A clinical pathway efficacy index data scientific research achievement retrieval and archiving method and system

Abstract

The application discloses a clinical pathway curative effect index data scientific research achievement retrieval and archiving method and system, and belongs to the field of clinical medical information management. A clinical pathway template containing multiple nodes and node collection rules is acquired; curative effect index data collected at each node and scientific research achievements generated based on the data are acquired; a curative effect index name recorded in the scientific research achievements is compared with a should-collect index name recorded in the node collection rules to determine a belonging node; a correlation file is established to record a mapping relationship among the node, the curative effect index data, the scientific research achievements, the belonging node and the curative effect index data; a retrieval condition is received, and matched scientific research achievements are found based on the correlation file, and a retrieval and archiving result is output. The application realizes accurate correlation and archiving of scientific research achievements and clinical pathway nodes, supports multi-dimensional efficient retrieval, and improves the accuracy and result reliability of retrieval and archiving.

Description

Technical Field

[0001] This application relates to the field of clinical medical information management and scientific research data archiving technology, specifically to a method and system for retrieving and archiving scientific research results of clinical pathway efficacy indicator data. Background Technology

[0002] In hospital clinical research, clinical pathway management systems and research outcome management systems typically operate independently. Clinical pathway management systems focus on the node-based execution and quality control of treatment processes, with internal data organized according to treatment nodes. Research outcome management systems focus on literature entry, classification, and retrieval, managing data according to dimensions such as author, keywords, and publication date. In this specific scenario, the two systems face challenges due to their heterogeneous data models and lack of a correlation mechanism. When researchers produce research results based on clinical pathway case data, they need to link the efficacy indicator data in the results with the treatment nodes of the clinical pathway for archiving, enabling subsequent retrieval and reuse by node. However, existing clinical pathway systems do not use node collection rules as a verification benchmark for archiving research outcomes, and research outcome management systems lack a mapping mechanism from outcome indicators to clinical pathway nodes. This leads to mismatches between efficacy indicator data and treatment nodes during archiving, making it difficult to accurately filter relevant research outcomes by node during retrieval, and making it difficult to distinguish the reliability of data sources and whether cases were performed according to standard pathways.

[0003] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0004] The purpose of this application is to provide a method and system for retrieving and archiving research results on clinical pathway efficacy indicators. This system has the advantages of enabling precise archiving of research results and clinical pathway nodes, supporting efficient multi-dimensional retrieval based on node name, indicator name, data reliability, case pathway compliance, and data fragment characteristics, thereby improving the accuracy and reliability of retrieval and archiving.

[0005] Firstly, this application provides a method for retrieving and archiving research findings on clinical pathway efficacy indicator data, the technical solution of which is as follows: Obtain a clinical pathway template, which includes multiple nodes arranged in the order of diagnosis and treatment. Each node is configured with a node name and node collection rules. The node collection rules include the names of the efficacy indicators that should be collected for that node. Acquire therapeutic efficacy index data collected by each node according to the node collection rules, as well as research results generated based on the therapeutic efficacy index data. The therapeutic efficacy index data includes the index name and index value; the research results record the names of the cited therapeutic efficacy indicators. The names of each therapeutic indicator recorded in the research results are compared with the names of therapeutic indicators that should be collected as recorded in the node collection rules of each node to determine the node to which each therapeutic indicator name belongs. Establish an association archive, which records the mapping relationship between each node and the corresponding efficacy indicator data, the mapping relationship between each scientific research result and the node to which it belongs, and the reference mapping relationship between the scientific research result and the corresponding efficacy indicator data; The system receives search criteria including the target node name and the target indicator name, searches for matching research results based on the associated archives, and outputs the search archive results, which include the research results and the corresponding associated archives.

[0006] Furthermore, the node acquisition rules also include the acquisition conditions for the efficacy indicator data that should be acquired at that node, including the acquisition time window and pre-acquisition preparation requirements; The step of comparing the names of each therapeutic indicator recorded in the scientific research results with the names of therapeutic indicators that should be collected as recorded in the node collection rules of each node to determine the node to which each therapeutic indicator name belongs includes: The names of each therapeutic indicator recorded in the research results are compared with the names of therapeutic indicators that should be collected as recorded in the node collection rules of each node, and a name comparison result is generated. If the names are consistent, the therapeutic indicator data is verified to meet the collection time window and the pre-collection preparation requirements, and a collection condition verification result is generated. The node to which the name of the therapeutic indicator belongs is determined based on the name comparison results and the data collection condition verification results.

[0007] Furthermore, determining the node to which the name of the therapeutic indicator belongs based on the name comparison results and the data collection condition verification results includes: If the name of the therapeutic indicator is consistent with the name of the therapeutic indicator to be collected recorded in the node collection rules, and the therapeutic indicator data meets the collection time window and the pre-collection preparation requirements, then the therapeutic indicator name is marked as normally assigned and the node is recorded as the assigned node. If the name of the therapeutic indicator is inconsistent with the name of the therapeutic indicator to be collected, or if the data of the therapeutic indicator does not meet the collection time window or the pre-collection preparation requirements, then the name of the therapeutic indicator is marked as abnormal and the reason for the abnormality is recorded. The reason for the abnormality includes name mismatch or collection conditions not being met.

[0008] Furthermore, the step of obtaining the efficacy indicator data collected by each node according to the node collection rules also includes: recording the collection status of each efficacy indicator data, wherein the collection status includes normal collection, missed collection, or supplementary collection.

[0009] Furthermore, the establishment of associated files also includes: The collection status of each efficacy indicator data is associated with and recorded with the corresponding nodes and research results; A quality tag field for efficacy indicator data is set in the associated archive. A corresponding quality tag is generated according to the collection status and written into the quality tag field. The quality tag is used to indicate the reliability of the efficacy indicator data.

[0010] Furthermore, the establishment of associated files also includes: Obtain the actual diagnosis and treatment node sequence of the case, compare the actual diagnosis and treatment node sequence with the node sequence of the clinical pathway template, and determine the path deviation node. The path deviation node is a node in the actual diagnosis and treatment node sequence that is inconsistent with the node sequence of the clinical pathway template. The path deviation node is recorded in the associated file, and a path deviation marker field is set in the associated file. The path deviation marker field is used to record whether the case has a path deviation.

