Blood transfusion intelligent decision-making system, device and method

Abstract

The present invention relates to a blood transfusion intelligent decision-making system and method, which comprises a doctor user port, a system server and an external port set up in a hospital; its architecture comprises a data layer, an interaction layer, an application layer and peripheral system applications; in the data layer, a hospital information HIS system records patient information and diagnosis information; a laboratory / testing department information LIS system records blood type / indication detection information; a medical record EMR system records blood transfusion medical record information; a hospital blood transfusion TMIS system records patient historical blood transfusion information; a diagnosis and treatment IDT system records blood transfusion intelligent decision-making information; intelligent decision-making: based on patient information, a blood transfusion treatment plan recommendation is obtained through national blood transfusion specifications, blood transfusion standards and clinical disease type analysis; the present invention has reasonable design, compact structure and is easy to use.

Description

Technical Field

[0001] The present invention relates to a blood transfusion intelligent decision-making system, device and method. The present invention is deployed individually with hospitals as units to achieve medical record retrieval and blood transfusion decision-making for a single hospital; it is also deployed as a whole with regions (prefectures, cities) as units to achieve the collection of medical record retrieval of all hospitals in the jurisdiction, form a shared comprehensive blood transfusion performance library, apply it to all hospitals in the jurisdiction, and achieve blood transfusion decision-making in the entire region. Background Art

[0002] Reasonable use of blood has always been the focus of clinical blood transfusion. If clinical blood use is not standardized, blood waste will occur. At present, the control of blood application in the system is not strict, and it only controls the process steps. Most doctors still rely on their own experience and knowledge to make judgments. If blood use is standardized from the clinical application, the blood use level of clinical doctors is improved, and saving blood from the source can improve most of the blood waste sites.

[0003] With the gradual maturity of big data technology in recent years, how to solve these clinical problems through big data analysis and processing methods such as data mining and machine learning, maximize the use of limited blood resources, and better serve the clinic has become a technical problem that needs to be solved urgently and has very important clinical value and social significance.

[0004] Blood transfusion can save lives, but it can also cause serious harm to patients, possibly causing adverse reactions or even endangering their lives. When giving blood transfusions, we should master the principles of blood transfusion and strictly control the scope of blood transfusion treatment. If blood transfusions can be avoided, we should not give them. If blood transfusions can be reduced, we should not give more.

[0005] On the other hand, blood shortage has become the norm in major medical institutions. The storage validity period of blood is short, and during the storage period, the amount of unpaid blood donations is unknown and the amount of blood used in clinical practice is difficult to predict. Therefore, it is urgent to adopt new technologies to help solve this contradiction. For example, by predicting the amount of blood used by a single case and the amount of blood used by the hospital, blood can be monitored throughout the process to ensure that clinicians have a grasp of the blood inventory. The inventory can be planned more reasonably to achieve full process management from blood collection, storage to use from blood donors.

[0006] Furthermore, since existing blood transfusion requires reasonable control of limited blood to avoid unreasonable use, it is particularly important to reasonably package and recycle blood for temporary storage. The present invention reduces human intervention and achieves pretreatment of blood to ensure that the blood is not contaminated and can be temporarily stored for next use. Summary of the invention

[0007] The technical problem to be solved by the present invention is generally to provide an intelligent decision-making system and method for blood transfusion. The solution of the present invention is to use the electronic medical record data of the hospital as the retrieval object, formulate a retrieval algorithm, and use the big data analysis method to accurately retrieve the electronic medical record data to form a blood transfusion clinical manifestation library. According to the basic information of the patient's hospitalization, current indications and the blood transfusion clinical manifestation library, the clinician is guided whether the patient should receive a blood transfusion, what type of blood should be transfused, and how much blood should be transfused, so as to realize simple blood transfusion and intelligent blood transfusion.

[0008] To solve the above problems, the technical solution adopted by the present invention is:

[0009] A blood transfusion intelligent decision-making system includes a doctor user port, a system server and an external port set up in a hospital; its architecture includes a data layer, an interaction layer, an application layer and peripheral system applications;

[0010] In the data layer, the hospital information HIS system records patient information and diagnosis information; the laboratory / testing department information LIS system records blood type / indication test information; the medical record EMR system records transfusion medical record information; the hospital transfusion TMIS system records patient historical transfusion information; the diagnosis and treatment IDT system records transfusion intelligent decision information; Intelligent decision-making: based on patient information, through national transfusion norms, transfusion standards and clinical disease analysis, blood transfusion treatment plan recommendations are obtained;

[0011] The interaction layer enables data interaction and business logic processing and calculation between the data layer and the application layer;

[0012] Screening and calculation are performed based on the patient information and diagnosis information provided by the HIS system, the patient indications provided by the LIS system, the clinical symptoms provided by the EMR, the patient's historical transfusion information, and the transfusion intelligent decision-making information of the IDT system;

[0013] The application layer formulates a blood transfusion treatment plan by screening and calculating the data and business information transmitted by the interaction layer. The blood transfusion treatment plan includes an autologous blood transfusion treatment plan and an allogeneic blood transfusion treatment plan, which serves as a reference for blood application;

[0014] Peripheral system application, submit clinical blood application to the blood bank based on blood application reference;

[0015] At the application layer, the patient's personal information, clinical information, and indication information are extracted through the interface or manually input into the doctor's user port; the interaction layer retrieves the information from the data layer for calculation and analysis, and recommends a blood transfusion treatment plan for the patient to the doctor's user port; the doctor then decides whether to activate the plan;

[0016] The application layer also includes electronic medical record retrieval system, blood transfusion decision system and third-party embedded function pages; among them,

[0017] The electronic medical record retrieval system performs structured table analysis on EMR system data, performs regular retrieval, and annotates the retrieval results to form a blood transfusion performance database. The diagnosis and treatment IDT system analyzes the hospital's electronic medical records based on an intelligent decision-making algorithm, systematically annotates the output results, and generates a blood transfusion performance database dictionary.

