Medication management method, device, equipment, storage medium and program product

Abstract

The invention discloses a medication management method and device, equipment, a storage medium and a program product, and relates to the technical field of medical systems.The disclosed medication management method comprises the steps that case information of a patient and information of a to-be-issued medicine are acquired; wherein the case information comprises diagnosis information and body information of the patient; the to-be-issued medicine information comprises to-be-issued medicine names and / or to-be-issued medicine numbers; and based on the case information, generating medication prompt information of the to-be-issued medicine. The accuracy of the drug issuing result can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of medical systems, and in particular to a medication management method, device, equipment, storage medium, and program product. Background Art

[0002] In the related art, doctors can understand the basic conditions of patients by asking them questions, and prescribe medicines based on this. However, when doctors ask patients questions, there may be omissions or patients may deliberately conceal information, which may lead to improper prescribing by doctors and may cause medical accidents. Summary of the invention

[0003] The main purpose of this application is to provide a medication management method, device, equipment, storage medium and program product, aiming to improve the accuracy of drug prescription results in related technologies.

[0004] To achieve the above objectives, this application proposes a medication management method, including:

[0005] Obtaining the patient's medical record information and information about the drugs to be prescribed; wherein the medical record information includes the patient's diagnosis information and physical information; the information about the drugs to be prescribed includes the name of the drugs to be prescribed and / or the number of the drugs to be prescribed;

[0006] Generate medication reminder information for the drugs to be prescribed based on the case information.

[0007] In one embodiment, the step of generating medication reminder information of the drug to be prescribed based on the case information includes:

[0008] Based on the case information and the information of the drugs to be prescribed, query the preset medication knowledge base;

[0009] If the preset medication knowledge base contains medication data that matches the case information and the information of the drugs to be prescribed, medication reminder information of the drugs to be prescribed is generated based on the matching medication data; the medication data includes medication dosage and / or medication frequency.

[0010] In one embodiment, based on the case information and the information of the drug to be prescribed, the step of querying the preset medication knowledge base includes:

[0011] Based on Formula 1, determining a first correlation between the diagnosis information and the drug to be prescribed;

[0012] Based on Formula 2, determining a second correlation between two drugs to be prescribed;

[0013] Based on Formula 3, determine the matching degree between the patient's physical information and each drug to be prescribed;

[0014] Based on the above formula 4, the matching probability between the drug to be prescribed and the case information is determined;

[0015] If the matching probability is greater than a preset threshold, it is determined that the preset medication knowledge base contains medication data that matches the case information and the information of the drug to be prescribed;

[0016] If the matching probability is less than the preset threshold, it is determined that the preset medication knowledge base does not have medication data that matches the case information and the information of the drug to be prescribed;

[0017] Among them, formula 1 is: ρ y is the first correlation between the diagnostic information and the drug to be prescribed, c i is the correlation between the i-th drug to be prescribed and the diagnosis information, i∈[1,n], n is the total number of drugs to be prescribed;

[0018] Formula 2 is: ρ d is the second correlation between the two drugs to be prescribed, d uv is the number of times the two drugs u and v to be prescribed are used together in the medication knowledge base, d u is the number of prescriptions of the drug u to be prescribed within the preset time period, d v is the number of prescriptions of the drug v to be prescribed within the preset time period, β1, β2 and β3 are adjustable parameters;

[0019] Formula 3 is: T pi =sgn(i),T pi is the matching degree between the patient's physical information and the i-th drug to be prescribed, sgn is the matching degree judgment function, and its value is 1 or 0;

[0020] Formula 4: P = T pi *…*T pn (α1ρ y +α2ρ d ), P is the matching probability between the drug to be prescribed and the case information, and α1 and α2 are adjustable parameters.

[0021] In one embodiment, based on the case information and the information of the drug to be prescribed, after the step of querying the preset medication knowledge base, the following steps are further included:

[0022] If the preset medication knowledge base does not contain medication data that matches the case information and the information of the drug to be prescribed, warning information and / or drug substitution information that the drug to be prescribed is not suitable for the patient is generated; the drug substitution information includes drug information of at least one alternative drug that is suitable for the patient and can replace the drug to be prescribed.