[0011] Furthermore, the method also includes: Construct an archive index, wherein the archive index uses node name, indicator name, scientific research result type and the path deviation marker field as index fields; The receiving criteria, which include the target node name and the target indicator name, also include: The system receives search criteria including target path deviation markers, searches the archive index for research results whose path deviation markers match the target path deviation markers, and outputs the search archive results, which include the research results and corresponding associated files.

[0012] Furthermore, obtaining research results based on the efficacy index data also includes: marking and recording efficacy index data segments in the research results, wherein the efficacy index data segments include index values ​​and the recording position of the index values ​​in the research results. When establishing the associated archive, a mapping relationship record is established between the therapeutic efficacy index data fragment and the corresponding therapeutic efficacy index data. The mapping relationship record is written into the associated archive. The mapping relationship record is used to locate the originally collected therapeutic efficacy index data from the data fragment in the scientific research results.

[0013] Furthermore, the method also includes: Construct an archive index, wherein the archive index uses node name, indicator name, scientific research result type and the mapping relationship record as index fields; The receiving criteria, which include the target node name and the target indicator name, also include: Receive search criteria including features of the data segment to be searched, wherein the features of the data segment to be searched include the range of target index values ​​or the target recorded location; Based on the mapping relationship, the corresponding therapeutic indicator data is located from the associated archives, the associated research results are searched, and the search archive results are output, which include the research results and the corresponding associated archives.

[0014] Secondly, a research results retrieval and archiving system for clinical pathway efficacy indicator data is also proposed, including: The first acquisition module acquires a clinical pathway template, which includes multiple nodes arranged in the order of diagnosis and treatment. Each node is configured with a node name and node acquisition rules. The node acquisition rules include the names of the efficacy indicators that should be collected for that node. The second acquisition module acquires the efficacy indicator data collected by each node according to the node acquisition rules, as well as the research results generated based on the efficacy indicator data. The efficacy indicator data includes the indicator name and indicator value; the research results record the cited efficacy indicator names. The comparison module compares the names of each therapeutic indicator recorded in the scientific research results with the names of therapeutic indicators that should be collected as recorded in the node collection rules of each node, and determines the node to which each therapeutic indicator name belongs. The association module establishes an association file, which records the mapping relationship between each node and the corresponding efficacy indicator data, the mapping relationship between each scientific research result and the node to which it belongs, and the reference mapping relationship between the scientific research result and the corresponding efficacy indicator data. The retrieval and archiving module receives retrieval conditions including target node names and target indicator names, searches for matching research results based on the associated archives, and outputs retrieval and archiving results, which include the research results and corresponding associated archives.

[0015] As shown above, this application establishes an accurate attribution relationship between research results and treatment nodes by comparing and verifying the names of efficacy indicators in research results with the collection rules of clinical pathway nodes, thus avoiding node mismatch during archiving. By recording the collection status and quality markers, it distinguishes the reliability of normal collection, missed collection, and supplementary collection data. By using path deviation markers, it filters out case data executed according to standard pathways, ensuring the clinical comparability of research results. By recording data fragment mapping relationships, it achieves rapid location from specific values ​​in the results to original clinical data. By incorporating the above markers into the archiving index, it supports multi-dimensional retrieval based on nodes, indicators, data quality, path compliance, and fragment characteristics, significantly improving the accuracy and efficiency of retrieval and archiving. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the steps of the clinical pathway efficacy indicator data retrieval and archiving method for scientific research results disclosed in this embodiment of the invention. Figure 2 This is a schematic diagram of the structure of the clinical pathway efficacy indicator data scientific research achievement retrieval and archiving system disclosed in the embodiments of the present invention. Detailed Implementation

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which these embodiments belong; the terminology used herein and in the specification of the application is for the purpose of describing particular embodiments only and is not intended to limit these embodiments; the terms "comprising" and "having," and any variations thereof, in the specification of these embodiments and the foregoing description of the accompanying drawings, are intended to cover non-exclusive inclusion. The terms "first," "second," etc., in the specification of these embodiments and the foregoing description of the accompanying drawings are used to distinguish different objects, not to describe a particular order.

[0019] The implementation details of the technical solution in this embodiment are described in detail below: In clinical research management scenarios, hospital clinical pathway systems record efficacy indicators for cases according to treatment nodes, while research management systems independently store research results such as papers and reports. For example, when researchers need to search for "research results related to white blood cell count on postoperative day 3," because the two systems lack a mapping mechanism between efficacy indicators and treatment nodes, administrators cannot determine which node the indicator data cited in the results belongs to, nor can they distinguish whether the data was collected normally or supplemented, or whether it comes from cases deviating from the pathway. This results in search results mixed with irrelevant results or data from unreliable sources, seriously affecting the reuse efficiency and clinical reference value of research results.

[0020] This application proposes a method for retrieving and archiving research findings on clinical pathway efficacy indicator data, such as... Figure 1 As shown, the method includes: S101, Obtain a clinical pathway template. The clinical pathway template includes multiple nodes arranged in the order of diagnosis and treatment. Each node is configured with a node name and node collection rules. The node collection rules include the names of efficacy indicators that should be collected for that node. In one embodiment, both the clinical pathway management system and the research management system provide standard data interfaces. The method described above obtains clinical pathway templates, efficacy indicator data, and research results by calling these standard data interfaces. The data format returned by the standard data interface includes JSON or XML format. The method performs field mapping on the data returned by the interface, unifying the field names in heterogeneous systems to the standard field names used in this method. This field mapping includes mapping the node identifier field in the clinical pathway management system to the node name field, and mapping the result citation field in the research management system to the efficacy indicator name field.