[0018] The keyword extraction logic of the electronic medical record retrieval system first determines the keyword search in the electronic medical record text through the inclusion relationship; then, after determining the keyword, judge the keyword to the previous punctuation mark (except the semicolon) to determine whether there is a negative word [no, no, no, not, not seen, not heard, not heard]; when there is a negative word, it is judged that the keywords in the interval between the negative word and the first punctuation mark (except the semicolon) after that do not participate in the decision analysis; when there is no negative word, the keyword is used to participate in the decision; in the recommendation process, you can add content that does not participate in the decision to show keywords with negative meanings; among them, the punctuation content other than the semicolon is judged: period, comma, semicolon, question mark, colon, exclamation mark, colon.

[0019] As a further improvement of the above technical solution:

[0020] They are Chinese and English symbols respectively.

[0021] A blood transfusion intelligent decision-making system method, based on a blood transfusion intelligent decision-making system; specific usage method;

[0022] Step 1: Obtain patient information and vital signs through the HIS system, obtain indicator data through the LIS system, and provide reference for doctors to use blood rationally based on the adverse reaction records and historical blood use records;

[0023] Step 2: After uploading the information of step 1 to the big data platform, the big data platform generates historical blood use information for each disease; generates blood use analysis for each disease based on the historical blood use information for each disease; in addition, collects the patient information and index information of the information of step 1, and generates expected indications or signs through transfusion indications and transfusion indications; among which, the expected signs in the blood volume calculation formula are: (blood volume × body weight (target indication HB - patient indication HB)); body mass index calculation formula: body mass index (BMI) = body weight (kg) ÷ height^2 (m);

[0024] Step three: perform intelligent calculations to obtain autologous or allogeneic blood transfusion treatment plans, and provide doctors with the amount, type, volume and blood collection plan of transfused blood.

[0025] A blood transfusion intelligent decision-making device, comprising:

[0026] The conveyor belt is connected to the hospital's blood bank at one end and to the nurse station at the other end. A manipulator is installed in the blood bank to deliver the required blood bags to the nurse station through the conveyor belt. The nurse station delivers blood bags to patients through infusion tubes according to the patient's needs.

[0027] Conveyor belt shift plates are transversely distributed on the conveyor belt, and the intervals between them are larger than the width of the blood bag, so that the blood bag can be placed between adjacent conveyor belt shift plates;

[0028] The lower support roller is parallelly distributed below the conveyor belt along the conveyor belt direction, and a gap for passing the conveyor belt shift plate and the blood bag is provided between the upper surface of the lower support roller and the lower surface of the conveyor belt; the conveyor belt shift plate lifts the blood bag with the remaining blood on the lower support roller, and the blood bag with the remaining blood is located between adjacent conveyor belt shift plates, and the conveyor belt shift plate transports the blood bag with the remaining blood on the lower support roller;

[0029] The connecting rotating roller is arranged below the conveying conveyor belts which are connected at the head and tail ends, and moves the blood bag containing the remaining blood forward;

[0030] The temporary storage output belt, whose input end is connected with the output end of the lower support roller, is used to receive the conveyor belt of the blood bag with the remaining blood sent out by the conveyor belt shifter. A sterilizer for sterilizing the blood bag with the remaining blood, a labeling machine for marking the surface of the blood bag with the remaining blood, and a sealing device for secondary sealing of the blood bag are sequentially arranged on the temporary storage output belt; the sealing device includes a sealing clamping manipulator and a sealing thermoforming machine; the sealing clamping manipulator aligns the outer plastic sleeve of the blood bag; and the sealing thermoforming machine seals the outer plastic sleeve after aligning;

[0031] The output station is located at the output end of the upward section of the conveyor belt and inside the nurse station; an output rear push rod and an output front platform are respectively arranged on both sides of the output station, so that the output rear push rod can horizontally send the blood bag to the output front platform to wait for the nurse to take it;

[0032] The placing station is located at the input end of the downward section of the conveying conveyor belt and in the nurse station; a placing platform is provided on one side of the input end of the downward section of the conveying conveyor belt so that the nurse can place the blood bag containing the remaining blood; a placing push rod is provided on one side of the placing platform so as to push the blood bag to the input end of the lower support roller;

[0033] The blood bag is provided with a bag cover for inserting a needle for outputting blood. An outer plastic sleeve is sheathed on the outside of the bag cover at the root thereof and sealedly connected to the outer surface of the blood bag. The outer plastic sleeve is longer than the bag cover. Before the blood bag is used, a one-time sealing port is provided at the port of the outer plastic sleeve. When the blood bag is used, the one-time sealing port is removed so that the needle can be inserted into the bag cover. When the blood bag stores residual blood and needs to be temporarily sealed, the outer plastic sleeve is sealed.

[0034] A blood transfusion intelligent decision-making supporting method, with the aid of a blood transfusion intelligent decision-making supporting device, comprises the following steps;

[0035] Step 1: First, the blood bank sends the temporary freezer or new blood bags to the conveyor belt manually or by a robot according to the blood demand; then, the conveyor belt sends the blood bags to the nurse station; secondly, the push rod after delivery sends the blood bags horizontally to the platform before delivery to wait for the nurse to take them; the nurse takes the blood bags, and when the blood bags need to be used up at one time, they are directly transfused to the patients; when the blood bags cannot be used up at one time, go to step 2;

[0036] Step 2, first, hang the blood bag on the top hook of the top shelf, measure the weight through the gravity sensor and convert it into volume; then, hang the sub-packaging liquid bag on the middle hook of the middle shelf, measure the weight through the gravity sensor and convert it into volume; secondly, open the primary sealing port, connect the main distribution blood vessel to the upper end of the sub-packaging liquid bag through the blood distribution branch pipe, insert the needle of the main distribution blood vessel input tube into the bag cover through the outer plastic sleeve, and adjust the flow rate through the blood blocking clamp; when the blood bag is used to replace a new blood bag; when the sub-packaging liquid bag is filled to the set threshold, close the blood blocking clamp, and the sub-packaging liquid bag is used for patient infusion; when the sub-packaging is completed, there is residual blood in the blood bag, remove the blood bag and place it on the placement platform, insert the push rod to push the blood bag to the input end of the lower support roller;

