CN113611382A - Medical data demonstration system for preoperative visit of oncology department - Google Patents
Medical data demonstration system for preoperative visit of oncology department Download PDFInfo
- Publication number
- CN113611382A CN113611382A CN202110901852.8A CN202110901852A CN113611382A CN 113611382 A CN113611382 A CN 113611382A CN 202110901852 A CN202110901852 A CN 202110901852A CN 113611382 A CN113611382 A CN 113611382A
- Authority
- CN
- China
- Prior art keywords
- module
- data
- electrically connected
- patient
- preoperative
- 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.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 claims abstract description 31
- 206010002091 Anaesthesia Diseases 0.000 claims abstract description 28
- 230000037005 anaesthesia Effects 0.000 claims abstract description 28
- 238000000554 physical therapy Methods 0.000 claims abstract description 21
- 230000004962 physiological condition Effects 0.000 claims abstract description 17
- 230000005540 biological transmission Effects 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 10
- 201000010099 disease Diseases 0.000 claims description 18
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 18
- 238000013479 data entry Methods 0.000 claims description 14
- 238000001356 surgical procedure Methods 0.000 claims description 10
- 230000003993 interaction Effects 0.000 claims description 8
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 claims description 6
- 239000008280 blood Substances 0.000 claims description 6
- 210000004369 blood Anatomy 0.000 claims description 6
- 239000008103 glucose Substances 0.000 claims description 6
- 230000002980 postoperative effect Effects 0.000 claims description 6
- 238000003745 diagnosis Methods 0.000 claims description 4
- 239000003814 drug Substances 0.000 claims description 4
- 229940079593 drug Drugs 0.000 claims description 4
- 230000036541 health Effects 0.000 claims description 4
- 230000035479 physiological effects, processes and functions Effects 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 4
- 230000036772 blood pressure Effects 0.000 claims description 3
- 230000036760 body temperature Effects 0.000 claims description 3
- 230000002612 cardiopulmonary effect Effects 0.000 claims description 3
- 239000003792 electrolyte Substances 0.000 claims description 3
- 230000006870 function Effects 0.000 claims description 3
- 238000001727 in vivo Methods 0.000 claims description 3
- 230000003908 liver function Effects 0.000 claims description 3
- 230000001737 promoting effect Effects 0.000 claims 1
- 238000011084 recovery Methods 0.000 abstract description 3
- 230000000474 nursing effect Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 208000019901 Anxiety disease Diseases 0.000 description 1
- 238000009098 adjuvant therapy Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000036506 anxiety Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000036407 pain Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- 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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
-
- 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
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- General Business, Economics & Management (AREA)
- Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses a medical data demonstration system for preoperative visit in oncology, which belongs to the technical field of preoperative visit medical data demonstration systems, wherein a data comparison processing module is electrically connected with an illness state evaluation and prediction module, the illness state evaluation and prediction module is electrically connected with a physiotherapy anesthesia evaluation module, the physiotherapy anesthesia evaluation module is electrically connected with an operation auxiliary treatment suggestion module, the operation auxiliary treatment suggestion module is electrically connected with a data transmission module, the data transmission module is electrically connected with a wireless network local area network system bus in an output mode, the wireless network local area network system bus is electrically connected with a data retrieval module, the data retrieval module is electrically connected with a patient physiological condition information acquisition module in an output mode, the optimal scheme of relevant preoperative preparation and anesthesia operation is formulated in advance, and meanwhile, the doctor-patient coordination efficiency of a patient in the operation is improved, and can improve the recovery efficiency of the patient after the operation.
Description
Technical Field
The invention relates to the technical field of a medical data demonstration system for preoperative visits, in particular to a medical data demonstration system for preoperative visits in oncology.
Background
Before a hospital performs a surgical operation on a patient, nursing staff related to the surgical operation needs to visit the patient before the operation, the purpose is to understand the condition of the patient, communicate with the patient to eliminate anxiety and fear of the patient due to the unknown surgery, so as to improve the cooperation degree of nurses and patients in the operation, be beneficial to increasing the tolerance of the patients to the surgical operation, shortening the time of the surgical operation, relieving the pain of the patients and ensuring the smooth operation, in the process of preoperative visit, an important demonstration link is to determine the contents to be demonstrated to the patient according to the actual physiological condition of the patient, the existing solution is that the nursing staff knows the medical history, physiological parameters and examination results of the patient in advance, then generalizing and understanding the relevant data, finally dictating or transferring to the patient during the preoperative visit, the relevant data includes some notes and basic knowledge of the surgical procedure to be performed by the patient.