[0023] In one embodiment, before the step of querying a preset medication knowledge base based on the case information and the information of the drug to be prescribed, the step further includes:

[0024] Obtain medication specification texts; medication specification texts include drug standards, industry specifications, and drug instructions;

[0025] Preprocess the medication specification text to obtain key medication information; the preprocessing operations include word segmentation, stop word removal, and keyword extraction; key medication information includes drug name, disease name, dosage, and indication symptoms;

[0026] Based on the key information of medication, a medication knowledge base is constructed; the medication knowledge base includes at least one piece of medication data.

[0027] In one embodiment, the step of obtaining the patient's medical record information includes:

[0028] Obtain the patient's case information from the knowledge base of the large platform; the case information includes the patient's diagnosis information in other medical institutions.

[0029] In addition, to achieve the above-mentioned purpose, the present application also proposes a medication management device, which includes:

[0030] The acquisition module is used to acquire the patient's case information and information about the drugs to be prescribed; wherein the case information includes the patient's diagnosis information and physical information; the information about the drugs to be prescribed includes the name of the drugs to be prescribed and / or the number of the drugs to be prescribed;

[0031] The generation module is used to generate medication reminder information for the drugs to be prescribed based on the case information.

[0032] In addition, to achieve the above-mentioned purpose, the present application also proposes a medication management device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the medication management method as described above.

[0033] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the medication management method as described above are implemented.

[0034] In addition, to achieve the above-mentioned purpose, the present application also proposes a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the medication management method as described above are implemented.

[0035] One or more technical solutions proposed in this application have at least the following technical effects:

[0036] A medication management method provided in the present application can obtain the patient's case information and information on drugs to be prescribed; wherein the case information includes the patient's diagnosis information and physical information; the information on drugs to be prescribed includes the name of the drug to be prescribed and / or the number of the drug to be prescribed; based on the case information, medication reminder information for the drugs to be prescribed is generated.

[0037] Therefore, this application can obtain the patient's medical case information and the drugs that the current doctor is about to prescribe. The patient's detailed case information can generate medication reminder information suitable for the patient, thereby reducing the time and energy required by the doctor when prescribing drugs, and ensuring that all important factors (physical information such as weight and age, as well as diagnostic information such as medical history and contraindications) are taken into account when prescribing drugs, so as to reduce medication errors caused by doctors' omissions in inquiries or patients' deliberate concealment. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0040] Figure 1 A flowchart of the first embodiment of the medication management method of this application is provided;

[0041] Figure 2 for Figure 1 Detailed flow chart of step S200;

[0042] Figure 3 This is a schematic diagram of the module structure of the medication management device according to an embodiment of the present application;

[0043] Figure 4 Schematic diagram of the device structure of the hardware operating environment involved in the medication management method in the embodiment of the present application.

[0044] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0045] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0046] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0047] The main solution of the embodiment of the present application is: obtaining the patient's case information and information on the drugs to be prescribed; wherein the case information includes the patient's diagnosis information and physical information; the diagnosis information includes medical history and contraindication information, and the physical information includes weight, height and age; the information on the drugs to be prescribed includes the name of the drugs to be prescribed and / or the number of the drugs to be prescribed; based on the case information, generate medication reminder information for the drugs to be prescribed.

[0048] In the related art, doctors can understand the basic conditions of patients by asking them questions, and prescribe medicines based on this. However, when doctors ask patients questions, there may be omissions or patients may deliberately conceal information, which may lead to improper prescribing by doctors and may cause medical accidents.

[0049] The present application provides a solution that can generate medication reminder information suitable for patients through the patient's detailed case information, thereby reducing the time and energy required by doctors when prescribing medicines, and ensuring that all important factors (weight, age, medical history, contraindication information, etc.) are taken into account when prescribing medicines, so as to reduce medication errors caused by doctors' omissions in inquiries or patients' deliberate concealment.

[0050] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, etc., or an electronic device capable of realizing the above functions, etc. The following takes the medication management device as an example to illustrate this embodiment and the following embodiments.

[0051] Based on this, the present application embodiment provides a medication management method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the medication management method of the present application.

[0052] In this embodiment, the medication management method includes steps S100 to S200:

[0053] Step S100, obtaining the patient's case information and information on the drugs to be prescribed.

