CN111755132A - Information management system - Google Patents
Information management system Download PDFInfo
- Publication number
- CN111755132A CN111755132A CN202010649882.XA CN202010649882A CN111755132A CN 111755132 A CN111755132 A CN 111755132A CN 202010649882 A CN202010649882 A CN 202010649882A CN 111755132 A CN111755132 A CN 111755132A
- Authority
- CN
- China
- Prior art keywords
- module
- subsystem
- information
- management
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 239000003814 drug Substances 0.000 claims abstract description 99
- 238000012546 transfer Methods 0.000 claims abstract description 17
- 238000003032 molecular docking Methods 0.000 claims abstract description 13
- 238000007726 management method Methods 0.000 claims description 153
- 229940079593 drug Drugs 0.000 claims description 59
- 238000001514 detection method Methods 0.000 claims description 53
- 230000000840 anti-viral effect Effects 0.000 claims description 25
- 238000000034 method Methods 0.000 claims description 23
- 230000008569 process Effects 0.000 claims description 22
- 201000008827 tuberculosis Diseases 0.000 claims description 15
- 238000012544 monitoring process Methods 0.000 claims description 14
- 238000012216 screening Methods 0.000 claims description 14
- 238000004891 communication Methods 0.000 claims description 13
- 230000000694 effects Effects 0.000 claims description 12
- 206010059866 Drug resistance Diseases 0.000 claims description 10
- 230000002159 abnormal effect Effects 0.000 claims description 9
- 230000008676 import Effects 0.000 claims description 9
- 238000003745 diagnosis Methods 0.000 claims description 8
- 230000006378 damage Effects 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 6
- 238000012377 drug delivery Methods 0.000 claims description 4
- 239000003443 antiviral agent Substances 0.000 claims description 3
- 238000012545 processing Methods 0.000 abstract description 3
- 238000013479 data entry Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 10
- 208000030507 AIDS Diseases 0.000 description 9
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 206010066901 Treatment failure Diseases 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 231100000331 toxic Toxicity 0.000 description 2
- 230000002588 toxic effect Effects 0.000 description 2
- 208000030453 Drug-Related Side Effects and Adverse reaction Diseases 0.000 description 1
- 206010073310 Occupational exposures Diseases 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000009849 deactivation Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000002483 medication Methods 0.000 description 1
- 231100000675 occupational exposure Toxicity 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
- H04W4/14—Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Physics & Mathematics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Medicinal Chemistry (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Chemical & Material Sciences (AREA)
- Pathology (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computational Linguistics (AREA)
- General Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses an information management system, which belongs to the field of informatization management systems and comprises a doctor workstation subsystem, a nurse workstation subsystem, a laboratory result subsystem, a consultation subsystem, a patient use subsystem, an information transfer and docking management subsystem, a server, a medical institution statistics subsystem, a medicine management subsystem, a patient transfer subsystem and an occupation exposure management subsystem. The invention improves the efficiency of information filling and processing, and changes the former mode of 'patient treatment, paper form filling and data entry reporting' into 'patient treatment whole flow informatization'. Unnecessary repeated entry is saved by automatic calling of the system through repeated information, laboratory data can be automatically filled by calling the LIS or HIS system database of the hospital, the working efficiency is remarkably improved, manual entry errors are reduced, and the labor cost is remarkably reduced.
Description
Technical Field
The invention relates to the field of information management systems, in particular to an information management system.
Background
Throughout the years, the basic management of the whole area of AIDS antiviral treatment work is realized by the national system. However, in practice, the work of annual tuberculosis screening, HIV antibody detection of single positive spouse, filling of case follow-up table and the like of the patient is mainly completed by the AIDS antiviral treatment fixed-point hospital, and the workload of the fixed-point hospital is obviously increased. In addition, the fixed-point hospital also undertakes the assessment and treatment of the aids occupational exposure, which is in an unordered state of non-information management due to the deactivation of laboratory systems in national systems for many years. With the extension of the development time of antiviral treatment work, the problems of monitoring and treatment of drug toxic and side effects, treatment failure and drug resistance, and complications related to long-term antiviral treatment become increasingly prominent. Higher requirements are put forward for management of AIDS prevention and treatment related work in our district, and the existing national information system cannot meet the requirement of antiviral treatment comprehensive management in our district. Mainly embodied in the following aspects:
1. the related information of AIDS antiviral treatment is large, the manual input workload is large, and errors are easy to occur. In the traditional working mode, after a doctor or a nurse fills a paper form, an information input person inputs a national data system, the efficiency is low, and input errors are easy. With the increase of the number of the treatment people, the daily diagnosis and treatment workload of the medical staff at each treatment point is large, and the acquisition and input amount of data information is also large. Hospitals with a large number of treatment people often need to arrange a plurality of full-time information input personnel for work, and the labor burden is heavy.