However, when the prior art medical treatment advice is carried out in a hospital, the prior art medical treatment advice is limited by the service level of a nursing staff, the nursing staff summarizes and understands the obtained related information which may not be the most preferable prior art visit information, so that the optimal demonstration effect is difficult to achieve, and is limited by the expression ability of the nursing staff, the presentation of the related information by the nursing staff may not achieve the ideal effect, or even may cause misunderstanding of a patient, which easily increases the tension of the patient, so that the patient cannot completely and correctly understand the real medical treatment advice of the nursing staff, and for this reason, a medical data demonstration system for the prior art medical treatment advice in the oncology department is provided.
Disclosure of Invention
The invention aims to provide a medical data demonstration system for preoperative visit of oncology department, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a medical data demonstration system for preoperative visit of oncology department comprises a human-computer interaction input module, wherein the human-computer interaction input module is electrically connected with a patient physiological condition information acquisition module in an output mode, the physiological condition information acquisition module is electrically connected with a data comparison processing module in an output mode, the data comparison processing module is electrically connected with an illness state evaluation and prediction module in an output mode, the illness state evaluation and prediction module is electrically connected with a physiotherapy anesthesia evaluation module in an output mode, the physiotherapy anesthesia evaluation module is electrically connected with an operation auxiliary treatment suggestion module in an output mode, the operation auxiliary treatment suggestion module is electrically connected with a data transmission module in an output mode, the data transmission module is electrically connected with a wireless network local area network system bus in an output mode, the wireless network local network system bus is electrically connected with a demonstration module in an output mode, and the wireless network local network system bus is electrically connected with a data retrieval module in an output mode, the data calling module is electrically connected with the patient physiological condition information acquisition module in an output mode, and the wireless local area network system bus is electrically connected with the data cloud storage library in an output mode.
Preferably, the data retrieval module comprises a patient medical record data entry module, an anesthesia evaluation grade data entry module and an operation grade data retrieval module.
Preferably, the patient medical record data entry module comprises a disease condition diagnosis unit, a surgical treatment recording unit and a physical therapy medication data unit.
Preferably, the surgery auxiliary treatment suggesting module includes a preoperative grade evaluating unit, a grade scheme data determining unit and a postoperative physical therapy scheme determining unit.
Preferably, the patient physiological condition information acquisition module includes physiological information detected on site through detection equipment and previous medical record disease information of the patient, the detection equipment is an electronic sphygmomanometer and a reflection-type blood glucose meter, and the physiological parameter information includes: blood pressure parameters, blood glucose parameters, body temperature parameters, in vivo electrolyte parameters, cardiopulmonary function parameters, and liver function parameters.
Preferably, the grade plan data determination unit includes a preoperative health education popularization unit and a preoperative care propaganda unit, the preoperative care propaganda unit is used for providing twenty-four hours of automatic help for the patient about anesthesia related problems or care, and the preoperative health education popularization unit is used for informing the patient of preoperative preparation to relieve preoperative stress.
Compared with the prior art, the invention has the beneficial effects that:
the invention has reasonable structural design, the data calling module can acquire the preoperative medical history, the physiological condition and other information of the patient from the data cloud storage library through the wireless LAN system bus, so that a doctor can check the electronic medical record of the patient, can quickly know the physical condition of the patient and the previous physical condition information, compares and fuses the real-time monitored physiological information and the previous medical record through the data comparison processing module, then sends a fused data packet to the disease condition evaluation prediction module to generate the disease condition information evaluation prediction according to the monitored physiological parameters, and determines the grade of the disease condition information, so that the physiotherapy anesthesia evaluation module can timely make related preoperative preparation and anesthesia schemes according to the grade of the disease condition information, and thus, the evaluation and prediction of related indexes of anesthesia are carried out according to the preoperative visit data and the data submitted by the doctor, the preparation is made for guaranteeing the perioperative safety of the patient, then the operation auxiliary treatment suggestion module can provide a standard preoperative auxiliary treatment suggestion scheme according to the physiological condition of the patient, therefore, the preoperative visit demonstration data matched with the illness state information is automatically found out, so that the defect of low efficiency possibly caused by limited personal capacity of nursing personnel is avoided in the demonstration link of preoperative visit through the demonstration module, the demonstration efficiency of preoperative visit is improved, by accurately acquiring the related medical history information of the patient and integrating the body condition information of the patient acquired in real time, the optimal scheme reservation can be conveniently carried out on the patient by combining historical data, the effect of the medical staff on the optimal preoperative visit of the patient is improved, the optimal scheme of the related preoperative preparation and the anesthesia operation is formulated in advance, meanwhile, the cooperation efficiency of the patient in the operation is improved, and the recovery efficiency of the patient after the operation can be improved.