[0021] In this embodiment, a clinical pathway template is obtained by retrieving a pre-configured standardized treatment process file for the target disease from the hospital's clinical pathway management system. This clinical pathway template contains N nodes arranged sequentially according to the treatment timeline, denoted as node 1 to node N, where N is a positive integer greater than 1. The hospital's clinical pathway system is an information system that manages standardized treatment processes by disease category. The system pre-configures a clinical pathway template for each disease, containing multiple nodes arranged in the treatment sequence. Each node defines the examinations, treatments, and data collection requirements to be performed at that stage. Clinical medical staff perform treatment activities according to the node sequence and enter efficacy indicator data, medical order execution records, and case status information at each node. The data stored in the system mainly includes two parts: the pathway template configuration and the actual treatment node sequence of the case. The former specifies the standard process, while the latter records the actual execution trajectory and data collection results of the case.

[0022] Each node i is configured with a node name Ni and a node acquisition rule Ci. The node name Ni is used to identify the clinical stage of the diagnosis and treatment process. For example, node 1 corresponds to admission assessment, node 2 corresponds to preoperative examination, node 3 corresponds to the day of surgery, node 4 corresponds to postoperative day 1, node 5 corresponds to postoperative day 3, and node 6 corresponds to discharge assessment. The nodes are arranged in the order in which the actual diagnosis and treatment occur, forming a node sequence.

[0023] The node collection rules Ci are stored in the clinical pathway management system in the form of a structured data table. Each rule record includes a node identifier, node name, a list of therapeutic indicators to be collected, the start and end times of the collection time window, and pre-collection preparation requirements. This data table supports querying and reading by node identifier. For node i, the names of the therapeutic indicators to be collected are denoted as Ii1, Ii2, up to Iim (inclusive of Ci), where m is the number of therapeutic indicators to be collected at node i, and Iij represents the name of the j-th therapeutic indicator to be collected at node i. For example, for the node corresponding to postoperative day 3, the therapeutic indicator names recorded in its node collection rules include white blood cell count, C-reactive protein, body temperature, and incision healing grade.

[0024] The node data collection rules also include the collection conditions for the efficacy indicator data to be collected at that node. These collection conditions include a collection time window Ti and pre-collection preparation requirements Pi. The collection time window Ti specifies the effective collection period for the efficacy indicator data at that node on the treatment timeline. The pre-collection preparation requirements Pi specify the clinical preparation status that the patient must meet before collecting the efficacy indicator data, such as fasting status, medication discontinuation requirements, or body position requirements. For example, for fasting blood glucose collection, the pre-collection preparation requirement is that the patient has not ingested calories for at least 8 hours before collection; for postoperative incision healing grade assessment, the pre-collection preparation requirement is that the patient is in a resting position and the incision dressing has been removed.

[0025] S102, acquire the efficacy indicator data collected by each node according to the node acquisition rules and the research results generated based on the efficacy indicator data, wherein the efficacy indicator data includes indicator name and indicator value; the research results record the cited efficacy indicator names. Specifically, the efficacy indicator data collected at each node according to the node collection rules is obtained, that is, the efficacy indicator data of cases is collected at each node according to the clinical pathway template obtained in S101. For node i, the corresponding efficacy indicator data is collected according to the set of efficacy indicator names to be collected recorded in the node collection rules Ci. The efficacy indicator data Di consists of the indicator name Iij and the measured value Vij, where Iij represents the name of the j-th efficacy indicator at node i, and Vij represents the measured value of the indicator at node i.

[0026] For example, for the 3rd postoperative day, according to the data collection rules, white blood cell count, C-reactive protein, and body temperature should be collected. The collected efficacy indicator data would then include: efficacy indicator data with white blood cell count as the indicator name and a measured value of V1; efficacy indicator data with C-reactive protein as the indicator name and a measured value of V2; and efficacy indicator data with body temperature as the indicator name and a measured value of V3.

[0027] Obtaining research outcomes based on efficacy indicator data involves retrieving research papers, reports, or clinical summaries written using these data from the hospital's research management system or literature database. These research outcomes record the names of the cited efficacy indicators, indicating which efficacy indicator data the researchers used as the basis for their research. The research management system is an information system for managing medical research outcomes, used to input, store, and retrieve papers, reports, and clinical summaries produced by researchers. This system typically catalogs outcomes by author, keywords, publication date, and subject classification. Its retrieval dimensions are limited to the level of document attributes; it does not establish a mapping relationship between the efficacy indicator data cited in the outcomes and clinical pathway treatment nodes, nor does it record the collection status of the cited data or case pathway compliance information.

[0028] Furthermore, acquiring the efficacy indicator data collected by each node according to the node's collection rules also includes recording the collection status of each efficacy indicator data. The collection status Sij is used to describe the actual collection status of the j-th efficacy indicator data at node i, including three statuses: normal collection, missed collection, or supplementary collection.

[0029] Specifically, normal data collection means that the efficacy indicator Iij is collected on time at node i according to the collection time window Ti and pre-collection preparation requirements Pi specified in the node collection rules, and the measured value Vij is obtained. Missed data collection means that the efficacy indicator Iij is not collected within the collection time window Ti, and the measured value Vij is missing. Supplementary data collection means that outside the collection time window Ti, the measured value Vij of the efficacy indicator Iij is obtained by supplementing examinations or reviewing historical medical records.

[0030] For each therapeutic efficacy indicator Iij to be collected at node i, the system records its collection status Sij. If the collection is completed on time, Sij is marked as normal collection; if it is not collected and not completed, Sij is marked as missed collection; if it is completed after the timeout, Sij is marked as supplementary collection.

[0031] S103, compare the names of each therapeutic indicator recorded in the scientific research results with the names of therapeutic indicators that should be collected recorded in the node collection rules of each node to determine the node to which each therapeutic indicator name belongs.

[0032] Specifically, the names of each efficacy indicator recorded in the research results are compared with the names of the efficacy indicators that should be collected as recorded in the node collection rules of each node. That is, for each cited efficacy indicator name recorded in the research results, each node in the clinical pathway template is traversed in turn, and the efficacy indicator name is matched with the set of efficacy indicator names that should be collected as recorded in the node collection rules of the current node.