2. The data content of different workshops which are repeatedly filled in a crossed manner is more, and the time and the energy are wasted. In actual work, medical staff need to manually fill medical records and various forms, fill in many items, and most information has repeatability, such as patient name, sex, address, identity card number, antiviral treatment number, detection result and the like. The repeated filling of the same content is scattered, the time and the energy of medical staff are wasted, and the quality of main work such as diagnosis and treatment, consultation and the like is influenced.
3. The timeliness of collecting, reporting and statistically analyzing other relevant working data except antiviral treatment is low. For the treatment of AIDS patients, most treatment points still stay at the more original working mode level of manual writing of medical records and prescriptions, manual filling of forms, manual statistics and the like, and compared with the condition that other disease diagnosis and treatment at each treatment point are already assisted by an informatization mode, the treatment is much lagged behind and has extremely low efficiency. In addition, limited by the national system authority, hospitals cannot realize information management such as tuberculosis screening, spouse detection, case follow-up and the like through the national system, the original data of each treatment point still needs to be reported after manual registration, classification and statistics, the timeliness and the accuracy are difficult to guarantee, and the efficiency of data reporting and statistical analysis is greatly limited.
4. Potential safety hazards exist in the information exchange process. AIDS treatment data has corresponding confidentiality requirements, treatment information (a treatment list, the number of people, referral examination and approval, follow-up visit completion conditions, summary analysis results and the like) of each treatment point is stored, dispersed and transmitted only through the Internet after simple encryption, information safety is difficult to guarantee, and potential safety hazards of data loss and leakage exist.
5. The monitoring of relevant medical indexes such as treatment failure, toxic and side effects of antiviral treatment drugs, long-term complications and the like in antiviral treatment work lacks a quick guiding method. The historical cards are downloaded in a national system by the AIDS diagnosis and treatment quality control center in Guangxi province, statistical analysis is carried out on relevant indexes, problems are found and then fed back to each treatment point, and the AIDS diagnosis and treatment quality control center is large in data processing amount, long in time consumption and low in timeliness.
Disclosure of Invention
The present invention is directed to an information management system that solves the problems of the prior art. The information management system mainly aims at the data of the whole process of the treatment and treatment of the AIDS patient to carry out informatization management.
An information management system comprises a doctor workstation subsystem, a nurse workstation subsystem, a laboratory result subsystem, a consultation subsystem, a patient use subsystem, an information transfer docking management subsystem, a server, a medical institution counting subsystem, a medicine management subsystem, a patient transfer subsystem and an occupation exposure management subsystem, wherein the doctor workstation subsystem, the nurse workstation subsystem, the laboratory result subsystem, the consultation subsystem and the patient use subsystem are connected with the server through the information transfer docking management subsystem, and the medical institution counting subsystem, the medicine management subsystem, the patient transfer subsystem and the occupation exposure management subsystem are all connected with the server;
the doctor workstation subsystem is used for recording basic information of the patient, tuberculosis screening detection result data and patient spouse information; the nurse workstation subsystem is used for registering the information of the treatment, the appointment treatment and the follow-up visit information of the patient; the laboratory result subsystem is used for recording and counting the information of the test result, the monitoring index and the drug resistance detection result; the consultation subsystem is used for submitting consultation information, recording consultation process data and selection of consultation experts; the patient using subsystem is used for reminding the patient to take medicines, follow-up visit time information and reading detection result information; the information transfer docking management subsystem is used for direct communication, information sharing and communication among the doctor workstation subsystem, the nurse workstation subsystem, the laboratory result subsystem and the consultation subsystem; the server is used for storing data, updating data and inquiring data; the medical institution counting subsystem is used for counting and recording the information of the hospital with the capability of the consultation patient, the information of the relevant doctor of the hospital and the information of the medication relevant of the hospital; the drug management subsystem is used for recording and counting the using condition of the antiviral drugs and data of drug application, use and destruction conditions of each hospital; the patient referral subsystem is used for butting and acquiring treatment history data of patients among hospitals when the patients are transferred; the occupation exposure management subsystem is used for counting the information of occupation exposure personnel and issuing first-closing occupation subsidies.
The doctor workstation subsystem comprises a basic information management module, a follow-up visit and medication information management module, a tuberculosis screening detection management module and a spouse detection management module, wherein the basic information management module is used for inquiring and recording basic information data of a patient; the follow-up visit and medication information management module is used for recording and inquiring follow-up visit information and medication information of a patient, the tuberculosis screening detection management module is used for recording tuberculosis screening detection result data of the patient, and the spouse detection management module is used for recording and inquiring information of a patient spouse and detection result information.