[0054] Among them, the case information includes the patient's diagnosis information and physical information; the information on drugs to be prescribed includes the name of the drugs to be prescribed and / or the number of the drugs to be prescribed.

[0055] Step S200, generating medication reminder information for the drugs to be prescribed based on the case information.

[0056] Specifically, when a patient comes to the hospital for medical treatment, the hospital's medical management system can record the patient's case information, which includes but is not limited to the patient's diagnosis information and physical information. Diagnosis information includes the patient's medical history and related contraindications, and physical information includes but is not limited to the patient's weight, height, and age. Medical staff can prescribe corresponding prescriptions on the hospital's medical order system based on the initial diagnosis of the patient.

[0057] The medication management device can directly access the patient's case information for this visit through the hospital system. In a feasible implementation, the patient's case information can also be obtained from the knowledge base of a large platform; the case information includes the patient's diagnosis information in other medical institutions. It is understandable that in order for medical institutions to obtain more comprehensive patient case information to improve the accuracy and efficiency of diagnosis and treatment, the patient's diagnosis information in other medical institutions can be obtained from the knowledge base of a large platform, such as the health information exchange platform established in many countries and regions for sharing patient health information, and the commercial health information platform that integrates data from different medical institutions. After the medication management device verifies the relevant permissions, it can use the preset API interface to access the knowledge base of the large platform to obtain more comprehensive case information for the patient.

[0058] Based on the relatively complete patient case information obtained, medication reminder information for the drugs to be prescribed can be generated to intuitively display relevant information (such as dosage information, etc.) of the drugs to be prescribed to medical staff. Figure 2 As shown, in a feasible implementation manner, step S200 may specifically include steps S210 to S220:

[0059] Step S210, based on the case information and the information of the medicine to be prescribed, query the preset medication knowledge base.

[0060] Step S220: If the preset medication knowledge base contains medication data that matches the case information and the information of the medication to be prescribed, medication reminder information of the medication to be prescribed is generated based on the matching medication data.

[0061] Among them, medication data includes medication dosage and / or medication frequency.

[0062] It should be noted that the preset medication knowledge base is a database containing various medication usage information. The medication knowledge base can be an existing commercial medication knowledge base purchased by a medical institution, or a free open source medication database provided by a relevant health institution. Alternatively, in a feasible implementation, steps A100 to A300 can be included before step S210 to self-build the required medication knowledge base:

[0063] Step A100, obtaining the medication specification text.

[0064] The medication specification text includes drug standards, industry norms, and drug instructions.

[0065] Step A200: Perform preprocessing operations on the medication specification text to obtain key medication information.

[0066] The preprocessing operations include word segmentation, stop word removal, and keyword extraction; the key medication information includes drug names, disease names, dosages, and indications.

[0067] Step A300: Build a medication knowledge base based on the key medication information.

[0068] The medication knowledge base includes at least one piece of medication data.

[0069] Specifically, official documents on drug standards can be obtained from the official websites of drug regulatory agencies, and guiding documents (industry specification texts) issued by industry associations or medical organizations, such as clinical medication guidelines, etc., and drug instructions for each drug can be obtained through pharmaceutical companies, etc., which include drug ingredients, indications, usage methods, dosages, and contraindications, etc. After obtaining the above-mentioned medication specification text, the continuous text can be segmented into individual words and stop words can be removed, that is, common but meaningless words in the text (such as words like "of", "is", "has", etc.) are removed to improve the processing efficiency and the accuracy of the results. Methods such as manual annotation can be used to extract keywords from the text to obtain key medication information, and the key medication information includes but is not limited to drug names, disease names, dosages, and indications, etc. Thus, a medication knowledge base can be built based on the key medication information for subsequent querying of the medication knowledge base based on case information and the information of the drug to be prescribed.

[0070] In addition, after building the medication knowledge base, the drug information in the medication knowledge base can be updated regularly to ensure the currency and accuracy of the relevant data. The update operation can be that relevant operators regularly input update information, or it can also use the API interface to obtain the latest drug information from the official data source and synchronize it to the medication knowledge base.

[0071] In a feasible implementation manner, the steps of querying a preset medication knowledge base based on case information and the information of the drug to be prescribed may include steps S211 to S216:

[0072] Step S211: Determine the first relevance between the diagnostic information and the drug to be prescribed based on Formula 1.