[0033] Let Rk be the name of the kth therapeutic indicator recorded in the research results, where k ranges from 1 to K, and K is the total number of therapeutic indicators cited in the research results. Let Ci be the set of therapeutic indicator names to be collected recorded in the node collection rules of node i, which includes the name of the jth therapeutic indicator to be collected, Iij, where j ranges from 1 to m, and m is the number of therapeutic indicators to be collected at node i.

[0034] For each Rk, perform a name comparison: determine if Rk is the same as any Iij in the node collection rules of node i. If Rk is the same as Iij, the name comparison result is consistent, and Matchki is recorded as 1; if Rk is not the same as any Iij in Ci, the name comparison result is inconsistent, and Matchki is recorded as 0.

[0035] Furthermore, in this embodiment, the node acquisition rules also include the acquisition conditions for the therapeutic efficacy indicator data that should be acquired by the node, and the acquisition conditions include the acquisition time window and the pre-acquisition preparation requirements; The step of comparing the names of each therapeutic indicator recorded in the research results with the names of therapeutic indicators to be collected as recorded in the node collection rules of each node to determine the node to which each therapeutic indicator name belongs includes: comparing the names of each therapeutic indicator recorded in the research results with the names of therapeutic indicators to be collected as recorded in the node collection rules of each node to generate a name comparison result; if the names are consistent, verifying whether the therapeutic indicator data meets the collection time window and the pre-collection preparation requirements to generate a collection condition verification result; and determining the node to which the therapeutic indicator name belongs based on the name comparison result and the collection condition verification result.

[0036] Specifically, the data collection conditions include the collection time window Ti and the pre-collection preparation requirements Pi. If the name comparison result Matchki equals 1, then the data of the therapeutic effect indicator is further verified to see if it meets the collection conditions. Let the actual collection time of the therapeutic effect indicator data be tk, and the collection time window Ti of node i be the period from Tistart to Tiend. If tk is greater than or equal to Tistart and tk is less than or equal to Tiend, then the collection time window verification passes, and it is recorded as TimeCki equals 1; otherwise, TimeCki equals 0.

[0037] Let Pi be the set of clinical conditions that a case must meet before collecting data on this efficacy indicator. If a case meets all the preparation conditions specified in Pi before collection, the pre-collection preparation requirements pass the verification, denoted as PrepCki equal to 1; otherwise, PrepCki equals 0.

[0038] Generate the data acquisition condition verification result: If TimeCki equals 1 and PrepCki equals 1, then the data acquisition condition verification result is passed, and it is recorded as CondCki equals 1; if TimeCki equals 0 or PrepCki equals 0, then CondCki equals 0.

[0039] Based on the name comparison results and the data collection condition verification results, determine the node to which the therapeutic indicator name belongs: if Matchki equals 1 and CondCki equals 1, then determine node i as the node to which the therapeutic indicator name Rk belongs, denoted as Nodek equals i.

[0040] In this embodiment, determining the attribution node of the efficacy indicator name based on the name comparison result and the collection condition verification result includes: If the name of the therapeutic indicator is consistent with the name of the therapeutic indicator to be collected recorded in the node collection rules, and the therapeutic indicator data meets the collection time window and the pre-collection preparation requirements, then the therapeutic indicator name is marked as normally assigned and the node is recorded as the assigned node. If the name of the therapeutic indicator is inconsistent with the name of the therapeutic indicator to be collected, or if the data of the therapeutic indicator does not meet the collection time window or the pre-collection preparation requirements, then the name of the therapeutic indicator is marked as abnormal and the reason for the abnormality is recorded. The reason for the abnormality includes name mismatch or collection conditions not being met.

[0041] Specifically, if Matchki equals 1 and CondCki equals 1, then Rk is marked as having a normal affiliation, its state is recorded as Normal, and node i is recorded as its affiliation node Nodek. If, after traversing all nodes, Matchki equals 0 for any node i, then Rk is marked as having an abnormal affiliation, its state is recorded as Abnormal, the reason for the abnormality is recorded as name mismatch, and the affiliation node Nodek is empty. If there exists a node i such that Matchki equals 1, but CondCki equals 0, then Rk is marked as having an abnormal affiliation, its state is recorded as Abnormal, the reason for the abnormality is recorded as collection conditions not being met, and the affiliation node Nodek is empty.

[0042] Through the above comparison and verification, the source node of each efficacy indicator name in the diagnosis and treatment process can be determined. The node collection rules are pre-configured with the efficacy indicator names that should be collected at each node and their collection conditions. This configuration provides a node-level constraint benchmark for attribution verification, thereby reducing node mismatches caused by simply relying on name matching. An accurate mapping relationship is established between the efficacy indicator data after attribution verification and the corresponding nodes in the clinical pathway. This mapping relationship serves as the basis for subsequent establishment of associated files and retrieval archiving.

[0043] S104, establish an association file, which records the mapping relationship between each node and the corresponding therapeutic efficacy index data, the mapping relationship between each scientific research result and the node to which it belongs, and the reference mapping relationship between the scientific research result and the corresponding therapeutic efficacy index data.

[0044] Specifically, an associated archive is established, which involves constructing a structured archive record based on the clinical pathway template obtained in S101, the efficacy indicator data and research results obtained in S102, and the attribution nodes determined in S103. The associated archive contains three mapping layers. The first layer is the mapping relationship between nodes and efficacy indicator data, denoted as MapNodeData. For node i, MapNodeData records the set Di of all efficacy indicator data corresponding to that node, where each efficacy indicator data includes the indicator name Iij, the measured value Vij, and the collection status Sij of the data at node i. The second layer is the mapping relationship between research results and attribution nodes, denoted as MapAchieveNode. For research results Fk, MapAchieveNode records the set NodeSetk of attribution nodes determined after the attribution verification of each efficacy indicator name in the result in S103. The third layer is the reference mapping relationship between research results and efficacy indicator data, denoted as MapAchieveData. For the name Rk of the kth therapeutic indicator cited in the research result Fk, MapAchieveData records the correspondence between the therapeutic indicator name Rk cited in the result and the corresponding indicator name Iij and measured value Vij in the original collected data.

