85 results about "Clinical pathway" patented technology

An apparatus and method for generating a patient's medical record. The apparatus comprises a data input component that executes through a plurality of clinical, tree-like pathways that are traversed as data describing the patient's condition is entered, for example, by the physician during a clinical examination. At each node, the physician is prompted as to the additional health information required to traverse the clinical pathway. Once an end “leaf” is reached, the medical record is generated based on the path traversed through the clinical pathway. A web site stores the record for access via a web browser.

Medical professionals diagnose conditions and prescribe treatments or tests based on a process called a clinical pathway. The criteria within the pathway are largely memory-based. The system here manages the process and allows the physician or other health care professional to focus on decision making and patient care using clinical pathways programmed as spheres in a network connected by business rules.

A system, method and computer program product for forecasting one or more clinical pathways and resource requirements of at least one patient are provided. The system comprises an input module for receiving inputs pertaining to patient diagnostic data, the patient diagnostic data comprising information identified during diagnosis of the patient. The system also comprises a repository for storing data comprising at least one of patient data and pre-existing clinical pathways. The patient data comprises at least one of the patient diagnostic data received from the input module; patient historical data comprising historical treatment data of the patient and patient demographic data comprising demographic details of the patient. The system also comprises a clinical pathway forecasting module for forecasting clinical pathways by application of predetermined analytical models on the patient data and pre-existing clinical pathways. The system further comprises a resource requirement forecasting module for forecasting resource requirements of the patient.

A method is provided for assessing and documenting wound and skin conditions, and includes an automatically triggered alerting mechanism that is activated when a treatment is initiated that deviates or is a variation from an expected or standard treatment, under the current circumstances, and given previously gathered wound and skin condition patient information, and a method for triggering that alerting mechanism. In one embodiment the method includes the steps of initial patient care data gathering, clinical pathway identification and implementation, variance assessment and triggering, and issuance of variance cautions that are trigger during variance assessment and triggering, and are related to skin and wound care decisions made by healthcare professionals involved in a patient's care.

Systems, apparatus and methods are provided. An example method includes gathering healthcare data and analyzing care paths currently in use by a healthcare organization, the analyzing including analyzing patterns and variances with respect to the care paths; defining one or more evidence-based clinical pathways based on the gathered healthcare data and analyzed care paths in conjunction with practitioner review and supporting metrics; facilitating implementation of the defined one or more evidence-based clinical pathways using computerized orders, computer-facilitated workflows and clinical dashboards; tracking usage of the one or more evidence-based clinical pathways and providing reminders to users to encourage compliance; monitoring deviations from the one or more evidence-based clinical pathways; accepting feedback from at least one of patients and practitioners; and analyzing deviations and feedback with respect to the one or more evidence-based clinical pathways to determine modification of the one or more evidence-based clinical pathways.

The invention relates to a data processing method for clinical pathway quality evaluation. The data processing method comprises the steps of collecting and classifying clinical pathway quality evaluation index data of each hospital, combining similar terms of clinical pathway quality evaluation index data with same substances to acquire simplified quality evaluation index data, calculating the weight of the simplified quality evaluation index data by virtue of a gray relational degree analysis method, setting a grading value of the weighted quality evaluation index data, and calculating a combined score according to the grading value and the weight for the clinical pathway quality evaluation. The data processing method is suitable for sanitary administrative organs to evaluate the hospitals implementing clinical pathway management and execute emphasis management on later-ranked hospitals and weak links. The data processing method is also suitable for the hospitals to make transverse comparison on multiple disease entities in the clinical pathway management of each department, and the disease entities with relatively poor quality and the weak links of the disease entities can be rapidly identified and subjected to priority intervention, so that the management efficiency is improved, and the clinical pathway management quality is continuously improved.

The invention provides a disease early-warning method based on a knowledge base. The disease early-warning method comprises the steps of building a kidney disease knowledge base; monitoring inspectiondata of a patient; and inputting the inspection data of the patient into the knowledge base, and outputting a diagnosis result. According to the invention, the knowledge base of diseases is established by combining authority data such as clinical consensuses, clinical guidelines and clinical pathways of specialized diseases on the basis of historical clinical data of hospitals, and various dangerous factors and association relations thereof are automatically integrated based on an early-warning method of the specialized disease knowledge base, so that problems of solidified indexes and poor flexibility of the traditional expert system are solved. Meanwhile, the knowledge base is generated under specialized medical treatment alliance based on mass personalized data, and probability based relevance reasoning under the mass data well solves a problem of low discrimination of the traditional machine learning method. The invention further discloses a disease early-warning system based on the knowledge base.