[0073] Wherein, Formula 1 is: ρ y is the first relevance between the diagnostic information and the drug to be prescribed, c iis the correlation between the i-th drug to be prescribed and the diagnosis information, i∈[1,n], and n is the total number of drugs to be prescribed.

[0074] Step S212: Based on Formula 2, determine the second correlation between the two drugs to be prescribed.

[0075] Formula 2 is: ρ d is the second correlation between the two drugs to be prescribed, d uv is the number of times the two drugs u and v to be prescribed are used together in the medication knowledge base, d u is the number of prescriptions of the drug u to be prescribed within the preset time period, d v is the number of prescriptions of the drug v to be prescribed within the preset time period, β1, β2 and β3 are adjustable parameters, where β1 is the first correlation factor [log 10 (1+|d u -d v )] -1 The weight of β2 is the second correlation factor The weight of β3 is the third correlation factor The specific values ​​of β1, β2 and β3 can be adjusted according to actual needs.

[0076] Step S213, based on Formula 3, determining the degree of matching between the patient's physical information and each drug to be prescribed.

[0077] Formula 3 is: T pi =sgn(i),T pi is the matching degree between the patient's physical information and the i-th drug to be prescribed, sgn is the matching degree judgment function, and its value is 1 or 0.

[0078] Step S214, based on Formula 4, determine the matching probability between the drug to be prescribed and the case information.

[0079] Formula 4: P = T pi *…*T pn (α1ρ y +α2ρ d ), P is the matching probability between the drug to be prescribed and the case information, α1 and α2 are adjustable parameters, wherein α1 is the weight of the first correlation, α2 is the weight of the second correlation, and the specific values ​​of α1 and α2 can be set according to the actual application requirements, such as the optimal setting can be determined according to domain knowledge and experimental verification.

[0080] Step S215: If the matching probability is greater than a preset threshold, it is determined that the preset medication knowledge base contains medication data that matches the case information and the information of the drug to be prescribed.

[0081] Step S216: If the matching probability is less than a preset threshold, it is determined that the preset medication knowledge base does not contain medication data that matches the case information and the information of the drug to be prescribed.

[0082] Specifically, after determining the relevant information of the patient's diagnosis information and the drugs to be prescribed, the medication database can be queried. Based on the massive data in the medication database, the above formula 1 is used to calculate the first correlation between the patient's diagnosis information and the drugs to be prescribed, and the correlation between the diagnosis information and the drugs to be prescribed is determined; the second correlation between two drugs to be prescribed is calculated using formula 2 to determine the mutual correlation between multiple drugs to be prescribed; and the degree of matching between the patient's physical information and the drugs to be prescribed is calculated using formula 3. In this way, the above first correlation, second correlation, and the degree of matching between the patient's physical information and the drugs to be prescribed can be comprehensively considered, and the matching probability between the drugs to be prescribed and the case information can be determined using formula 4. Comprehensive consideration of multiple aspects to determine the matching probability between the drugs to be prescribed and the case information can ensure the accuracy of the final medication results. It should be noted that the above formulas can all be implemented by referencing external links; among them, Formula 1 can be implemented using an external text comparison website, which can perform a text comparison between the contraindication symptoms in the patient's diagnosis and the drug instructions to determine whether the drug is applicable; Formula 2 can export the medication records of two drugs to be prescribed into a table, perform statistical processing, and determine the correlation between the two drugs; Formula 3 uses an external text comparison website to perform a text comparison between the relevant records of the patient's physical information and the indications part of the drug instructions to determine the match between the patient's physical information and the drug to be prescribed; Formula 4 is the statistical processing after completing the above processing to obtain the comprehensive matching probability.

[0083] If the calculated matching probability is greater than the preset threshold, it can be determined that the preset medication knowledge base contains medication data that matches the case information and the information of the drug to be prescribed, and thus medication reminder information of the drug to be prescribed can be generated based on the matching medication data. That is, when the matching probability preset threshold is reached, the corresponding medication data (such as medication dosage, medication frequency, medication method, etc.) can be output, and medication reminder information can be generated based on the medication data, such as a pop-up window on the display device to allow medical staff to know the medication situation more intuitively.