[0037] Step 3: The conveyor belt shifter shifts the blood bag forward on the lower support roller, and through the connecting rotating roller, the blood bag is moved forward under the joint between the head and tail of the conveyor belt until it is placed on the temporary storage output belt;

[0038] Step 4: On the temporary storage output belt, first, the blood bag is sterilized by the sterilizer; then, the labeling machine prints a smart label on the surface of the blood bag; secondly, the sealing clamping manipulator clamps the outer plastic sleeve exposed on the bag cover, and at the same time, the sealing thermoforming machine heats the outer plastic sleeve to achieve secondary sealing to prevent the bag cover from being exposed;

[0039] Step 5: First, the temporary storage push rod pushes the blood bag away from the temporary storage output belt; then, the freezer manipulator stores the blood bag output from the temporary storage output belt into the matrix drawer of the temporary storage freezer for next use. Blood transfusion decision-making: Clinicians select the patient's basic information and clinical symptoms to obtain the blood transfusion treatment plan recommended by the system; this solves the technical problem that clinicians do not have enough knowledge of the relevant regulations and knowledge of blood transfusion treatment plans and do not know how to apply for blood.

[0040] The invention has reasonable design, low cost, durability, safety and reliability, simple operation, time and labor saving, money saving, compact structure and convenient use. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a schematic diagram of the process of the present invention.

[0042] Figure 2 It is a schematic diagram of the hedging algorithm of the present invention.

[0043] Figure 3 It is a schematic diagram of the overall process of the present invention.

[0044] Figure 4 It is a schematic diagram of the use of the system process of the present invention.

[0045] Figure 5 It is a schematic diagram of the search of the present invention.

[0046] Figure 6 It is a schematic diagram of the structure of the hardware of the present invention.

[0047] Figure 7 It is a schematic diagram of the structure of the blood bag of the present invention.

[0048] Figure 8 It is a schematic structural diagram of the subpackaging of the present invention.

[0049] Among them: 1. Conveyor belt; 2. Conveyor belt plate; 3. Output rear push rod; 4. Output front platform; 5. Blood bag; 6. Placement platform; 7. Placement push rod; 8. Lower support roller; 9. Connecting rotating roller; 10. Temporary storage output belt; 11. Sterilizer; 12. Labeling machine; 13. Sealing clamping manipulator; 14. Sealing thermoplastic machine; 15. Temporary storage push rod; 16. Temporary storage freezer; 17. Bag cover; 18. Outer plastic sleeve; 19. One-time sealing port; 20. Support frame; 21. Top frame; 22. Top hook; 23. Middle frame; 24. Gravity sensor; 25. Middle hook; 26. Dispensing liquid bag; 27. One-way valve; 28. Blood distribution branch tube; 29. ​​Blood blocking clamp; 30. Blood distribution tray; 31. Total blood distribution tube. DETAILED DESCRIPTION

[0050] like Figure 1-8 .like Figure 1 As shown, the blood transfusion intelligent decision-making supporting device of this embodiment includes a conveyor belt 1, one end of which is connected to the blood bank of the hospital, and the other end is connected to the nurse station; a manipulator is provided in the blood bank to deliver the required blood bags 5 to the nurse station through the conveyor belt 1; the nurse station delivers the blood bags 5 to the patient through the infusion tube according to the patient's needs;

[0051] The conveyor belt shift plates 2 are laterally distributed on the conveyor belt 1, and the intervals between them are larger than the width of the blood bag 5, so that the blood bag 5 can be placed between the adjacent conveyor belt shift plates 2;

[0052] The lower support roller 8 is parallelly distributed below the conveyor belt 1 along the direction of the conveyor belt 1, and a gap for passing the conveyor belt paddle 2 and the blood bag 5 is provided between the upper surface of the lower support roller 8 and the lower surface of the conveyor belt 1; the conveyor belt paddle 2 lifts the blood bag 5 with the remaining blood on the lower support roller 8, and the blood bag 5 with the remaining blood is located between adjacent conveyor belt paddles 2, and the conveyor belt paddles 2 transport the blood bag 5 with the remaining blood on the lower support roller 8;

[0053] The connecting rotating roller 9 is arranged below the conveying conveyor belt 1 which is connected at the head and tail to move the blood bag 5 containing the remaining blood forward;

[0054] The temporary storage output belt 10, whose input end is connected with the output end of the lower support roller 8, is used to receive the conveyor belt 1 for conveying the blood bag 5 with the remaining blood sent out by the conveyor belt paddle 2. A sterilizer 11 for sterilizing the blood bag 5 with the remaining blood, a labeling machine 12 for marking the surface of the blood bag 5 with the remaining blood, and a sealing device for secondary sealing of the blood bag 5 are sequentially arranged on the temporary storage output belt 10; the sealing device includes a sealing clamping manipulator 13 and a sealing thermoforming machine 14; the sealing clamping manipulator 13 aligns the outer plastic sleeve 18 of the blood bag 5; the sealing thermoforming machine 14 seals the outer plastic sleeve 18 after aligning;

[0055] The output station is located at the output end of the upstream section of the conveyor belt 1 and in the nurse station; an output rear push rod 3 and an output front platform 4 are respectively arranged on both sides of the output station, so that the output rear push rod 3 can horizontally deliver the blood bag 5 to the output front platform 4 to wait for the nurse to take it;

[0056] The placing station is located at the input end of the downward section of the conveyor belt 1 and in the nurse station; a placing platform 6 is provided on one side of the input end of the downward section of the conveyor belt 1 so that the nurse can place the blood bag 5 containing the remaining blood; a placing push rod 7 is provided on one side of the placing platform 6 so as to push the blood bag 5 to the input end of the lower support roller 8; the blood bag 5 is provided with a bag cover 17 for inserting a needle for outputting blood, and an outer plastic sleeve 18 is sleeved on the outside of the bag cover 17 at the root thereof and sealed with the outer surface of the blood bag 5, and the outer plastic sleeve 18 is longer than the bag cover 17. Before the blood bag 5 is not used, a one-time sealing port 19 is provided at the end of the outer plastic sleeve 18. When in use, the one-time sealing port 19 is removed so that the needle can be inserted into the bag cover 17; when the blood bag 5 stores the remaining blood and needs to be temporarily sealed, the outer plastic sleeve 18 is sealed

[0057] 9. According to the blood transfusion intelligent decision-making supporting device of claim 8, a medicine liquid conveyor belt connected to the pharmacy is also transmitted on the conveyor belt 1; the pharmacy transmits the medicine liquid to the conveyor belt 1 through the medicine liquid conveyor belt, and then sends it to the corresponding nurse station through the conveyor belt 1.