[0045] In one embodiment, S104, the step of establishing the associated file further includes: The collection status of each efficacy indicator data is associated with and recorded with the corresponding nodes and research results; A quality tag field for efficacy indicator data is set in the associated archive. A corresponding quality tag is generated according to the collection status and written into the quality tag field. The quality tag is used to indicate the reliability of the efficacy indicator data.

[0046] Specifically, in the first-level mapping MapNodeData of the associated archives, a collection status field and a quality marker field are added for each efficacy indicator data Di. The collection status field records the collection status Sij determined in S102, including normal collection, missed collection, or supplementary collection. The quality marker field is denoted as Qij, and its value is generated according to the following rules based on the collection status Sij: if Sij is normal collection, then Qij is assigned the value of reliable data; if Sij is missed collection, then Qij is assigned the value of missing data; if Sij is supplementary collection, then Qij is assigned the value of supplementary data.

[0047] When establishing the third-layer mapping MapAchieveData, the efficacy indicator data Rk referenced by the research result Fk is associated with the original efficacy indicator data Iij, and the quality tag Qij corresponding to the original efficacy indicator data is also associated simultaneously. Therefore, each reference mapping relationship between a research result and efficacy indicator data in the associated archive carries the collection status and quality tag information of that efficacy indicator data.

[0048] The three-layer mapping relationship described above, together with the quality tag field, constitutes a structured associated record. After the collection status and quality tag are included in the associated archive, the retrieval and archiving process can filter data based on its reliability. Data from unreliable sources is distinguished from normally collected data, thereby improving the accuracy of scientific research archiving and the credibility of retrieval results.

[0049] S105, receive search conditions including target node name and target indicator name, search for matching scientific research results based on the associated archives, and output search archive results, the search archive results including the scientific research results and corresponding associated archives.

[0050] Specifically, the system receives search criteria including the target node name and the target indicator name, i.e., the user or system submits a query request to the search interface, where the target node name is denoted as Nt and the target indicator name is denoted as It. It then searches for matching research results based on associated archives, specifically, it performs a matching search within the associated archives established in S104 based on the target node name Nt and the target indicator name It.

[0051] The search process is as follows: First, iterate through the second-level mapping MapAchieveNode in the associated archives, filtering out research results Fk whose belonging node set NodeSetk contains the target node name Nt. Then, iterate through the first-level mapping MapNodeData in the associated archives, filtering out efficacy indicator data whose indicator name Iij equals It from the efficacy indicator data set Di where node i equals Nt. Finally, iterate through the third-level mapping MapAchieveData in the associated archives, filtering out research results that reference the indicator name It and whose belonging node is Nt. The resulting set of research results is denoted as ResultSet.

[0052] Output the retrieval archive results, which include each research result Fk in the ResultSet and its corresponding mapping records in the associated archives. The retrieval archive results include the research result itself, as well as the node affiliation information, efficacy indicator data citation information, and quality marker information of the result in the associated archives.

[0053] Furthermore, therapeutic efficacy index data segments are marked in the research results, and the therapeutic efficacy index data segments include index values ​​and the location where the index values ​​are recorded in the research results.

[0054] Specifically, when acquiring research findings Fk, each therapeutic indicator data Rk referenced in Fk is segmented. The therapeutic indicator data segment is denoted as Fragmentk and contains two parts: first, the labeled value Vk, which is the specific value actually recorded in the research findings; second, the recording position Pk, which is the specific location information of the indicator value Vk in the research findings, such as page number, paragraph number, or table number.

[0055] When establishing the associated archive, a mapping relationship record is established between the therapeutic efficacy index data fragment and the corresponding therapeutic efficacy index data. The mapping relationship record is written into the associated archive. The mapping relationship record is used to locate the originally collected therapeutic efficacy index data from the data fragment in the scientific research results.

[0056] Specifically, in the third-level mapping MapAchieveData of the associated archive established in S104, a fragment mapping sub-layer MapFragmentData is added. For each therapeutic indicator data fragment Fragmentk in the research result Fk, a mapping relationship record is established in MapFragmentData, denoted as Recordk. Recordk contains the research result identifier IDk, indicator value Vk, recording position Pk, and the original therapeutic indicator data identifier corresponding to the fragment. This identifier points to the indicator name Iij and the measured value Vij at node i in MapNodeData.

[0057] Therefore, when it is necessary to trace the original source of a specific data fragment in a research result, the original collected therapeutic indicator data Iij and Vij, as well as the collection status Sij and quality marker Qij corresponding to the data, can be located from the indicator value Vk and the recording position Pk in the research result through the mapping relationship record Recordk in MapFragmentData.

[0058] Based on this, in this embodiment, by marking data fragments in research results and establishing mapping relationship records, the retrieval and archiving results not only include the research results themselves, but also support the reverse locating of original clinical data from specific data fragments within the results. Because the mapping relationship records associate the indicator values ​​and recording locations in the research results with the original efficacy indicator data, the data source can be accurately traced during subsequent verification or reproduction.

[0059] Furthermore, the method also includes: constructing an archive index, wherein the archive index uses node name, indicator name, scientific research result type and the mapping relationship record as index fields; Specifically, an archive index is constructed, which is an inverted index structure for rapid retrieval based on the associated archives established in S104. This inverted index uses node name, indicator name, and research outcome type as key fields, and the corresponding research outcome identifier set as an inverted list, supporting rapid location of associated research outcomes through combined queries of key fields. The archive index is denoted as Index and contains four index fields. The first index field is the node name, denoted as FieldN, whose value is the node name Ni of each node in the clinical pathway template. The second index field is the indicator name, denoted as FieldI, whose value is the name Iij of the efficacy indicator that should be collected and actually collected at each node. The third index field is the research outcome type, denoted as FieldT, whose value is the classification identifier of the research outcome, such as clinical paper, case report, or research review. The fourth index field is the mapping relationship record, denoted as FieldR, whose value is the identifier or index value of the mapping relationship record Recordk established in S105.

[0060] During construction, all mapping relationship records in the associated archives are traversed. For each record, its own node name, efficacy indicator name, research achievement type, and the mapping relationship record itself are extracted to generate index entries and write them to the archived index. Thus, each entry in the archived index contains the association path from the node name, indicator name, research achievement type to the mapping relationship record.