The nurse workstation subsystem comprises a telephone follow-up management module, a visit registration module, a present follow-up module and a to-be-diagnosed management module, wherein the telephone follow-up management module is used for recording information related to telephone follow-up, including information which is not followed up and information which is followed up; the system comprises a consultation subsystem, a daily follow-up module, a management module and a consultation module, wherein the consultation registration module is used for recording information of personnel needing to be treated and transmitting the information to the consultation subsystem, the daily follow-up module is used for inquiring information of patients needing telephone follow-up on the same day and informing corresponding responsible nurses of short messages, and the management module is used for managing information of personnel not needing to be treated and arranging the treatment information.
The laboratory result subsystem comprises a drug-resistant early warning monitoring index management module, a virology effect index management module, a drug-resistant detection result management module, a check result import module and an abnormal value reminding module, wherein the drug-resistant early warning monitoring index management module is used for recording and monitoring the drug resistance of early drugs of patients and simultaneously informing corresponding doctors of early patient data with the drug resistance by short messages, the virology effect index management module is used for recording the virology effect data of the patients and storing statistical data in a server, the drug-resistant detection result management module is used for recording and counting the detection result data of the drug-resistant patients, the check result import module imports the detection result data into the server for inquiry, and the abnormal value reminding module is used for setting the administration detection data comparison value of each drug, when abnormal data occurs, the module sends out a short message to inform doctors and nurses.
The consultation subsystem comprises a consultation application module, a consultation recording module and an expert base module, wherein the consultation application module is used for registering nurses to make appointment consultation for consultation personnel, corresponding doctors are inquired from the expert base module, consultation application data are transmitted to the consultation recording module, the consultation recording module is used for recording and storing consultation process information in the consultation process of the doctors, the consultation process information comprises video data of the consultation personnel process and diagnosis and suggestion data of the doctors, and the expert base module is used for storing the consultation expert information.
The patient using subsystem comprises a follow-up visit reminding module, a detection result inquiring and reading module and a medicine reminding module, wherein the follow-up visit reminding module comprises nurse telephone follow-up visit and doctor home visit time arrangement and sends out voice to remind a user, the detection result inquiring and reading module is used for storing relevant detection results of different degrees and corresponding explanation data to enable the patient to inquire and read in time, and the medicine taking reminding module is used for reminding the patient to take medicines in time.
The information transfer, docking and management subsystem comprises an operation log recording module, a message board module, a real-time online communication module, an internal notification and announcement module, a mail center module and a file data module, wherein the operation log recording module is used for recording distance operation log data of a doctor workstation subsystem, a nurse workstation subsystem, a laboratory result subsystem and a consultation subsystem, the message board module is used for allowing patients to leave messages for doctors and nurses or messages between doctors and nurses, the real-time online communication module is used for allowing doctors and doctors, nurses and nurses or doctors and nurses to communicate in real time, the internal notification and announcement module is used for publishing related notification data, and the mail center module is used for allowing doctors and doctors, nurses and nurses or doctors and nurses to communicate in mail, the file data module is used for uploading shared data between a hospital and a hospital or between a doctor and a doctor.
The medical institution statistics subsystem comprises a hospital management module, a medical staff management module, an antiviral treatment scheme statistics module, an antiviral treatment queue analysis report module, a treatment condition statistics module, a treatment scheme statistics module, a queue analysis report module, a drug delivery statistics module, a work progress report module and a patient information module, the hospital management module records and counts hospital information with treatment quality, the medical staff management module is used for recording information of medical staff related to the medical staff firstly, the antiviral treatment scheme statistics module is used for recording an antiviral treatment scheme and inquiring, the treatment scheme statistics module is used for counting a treatment scheme and inquiring subsequent patients, and the drug delivery statistics module is used for counting data of drugs distributed by each hospital and each patient.
The medicine management subsystem comprises an antiviral medicine use condition summarizing module, a pharmacy medicine dispensing module, a medicine checking and registering module, a medicine inventory management module, a medicine applying module, a prescription unit dose counting module, a medicine damage reporting/destroying module, a medicine warehousing registration module and a doctor prescription counting module, and the medicine management subsystem sets labels for each hospital and manages corresponding medicines of the hospital to enter and exit and medicines distributed to patients.
The career exposure management subsystem comprises a subsidy issuing management module, a career exposure information management module, a patient history card downloading module and a treatment condition statistics module, wherein the subsidy issuing management module is used for managing corresponding subsidy issuing conditions of career exposure personnel, the career exposure information management module is used for recording information and family information of the career exposure personnel, the patient history card downloading module is used for downloading patient treatment process data, and the treatment condition statistics module is used for summarizing all treatment data of each patient.