The invention discloses a multi-source data assisted clinical decision support system and method. The system comprises a medical/pharmaceutical data storage unit, a clinical pathway/evidence storage unit, an information input unit, a comparison processor unit, a diagnosis and treatment result output unit and an early warning and operation recording unit. According to the multi-source data assisted clinical decision support system and method of the invention, feasible clinical diagnosis and treatment scheme suggestions and corresponding clinical research and real world research evidence support are provided for medical workers, the whole disease cycle of diagnosis, treatment, prognosis, out-of-hospital management, disease burden and the like is covered, and doctors are assisted to quickly improve the clinical diagnosis and treatment level; the contradiction that time and energy of medical workers are difficult to keep up with clinical research progress is solved, and medical resources are balanced. After the system is deployed to a hospital end, when a doctor makes a prescription, the system can carry out reasonable early warning on treatment and medication schemes specifically involved in a clinical path; based on individual differences of patients, the reasonability and safety of the medication schemes are ensured, and the overall medical service quality is improved.

The invention discloses a clinical pathway based medical auxiliary system and a method. The method includes steps: acquiring information of a patient; matching clinical pathway information corresponding to a target disease from a preset clinical pathway database according to the target disease; correcting clinical pathway decision information of the patient according to the information of the patient and the clinical pathway information corresponding to the target disease; monitoring execution conditions of the clinical pathway decision information of the patient according to the clinical pathway decision information. In a process of adopting the clinical pathway information for guiding diagnosis and treatment, when the patient has a specific symptom, a practical case is combined with the clinical pathway information, the clinical pathway information is corrected to form the clinical pathway decision information of the patient, and accordingly optimal treatment of the practical case is realized; in a process of clinical pathway decision information execution, execution conditions of each node are monitored, and effectiveness in medical cost control, medical expense reduction and increase of utilization rate of medical resources is realized according to different patient conditions.

The invention provides a device and a method for generating clinical pathways. The device for generating the clinical pathways comprises a setting unit, an acquiring unit, a selecting unit and a clinical path generating unit; the setting unit is used for setting a plurality of nodes of clinical pathways corresponding to specified diseases; the acquiring unit is used for respectively acquiring diagnosis and treatment activities carried out on each patient for each node, and the various patients in the various nodes suffer from the specified diseases and are cured; the selecting unit is used for selecting the diagnosis and treatment activities with certain occurrence numbers from the various diagnosis and treatment activities of each node, and the occurrence numbers of the selected diagnosis and treatment activities reach a preset number; the clinical pathway generating unit is used for generating standard clinical pathways according each node and the diagnosis and treatment activities of the node. According to the technical scheme, the device and the method have the advantages that the standard clinical pathways can be automatically analyzed and generated according to the diagnosis and treatment activities in the clinical pathways of the multiple cured patients, so that doctors do not need to spend large quantities of time and energy on making the clinical pathways for the specified diseases, and the clinical pathway generating efficiency can be improved.

The invention discloses a clinical path setting method and device. The method includes the steps that an electronic medical record is preprocessed so that clinical path data can be obtained; the clinical path data serves as an input sample and an expected output sample to train a BP neural network so that a BP neural network model can be established; a clinical path database is established according to the clinical path data serving as the expected output sample in the BP neural network model; a clinical path of a preset disease is analyzed according to the BP neural network model and the clinical path database. According to the technical scheme, the BP neural network model and the clinical path database are established, finally the clinical path of the preset disease is obtained according to the established BP neural network model and the clinical path database, corresponding clinical path data can be obtained when medical staff input a certain disease in the BP neural network model, the workload of medical staff is lowered, and work efficiency of clinical path setting is improved.

A method and system to facilitate the collaborative development and discovery of evidence-based, clinical pathways. Clinicians, medical professionals or researchers, may use the Platform to build and find clinical pathways through a graphical interface, creating relational data records between steps in pathways. Further, users of the Platform may be able to associate relevant content such as published evidence, supplemental content items (e.g., videos, images, documents, ICD-11, CPT, SNOMED Clinical Terms, and external web pages), and other associated pathways which reside in the system's database. Users of the Platform may be able organize themselves into groups and networks to develop single pathways collaboratively. Users may be able to find specific pathways in the Platform through semantic search, querying for relationships which exist inside of individual pathways. Search results may be generated for a variety of user driven data, both explicit and implicit.

The invention provides a clinical pathway mining method based on a body and a topic model. A clinical pathway conforming to the reality of a hospital is finally obtained according to given real charging data of the hospital and through five-stage processing containing data preprocessing, semantic approximate processing, topic clustering, topic sequence processing and clinical pathway mining. By using the clinical pathway mining method based on the body and the topic model, the clinical pathway of disease diagnosis and treatment, which conforms to the real situation of the hospital, can be obtained by starting from the real charging data of the hospital and through a series of data processing, so as to assist in making the clinical pathway conforming to the reality of the hospital; compared with manual making, the method is higher in efficiency and is moreover more objective and comprehensive.