[0061] Furthermore, this embodiment constructs and retrieves an archived index based on path deviation markers. The receipt of search conditions including the target node name and the target metric name also includes: Receive search criteria including features of the data segment to be searched, wherein the features of the data segment to be searched include the range of target index values ​​or the target recorded location; Based on the mapping relationship, the corresponding therapeutic indicator data is located from the associated archives, the associated research results are searched, and the search archive results are output, which include the research results and the corresponding associated archives.

[0062] Specifically, the features of the data segment to be queried are denoted as QueryF, and include two forms. The first is the numerical range of the target indicator, denoted as Vmin to Vmax, where Vmin is the lower limit of the range and Vmax is the upper limit of the range. The second is the target recording location, denoted as Pt, whose value is the location information in the scientific research results specified by the user.

[0063] When the received search criteria contain features of the data segment to be searched, the following location process is executed. If QueryF is the target indicator value range Vmin to Vmax, then the mapping relationship records corresponding to the fourth index field FieldR in the archive index are traversed. The indicator value Vk is extracted from each mapping relationship record Recordk, and it is determined whether Vk satisfies Vmin less than or equal to Vk and Vk less than or equal to Vmax. If satisfied, the corresponding original therapeutic indicator data in the associated archive is located through the mapping relationship record, denoted as TargetData, and then the research result Fk to which the data segment belongs is determined.

[0064] If QueryF is the target record location Pt, then the mapping relationship records corresponding to the fourth index field FieldR in the archive index are traversed, the record location Pk in each record is extracted, and it is determined whether Pk matches Pt. If they match, the corresponding original therapeutic effect indicator data TargetData is located through the mapping relationship record, and then the scientific research result Fk to which the data fragment belongs is determined.

[0065] The set of all research results obtained from the location is denoted as ResultSetF. The retrieved archive results are output, which include each research result in ResultSetF and the mapping relationship records and original efficacy index data in the corresponding related archives.

[0066] By setting mapping relationship records as index fields in the archived index, it's equivalent to establishing a reverse pointer from research data fragments to original efficacy indicator data at the index layer. When search conditions include features of the data fragment to be searched, the archived index directly hits the corresponding mapping relationship record, locating the original efficacy indicator data through this record, without needing to open each research document for full-text matching. If mapping relationship records are not included in the index fields, searches based on indicator value ranges or record locations can only perform text comparisons at the research document level, failing to directly link to the original collected data, resulting in a disconnect between search results and clinical data. Therefore, using mapping relationship records as index fields allows fragment-level searches to directly penetrate to the original clinical data layer, ensuring an accurate correspondence between the retrieved archived results and the original efficacy indicator data.

[0067] In some embodiments, S104, establishing the associated file further includes: Obtain the actual diagnosis and treatment node sequence of the case, compare the actual diagnosis and treatment node sequence with the node sequence of the clinical pathway template, and determine the path deviation node. The path deviation node is a node in the actual diagnosis and treatment node sequence that is inconsistent with the node sequence of the clinical pathway template. The path deviation node is recorded in the associated file, and a path deviation marker field is set in the associated file. The path deviation marker field is used to record whether the case has a path deviation.

[0068] Specifically, for each case included in the associated archive, the actual treatment node sequence for that case is obtained. The actual treatment node sequence is denoted as ActualSeq, which contains p nodes actually experienced by the case, arranged in the order of actual occurrence as A1, A2 to Ap, where Aq represents the node name of the q-th node in the actual treatment node sequence, and q takes values ​​from 1 to p.

[0069] The ActualSeq sequence of actual treatment nodes is compared with the StandardSeq sequence of the clinical pathway template. The StandardSeq sequence of the clinical pathway template contains N standard nodes arranged in the order of treatment, denoted as S1, S2 to SN, where Sr represents the node name of the r-th standard node in the template node sequence, and r takes a value from 1 to N.

[0070] During the comparison, Aq and Sr are compared sequentially node by node. If there exists a position q such that Aq and Sq are different, or if the total number of nodes p in the actual treatment node sequence is not equal to the total number of nodes N in the template node sequence, then a path deviation node is identified. A path deviation node is a node in the actual treatment node sequence ActualSeq that is inconsistent with the clinical pathway template node sequence StandardSeq.

[0071] For example, if the third node S3 in the standard node sequence is the first day after surgery, while the third node A3 in the actual treatment node sequence is the second day after surgery, then A3 is inconsistent with S3, and A3 is identified as a path deviation node.

[0072] Record path deviation nodes in the associated archive, that is, write the name of the determined path deviation node and its location information in ActualSeq into the second-level mapping MapAchieveNode of the associated archive, and associate it with the scientific research results corresponding to the case.

[0073] Set a path deviation flag field in the associated file, denoted as FlagD. If the actual diagnosis node sequence of the case is completely consistent with the template node sequence, that is, for all q, Aq equals Sq and p equals N, then FlagD is assigned the value that there is no path deviation; otherwise, FlagD is assigned the value that there is a path deviation.

[0074] In some embodiments, the method further includes: constructing an archive index, wherein the archive index uses node name, indicator name, research result type and path deviation marker field as index fields; Specifically, a fifth index field, FieldD, is added to the existing archive index; this is the path deviation flag field. The value of FieldD is the path deviation flag FlagD corresponding to each case in the associated archive, indicating whether a path deviation exists or not.

[0075] During construction, the system iterates through all case records corresponding to research results in the associated archives, extracts the path deviation marker FlagD for each case, and writes the FlagD, along with the node name, indicator name, and research result type, into an index entry and archive index.

[0076] Furthermore, the receiving of search conditions including target node name and target indicator name also includes: receiving search conditions including target path deviation mark, searching for research results in the archive index whose path deviation mark matches the target path deviation mark, and outputting the search archive results, wherein the search archive results include the research results and corresponding associated archives.