[0058] It is arranged at one side of the output end of the temporary storage output belt 10 and is used to push the blood bag 5 away from the temporary storage output belt 10;

[0059] The temporary storage freezer 16 has a freezer manipulator for storing / retrieving blood bags 5 on one side; the freezer manipulator stores the blood bags 5 output from the temporary storage output belt 10 into the matrix drawer of the temporary storage freezer 16, and delivers the blood bags 5 in the matrix drawer to the conveyor belt 1;

[0060] The support frame 20 is provided at the nurse station and is divided into two layers: a top frame 21 and a middle frame 23; a top hook 22 for hanging the blood bag 5 for subpackaging upside down is provided on the top frame 21;

[0061] A middle hook 25 connected by a gravity sensor 24 is provided on the middle frame 23, and a filling liquid bag 26 for quantitative blood transfusion to patients is hung on the middle hook 25. A bag opening and / or a one-way valve 27 are provided on the filling liquid bag 26. A blood branch pipe 28 for inputting the filled blood is connected to the upper end of the filling liquid bag 26, and a blood blocking clamp 29 is provided on the blood branch pipe 28 to adjust the flow rate and / or start and stop of the blood supplied; a blood distribution tray 30 connected to the inlet of several blood branch pipes 28 is provided on the middle frame 23, and the upper end of the blood distribution tray 30 is connected to the bag cover 17 of the blood bag 5 through a main distribution tube 31.

[0062] The blood transfusion intelligent decision-making supporting method of this embodiment, with the aid of the blood transfusion intelligent decision-making supporting device, includes the following steps:

[0063] Step 1: First, the blood bank sends the temporary storage freezer 16 or the new blood bag 5 to the conveyor belt 1 manually or by a robot according to the blood demand; then, the conveyor belt 1 sends the blood bag 5 to the nurse station; secondly, the output rear push rod 3 sends the blood bag 5 horizontally to the output front platform 4 to wait for the nurse to take it; the nurse takes the blood bag 5, and when the blood bag 5 needs to be used up at one time, it is directly transfused to the patient; when the blood bag 5 cannot be used up at one time, execute step 2;

[0064] Step 2, first, hang the blood bag 5 on the top hook 22 of the top frame 21, measure the weight through the gravity sensor and convert it into volume; then, hang the sub-filling liquid bag 26 on the middle hook 25 of the middle frame 23, and measure the weight through the gravity sensor 24 and convert it into volume; secondly, open the primary packaging port 19, connect the main distribution blood vessel 31 to the upper end of the sub-filling liquid bag 26 through the blood branch pipe 28, insert the needle of the input tube of the main distribution blood vessel 31 into the bag cover 17 through the outer plastic sleeve 18, and adjust the flow rate through the blood blocking clamp 29; when the blood bag 5 is used to replace a new blood bag 5; when the sub-filling liquid bag 26 is filled to the set threshold, close the blood blocking clamp 29, and the sub-filling liquid bag 26 is used for patient infusion; when the sub-filling is completed, there is residual blood in the blood bag 5, remove the blood bag 5 and place it on the placement platform 6, insert the push rod 7 to push the blood bag 5 to the input end of the lower support roller 8;

[0065] Step 3: The conveyor belt shifter 2 shifts the blood bag 5 forward on the lower support roller 8, and through the connecting rotating roller 9, the blood bag 5 is moved forward below the joint of the head and tail of the conveyor belt 1 until it is on the temporary storage output belt 10; Step 4: On the temporary storage output belt 10, first, it is sterilized by the sterilizer 11; then, the labeling machine 12 puts a smart label on the surface of the blood bag 5; secondly, the sealing clamping manipulator 13 clamps the outer plastic sleeve 18 exposed to the bag cover 17, and at the same time, the sealing thermoplastic machine 14 heats the outer plastic sleeve 18 to achieve secondary sealing to prevent the bag cover 17 from being exposed;

[0066] Step 5, first, the temporary storage push rod 15 pushes the blood bag 5 away from the temporary storage output belt 10; then, the freezer manipulator stores the blood bag 5 output from the temporary storage output belt 10 into the matrix drawer of the temporary storage freezer 16 for next use. The conveying conveyor belt 1 realizes long-distance transmission, the conveyor belt paddle 2 realizes the utilization of the downward section of the conveyor belt, avoids empty travel, greatly saves the limited space of the hospital, and is convenient for transformation. The output rear push rod 3 and the output front platform 4 realize the output of the blood bag 5, the platform 6 is placed, and the push rod 7 is placed to realize the input of the blood bag. The lower support roller 8 realizes auxiliary lifting, and the connecting rotating roller 9 ensures the continuity of transmission and saves power. The temporary storage output belt 10 realizes the connection of the workstation, and the sterilizer 11, the labeling machine 12, the sealing clamping manipulator 13, and the sealing thermoplastic machine 14 realize the secondary processing of the blood bag, which is safe and hygienic, and saves precious blood resources. The temporary storage push rod 15 and the temporary storage freezer 16 realize temporary storage. The bag cover 17 is elastic and the blood coagulates at low temperature, thus preventing blood from leaking out. Of course, the total blood distribution tube 31 can be retained without removing its needle, and the tube can be thermoformed together with the outer plastic sleeve 18 in a thermoplastic state, so as to have better sealing performance. The one-time packaging port 19 is disposable, convenient and hygienic. The support frame 20, the top frame 21, the top hook 22, and the middle frame 23 realize blood subpackaging. The gravity sensor 24 realizes gravity detection to avoid long-term observation by nurses. When the gravity is lower than the set threshold (converted to volume), the nurse is reminded to close it in time through an alarm or voice. The middle hook 25 realizes hanging. The subpackaging liquid bag 26 transfuses blood to the patient. The one-way valve 27 is auxiliary. The blood distribution branch pipe 28 realizes multiple subpackaging on one side. The blood blocking clamp 29 is a spring clamp. The blood distribution tray 30 realizes buffering and distribution. The present invention solves the existing blood recovery problem, realizes quantitative blood transfusion, and avoids waste.