Drawings
FIG. 1 is a schematic diagram of the operation of the present invention;
FIG. 2 is a block diagram of a data retrieval module according to the present invention;
FIG. 3 is a block diagram of a patient medical record data entry module of the present invention;
FIG. 4 is a block diagram of an assisted surgical treatment recommendation module according to the present invention.
In the figure: 1. a human-computer interaction input module; 2. a data calling module; 21. a patient medical record data entry module; 211. a disease condition diagnosis unit; 212. a surgical treatment recording unit; 213. a physical therapy medication data unit; 22. an anesthesia evaluation grade data entry module; 23. a surgery grade data calling module; 3. a physiological condition information acquisition module; 4. a data comparison processing module; 5. a disease condition evaluation prediction module; 6. a physiotherapy anesthesia evaluation module; 7. a surgical adjuvant therapy recommendation module; 71. a preoperative grade assessment unit; 72. a rank scheme data determination unit; 73. a postoperative physical therapy regimen determination unit; 8. a data transmission module; 9. a wireless local area network system bus; 10. a data repository cloud; 11. and a demonstration module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a medical data demonstration system for preoperative visit of oncology department comprises a human-computer interaction input module 1, wherein the human-computer interaction input module 1 is electrically connected with a patient physiological condition information acquisition module 3 in an output mode, the physiological condition information acquisition module 3 is electrically connected with a data comparison processing module 4 in an output mode, the data comparison processing module 4 is electrically connected with an illness state evaluation prediction module 5 in an output mode, the illness state evaluation prediction module 5 is electrically connected with a physiotherapy anesthesia evaluation module 6 in an output mode, the physiotherapy anesthesia evaluation module 6 is electrically connected with an operation auxiliary treatment suggestion module 7 in an output mode, the operation auxiliary treatment suggestion module 7 is electrically connected with a data transmission module 8 in an output mode, the data transmission module 8 is electrically connected with a wireless network local area network system bus 9 in an output mode, the wireless network local network system bus 9 is electrically connected with a demonstration module 11 in an output mode, and the wireless network local network system bus 9 is electrically connected with a data retrieval module 2 in an output mode, the data calling module 2 is electrically connected with the patient physiological condition information acquisition module 3 in an output mode, and the wireless local area network system bus 9 is electrically connected with the data cloud storage library 10 in an output mode.
Referring to fig. 2, the data retrieval module 2 includes a patient medical record data entry module 21, an anesthesia evaluation grade data entry module 22 and an operation grade data retrieval module 23, data import of the patient medical record is realized through the patient medical record data entry module 21, the anesthesia evaluation grade and the anesthesia dosage are determined according to the disease condition requirement through the anesthesia evaluation grade data entry module 22, and the difficulty grade of the operation is determined through the operation grade data retrieval module 23;
referring to fig. 3, the patient medical record data entry module 21 includes a disease diagnosis unit 211, a surgical treatment recording unit 212, and a physical therapy medication data unit 213;
referring to fig. 4, the operation-assisted treatment suggesting module 7 includes a preoperative grade evaluating unit 71, a grade scheme data determining unit 72, and a postoperative physical therapy plan determining unit 73, the preoperative grade evaluating unit 71 can perform optimal plan reservation for the patient, the grade scheme data determining unit 72 determines the operation grade scheme, and then the postoperative physical therapy plan determining unit 73 can determine the most reasonable postoperative physical therapy plan according to the grade of the operation;
patient's physiology situation information acquisition module 3 includes the on-the-spot physiology information and the patient's case history disease information of passing through the on-the-spot check-out equipment field test of check out test set, and check out test set is electrosphygmomanometer, reflection-type blood glucose meter, and physiological parameter information includes: blood pressure parameters, blood glucose parameters, body temperature parameters, in vivo electrolyte parameters, cardiopulmonary function parameters, and liver function parameters;
the grade plan data determination unit 72 includes a preoperative health education popularization unit for providing twenty-four hours of automated assistance to the patient with respect to anesthesia related questions or notes and a preoperative care propaganda unit for informing the patient of preoperative preparation to relieve preoperative stress.