By adopting the technical scheme, the invention has the following technical effects:
(1) the invention improves the efficiency of information filling and processing, and changes the former mode of 'patient treatment, paper form filling and data entry reporting' into 'patient treatment whole flow informatization'. The 'in-service' record is realized in each process serving the treatment work by simulating the process of the patient in the hospital. The repeated information is automatically called by the system, so that unnecessary repeated entry is omitted. And laboratory data can be obtained and automatically filled by calling the LIS or HIS system database of the hospital, so that manual entry errors are reduced. Through the modes, the efficiency is obviously improved, the workload of medical staff at each treatment point is reduced, the manpower is liberated, the information interconnection and intercommunication of the treatment points in the whole area are realized, and the information interconnection and intercommunication of the treatment points in the whole area are realized through the internal communication interactive block, so that the exchange management is convenient.
(2) The information safety is easier to guarantee, the problem that the safety management is difficult to guarantee when the data are dispersed in each treatment point in the past is solved, and the centralized management of the data is realized through centralized storage; the settings of authority setting, use management and the like of information transmission, viewing, modification and copy downloading are enhanced, the source of the information is ensured to the maximum extent, and the risk of divulgence in the transmission process is reduced; all information, data, notices, announcements and the like related to treatment are stored and read in the server, so that the closed use of the information is realized, and meanwhile, the use of the data is realized by recording the operation log, so that the data is automatically classified, counted and analyzed, and the quality control, guidance, supervision and decision making are served; the timeliness is improved. The clinic situations of the patients in the whole area can be recorded in the system 'in the middle of the scene', and the treatment related situations in the whole area can be comprehensively and dynamically known in real time.
(3) The flexibility is high, and the Guangxi system can be according to the needs of actual management work, timely, convenient increase content, if: the detection condition of the mate, the positive conversion rate of the positive mate, the detection rate of tuberculosis, the statistics of side effects of drugs, the distribution and dynamic change of patients can be combined with a GIS system and the like.
Drawings
FIG. 1 is a system block diagram of the invention.
FIG. 2 is a block diagram of the inventive physician workstation subsystem module.
FIG. 3 is a block diagram of the nurse workstation subsystem module of the invention.
FIG. 4 is a block diagram of the inventive laboratory results subsystem modules.
Figure 5 is a block diagram of the patient use subsystem module of the invention.
FIG. 6 is a block diagram of the consultation subsystem modules of the invention.
Fig. 7 is a block diagram of an inventive information transit docking management subsystem module.
FIG. 8 is a block diagram of the drug management subsystem modules of the invention.
FIG. 9 is a block diagram of an inventive medical institution statistics subsystem module.
FIG. 10 is a block diagram of the career exposure management subsystem module of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings by way of examples of preferred embodiments. It should be noted, however, that the numerous details set forth in the specification are merely intended to provide a thorough understanding of one or more aspects of the invention, which may be practiced without these specific details.
As shown in fig. 1, an information management system according to the present invention includes a doctor workstation subsystem, a nurse workstation subsystem, a laboratory results subsystem, a consultation subsystem, a patient using subsystem, an information transfer and docking management subsystem, a server, a medical institution statistics subsystem, a drug management subsystem, a patient referral subsystem, and an occupation exposure management subsystem. The medical institution statistics subsystem, the medicine management subsystem, the patient referral subsystem and the occupation exposure management subsystem are all connected with the server. The doctor workstation subsystem is mainly used by doctors, and the nurse workstation subsystem is mainly used by nurses. Unnecessary repeated entry is saved by automatic calling of the system through repeated information, laboratory data can be automatically filled by calling the LIS or HIS system database of the hospital, the working efficiency is remarkably improved, manual entry errors are reduced, and the labor cost is remarkably reduced.
As shown in FIG. 2, the physician workstation subsystem is used to record basic information of the patient, tuberculosis screening test result data and patient spouse information. The doctor workstation subsystem comprises a basic information management module, a follow-up visit and medication information management module, a tuberculosis screening detection management module and a spouse detection management module, wherein the basic information management module is used for inquiring and recording basic information data of a patient; the follow-up visit and medication information management module is used for recording and inquiring follow-up visit information and medication information of a patient, the tuberculosis screening detection management module is used for recording tuberculosis screening detection result data of the patient, and the spouse detection management module is used for recording and inquiring information of a patient spouse and detection result information.
As shown in fig. 3, the nurse workstation subsystem is used to register visit information, appointment visits, and patient follow-up information. The nurse workstation subsystem comprises a telephone follow-up management module, a visit registration module, a present follow-up module and a to-be-diagnosed management module, wherein the telephone follow-up management module is used for recording information related to telephone follow-up, including information which is not followed up and information which is followed up; the system comprises a consultation subsystem, a daily follow-up module, a management module and a consultation module, wherein the consultation registration module is used for recording information of personnel needing to be treated and transmitting the information to the consultation subsystem, the daily follow-up module is used for inquiring information of patients needing telephone follow-up on the same day and informing corresponding responsible nurses of short messages, and the management module is used for managing information of personnel not needing to be treated and arranging the treatment information.