[0067] As a parallel solution, Figure 1-8 The present invention includes a doctor user port, a system server and an external port set up in a hospital; its architecture includes a data layer, an interaction layer, an application layer and peripheral system applications;

[0068] In the data layer, the hospital information HIS system records patient information and diagnosis information; the laboratory / testing department information LIS system records blood type / indication test information; the medical record EMR system records transfusion medical record information; the hospital transfusion TMIS system records patient historical transfusion information; the diagnosis and treatment IDT system records transfusion intelligent decision information; Intelligent decision-making: based on patient information, through national transfusion norms, transfusion standards and clinical disease analysis, blood transfusion treatment plan recommendations are obtained;

[0069] The interaction layer enables data interaction and business logic processing and calculation between the data layer and the application layer;

[0070] Screening and calculation are performed based on the patient information and diagnosis information provided by the HIS system, the patient indications provided by the LIS system, the clinical symptoms provided by the EMR, the patient's historical transfusion information, and the transfusion intelligent decision-making information of the IDT system;

[0071] The application layer formulates a blood transfusion treatment plan by screening and calculating the data and business information transmitted by the interaction layer. The blood transfusion treatment plan includes an autologous blood transfusion treatment plan and an allogeneic blood transfusion treatment plan, which serves as a reference for blood application;

[0072] Peripheral system application, submit clinical blood application to the blood bank based on blood application reference;

[0073] At the application layer, the patient's personal information, clinical information, and indication information are extracted through the interface or manually entered into the doctor's user port; the interactive layer retrieves the data layer information for calculation and analysis, and then recommends a blood transfusion treatment plan for the patient to the doctor's user port; the doctor then decides whether to enable the plan; and during use, there will be corresponding reminders to assist the doctor in using it correctly.

[0074] The application layer includes electronic medical record retrieval system, blood transfusion decision system and third-party embedded function pages; among them,

[0075] The electronic medical record retrieval system performs structured table analysis on EMR system data, performs regular retrieval, and annotates the retrieval results to form a blood transfusion performance database. The diagnosis and treatment IDT system analyzes the hospital's electronic medical records based on an intelligent decision-making algorithm, systematically annotates the output results, and generates a blood transfusion performance database dictionary.

[0076] The keyword extraction logic of the electronic medical record retrieval system, first, determine the keyword retrieval in the electronic medical record text through the inclusion relationship; then, after determining the keyword, judge whether there is a negative word [no, no, no, no, not seen, not heard, not heard] from the keyword to the previous punctuation mark (except the comma); when there is a negative word, it is judged that the keywords in the interval between the negative word and the first punctuation mark (except the comma) after that do not participate in the decision analysis; when there is no negative word, the keyword is used to participate in the decision; in the recommendation process, you can add keywords that do not participate in the decision content and show negative meanings; among them, the punctuation mark content other than the comma is judged: period, comma, semicolon, question mark, colon, exclamation mark, colon. They are Chinese and English symbols respectively.

[0077] The intelligent decision-making algorithm adopts a hedging algorithm.

[0078] To perform hedging A, first, based on the patient's blood transfusion medical record A1, the pre-transfusion ward rounds performance A2 and discharge performance A3 are hedged to obtain the blood transfusion performance A4 information, and non-transfusion performance such as surgery is excluded; then, the indication improvement coefficient A7 is obtained based on the blood transfusion record performance A5 and the recorded post-transfusion evaluation A6;

[0079] Perform hedging B. First, perform hedging analysis B3 on the pre-transfusion ward round performance B11 based on the blood transfusion medical record B1 and the entire ward round performance B21 based on the non-blood transfusion medical record B2 to obtain the blood transfusion performance B4.

[0080] To perform hedging C, first, based on the pre-transfusion ward round performance C2 of the patient's transfusion medical record C1, the number of repetitions of each performance C3 is calculated and manually marked as Y / N;

[0081] Calculate the transfusion performance A4 information, indication improvement coefficient A7 and transfusion performance B4, the number of repetitions of each performance D1 and manually mark Y / N after screening the non-repetitive numbers;

[0082] The data after manual marking Y / N is counted into the system performance dictionary;

[0083] Scenario 1: Negative meaning judgment:

[0084] For example: Nervous system: no headache, dizziness, (secondary clinical manifestation keywords with negative meanings should not be captured)

[0085] The blood transfusion decision system retrieves the data from the diagnosis and treatment IDT system to provide blood transfusion decision guidance for patients. It integrates the basic information of patients, test indications, clinical manifestations, and the blood transfusion indications and blood transfusion performance database in the background to provide doctors with reasonable guidance on blood use.

[0086] The blood transfusion decision embedding page is used by third-party systems to embed into the blood transfusion decision system, so as to provide guidance for blood transfusion decisions and simplify the operation of doctors. After going from the HIS embedding page of the HIS system to the decision page, the patient information and LIS information are called, the obtained results are automatically saved, and a record is generated on the list page.

[0087] The clinician user port is installed on the PC used by the clinician. The blood transfusion decision system assigns each clinician a corresponding login number and password. According to the patient's information, the clinician enters the login number and the patient's diagnosis information, retrieves the patient's historical diagnosis information through the electronic medical record retrieval system, and issues a blood transfusion decision.