The working principle is as follows: the human-computer interaction input module 1 can realize the input of basic information of a patient, and the data calling module 2 can acquire information such as preoperative medical history, physiological condition and the like of the patient from the data cloud storage 10 through the wireless LAN system bus 9, so that a doctor can check the electronic medical record of the patient and can quickly know the physical condition of the patient and the previous physical condition information, so that the physiological information monitored in real time and the previous medical record are compared and fused through the data comparison processing module 4, then the fused data packet is sent to the disease condition evaluation prediction module 5 to generate the disease condition information evaluation prediction according to the monitored physiological parameters, the grade of the disease condition information is determined, so that the physiotherapy anesthesia evaluation module 6 can timely make related preoperative preparation and anesthesia schemes according to the disease condition information grade, and thus various anesthesia related indexes are evaluated and predicted according to preoperative visit data and doctor submitted data, the preoperative visit demonstration system is prepared for guaranteeing the perioperative safety of a patient, then the preoperative auxiliary treatment suggestion module 7 can provide a standard preoperative auxiliary treatment suggestion scheme according to the physiological condition of the patient, preoperative visit demonstration data matched with disease condition information are automatically found out, preoperative visit information videos and the scheme are transmitted to the demonstration module 11 through the wireless network local area network system bus 9 through the data transmission module 8 for visual display, so that the defect of low efficiency possibly caused by limited personal capacity of nursing staff is avoided in the preoperative visit demonstration link through the demonstration module 11, the demonstration efficiency of preoperative visit is improved, the relevant medical history information of the patient is accurately obtained, the patient body condition information collected in real time is collected, the optimal scheme reservation can be conveniently carried out on the patient by combining historical data, and the optimal preoperative visit effect of the medical staff to the patient is improved, the optimal scheme of the related preoperative preparation and the anesthesia operation is formulated in advance, the cooperation efficiency of doctors and patients in the operation of the patient is improved, and the recovery efficiency of the patient after the operation can be improved.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A medical data demonstration system for preoperative interview in oncology is characterized in that: the system comprises a human-computer interaction input module (1), wherein the human-computer interaction input module (1) is electrically connected with a patient physiological condition information acquisition module (3) in an output connection mode, the physiological condition information acquisition module (3) is electrically connected with a data comparison processing module (4) in an output connection mode, the data comparison processing module (4) is electrically connected with an illness state evaluation prediction module (5), the illness state evaluation prediction module (5) is electrically connected with a physiotherapy anesthesia evaluation module (6) in an output connection mode, the physiotherapy anesthesia evaluation module (6) is electrically connected with an operation auxiliary treatment suggestion module (7), the operation auxiliary treatment suggestion module (7) is electrically connected with a data transmission module (8) in an output connection mode, the data transmission module (8) is electrically connected with a wireless network local area network system bus (9) in an output connection mode, and the wireless network local network system bus (9) is electrically connected with a demonstration module (11) in an output connection mode, the wireless network local area network system bus (9) is electrically connected with the data calling module (2) in an output mode, the data calling module (2) is electrically connected with the patient physiological condition information acquisition module (3) in an output mode, and the wireless network local area network system bus (9) is electrically connected with the data cloud storage library (10) in an output mode.
2. The system of claim 1, wherein the medical data presentation system comprises: the data retrieval module (2) comprises a patient medical record data entry module (21), an anesthesia evaluation grade data entry module (22) and an operation grade data retrieval module (23).
3. The system of claim 2, wherein the medical data presentation system for an oncology department for preoperative interview comprises: the patient medical record data entry module (21) comprises a disease condition diagnosis unit (211), a surgical treatment recording unit (212) and a physical therapy medication data unit (213).
4. The system of claim 1, wherein the medical data presentation system comprises: the surgery auxiliary treatment suggesting module (7) comprises a preoperative grade evaluating unit (71), a grade scheme data determining unit (72) and a postoperative physical therapy scheme determining unit (73).
5. The system of claim 1, wherein the medical data presentation system comprises: patient's physiology situation information acquisition module (3) are including the on-the-spot physiology information and the case history disease information of patient in the past of passing through the on-the-spot check-out equipment field test, and check-out equipment is electrosphygmomanometer, reflection-type blood glucose measuring apparatu, and physiological parameter information includes: blood pressure parameters, blood glucose parameters, body temperature parameters, in vivo electrolyte parameters, cardiopulmonary function parameters, and liver function parameters.