[0077] Specifically, the target path deviation marker is denoted as Dt. When the search criteria include Dt, the fifth index field FieldD in the archive index is traversed, and all index entries whose FieldD values ​​match Dt are selected. If Dt indicates no path deviation, all research results with FlagD indicating no path deviation are selected; if Dt indicates path deviation, all research results with FlagD indicating path deviation are selected.

[0078] The set of research results obtained after filtering is denoted as ResultSetD. The retrieved archive results are output, which include each research result in ResultSetD and the path deviation marker information and path deviation node records in the corresponding associated archives.

[0079] After the path deviation node and path deviation flag fields are written into the associated archive, the associated archive is enriched with verification information on case execution consistency. When the actual treatment node sequence of a case deviates from the template node sequence, the FlagD corresponding to the efficacy indicator data generated by that case is marked as having path deviation, distinguishing it from the flag status of standard path cases. After the path deviation flag is included in the FieldD of the archive index, the search conditions can be directly constrained to the path compliance level. The retrieved archive results, based on accurate node attribution, further possess the ability to screen for case execution consistency.

[0080] In one embodiment, the above method was simulated and tested. M research results were selected as test samples, each of which cited P therapeutic indicator names, where M and P are positive integers. The M research results were divided into two groups. The first group was retrieved after node attribution verification and association file establishment using the above method. The second group was retrieved using a conventional method based solely on string matching of therapeutic indicator names. Test results showed that in the first group, the proportion of therapeutic indicator names correctly attributed after node attribution verification was R1, while in the second group, the proportion of successfully matched names was R2, where R1 was greater than R2. Furthermore, the proportion of mixed abnormal attributions in the retrieval results of the first group was lower than that of the second group. The above tests indicate that attribution verification based on node collection rules reduces node mismatches, and the accuracy of retrieval and archiving is correspondingly improved.

[0081] The above method uses the node acquisition rules of the clinical pathway template as the benchmark for attribution verification. It performs node-level comparison and acquisition condition verification on the names of efficacy indicators cited in research results, thus mapping the efficacy indicator data in the research results to the corresponding nodes in the clinical pathway, reducing node mismatches. The acquisition status and quality markers of efficacy indicator data are recorded synchronously in the associated archives, distinguishing between normal acquisition, missed acquisition, and supplementary acquisition data sources, and preventing data with different reliability levels from being mixed. The comparison results between the actual case diagnosis and treatment node sequence and the template node sequence, as well as the path deviation marker field, enable the screening of research results based on the path compliance of cases during retrieval and archiving. Data from cases deviating from the path are distinguished from data from standard path cases in the search results, ensuring the clinical comparability of research results. The establishment of records of efficacy indicator data fragments and mapping relationships allows fragment-level retrieval based on indicator value range or recorded location to directly link to the original clinical data, reducing the full-text scanning step in traditional retrieval. After quality markers, path deviation markers, and mapping relationship records are included in the archived index, search conditions can simultaneously constrain node names, indicator names, research result types, data reliability, case path compliance, and data fragment characteristics. This expands the dimensions of archiving and searching for the association between research results and clinical path nodes and efficacy indicator data, thereby improving the accuracy of clinical research result archiving and the credibility of search results.

[0082] Secondly, this embodiment also proposes a research results retrieval and archiving system for clinical pathway efficacy indicator data, such as... Figure 2 As shown, it includes: The first acquisition module 201 acquires a clinical pathway template, which includes multiple nodes arranged in the order of diagnosis and treatment. Each node is configured with a node name and node acquisition rules. The node acquisition rules include the names of efficacy indicators that should be collected for that node. The second acquisition module 202 acquires the efficacy indicator data collected by each node according to the node acquisition rules and the research results generated based on the efficacy indicator data. The efficacy indicator data includes the indicator name and indicator value; the research results record the cited efficacy indicator names. The comparison module 203 compares the names of each therapeutic indicator recorded in the scientific research results with the names of therapeutic indicators that should be collected recorded in the node collection rules of each node to determine the node to which each therapeutic indicator name belongs. The association module 204 establishes an association file, which records the mapping relationship between each node and the corresponding efficacy indicator data, the mapping relationship between each scientific research result and the node to which it belongs, and the reference mapping relationship between the scientific research result and the corresponding efficacy indicator data. The retrieval and archiving module 205 receives retrieval conditions including target node names and target indicator names, searches for matching scientific research results based on the associated archives, and outputs retrieval and archiving results, which include the scientific research results and corresponding associated archives.

[0083] The modules described above can be deployed on the same server or distributed computing node, and interact with each other via a system bus or network communication interface. The clinical pathway template acquired by the first acquisition module 201 is transmitted to the comparison module 203 via the system bus as a benchmark for attribution verification; the efficacy indicator data and research results acquired by the second acquisition module 202 are transmitted to the comparison module 203 and the association module 204 via the system bus; the attribution node determined by the comparison module 203 is transmitted to the association module 204 for establishing an association file; the association file constructed by the association module 204 is transmitted to the retrieval and archiving module 205 for responding to retrieval requests.

[0084] This system is used to execute the clinical pathway efficacy indicator data research results retrieval and archiving method described in the first aspect. The specific process, data format and interaction logic of each module are consistent with the description in the method embodiment of the first aspect, and will not be repeated here.

[0085] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for retrieving and archiving research findings on clinical pathway efficacy indicator data, characterized in that, include: Obtain a clinical pathway template, which includes multiple nodes arranged in the order of diagnosis and treatment. Each node is configured with a node name and node collection rules. The node collection rules include the names of the efficacy indicators that should be collected for that node. Acquire therapeutic efficacy index data collected by each node according to the node collection rules, as well as research results generated based on the therapeutic efficacy index data. The therapeutic efficacy index data includes the index name and index value; the research results record the names of the cited therapeutic efficacy indicators. The names of each therapeutic indicator recorded in the research results are compared with the names of therapeutic indicators that should be collected as recorded in the node collection rules of each node to determine the node to which each therapeutic indicator name belongs. Establish an association archive, which records the mapping relationship between each node and the corresponding efficacy indicator data, the mapping relationship between each scientific research result and the node to which it belongs, and the reference mapping relationship between the scientific research result and the corresponding efficacy indicator data; The system receives search criteria including the target node name and the target indicator name, searches for matching research results based on the associated archives, and outputs the search archive results, which include the research results and the corresponding associated archives.