[0088] The transfusion doctor user port is installed on the PC used by the transfusion doctor. The transfusion decision system assigns each transfusion doctor a corresponding login number and password. After the transfusion doctor enters the login number, he or she enters the patient information, retrieves the patient's transfusion information through the electronic medical record retrieval system, and checks the transfusion decision process records and performs statistical analysis.

[0089] The data layer includes a knowledge base containing a basic dictionary, so that doctors can query blood transfusion treatment plans or situations where special terms are unknown through the doctor user port; the basic dictionary content includes blood type, blood variety, clinical diagnosis, primary clinical manifestations, secondary clinical manifestations, clinical manifestations and indications, special marks, special marks and clinical manifestations, blood loss, expected signs, age groups, blood volume, transfusion indications, cause dictionary and age units;

[0090] The blood transfusion decision system is used by clinicians to view the records of previous blood transfusion decisions. The actors are clinicians and transfusion doctors. It is a pre-deployment before the doctor actually makes a decision, and after the doctor actually makes a decision, it records the decision record generated by this decision;

[0091] The content of the blood transfusion decision system displays the decision type, blood volume, decision method, operation time, department and medical record number of several types of blood; delete the invalid decision results;

[0092] Blood transfusion decision analysis includes year-on-year analysis of the decision volume of the current month, analysis of the number of decisions made this month and the number of decisions made in the same month of the previous year; analysis of the decision and actual transfusion of the current month, the major categories of blood types include red blood cells, platelets, plasma, and cryoprecipitate, recording the blood volume determined by the blood type in the blood transfusion decision system and the blood volume actually transfused to the patient in the blood transfusion system; analysis of the proportion of blood transfusion decisions in the current month, including the comparison between the number of times of choosing not to transfuse and the number of times of choosing the system-decided transfusion, and the comparison between the number of times of doctor modification and system transfusion;

[0093] Rules for transfusion decision analysis,

[0094] Red blood cells: body weight (kg) × blood volume (target indication HB - patient indication HB) ÷ 25;

[0095] Platelets Children: (target positive platelet count – patient indicated platelet count) ÷ 17;

[0096] Platelet children: (target positive platelet count – patient indicated platelet count) ÷ 6;

[0097] Platelet infants and young children: (target indicated platelet count - patient indicated platelet count) ÷ 60 × body weight × 7 ÷ 200;

[0098] Plasma: body weight × 10;

[0099] Cryoprecipitate (adult): body weight ÷ 10 × 4;

[0100] Cryoprecipitate (infant) weight × 2;

[0101] Among them, the blood volume in the blood transfusion decision system is only integers and 0.5U. When it is greater than 0.5U, the value is 0.5U, and when it is less than 0.5, the value is integer; when the blood volume is less than 0.5U, it is defined as not recommended for transfusion; when the blood volume is not less than 0.5U and less than 2U, it is displayed to consider transfusion; when the blood volume is not less than 2U, it is displayed to recommend transfusion;

[0102] If the recommendation result has multiple blood categories under the red blood cell category: Blood category priority: washed red blood cells > suspended red blood cells;

[0103] The patient's basic information includes medical record number / outpatient number, name, gender, age, region, height (required), weight, blood type, department, bed number, ICD, and clinical diagnosis;

[0104] Patient indications included HB (g / l), hct, platelet count, DIC with fibrinogen level, INR, PT(s), APTT(s), neutrophil value, and blood pressure (mmHg);

[0105] The basic dictionary corresponding to the blood decision system is shown in the attached table:

[0106]

[0107]

[0108] Implementation Cases:

[0109]

[0110]

[0111] The interface of the blood transfusion decision system is connected with the HIS system, LIS system, electronic medical record system, and TMIS system. The blood types are matched with the standard codes in the TMIS system through the standard codes set in the blood type dictionary of the decision system. The blood type names in the TMIS are displayed when the decision results are transmitted to the TMIS system. When the embedded page user name and password need to be encrypted, the encryption interface is provided and called.

[0112] The basic information of patients connected to HIS includes name, gender, age, medical record number / outpatient number, maternity, place of jurisdiction, clinical diagnosis, clinical disease, weight, height, whether it is the first blood transfusion, number of blood transfusions, clinical manifestations, whether surgery, type of surgery, stage of surgery, date of birth, certificate type, certificate number, medical insurance category, transfusion reaction, type of treatment, department, ward, bed, whether long-term blood transfusion, number of days of operation, contact number, home address and allergy type;

[0113] The patient indication information connected to LIS includes ABO blood type, RH(D) blood type, HCT hematocrit, HB / HGB hemoglobin value, PLT platelet count, PT prothrombin time, APTT activated partial thromboplastin time, RBC red blood cell count, INR, DIC with fibrinogen level, body temperature, blood pressure, TEG thromboelastogram, WBC white blood cell count, GRA% neutrophil percentage, MID% intermediate cell percentage, LYN% lymphocyte percentage, GRA absolute neutrophil value, MID absolute intermediate cell value, LYM absolute lymphocyte value;

[0114] TMIS system interface, when transmitted to the decision-making system through TMIS, the information includes adverse reactions to blood transfusion, whether an organ transplant has been performed, special patient identification and post-transfusion evaluation; when transmitted to TMIS through the decision-making system, the information includes the blood type corresponding to TMIS through the standard code in the blood type of the decision-making system, the decision order number, the decision blood volume, the patient's medical record number, the type of consultation and the name of the operator;

[0115] The present invention enters the embedded page for allogeneic blood application through the blood transfusion decision login window, opens the embedded page in the HIS, and after entering, the applying physician is the operator transmitted by the decision system, and the blood type, applied blood volume, unit, applied blood type, and special identification are automatically assigned, and the default values ​​of other pages remain unchanged;

[0116] Conduct data analysis; including primary and secondary clinical manifestations,

[0117]

[0118]

[0119] It also includes primary and secondary clinical manifestations;

[0120] Weight value: the weight of the secondary clinical manifestations in the primary clinical manifestations. The sum of all secondary clinical manifestations is 100. If it is less than or more than 100, a prompt will be given: the sum of the weights must be 100; when the weight is 0, it means that it does not participate in the calculation of the transfusion result; Body mass index calculation formula: Body mass index (BMI) = weight (kg) ÷ height^2 (m);

[0121] Blood volume: Know your weight based on your body mass index and maintain your blood volume;

[0122] Expected signs in the blood volume calculation formula; (blood volume × body weight (target indication HB - patient indication HB)).