As shown in fig. 4, the laboratory results subsystem is used to record and count the test results, monitoring indicators and drug resistance test result information. The laboratory result subsystem comprises a drug-resistant early warning monitoring index management module, a virology effect index management module, a drug-resistant detection result management module, a check result import module and an abnormal value reminding module, wherein the drug-resistant early warning monitoring index management module is used for recording and monitoring the drug resistance of early drugs of patients and simultaneously informing corresponding doctors of early patient data with the drug resistance by short messages, the virology effect index management module is used for recording the virology effect data of the patients and storing statistical data in a server, the drug-resistant detection result management module is used for recording and counting the detection result data of the drug-resistant patients, the check result import module imports the detection result data into the server for inquiry, and the abnormal value reminding module is used for setting the administration detection data comparison value of each drug, when abnormal data occurs, the module sends out a short message to inform doctors and nurses.
As shown in FIG. 5, the consultation subsystem is used for submitting consultation information, recording consultation process data and selection of consultation specialists. The consultation subsystem comprises a consultation application module, a consultation recording module and an expert base module, wherein the consultation application module is used for registering nurses to make appointment consultation for consultation personnel, corresponding doctors are inquired from the expert base module, consultation application data are transmitted to the consultation recording module, the consultation recording module is used for recording and storing consultation process information in the consultation process of the doctors, the consultation process information comprises video data of the consultation personnel process and diagnosis and suggestion data of the doctors, and the expert base module is used for storing the consultation expert information.
As shown in fig. 6, the patient use subsystem is used to remind the patient to take medicine, follow-up time information, and interpretation of test result information. The patient using subsystem comprises a follow-up visit reminding module, a detection result inquiring and reading module and a medicine reminding module, wherein the follow-up visit reminding module comprises nurse telephone follow-up visit and doctor home visit time arrangement and sends out voice to remind a user, the detection result inquiring and reading module is used for storing relevant detection results of different degrees and corresponding explanation data to enable the patient to inquire and read in time, and the medicine taking reminding module is used for reminding the patient to take medicines in time.
As shown in fig. 7, the information transfer and docking management subsystem is used for direct communication, information sharing and communication among the doctor workstation subsystem, the nurse workstation subsystem, the laboratory results subsystem and the consultation subsystem. The information transfer, docking and management subsystem comprises an operation log recording module, a message board module, a real-time online communication module, an internal notification and announcement module, a mail center module and a file data module, wherein the operation log recording module is used for recording distance operation log data of a doctor workstation subsystem, a nurse workstation subsystem, a laboratory result subsystem and a consultation subsystem, the message board module is used for allowing patients to leave messages for doctors and nurses or messages between doctors and nurses, the real-time online communication module is used for allowing doctors and doctors, nurses and nurses or doctors and nurses to communicate in real time, the internal notification and announcement module is used for publishing related notification data, and the mail center module is used for allowing doctors and doctors, nurses and nurses or doctors and nurses to communicate in mail, the file data module is used for uploading shared data between a hospital and a hospital or between a doctor and a doctor.
As shown in fig. 8, the server is used for storing data, updating data and inquiring data; the medical institution counting subsystem is used for counting and recording the information of the hospital with the capability of the consultation patient, the information of the relevant doctors of the hospital and the information of the medication relevant to the hospital. The drug management subsystem is used for recording and counting the using condition of the antiviral drugs and the data of drug application, use and destruction conditions of each hospital. The medicine management subsystem comprises an antiviral medicine use condition summarizing module, a pharmacy medicine dispensing module, a medicine checking and registering module, a medicine inventory management module, a medicine applying module, a prescription unit dose counting module, a medicine damage reporting/destroying module, a medicine warehousing registration module and a doctor prescription counting module, and the medicine management subsystem sets labels for each hospital and manages corresponding medicines of the hospital to enter and exit and medicines distributed to patients.
As shown in fig. 9, the medical institution statistics subsystem includes a hospital management module, a medical staff management module, an antiviral treatment plan statistics module, an antiviral treatment queue analysis report module, a treatment condition statistics module, a treatment plan statistics module, a queue analysis report module, a medication issuance statistics module, a work progress report module, and a patient information module, the hospital management module records and counts hospital information with treatment qualification, the medical staff management module is used for recording information of medical staff concerned first, the antiviral treatment plan statistics module is used for recording an antiviral treatment plan and providing inquiry for use, the treatment plan statistics module is used for counting a treatment plan and providing follow-up patient treatment inquiry, and the medication issuance statistics module is used for counting data of medications dispensed by each hospital and patient.