2. The method for retrieving and archiving research findings on clinical pathway efficacy indicator data according to claim 1, characterized in that, The node acquisition rules also include the acquisition conditions for the efficacy indicator data that should be collected at the node, including the acquisition time window and pre-collection preparation requirements; The step of comparing the names of each therapeutic indicator recorded in the scientific research results with the names of therapeutic indicators that should be collected as recorded in the node collection rules of each node to determine the node to which each therapeutic indicator name belongs includes: The names of each therapeutic indicator recorded in the research results are compared with the names of therapeutic indicators that should be collected as recorded in the node collection rules of each node, and a name comparison result is generated. If the names are consistent, the therapeutic indicator data is verified to meet the collection time window and the pre-collection preparation requirements, and a collection condition verification result is generated. The node to which the name of the therapeutic indicator belongs is determined based on the name comparison results and the data collection condition verification results.

3. The method for retrieving and archiving research results on clinical pathway efficacy indicator data according to claim 2, characterized in that, The step of determining the attribution node for the name of the therapeutic indicator based on the name comparison results and the data collection condition verification results includes: If the name of the therapeutic indicator is consistent with the name of the therapeutic indicator to be collected recorded in the node collection rules, and the therapeutic indicator data meets the collection time window and the pre-collection preparation requirements, then the therapeutic indicator name is marked as normally assigned and the node is recorded as the assigned node. If the name of the therapeutic indicator is inconsistent with the name of the therapeutic indicator to be collected, or if the data of the therapeutic indicator does not meet the collection time window or the pre-collection preparation requirements, then the name of the therapeutic indicator is marked as abnormal and the reason for the abnormality is recorded. The reason for the abnormality includes name mismatch or collection conditions not being met.

4. The method for retrieving and archiving research results on clinical pathway efficacy indicator data according to claim 1, characterized in that, The process of acquiring efficacy indicator data collected by each node according to the node acquisition rules also includes: recording the acquisition status of each efficacy indicator data, wherein the acquisition status includes normal acquisition, missed acquisition, or supplementary acquisition.

5. The method for retrieving and archiving research results on clinical pathway efficacy indicator data according to claim 4, characterized in that, The establishment of associated files also includes: The collection status of each efficacy indicator data is associated with and recorded with the corresponding nodes and research results; A quality tag field for efficacy indicator data is set in the associated archive. A corresponding quality tag is generated according to the collection status and written into the quality tag field. The quality tag is used to indicate the reliability of the efficacy indicator data.

6. The method for retrieving and archiving research results on clinical pathway efficacy indicator data according to claim 1, characterized in that, The establishment of associated files also includes: Obtain the actual diagnosis and treatment node sequence of the case, compare the actual diagnosis and treatment node sequence with the node sequence of the clinical pathway template, and determine the path deviation node. The path deviation node is a node in the actual diagnosis and treatment node sequence that is inconsistent with the node sequence of the clinical pathway template. The path deviation node is recorded in the associated file, and a path deviation marker field is set in the associated file. The path deviation marker field is used to record whether the case has a path deviation.

7. The method for retrieving and archiving research results on clinical pathway efficacy indicator data according to claim 6, characterized in that, The method further includes: Construct an archive index, wherein the archive index uses node name, indicator name, scientific research result type and the path deviation marker field as index fields; The receiving criteria, which include the target node name and the target indicator name, also include: The system receives search criteria including target path deviation markers, searches the archive index for research results whose path deviation markers match the target path deviation markers, and outputs the search archive results, which include the research results and corresponding associated files.

8. The method for retrieving and archiving research results on clinical pathway efficacy indicator data according to claim 1, characterized in that, Obtaining research results based on the efficacy index data also includes: marking the recorded efficacy index data segments in the research results, wherein the efficacy index data segments include index values ​​and the recorded position of the index values ​​in the research results. When establishing the associated archive, a mapping relationship record is established between the therapeutic efficacy index data fragment and the corresponding therapeutic efficacy index data. The mapping relationship record is written into the associated archive. The mapping relationship record is used to locate the originally collected therapeutic efficacy index data from the data fragment in the scientific research results.

9. The method for retrieving and archiving research results on clinical pathway efficacy indicator data according to claim 8, characterized in that, The method further includes: Construct an archive index, wherein the archive index uses node name, indicator name, scientific research result type and the mapping relationship record as index fields; The receiving criteria, which include the target node name and the target indicator name, also include: Receive search criteria including features of the data segment to be searched, wherein the features of the data segment to be searched include the range of target index values ​​or the target recorded location; Based on the mapping relationship, the corresponding therapeutic indicator data is located from the associated archives, the associated research results are searched, and the search archive results are output, which include the research results and the corresponding associated archives.

10. A system for retrieving and archiving research findings on clinical pathway efficacy indicators, characterized in that, include: The first acquisition module acquires a clinical pathway template, which includes multiple nodes arranged in the order of diagnosis and treatment. Each node is configured with a node name and node acquisition rules. The node acquisition rules include the names of the efficacy indicators that should be collected for that node. The second acquisition module acquires the efficacy indicator data collected by each node according to the node acquisition rules, as well as the research results generated based on the efficacy indicator data. The efficacy indicator data includes the indicator name and indicator value; the research results record the cited efficacy indicator names. The comparison module compares the names of each therapeutic indicator recorded in the scientific research results with the names of therapeutic indicators that should be collected as recorded in the node collection rules of each node, and determines the node to which each therapeutic indicator name belongs. The association module establishes an association file, which records the mapping relationship between each node and the corresponding efficacy indicator data, the mapping relationship between each scientific research result and the node to which it belongs, and the reference mapping relationship between the scientific research result and the corresponding efficacy indicator data. The retrieval and archiving module receives retrieval conditions including target node names and target indicator names, searches for matching research results based on the associated archives, and outputs retrieval and archiving results, which include the research results and corresponding associated archives.

Images