[0123] Specific methods of use of the present invention;

[0124] Step 1: Obtain patient information and vital signs through the HIS system, obtain indicator data through the LIS system, and provide reference for doctors to use blood rationally based on the adverse reaction records and historical blood use records;

[0125] Step 2: After uploading the information of step 1 to the big data platform, the big data platform generates historical blood use information for different diseases; generates blood use analysis for different diseases based on the historical blood use information for different diseases; in addition, collects the patient information and index information of the information of step 1, and generates expected indications or signs through blood transfusion indications and blood transfusion indications;

[0126] Step three: perform intelligent calculations to obtain autologous or allogeneic blood transfusion treatment plans, and provide doctors with the amount, type, volume and blood collection plan of transfused blood.

Claims

1. A blood transfusion intelligent decision-making system, characterized by: It includes the doctor user port, system server and external port set up in the hospital; the architecture of the blood transfusion intelligent decision-making system includes data layer, interaction layer, application layer and peripheral system application; In the data layer, the hospital information HIS system records patient information and diagnosis information; the laboratory or inspection department information LIS system records blood type or indication test information; the medical record EMR system records transfusion medical record information; the hospital blood transfusion TMIS system records patient historical transfusion information; the diagnosis and treatment IDT system records transfusion intelligent decision information; Intelligent decision-making: Based on patient information, blood transfusion treatment plans are recommended through national blood transfusion regulations, blood transfusion standards, and clinical disease analysis; The interaction layer enables data interaction and business logic processing and calculation between the data layer and the application layer; Screening and calculation are performed based on the patient information and diagnosis information provided by the HIS system, the patient indications provided by the LIS system, the clinical symptoms provided by the EMR, the patient's historical transfusion information, and the transfusion intelligent decision-making information of the IDT system; The application layer formulates a blood transfusion treatment plan by screening and calculating the data and business information transmitted by the interaction layer. The blood transfusion treatment plan includes an autologous blood transfusion treatment plan and an allogeneic blood transfusion treatment plan, which serves as a reference for blood application; Peripheral system application, submit clinical blood application to the blood bank based on blood application reference; At the application layer, the patient's personal information, clinical information, and indication information are extracted through the interface or manually input into the doctor's user port; After the interactive layer retrieves the information from the data layer for calculation and analysis, it recommends a blood transfusion treatment plan for the patient to the doctor user port; The doctor will then decide whether to initiate the program; The application layer also includes electronic medical record retrieval system, blood transfusion decision system and third-party embedded function pages; among them, The electronic medical record retrieval system performs structured table analysis on EMR system data, performs regular retrieval, and annotates the retrieval results to form a blood transfusion performance database. The diagnosis and treatment IDT system analyzes the hospital's electronic medical records based on an intelligent decision-making algorithm, systematically annotates the output results, and generates a blood transfusion performance database dictionary. The keyword extraction logic of the electronic medical record retrieval system first determines the keyword retrieval in the electronic medical record text through the inclusion relationship; then, after determining the keyword, determine whether there is a negative word from the keyword to the previous punctuation mark; if there is a negative word, determine that the keywords in the interval between the negative word and the first punctuation mark after it do not participate in the decision analysis; if there is no negative word, use the keyword to participate in the decision; in the recommendation process, you can add keywords that do not participate in the decision content and show negative meanings; among them, determine the punctuation content other than the semicolon: period, comma, semicolon, question mark, colon, exclamation mark, which are Chinese and English symbols respectively; The intelligent decision-making algorithm adopts a hedging algorithm; To perform hedging A, first, based on the patient's blood transfusion medical record A1, the pre-transfusion ward rounds performance A2 and discharge performance A3 are hedged to obtain the blood transfusion performance A4 information, and non-transfusion performance is excluded; then, the indication improvement coefficient A7 is obtained based on the blood transfusion record performance A5 and the recorded post-transfusion evaluation A6; Perform hedging B. First, perform hedging analysis B3 on the pre-transfusion ward round performance B11 based on the blood transfusion medical record B1 and the entire ward round performance B21 based on the non-blood transfusion medical record B2 to obtain the blood transfusion performance B4. To perform hedging C, first, based on the pre-transfusion ward round performance C2 of the patient's transfusion medical record C1, the number of repetitions of each performance C3 is calculated and manually marked as Y / N; Calculate the transfusion performance A4 information, indication improvement coefficient A7 and transfusion performance B4, the number of repetitions of each performance D1 and manually mark Y / N after screening the non-repetitive numbers; The data after the manual Y / N mark is included in the system performance dictionary.

2. The blood transfusion intelligent decision-making system according to claim 1 is characterized in that : Negative words include none, hadn’t, no, not, not seen, not heard, not listened to; The blood transfusion decision system retrieves the data from the diagnosis and treatment IDT system to provide blood transfusion decision guidance for patients. It integrates the basic information of patients, test indications, clinical manifestations, and the blood transfusion indications and blood transfusion performance database in the background to provide doctors with reasonable guidance on blood use. The blood transfusion decision embedding page is used by third-party systems to embed into the blood transfusion decision system, so as to provide guidance for blood transfusion decisions and simplify the operation of doctors. After going from the HIS embedding page of the HIS system to the decision page, the patient information and LIS information are called, the obtained results are automatically saved, and a record is generated on the list page. The clinician user port is installed on the PC used by the clinician. The blood transfusion decision system assigns each clinician a corresponding login number and password. According to the patient's information, the clinician enters the login number and the patient's diagnosis information, retrieves the patient's historical diagnosis information through the electronic medical record retrieval system, and issues a blood transfusion decision. The transfusion doctor user port is installed on the PC used by the transfusion doctor. The transfusion decision system assigns each transfusion doctor a corresponding login number and password. After the transfusion doctor enters the login number, he enters the patient information, retrieves the patient's transfusion information according to the electronic medical record retrieval system, checks the transfusion decision process records, and performs statistical analysis.