As shown in fig. 10, the patient referral subsystem is used for interfacing between hospitals and acquiring treatment history data of patients when the patients are transferred; the occupation exposure management subsystem is used for counting the information of occupation exposure personnel and issuing first-closing occupation subsidies. The career exposure management subsystem comprises a subsidy issuing management module, a career exposure information management module, a patient history card downloading module and a treatment condition statistics module, wherein the subsidy issuing management module is used for managing corresponding subsidy issuing conditions of career exposure personnel, the career exposure information management module is used for recording information and family information of the career exposure personnel, the patient history card downloading module is used for downloading patient treatment process data, and the treatment condition statistics module is used for summarizing all treatment data of each patient.
The foregoing is only a preferred embodiment of the invention and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the invention, and these improvements and modifications should also be construed as the protection scope of the invention.
Claims (10)
1. An information management system characterized by: the system comprises a doctor workstation subsystem, a nurse workstation subsystem, a laboratory result subsystem, a consultation subsystem, a patient use subsystem, an information transfer docking management subsystem, a server, a medical institution counting subsystem, a medicine management subsystem, a patient transfer subsystem and an occupation exposure management subsystem, wherein the doctor workstation subsystem, the nurse workstation subsystem, the laboratory result subsystem, the consultation subsystem and the patient use subsystem are connected with the server through the information transfer docking management subsystem, and the medical institution counting subsystem, the medicine management subsystem, the patient transfer subsystem and the occupation exposure management subsystem are all connected with the server;
the doctor workstation subsystem is used for recording basic information of the patient, tuberculosis screening detection result data and patient spouse information; the nurse workstation subsystem is used for registering the information of the treatment, the appointment treatment and the follow-up visit information of the patient; the laboratory result subsystem is used for recording and counting the information of the test result, the monitoring index and the drug resistance detection result; the consultation subsystem is used for submitting consultation information, recording consultation process data and selection of consultation experts; the patient using subsystem is used for reminding the patient to take medicines, follow-up visit time information and reading detection result information; the information transfer docking management subsystem is used for direct communication, information sharing and communication among the doctor workstation subsystem, the nurse workstation subsystem, the laboratory result subsystem and the consultation subsystem; the server is used for storing data, updating data and inquiring data; the medical institution counting subsystem is used for counting and recording the information of the hospital with the capability of the consultation patient, the information of the relevant doctor of the hospital and the information of the medication relevant of the hospital; the drug management subsystem is used for recording and counting the using condition of the antiviral drugs and data of drug application, use and destruction conditions of each hospital; the patient referral subsystem is used for butting and acquiring treatment history data of patients among hospitals when the patients are transferred; the occupation exposure management subsystem is used for counting the information of occupation exposure personnel and issuing first-closing occupation subsidies.
2. An information management system according to claim 1, characterized in that: the doctor workstation subsystem comprises a basic information management module, a follow-up visit and medication information management module, a tuberculosis screening detection management module and a spouse detection management module, wherein the basic information management module is used for inquiring and recording basic information data of a patient; the follow-up visit and medication information management module is used for recording and inquiring follow-up visit information and medication information of a patient, the tuberculosis screening detection management module is used for recording tuberculosis screening detection result data of the patient, and the spouse detection management module is used for recording and inquiring information of a patient spouse and detection result information.
3. An information management system according to claim 2, characterized in that: the nurse workstation subsystem comprises a telephone follow-up management module, a visit registration module, a present follow-up module and a to-be-diagnosed management module, wherein the telephone follow-up management module is used for recording information related to telephone follow-up, including information which is not followed up and information which is followed up; the system comprises a consultation subsystem, a daily follow-up module, a management module and a consultation module, wherein the consultation registration module is used for recording information of personnel needing to be treated and transmitting the information to the consultation subsystem, the daily follow-up module is used for inquiring information of patients needing telephone follow-up on the same day and informing corresponding responsible nurses of short messages, and the management module is used for managing information of personnel not needing to be treated and arranging the treatment information.
4. An information management system according to claim 3, characterized in that: the laboratory result subsystem comprises a drug-resistant early warning monitoring index management module, a virology effect index management module, a drug-resistant detection result management module, a check result import module and an abnormal value reminding module, wherein the drug-resistant early warning monitoring index management module is used for recording and monitoring the drug resistance of early drugs of patients and simultaneously informing corresponding doctors of early patient data with the drug resistance by short messages, the virology effect index management module is used for recording the virology effect data of the patients and storing statistical data in a server, the drug-resistant detection result management module is used for recording and counting the detection result data of the drug-resistant patients, the check result import module imports the detection result data into the server for inquiry, and the abnormal value reminding module is used for setting the administration detection data comparison value of each drug, when abnormal data occurs, the module sends out a short message to inform doctors and nurses.
5. An information management system according to claim 4, characterized in that: the consultation subsystem comprises a consultation application module, a consultation recording module and an expert base module, wherein the consultation application module is used for registering nurses to make appointment consultation for consultation personnel, corresponding doctors are inquired from the expert base module, consultation application data are transmitted to the consultation recording module, the consultation recording module is used for recording and storing consultation process information in the consultation process of the doctors, the consultation process information comprises video data of the consultation personnel process and diagnosis and suggestion data of the doctors, and the expert base module is used for storing the consultation expert information.