[0084] If the calculated matching probability is less than the preset threshold, it indicates that the drug to be prescribed is not highly compatible with the patient's case information and is not suitable for prescription to the patient. Therefore, when the matching probability is less than the preset threshold, it can be determined that the preset medication knowledge base does not contain medication data that matches the case information and the drug information to be prescribed, thereby avoiding prescribing inappropriate drugs to patients and reducing the risk of potential adverse drug reactions and treatment failures.

[0085] In addition, if the preset medication knowledge base does not contain medication data that matches the case information and the information of the drug to be prescribed, warning information and / or drug substitution information that the drug to be prescribed is not suitable for the patient can be generated; the drug substitution information includes drug information of at least one alternative drug that is suitable for the patient and can replace the drug to be prescribed. You can search for drugs that are suitable for patients and can replace the drugs to be prescribed in the medication knowledge base. These alternative drugs should meet the following conditions: for example, the functions and efficacy are similar to those of the drugs to be prescribed, and they are suitable for the specific conditions of the patient (such as age, gender, allergy history, etc.). Output suitable alternative drugs based on the screening conditions to help medical staff make safer medication decisions, while providing patients with practical alternatives, thereby improving the safety and effectiveness of treatment.

[0086] It is not difficult to understand that in the medication management method provided in this embodiment, the patient's medical case information and the drugs to be prescribed by the current doctor can be obtained. Medication reminder information suitable for the patient can be generated through the patient's detailed case information, thereby reducing the time and energy required by the doctor when prescribing drugs, and ensuring that all important factors (weight, age, medical history, contraindication information, etc.) are taken into account when prescribing drugs, so as to reduce medication errors caused by omissions in doctor's inquiries or deliberate concealment by patients.

[0087] This application also provides a medication management device, please refer to Figure 3 , the medication management device comprises:

[0088] The acquisition module 10 is used to acquire the patient's case information and information about the medicine to be prescribed; wherein the case information includes the patient's diagnosis information and physical information; the information about the medicine to be prescribed includes the name of the medicine to be prescribed and / or the number of the medicine to be prescribed;

[0089] The generating module 20 is used to generate medication reminder information of the drugs to be prescribed based on the case information.

[0090] The medication management device provided by the present application adopts the medication management method in the above embodiment, which can solve the technical problem that the accuracy of medication results in the related art needs to be improved. Compared with the related art, the beneficial effects of the medication management device provided by the present application are the same as the beneficial effects of the medication management method provided by the above embodiment, and other technical features in the medication management device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0091] The present application provides a medication management device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the medication management method in the above-mentioned embodiment one.

[0092] Reference below Figure 4 , which shows a schematic diagram of the structure of a medication management device suitable for implementing the embodiment of the present application. The medication management device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, notebook computers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions: tablet computers), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4 The medication management device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0093] like Figure 4 As shown, the medication management device may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the medication management device are also stored. The processing device 1001, ROM1002, and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the medication management device to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a medication management device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or provided instead.

[0094] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0095] The medication management device provided by the present application adopts the medication management method in the above embodiment, which can solve the technical problem that the accuracy of medication results in the related art needs to be improved. Compared with the related art, the beneficial effects of the medication management device provided by the present application are the same as the beneficial effects of the medication management method provided by the above embodiment, and the other technical features in the medication management device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0096] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0097] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0098] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the medication management method in the above-mentioned embodiment.

[0099] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0100] The computer-readable storage medium may be included in the medication management device; or may exist independently without being incorporated into the medication management device.

[0101] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the medication management device, the medication management device: obtains the patient's case information and information on drugs to be prescribed; wherein the case information includes the patient's diagnosis information and physical information; the information on drugs to be prescribed includes the name of the drug to be prescribed and / or the number of the drug to be prescribed; thereby, based on the case information, medication reminder information for the drugs to be prescribed can be generated.

[0102] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0103] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0104] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0105] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned medication management method, and can solve the technical problem that the accuracy of medication results in the related art needs to be improved. Compared with the related art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the medication management method provided in the above-mentioned embodiment, and will not be repeated here.

[0106] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned medication management method when executed by a processor.

[0107] The computer program product provided by this application can solve the technical problem that the accuracy of medication results in the related art needs to be improved. Compared with the related art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the medication management method provided by the above embodiment, which will not be repeated here.