The present invention relates to a system to control and optimize clinical pathways of a plurality of patients within a medical facility as well as across several medical facilities. The method of controlling and optimizing pathways uses real-time localization devices for patients, resources, such as clinical images and employees of the medical facility (e.g. a service technician, a senior consultant or the like). Based on the local position of patients, staff members and/or resources, the system proposes a medical system that generates clinical pathways for patients, is adapted to change clinical pathways and to provide schedules for patients as well as the use of resources.

The invention provides further means of real-time information of patients about changes in their schedule. The method provided enables a medical facility to streamline their processes and to increase patient throughput.

The invention provides a clinical pathway management-evaluation index system and method. A clinical pathway management-evaluation method capable of being implemented by the system is developed and comprises one or more servers, a data dictionary, one or more operation clients and one or more clinical pathway management data acquisition terminals. The management evaluation index system comprises a pathway implement base module, a development and design module, an implement and control module and an effect evaluation and feedback module. The clinical pathway management evaluation index system is used for managing the information of the obtained reliable clinical pathway process, controlling the use quality of clinical pathways and improving the scientificity and effectiveness of the use in the clinical pathways.

An analysis apparatus comprises: a generation module configured to generate a second piece of input data having a weight for a first feature item of a patient based on: a first piece of input data relating to the first feature item; a second feature item relating to a transition to a prediction target in a clinical pathway relating to a process for diagnosis or treatment; and a clinical terminology indicating relevance between medical terms; a neural network configured to output, when being supplied with the first piece of input data and the second piece of input data generated, a prediction result for the prediction target in the clinical pathway and importance of the first feature item; an edit module configured to edit the clinical pathway based on the prediction result and the importance output from the neural network; and an output module configured to output an edit result.

The invention relates to big data, and provides an abnormal case identification method based on artificial intelligence which is applied to a platform server. The method comprises the steps: acquiringdiagnosis and treatment project data corresponding to the same disease, taking diagnosis and treatment time as a unit, and taking the diagnosis and treatment project data as words in a text to conduct text construction, wherein the constructed text comprises the diagnosis and treatment project data of different users of the same disease in the corresponding diagnosis and treatment time period; performing topic model construction on the text to obtain corresponding topic vector distribution, wherein each topic vector distribution is corresponding to one topic and comprises a plurality of wordidentifiers and corresponding word weights, and the topics have different user topic weights for different users; aligning the topic vector distribution corresponding to each text and performing clustering to obtain diagnosis and treatment item categories corresponding to each user at different time to form a diagnosis and treatment sequence corresponding to the user; and inputting the diagnosis and treatment sequence corresponding to each user at different diagnosis and treatment time into the process mining model to obtain a standard clinical path corresponding to the disease type so as to identify the abnormal case.

The invention provides a medical record text similarity retrieval method and system and computer equipment. The medical record text similarity retrieval method comprises the steps of receiving text information; performing word segmentation processing on the text information to generate words; training the words into long text vectors; acquiring medical record information similar to the text information from a database according to the long text vectors. According to the medical record text similarity retrieval method, expert participation is not needed, medical knowledge is automatically minedand learned from the database through a medical artificial intelligence method, a similar medical record comparison model is constructed, the model can integrate comparison results of various types of free texts, similar medical record recommendations can be efficiently and accurately obtained, and the medical record text similarity retrieval method is suitable for popularization and application.A result is highly consistent with a result obtained by manual comparison of a doctor, a clinical path reference result with a practical value can be provided for the doctor, and the problem that thedoctor consumes a large amount of time to consult historical previous medical records is effectively solved.

The invention relates to big data, and provides a clinical pathway construction method and device, equipment and a storage medium, which are applied to a platform server. The method comprises the following steps: acquiring diagnosis and treatment item data of the same disease type corresponding to the same identifier, and forming a diagnosis and treatment sequence corresponding to each user according to the diagnosis and treatment time of each diagnosis and treatment item, determining an association relationship between any two diagnosis and treatment items according to the diagnosis and treatment sequence of each diagnosis and treatment item in the diagnosis and treatment sequence, constructing an initial clinical path according to the association relationship between the diagnosis and treatment items, and taking each diagnosis and treatment item as each node in the initial clinical path, determining a position connection symbol among the nodes according to the corresponding association relationship, and connecting the nodes, each node comprising node information, the node information comprising a global node weight and an adjacent node weight; and performing optimization operation on the initial clinical path according to the node information to obtain a target clinical path corresponding to each disease type, thereby saving computer resources for constructing the clinical path.