3. The blood transfusion intelligent decision-making system according to claim 1 is characterized in that : The data layer includes a knowledge base containing a basic dictionary, so that doctors can provide inquiries on blood transfusion treatment plans or situations where special terms are unknown through the doctor user port; the basic dictionary content includes blood type, blood variety, clinical diagnosis, primary clinical manifestations, secondary clinical manifestations, clinical manifestations and indications, special signs, special signs and clinical manifestations, blood loss, expected signs, age groups, blood volume, transfusion indications, cause dictionary and age units.

4. The blood transfusion intelligent decision-making system according to claim 1 is characterized in that : The blood transfusion decision system is used by clinicians to view the records of previous blood transfusion decisions. The actors are clinicians and transfusion doctors. It is a pre-deployment before the doctor actually makes a decision, and after the doctor actually makes a decision, it records the decision record generated by this decision; The content of the blood transfusion decision system displays the decision type, blood volume, decision method, operation time, department and medical record number of several types of blood; delete the invalid decision results; Blood transfusion decision analysis includes year-on-year analysis of the decision volume of the current month, analysis of the number of decisions made this month and the number of decisions made in the same month of the previous year; analysis of the decision and actual transfusion of the current month, the major categories of blood types include red blood cells, platelets, plasma, and cryoprecipitate, recording the blood volume determined by the blood type in the blood transfusion decision system and the blood volume actually transfused to the patient in the blood transfusion system; analysis of the proportion of blood transfusion decisions in the current month, including the comparison between the number of times of choosing not to transfuse and the number of times of choosing the system-decided transfusion, and the comparison between the number of times of doctor modification and system transfusion; Rules for transfusion decision analysis, Red blood cells: body weight (kg) × blood volume (target indication HB - patient indication HB) ÷ 25; Platelets Children: (target positive platelet count – patient indicated platelet count) ÷ 17; Platelet children: (target positive platelet count – patient indicated platelet count) ÷ 6; Platelet infants and young children: (target indicated platelet count - patient indicated platelet count) ÷ 60 × body weight × 7 ÷ 200; Plasma: body weight × 10; Cryoprecipitate (adult): body weight ÷ 10 × 4; Cryoprecipitate (infant) weight × 2; Among them, the blood volume in the blood transfusion decision system is only integers and 0.5U. When it is greater than 0.5U, the value is 0.5U, and when it is less than 0.5, the value is integer; when the blood volume is less than 0.5U, it is defined as not recommended for transfusion; when the blood volume is not less than 0.5U and less than 2U, it is displayed to consider transfusion; when the blood volume is not less than 2U, it is displayed to recommend transfusion; If the recommendation result has multiple blood categories under the red blood cell category: Blood category priority: washed red blood cells > suspended red blood cells; The patient's basic information includes medical record number or clinic number; the patient's basic information also includes name, gender, age, region, height, weight, blood type, department, bed number, ICD, and clinical diagnosis; Patient indications included HB, HCT, platelet count, DIC with fibrinogen level, INR, PT, APTT, neutrophil value and blood pressure.

5. The blood transfusion intelligent decision-making system according to claim 4 is characterized in that : The interface of the blood transfusion decision system is connected with the HIS system, LIS system, electronic medical record system, and TMIS system. The blood varieties correspond to the standard codes set in the blood variety dictionary of the decision system and the standard codes in the TMIS system. The decision results are transmitted to the TMIS system and the blood variety names in the TMIS are displayed; when the embedded page user name and password need to be encrypted, the encryption interface is provided and called; The basic information of patients connected to HIS includes name, gender, age, medical record number or clinic number, maternity, place of jurisdiction, clinical diagnosis, clinical disease, weight, height, whether it is the first blood transfusion, number of blood transfusions, clinical manifestations, whether surgery, type of surgery, stage of surgery, date of birth, certificate type, certificate number, medical insurance category, transfusion reaction, type of treatment, department, ward, bed, whether long-term blood transfusion, number of days of operation, contact number, home address and allergy type; The patient indication information connected to LIS includes ABO blood type, RH(D) blood type, HCT hematocrit, HB / HGB hemoglobin value, PLT platelet count, PT prothrombin time, APTT activated partial thromboplastin time, RBC red blood cell count, INR, DIC with fibrinogen level, body temperature, blood pressure, TEG thromboelastogram, WBC white blood cell count, GRA% neutrophil percentage, MID% intermediate cell percentage, LYN% lymphocyte percentage, GRA absolute neutrophil value, MID absolute intermediate cell value, LYM absolute lymphocyte value; TMIS system interface. When the information is transmitted to the decision-making system through TMIS, it includes adverse reactions to blood transfusion, whether an organ transplant has been performed, special patient identification and post-transfusion evaluation; when the information is transmitted to TMIS through the decision-making system, it includes the blood type corresponding to TMIS through the standard code in the blood type of the decision system, the decision order number, the decision blood volume, the patient's medical record number, the type of visit and the name of the operator.

6. A blood transfusion intelligent decision-making system method, characterized in that : A blood transfusion intelligent decision-making system based on any one of claims 1-5; specific method of use; Step 1: Obtain patient information and vital signs through the HIS system, obtain indicator data through the LIS system, and provide reference for doctors to use blood rationally based on the adverse reaction records and historical blood use records; Step 2: After uploading the information of step 1 to the big data platform, the big data platform generates historical blood use information for each disease; generates blood use analysis for each disease based on the historical blood use information for each disease; in addition, collects the patient information and index information of the information of step 1, and generates expected indications or signs through transfusion indications and transfusion indications; among which, the expected signs in the blood volume calculation formula are: (blood volume × body weight (target indication HB - patient indication HB)); body mass index calculation formula: body mass index (BMI) = body weight (kg) ÷ height^2 (m); Step three: perform intelligent calculations to obtain autologous or allogeneic blood transfusion treatment plans, and provide doctors with the amount, type, volume and blood collection plan of transfused blood.

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