[0108] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A medication management method, characterized in that: The method comprises: Obtaining the patient's case information and information about the drugs to be prescribed; wherein the case information includes the patient's diagnosis information and physical information; the drug information to be prescribed includes the name of the drug to be prescribed and / or the drug number to be prescribed; Based on the case information, medication reminder information for the drugs to be prescribed is generated.

2. The method according to claim 1, characterized in that The step of generating medication reminder information of the drug to be prescribed based on the case information includes: Based on the case information and the information of the drug to be prescribed, query a preset medication knowledge base; If the preset medication knowledge base contains medication data that matches the case information and the information of the drug to be prescribed, medication reminder information of the drug to be prescribed is generated based on the matching medication data; the medication data includes medication dosage and / or medication frequency.

3. The method according to claim 2, characterized in that The step of querying a preset medication knowledge base based on the case information and the information of the drug to be prescribed includes: Based on Formula 1, determining a first correlation between the diagnosis information and the drug to be prescribed; Based on Formula 2, determining a second correlation between the two drugs to be prescribed; Based on Formula 3, determining the degree of matching between the patient's physical information and each of the drugs to be prescribed; Based on Formula 4, determining the matching probability between the drug to be prescribed and the case information; If the matching probability is greater than a preset threshold, it is determined that the preset medication knowledge base contains medication data that matches the case information and the information of the drug to be prescribed; If the matching probability is less than a preset threshold, it is determined that the preset medication knowledge base does not have medication data that matches the case information and the information of the drug to be prescribed; Wherein, the formula 1 is: ρ y is the first correlation between the diagnostic information and the drug to be prescribed, c i is the correlation between the i-th drug to be prescribed and the diagnosis information, i∈[1,n], n is the total number of drugs to be prescribed; The formula 2 is: ρ d is the second correlation between the two drugs to be prescribed, d uv is the number of times the two drugs u and v to be prescribed are used together in the medication knowledge base, d u is the number of prescriptions of the drug u to be prescribed within the preset time period, d v is the number of prescriptions of the drug v to be prescribed within the preset time period, β1, β2 and β3 are adjustable parameters; The formula three is: T pi =sgn(i),T pi is the matching degree between the patient's physical information and the i-th drug to be prescribed, sgn is a matching degree judgment function, and its value is 1 or 0; The formula 4 is: P = T pi *…*T pn (α1ρ y +α2ρ d ), P is the matching probability between the drug to be prescribed and the case information, and α1 and α2 are adjustable parameters.

4. The method according to claim 3, characterized in that After the step of querying a preset medication knowledge base based on the case information and the information of the drug to be prescribed, the method further includes: If the preset medication knowledge base does not contain medication data that matches the case information and the information of the drug to be prescribed, warning information and / or drug substitution information that the drug to be prescribed is not suitable for the patient is generated; the drug substitution information includes drug information of at least one alternative drug that is suitable for the patient and can replace the drug to be prescribed.

5. The method according to claim 4, characterized in that The step of querying a preset medication knowledge base based on the case information and the information of the drug to be prescribed also includes: Obtaining medication specification texts; the medication specification texts include drug standards, industry specifications, and drug instructions; Preprocessing the medication specification text to obtain key medication information; the preprocessing operation includes word segmentation, stop word removal, and keyword extraction; the key medication information includes drug name, disease name, dosage, and indication symptoms; Based on the key medication information, the medication knowledge base is constructed; the medication knowledge base includes at least one medication data.

6. The method according to any one of claims 1 to 5, characterized in that The step of obtaining the patient's case information comprises: The case information of the patient is obtained from the knowledge base of the large platform; the case information includes the diagnosis information of the patient in other medical institutions.

7. A medication management device, characterized in that: The device comprises: An acquisition module is used to acquire the patient's case information and information about the drugs to be prescribed; wherein the case information includes the patient's diagnosis information and physical information; the information about the drugs to be prescribed includes the name of the drugs to be prescribed and / or the number of the drugs to be prescribed; A generation module is used to generate medication reminder information for the drugs to be prescribed based on the case information.

8. A medication management device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the medication management method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the medication management method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the medication management method according to any one of claims 1 to 6 are implemented.

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