The present invention discloses a medical insurance data-based clinical pathway analysis method. The method comprises a medical insurance data cleaning step and a medical insurance data analyzing step. During the medical insurance data cleaning step, invalid hospitalization data and invalid prescription detail data are removed. Meanwhile, data are clustered based on identical disease entity numbers and identical hospital level numbers, so that a plurality of analysis units are established. During the medical insurance data analyzing step, medical insurance analysis items in the analysis unitsare subjected to empirical range analysis. The empirical range analysis is in the form of grouped empirical range analysis or non-grouped empirical range analysis, wherein the sample most aggregated distribution range of medical insurance analysis items is calculated. When the frequency sum of the most aggregated distribution range is larger than a preset frequency, the empirical range of the medical insurance analysis items is obtained. According to the invention, medical insurance data are cleaned and analyzed, and then the clinical pathway analysis is conducted based on medical insurance big data. The accuracy and the scientificity of the clinical pathway analysis are improved.

Wherein, to overcome the defects in prior art, it just records one time for patient when coming and leaving within minutes, and can also takes real-time statistic to clinic path and research data that relates the patient diagnosis, basic information, visiting condition, etc.

The present invention discloses an implementation method for variability of diagnosis and treatment process, to mainly solve the problem that the existing medical process implementation method has limited coverage, and is difficult to extend and maintain, and lacks of standard specification. The method is based on workflow technology and includes: expressing a clinical pathway diagnosis and treatment process as a clinical pathway workflow model that can be identified by a computer according to the scheduling complexity and time control of the clinical pathway diagnosis and treatment process; scheduling and controlling the execution of the diagnosis and treatment process according to the clinical pathway workflow model; and establishing or updating the clinical pathway workflow model to realize the variability of the diagnosis and treatment process when the clinical pathway diagnosis and treatment process needs to expand or change. The implementation method can provide an extensible, updatable and standard diagnosis and treatment process for the medical personnel, and can also used to support the expansion, update and management of the diagnosis and treatment process of the medical decision support system.

The invention discloses a method and system for displaying clinical pathway integrated data transmission. A clinical pathway integrated data hub, an outpatient service/sick room node, a normal search display node, an advanced manual querying/displaying/modifying node provided by the invention can be used for solving the problems of the outpatient service/sick room node, such as (1) nonobservance of medical behavior time limit, (2) no control on the use of expensive medicines, (3) usage of medical consumable over the rule, (4) irrational change and the like. A system for displaying the clinical pathway integrated data transmission in organic combination of real-time monitoring and pre-warning feedback is constructed by the invention, an automatic detection module and a general search display node are used for providing data information support so as to solve the defects, thus the implementation of the clinical pathway is perfected.

A medical system large data stand-alone integration method and apparatus are provide, integrating data interfaces of medical big data between multiple different systems on a stand-alone basis, Changing medical big data problems such as data inconsistencies from different systems, to realize single disease accounting for hospital, Clinical pathway management provides effective data integration, reduces manual statistical workload and errors, and realizes integrated management of hospital and department data. When the data increase greatly, it enhances the system scalability, flexibility and stability requirements of business data after the integration of HIS, PACS, LIS, CDSS and other systems.

The invention relates to the technical field of digital medical treatment, and discloses a clinical path mining method and device, equipment and a storage medium, and the method comprises the steps: obtaining to-be-analyzed clinical data of a target disease, the to-be-analyzed clinical data being clinical data obtained according to the historical clinical data of a plurality of patients corresponding to the target disease; carrying out matrix construction on the clinical data to be analyzed to obtain a clinical data matrix to be analyzed; clustering patient behaviors of the clinical data matrix to be analyzed according to charging items to obtain a patient behavior set corresponding to the clinical data to be analyzed; carrying out patient behavior matching and replacement on the charging items of the to-be-analyzed clinical data by adopting the patient behavior set to obtain a clinical patient behavior sequence corresponding to the to-be-analyzed clinical data; and performing time sequence frequent set mining according to the clinical patient behavior sequence to obtain a plurality of target clinical paths corresponding to the target disease. Therefore, the flexibility and interpretability of the clinical path obtained by mining are improved.

The inventors have recognized that precise synchronization of remote data coupled with local compression and verification technologies enables healthcare providers to employ a device with locally stored patient information and clinical pathways for providing improved healthcare services in dynamic and remote environments. Patient information may be mapped to code sets and reported to patients and/or exchanged with health care organizations accordingly. In addition, patient information may be aggregated with other patient information to provide further improved localized results. Accordingly, more efficient, consistent and reliable healthcare services may be provided to patients in dynamic and remote environments.