6. An information management system according to claim 5, characterized in that: the patient using subsystem comprises a follow-up visit reminding module, a detection result inquiring and reading module and a medicine reminding module, wherein the follow-up visit reminding module comprises nurse telephone follow-up visit and doctor home visit time arrangement and sends out voice to remind a user, the detection result inquiring and reading module is used for storing relevant detection results of different degrees and corresponding explanation data to enable the patient to inquire and read in time, and the medicine taking reminding module is used for reminding the patient to take medicines in time.
7. An information management system according to claim 6, characterized in that: the information transfer, docking and management subsystem comprises an operation log recording module, a message board module, a real-time online communication module, an internal notification and announcement module, a mail center module and a file data module, wherein the operation log recording module is used for recording distance operation log data of a doctor workstation subsystem, a nurse workstation subsystem, a laboratory result subsystem and a consultation subsystem, the message board module is used for allowing patients to leave messages for doctors and nurses or messages between doctors and nurses, the real-time online communication module is used for allowing doctors and doctors, nurses and nurses or doctors and nurses to communicate in real time, the internal notification and announcement module is used for publishing related notification data, and the mail center module is used for allowing doctors and doctors, nurses and nurses or doctors and nurses to communicate in mail, the file data module is used for uploading shared data between a hospital and a hospital or between a doctor and a doctor.
8. An information management system according to claim 7, characterized in that: the medical institution statistics subsystem comprises a hospital management module, a medical staff management module, an antiviral treatment scheme statistics module, an antiviral treatment queue analysis report module, a treatment condition statistics module, a treatment scheme statistics module, a queue analysis report module, a drug delivery statistics module, a work progress report module and a patient information module, the hospital management module records and counts hospital information with treatment quality, the medical staff management module is used for recording information of medical staff related to the medical staff firstly, the antiviral treatment scheme statistics module is used for recording an antiviral treatment scheme and inquiring, the treatment scheme statistics module is used for counting a treatment scheme and inquiring subsequent patients, and the drug delivery statistics module is used for counting data of drugs distributed by each hospital and each patient.
9. An information management system according to claim 8, characterized in that: the medicine management subsystem comprises an antiviral medicine use condition summarizing module, a pharmacy medicine dispensing module, a medicine checking and registering module, a medicine inventory management module, a medicine applying module, a prescription unit dose counting module, a medicine damage reporting/destroying module, a medicine warehousing registration module and a doctor prescription counting module, and the medicine management subsystem sets labels for each hospital and manages corresponding medicines of the hospital to enter and exit and medicines distributed to patients.
10. An information management system according to claim 9, characterized in that: the career exposure management subsystem comprises a subsidy issuing management module, a career exposure information management module, a patient history card downloading module and a treatment condition statistics module, wherein the subsidy issuing management module is used for managing corresponding subsidy issuing conditions of career exposure personnel, the career exposure information management module is used for recording information and family information of the career exposure personnel, the patient history card downloading module is used for downloading patient treatment process data, and the treatment condition statistics module is used for summarizing all treatment data of each patient.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010649882.XA CN111755132B (en) | 2020-07-08 | 2020-07-08 | Information management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010649882.XA CN111755132B (en) | 2020-07-08 | 2020-07-08 | Information management system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111755132A true CN111755132A (en) | 2020-10-09 |
| CN111755132B CN111755132B (en) | 2024-01-05 |
Family
ID=72680126
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010649882.XA Active CN111755132B (en) | 2020-07-08 | 2020-07-08 | Information management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111755132B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112365378A (en) * | 2020-11-10 | 2021-02-12 | 上海凌立健康管理股份有限公司 | Docking system interacting with HIS (hardware-in-the-system) |
| CN113724888A (en) * | 2021-08-21 | 2021-11-30 | 中国疾病预防控制中心病毒病预防控制所 | Intelligent health management platform for monitoring and early warning of chronic hepatitis B infection |
| CN114496182A (en) * | 2021-12-14 | 2022-05-13 | 中山大学附属第一医院 | Nursing home service method and system based on artificial intelligence terminal |