6. The system of claim 4, wherein the medical data presentation system comprises: the grade plan data determination unit (72) includes a preoperative health education popularization unit for providing twenty-four hour automated assistance to the patient with respect to anesthesia related issues or notes and a preoperative care promotional unit for informing the patient of preoperative preparation to relieve preoperative stress.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110901852.8A CN113611382A (en) | 2021-08-06 | 2021-08-06 | Medical data demonstration system for preoperative visit of oncology department |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110901852.8A CN113611382A (en) | 2021-08-06 | 2021-08-06 | Medical data demonstration system for preoperative visit of oncology department |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113611382A true CN113611382A (en) | 2021-11-05 |
Family
ID=78339679
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110901852.8A Pending CN113611382A (en) | 2021-08-06 | 2021-08-06 | Medical data demonstration system for preoperative visit of oncology department |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113611382A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268813A (en) * | 2014-09-02 | 2015-01-07 | 贵州省人民医院 | Medical data demonstration method and system for preoperative visit |
| CN106096317A (en) * | 2016-07-14 | 2016-11-09 | 王存金 | A kind of preoperative anesthesia is made a house call system |
| CN111009322A (en) * | 2019-10-21 | 2020-04-14 | 四川大学华西医院 | Perioperative risk assessment and clinical decision intelligent auxiliary system |
| CN111128324A (en) * | 2019-12-19 | 2020-05-08 | 上海医芯智能科技有限公司 | Preoperative visit and anesthesia evaluation information system software |
| CN111554365A (en) * | 2019-03-20 | 2020-08-18 | 华中科技大学同济医学院附属协和医院 | Chronic disease comprehensive service platform |
| CN112349365A (en) * | 2020-11-02 | 2021-02-09 | 山东华码软件有限公司 | Whole-course tracking system for treatment information of surgical operation patient |
-
2021
- 2021-08-06 CN CN202110901852.8A patent/CN113611382A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268813A (en) * | 2014-09-02 | 2015-01-07 | 贵州省人民医院 | Medical data demonstration method and system for preoperative visit |
| CN106096317A (en) * | 2016-07-14 | 2016-11-09 | 王存金 | A kind of preoperative anesthesia is made a house call system |
| CN111554365A (en) * | 2019-03-20 | 2020-08-18 | 华中科技大学同济医学院附属协和医院 | Chronic disease comprehensive service platform |
| CN111009322A (en) * | 2019-10-21 | 2020-04-14 | 四川大学华西医院 | Perioperative risk assessment and clinical decision intelligent auxiliary system |
| CN111128324A (en) * | 2019-12-19 | 2020-05-08 | 上海医芯智能科技有限公司 | Preoperative visit and anesthesia evaluation information system software |
| CN112349365A (en) * | 2020-11-02 | 2021-02-09 | 山东华码软件有限公司 | Whole-course tracking system for treatment information of surgical operation patient |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| van der Linden et al. | Diagnostic accuracy of emergency nurse practitioners versus physicians related to minor illnesses and injuries | |
| US9946840B1 (en) | Systems and methods for assessing staffing levels and predicting patient outcomes | |
| Keene et al. | The effect of the quality of vital sign recording on clinical decision making in a regional acute care trauma ward | |
| JPH0928682A (en) | Personal health care administration system | |
| US20180060518A1 (en) | Electronic community medical marijuana network | |
| JP2019021136A (en) | Medical information providing apparatus, operation method of medical information providing apparatus, and medical information providing program | |
| TW201430756A (en) | Ward cloud system | |
| KR20080004125A (en) | Clinical decision support system | |
| CA2905837A1 (en) | System and methods for providing medical care algorithms to a user | |
| CN111128324A (en) | Preoperative visit and anesthesia evaluation information system software | |
| TWI633513B (en) | Telehealth system and method thereof | |
| CN113611382A (en) | Medical data demonstration system for preoperative visit of oncology department | |
| CN110570932A (en) | Multi-parameter clinical mobile physiological measurement management method and system | |
| Amachi-Choqque et al. | IoT system for vital signs monitoring in suspicious cases of Covid-19 | |
| Monteiro et al. | FHIR based interoperability of medical devices | |
| CN113130064B (en) | Data acquisition method and device | |
| Omboni | Digital Health and Telemedicine for Hypertension | |
| Kumar et al. | The Role of IOT in Health/Patient | |
| CN114305916B (en) | Automatic identification of pressure damage | |
| KR20120078451A (en) | Network medical diagnostic system and the method thereof | |
| OMBONI | 3232 Digital Health and Telemedicine for | |
| Parrinello et al. | Analysis of ambulatory nursing practice. | |
| CN116825297A (en) | Medical management method and system based on Internet of things platform | |
| CN118280555A (en) | Cerebral apoplexy data processing method based on multi-mode semantic fusion | |
| Alwally et al. | Arduino & IoT Based Health Surveillance Systems: A Review |
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 |