| CN117524443A (en) * | 2024-01-04 | 2024-02-06 | 遂宁市中心医院 | Data analysis-based severe medical department patient monitoring and management system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104750997A (en) * | 2015-04-08 | 2015-07-01 | 南京吉星兆健康信息咨询有限公司 | Diagnosis and treatment business realizing method based on mobile internet |
| CN105138839A (en) * | 2015-08-25 | 2015-12-09 | 张建勇 | Medical and health management system based on big data |
| CN105447655A (en) * | 2015-12-29 | 2016-03-30 | 成都慧生智医疗技术有限公司 | Clinical medical care quality management system |
| CN106295102A (en) * | 2015-05-21 | 2017-01-04 | 杭州微云通信技术有限公司 | A kind of intelligent medical treatment system and method inviting patient based on medical personnel |
-
2020
- 2020-07-08 CN CN202010649882.XA patent/CN111755132B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104750997A (en) * | 2015-04-08 | 2015-07-01 | 南京吉星兆健康信息咨询有限公司 | Diagnosis and treatment business realizing method based on mobile internet |
| CN106295102A (en) * | 2015-05-21 | 2017-01-04 | 杭州微云通信技术有限公司 | A kind of intelligent medical treatment system and method inviting patient based on medical personnel |
| CN105138839A (en) * | 2015-08-25 | 2015-12-09 | 张建勇 | Medical and health management system based on big data |
| CN105447655A (en) * | 2015-12-29 | 2016-03-30 | 成都慧生智医疗技术有限公司 | Clinical medical care quality management system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112365378A (en) * | 2020-11-10 | 2021-02-12 | 上海凌立健康管理股份有限公司 | Docking system interacting with HIS (hardware-in-the-system) |
| CN113724888A (en) * | 2021-08-21 | 2021-11-30 | 中国疾病预防控制中心病毒病预防控制所 | Intelligent health management platform for monitoring and early warning of chronic hepatitis B infection |
| CN114496182A (en) * | 2021-12-14 | 2022-05-13 | 中山大学附属第一医院 | Nursing home service method and system based on artificial intelligence terminal |
| CN117524443A (en) * | 2024-01-04 | 2024-02-06 | 遂宁市中心医院 | Data analysis-based severe medical department patient monitoring and management system |
| CN117524443B (en) * | 2024-01-04 | 2024-03-22 | 遂宁市中心医院 | Data analysis-based severe medical department patient monitoring and management system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111755132B (en) | 2024-01-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111755132B (en) | Information management system | |
| Costa et al. | Lean healthcare in developing countries: evidence from Brazilian hospitals | |
| US20200294642A1 (en) | Methods and systems for a pharmacological tracking and reporting platform | |
| US20200051679A1 (en) | Methods and systems for a pharmacological tracking and reporting platform | |
| US8548824B1 (en) | Systems and methods for notifying of duplicate product prescriptions | |
| Raglan et al. | Electronic health record adoption among obstetrician/gynecologists in the United States: physician practices and satisfaction | |
| CN111695836B (en) | Clinical trial online operation management and control integrated system | |
| Saurin et al. | Towards a resilient and lean health care | |
| CN104318178A (en) | Medical treatment information security system | |
| CN112509678B (en) | Anesthesia information management system and courtyard comprehensive information management system | |
| Bright et al. | The Clinical Services Documentation (CSD) system for documenting clinical pharmacists' services | |
| Hoch et al. | Countrywide computer alerts to community physicians improve potassium testing in patients receiving diuretics | |
| Cherry et al. | Telemedicine in remote Australia: The Royal Flying Doctor Service (RFDS) medical chest program as a marker of remote health | |
| Fung et al. | Comparison of electronic pharmacy prescription records with manually collected medication histories in an emergency department | |
| CN109741808A (en) | A kind of medical information management application platform system | |
| Mazur et al. | An empirical study for medication delivery improvement based on healthcare professionals’ perceptions of medication delivery system | |
| CN111354447A (en) | Medical information management system, terminal and storage medium | |
| Ogbonna et al. | Acceptance and barrier of electronic health records In a Tertiary hospital in Nigeria | |
| Lee | Current status and future challenges of patient safety improvement in Korea | |
| CN111798959A (en) | Medicine electronic management system and working method thereof | |
| Galt et al. | Best practices in medication safety: areas for improvement in the primary care physician's office | |
| Gauthier-Wetzel | Barcode Medication Administration Software Technology Use in the Emergency Department and Medication Error Rates | |
| WO2009005372A1 (en) | Monitoring of health care data | |
| Mosedale | How can we reduce medication errors in veterinary practice? | |
| Karami | Pharmacy informatics: A reform at drug consumption management in healthcare |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 545005 No.8, Yangjiaoshan Road, Yufeng District, Liuzhou City, Guangxi Zhuang Autonomous Region Applicant after: Chest Hospital of Guangxi Zhuang Autonomous Region (The Fourth People's Hospital of Guangxi Zhuang Autonomous Region, Tuberculosis Hospital of Guangxi Zhuang Autonomous Region) Address before: 545005 No.8, Yangjiaoshan Road, Yufeng District, Liuzhou City, Guangxi Zhuang Autonomous Region Applicant before: Longtan Hospital of Guangxi Zhuang Autonomous Region |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |