CN112820369A - Anorectal surgery information management system based on big data - Google Patents

Anorectal surgery information management system based on big data Download PDF

Info

Publication number
CN112820369A
CN112820369A CN202110146039.4A CN202110146039A CN112820369A CN 112820369 A CN112820369 A CN 112820369A CN 202110146039 A CN202110146039 A CN 202110146039A CN 112820369 A CN112820369 A CN 112820369A
Authority
CN
China
Prior art keywords
information
patient
module
hospital
diagnosis
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
Application number
CN202110146039.4A
Other languages
Chinese (zh)
Other versions
CN112820369B (en
Inventor
赵培娜
高宗跃
刘约瑟
周晓丽
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Henan University of Traditional Chinese Medicine HUTCM
Original Assignee
Henan University of Traditional Chinese Medicine HUTCM
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Henan University of Traditional Chinese Medicine HUTCM filed Critical Henan University of Traditional Chinese Medicine HUTCM
Priority to CN202110146039.4A priority Critical patent/CN112820369B/en
Publication of CN112820369A publication Critical patent/CN112820369A/en
Application granted granted Critical
Publication of CN112820369B publication Critical patent/CN112820369B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10ICT 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
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Chemical & Material Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Medicinal Chemistry (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The invention discloses an anorectal surgery information management system based on big data, which comprises a control center, a storage module, a reminding module, a hospital subsystem, a hospital information management platform, a hospital information input end and a patient information input end, wherein the hospital subsystem and the hospital information management platform collect treatment information of a patient in a surgical treatment process, screen the treatment information by the hospital information input end and send the screened information to the control center, the control center sets a postoperative recovery guide for postoperative recovery guidance of the patient after discharge, the patient information input end is used for collecting the postoperative recovery information and uploading the postoperative recovery information to the control center, the control center analyzes and calculates recorded contents, a doctor can judge the recovery condition of the operation by referring to a medical advice compliance index, the control center records the treatment process for reference of the doctor so as to quickly determine a treatment scheme, through the guidance of the recovery process of the patient, the hospitalization time is shortened, and the medical resources are saved.

Description

Anorectal surgery information management system based on big data
Technical Field
The invention relates to the technical field of big data, in particular to an anorectal surgery information management system based on big data.
Background
With the continuous progress of science and technology, the information integration degree of a hospital information management platform is continuously improved, better medical service is provided for patients through information sharing of a plurality of subsystems such as a clinical laboratory information system, an ultrasonic information system, a radiation information system, a medical image storage, transmission and processing system and the like, but electronic medical record information of different hospitals is not communicated, so that doctors cannot quickly know the basic condition, the past history, the allergic history, the history and the like of the patients when the patients visit in different hospitals, the time consumption, the labor consumption and the efficiency are low, considerable medical potential hazards are brought to accurate diagnosis of the doctors, anorectal surgery is a clinical department which treats tumors, traumas and other diseases at anus and large intestine parts by taking an operation as a main method, the preoperative, intraoperative and postoperative work of general surgery are important, and postoperative work are important, and the recovery of postoperative patients is also influenced by various factors after the operation is successfully completed, many patients and family members lack health care knowledge, sometimes do some behaviors which are not beneficial to body recovery after the operation, and can not strictly abide by medical advice, and especially some patients take wrong medicines because of carelessness, which can generate bad influence on the recovery after the operation.
Disclosure of Invention
In view of the above situation and in order to overcome the defects of the prior art, the invention aims to provide an anorectal surgery information management system based on big data, wherein a control center obtains intuitive parameters for reference through comparative analysis of the recorded content of a patient information input end and hospital discharge advice information, provides a diagnosis basis for doctors, and ensures the physical recovery of patients by monitoring postoperative recovery, and when patients visit different hospitals, the doctors can quickly know the conditions of the patients through health information records, so that the time of visiting the patients is saved.
The technical scheme includes that the anorectal surgery information management system based on big data comprises a control center, a storage module, a reminding module, a hospital subsystem, a hospital information management platform, a hospital information input end and a patient information input end, wherein the hospital subsystem comprises an information input subsystem, an examination subsystem and a diagnosis and treatment subsystem, the hospital information input module comprises an information screening module, a doctor-seeing recording module and a block chain module, the patient information input end comprises a medicine recording module, a diet module, a rehabilitation module and a health knowledge module, and the control center comprises an analysis module, an information calling module, an information receiving module and an information sending module;
the system management process specifically comprises the following steps:
1) the nurse inputs the identity information of the patient through the information input subsystem of the hospital subsystem, the examination subsystem performs physical examination on the patient and sends the examination result to the diagnosis and treatment subsystem, and the diagnosis and treatment doctor inquires the state of an illness and diagnoses the state of the illness of the patient through the diagnosis and treatment subsystem;
2) when a patient is in hospital and is subjected to surgical treatment, the hospital information management platform can acquire the treatment information of each port of the hospital corresponding to the identity information of the patient, wherein the treatment information comprises diagnosis information, electronic medical record information, examination information, hospitalization information, payment information and discharge medical advice information, and after the patient is discharged, the hospital information management platform sends the treatment information of the patient to the hospital information input end;
3) after the hospital information input end receives the patient information, the information screening module screens the received information, and uploads the screened diagnosis information, examination information and hospital discharge advice information to the control center, the information receiving module of the control center receives the diagnosis information, the examination information and the hospital discharge advice information, then sends the hospital discharge advice information to the analysis module, sends the diagnosis information to the information calling module, calls the health advice information matched with the disease types in the diagnosis information from the storage module by the information calling module, and sends the health advice information to the analysis module, and the analysis module makes a postoperative recovery guide according to the health advice information and the hospital discharge advice information, and sends the postoperative recovery guide to the patient information input end;
4) after the patient information input end receives the postoperative recovery guide, the postoperative recovery guide is stored in the health knowledge module, the patient can perform rehabilitation by referring to the postoperative recovery guide, the medicine recording module records the medicine taking time, the medicine amount and the medicine name of the patient, the diet module records the diet type and the food consumption of the patient, the rehabilitation module records the postoperative exercise time and the exercise amount, the patient information input end uploads the recorded contents recorded by the medicine recording module, the diet module and the rehabilitation module to the control center, the analysis module of the control center analyzes and compares the uploaded recorded contents with the postoperative recovery guide to obtain a medical advice compliance index, the medical advice compliance index represents the degree of compliance of the medical advice, and when the patient performs secondary postoperative review, a doctor can judge the recovery condition of the operation by referring to the medical advice compliance index;
5) the patient resumes completely, the hospital subsystem sends the patient signal of healing up to control center, control center carries out the information to patient's the process of treating diseases and gathers, with patient's diagnostic information record in the block chain that matches with patient's identity information, when the patient falls ill next time, the doctor can directly utilize patient's identity information to transfer all health information records of patient, health information record includes diagnostic information and allergic history, only the doctor of formal hospital has the authority of looking over, the authority of looking over is that control center stores the formal hospital in storage module in advance.
An analysis module of the control center formulates a postoperative recovery guide according to hospital discharge medical advice information and health consultation information, and analyzes and compares the recorded content recorded by the patient information input end with the postoperative recovery guide to obtain a medical advice adherence index, wherein the specific analysis process is as follows:
the information calling module determines the type of the illness of the patient according to the diagnosis information, determines the number x of the illness type, and calls health consultation information matched with the disease type in the diagnosis information from the storage module according to the number x;
step two, the analysis module determines the type s of the medicine eaten after the operation according to the hospital discharge advice informationiWherein i represents the number of types of medicines taken, and the medicine taking time of each medicine is as follows
Figure BDA0002926241900000031
The daily rehabilitation duration is taThe analysis module specifies other cautionary items m corresponding to the recipe f and the disease type x from the health consultation information, and the analysis module pairs si
Figure BDA0002926241900000032
taF, m are collected to obtain a postoperative recovery guide, and the analysis module sends the postoperative recovery guide to a patient information input end;
step three, uploading the recorded content of the recovery process of the patient and the postoperative recovery guide to an analysis module by the patient information input end, comparing and analyzing the recorded content of the postoperative recovery process within N days by the analysis module, taking days as a unit, and if the medicine taking type s is siTime of taking medicine
Figure BDA0002926241900000033
Duration of rehabilitation recovery
Figure BDA0002926241900000034
If the diet recorded by the diet module is within f, the completion degree of the medical advice is one hundred percent, if one item of the diet recorded by the diet module does not meet the requirement of the postoperative recovery guideline, the completion degree of the medical advice is seventy-five percent, if two items of the diet recorded by the diet module do not meet the requirement of the postoperative recovery guideline, the completion degree of the medical advice is fifty percent, if three items of the diet recorded by the diet module do not meet the requirement of the postoperative recovery guideline, the completion degree of the medical advice is twenty-five percent, and if the three items of the diet recorded by the diet module do not meet the requirement of the postoperative recovery guideline, the completion degree of the medical advice is;
step four, counting days n of different medical advice completion degrees1,n2,n3,n4,n5,n1Days representing the completion of the order as one hundred percent, n2Days, n, representing a degree of completion of the order of seventy-five percent3Days representing a degree of completion of the order of fifty percent, n4Days representing a degree of completion of the order of twenty-five percent, n5Represents the number of days with the order completion degree of zero, wherein N is N1+n2+n3+n4+n5Calculating an order adherence index rho,
Figure BDA0002926241900000041
and step five, the analysis module sends the medical advice compliance index rho to the diagnosis and treatment subsystem, and a doctor can refer to the medical advice compliance index rho during secondary postoperative consultation of a patient.
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages;
1. the control center of the system calls the health consultation information in the storage module through the diagnosis information sent by the hospital information input end, the hospital discharge advice information generates a postoperative recovery guide, and a patient can carry out a correct recovery mode according to the postoperative recovery guide, so that the problem that postoperative recovery is affected due to lack of health guidance of the patient and family members is solved.
2. The patient can record the concrete process that the postoperative is resumeed through disease information input end to with the record content upload to control center, control center obtains patient's doctor's advice completion degree through carrying out analysis record content analysis calculation, when the patient carries out postoperative secondary double-diagnosis, the doctor can be more clear knows patient's recovery situation, strengthens patient's later recovery control of leaving hospital, has shortened patient's time of being in hospital, has reduced the medical cost, has practiced thrift medical resource.
3. After the patient is completely recovered, a new health information record of the patient is formed in the control center, the record comprises all diagnosis information of the patient for seeing a doctor, when the patient sees a doctor again, the doctor can directly call all health information records of the patient from the control center, the health information records can help the doctor to determine a treatment scheme as soon as possible, all conditions of the patient can be known, and the condition of the patient is prevented from being unclear from the past history and symptom expression of the patient, or the patient is hidden from the state of the patient, so that misdiagnosis is caused.
Drawings
FIG. 1 is an overall block diagram of the system;
FIG. 2 is a block diagram of a control center;
FIG. 3 is a block diagram of a hospital subsystem;
fig. 4 is a block diagram of hospital information input.
Detailed Description
The foregoing and other aspects, features and advantages of the invention will be apparent from the following more particular description of embodiments of the invention, as illustrated in the accompanying drawings in which reference is made to figures 1 to 4. The structural contents mentioned in the following embodiments are all referred to the attached drawings of the specification.
An anorectal surgery information management system based on big data comprises a control center, a storage module, a reminding module, a hospital subsystem, a hospital information management platform, a hospital information input end and a patient information input end, wherein the hospital subsystem comprises an information input subsystem, an examination subsystem and a diagnosis and treatment subsystem;
the system management process specifically comprises the following steps:
1) in the prior art, a hospital information management platform comprises a plurality of subsystems, information sharing is carried out through information exchange of a data platform, such as an inpatient nurse workstation, an operation anesthesia information system, an outpatient registration system, an outpatient triage system and the like, an information input subsystem refers to all subsystems of a hospital needed by a patient before an inpatient operation, an examination subsystem comprises subsystems related to various examinations needed by the patient before the operation, a treatment subsystem comprises all subsystems used in the treatment process of the inpatient operation, a nurse inputs identity information of the patient through the information input subsystem of the hospital subsystem, and the examination subsystem carries out physical examination on the patient, the examination result is sent to a diagnosis and treatment subsystem, and a doctor inquires the state of an illness and diagnoses and treats the illness of the patient through the diagnosis and treatment subsystem;
2) when a patient is in hospital and is subjected to surgical treatment, the hospital information management platform can acquire the treatment information of each port of the hospital corresponding to the identity information of the patient, wherein the treatment information comprises diagnosis information, electronic medical record information, examination information, hospitalization information, payment information and discharge medical advice information;
3) the information of the doctor is determined according to the self condition of the patient and comprises a medicine taking method, a medicine amount and related notice, the diagnosis information is sent to the information calling module, the information calling module calls the health consultation information matched with the disease types in the diagnosis information from the storage module, the health consultation information is all information related to the diseases of the patients and is not specific to the special conditions of individual patients, the health consultation information is sent to the analysis module, the analysis module works out a postoperative recovery guide according to the health consultation information and the hospital discharge advice information, and the postoperative recovery guide is sent to the patient information input end, the health knowledge reserves of the patients and the family members of the patients are different, the health consciousness is uneven, the postoperative recovery of the patients can be influenced, the postoperative recovery guide can play a role in guiding the recovery of the patients, and when the patients are in recuperation, things and health knowledge which need to be noticed can be inquired through the postoperative recovery guide;
4) even if a postoperative recovery guide is used as postoperative recovery guidance, a doctor cannot know whether a patient has serious medical advice or not, in order to better supervise postoperative recovery treatment of the patient, the process of home rehabilitation needs to be monitored, after a patient information input end receives the postoperative recovery guide, the postoperative recovery guide is stored in a health knowledge module, the patient can take care by referring to the postoperative recovery guide, a medicine recording module records the medicine taking time, the medicine amount and the medicine name of the patient, a diet module records the diet type and the food consumption of the patient, a rehabilitation module records the postoperative exercise time and the exercise amount, a patient information input end uploads the recorded contents of the medicine recording module, the diet module and the rehabilitation module to a control center, and an analysis module of the control center analyzes and compares the uploaded recorded contents with the postoperative recovery guide to obtain a medical advice compliance index, the medical advice adherence index represents the degree of adherence to the medical advice, when the patient performs secondary postoperative review, the doctor can judge the recovery condition of the operation by referring to the medical advice adherence index, and when the patient completely follows the medical advice of the doctor, if the patient has a poor recovery condition, the doctor can adjust the recovery treatment scheme;
5) after the patient is completely recovered, the hospital subsystem sends a patient recovery signal to the control center, the recovery signal comprises a disease summary of a doctor to the patient, the diagnosis recording module at the information input end of the hospital uploads the diagnosis information and the identity information of the patient to the control center again, the control center collects the information of the treatment process of the patient, the diagnosis information of the patient is recorded in a block chain matched with the identity information of the patient, the disease summary of the patient is also recorded in the block chain, when the patient suffers from the disease next time, the doctor can directly use the identity information of the patient to call all health information records of the patient, the health information records comprise the diagnosis information and the allergy history, only the doctor of the regular hospital has the checking authority, the checking authority is the regular hospital stored in the storage module by the control center in advance, and the block chain technology is utilized for the recording of the diagnosis information, all hospitals in which a patient visits in the lifetime are taken as nodes, the visit record of each hospital is taken as content for storage, the recorded information cannot be changed, the block chain technology ensures that the health information record of the patient is not falsified, and new diagnosis information is written in every hospital node, so that the visit information of the patient is completely reserved, and for the hospitals with repeated visits, doctors can directly call all the visit information of the last visit in the hospitals.
An analysis module of the control center formulates a postoperative recovery guide according to hospital discharge medical advice information and health consultation information, and analyzes and compares the recorded content recorded by the patient information input end with the postoperative recovery guide to obtain a medical advice adherence index, wherein the specific analysis process is as follows:
the method comprises the steps that firstly, an information calling module determines the type of illness of a patient according to diagnosis information, determines the number x of the type of illness, calls health consultation information matched with the type of illness in the diagnosis information from a storage module according to the number x, the number is established according to the type of illness and the specific kind of illness, and the health consultation information comprises all information helpful for recovery of the illness;
step two, the analysis module determines the type s of the medicine eaten after the operation according to the hospital discharge advice informationiWherein i represents the number of types of medicines taken, and the medicine taking time of each medicine is as follows
Figure BDA0002926241900000071
The daily rehabilitation duration is taThe analysis module specifies other cautionary items m corresponding to the recipe f and the disease type x from the health consultation information, and the analysis module pairs si
Figure BDA0002926241900000072
taF, m are collected to obtain a postoperative recovery guide, and the analysis module sends the postoperative recovery guide to a patient information input end;
thirdly, the recorded content of the recovery process of the patient and the postoperative recovery guide are uploaded to an analysis module by the patient information input end, the analysis module carries out comparative analysis on the recorded content of the postoperative recovery process within N days, and the record content takes days as a unit if the record content is not updated, and the patient can be recovered by the postoperative recovery guide after the patient is recovered by the patient after the patient isThe kind of medicine taken is siTime of taking medicine
Figure BDA0002926241900000073
Duration of rehabilitation recovery
Figure BDA0002926241900000081
If the diet recorded by the diet module is in f, the completion degree of the medical advice is one hundred percent, if one item does not meet the requirement of the postoperative recovery guideline, the completion degree of the medical advice is seventy-five percent, if two items do not meet the requirement of the postoperative recovery guideline, the completion degree of the medical advice is fifty percent, if three items do not meet the requirement of the postoperative recovery guideline, the completion degree of the medical advice is twenty-five percent, if the requirement of the postoperative recovery guideline is not met, the completion degree of the medical advice is zero, the problems that the patient has a wrong medicine and a wrong dosage can be avoided according to the postoperative recovery guideline, and the daily diet can be guided;
step four, counting days n of different medical advice completion degrees1,n2,n3,n4,n5,n1Days representing the completion of the order as one hundred percent, n2Days, n, representing a degree of completion of the order of seventy-five percent3Days representing a degree of completion of the order of fifty percent, n4Days representing a degree of completion of the order of twenty-five percent, n5Represents the number of days with the order completion degree of zero, wherein N is N1+n2+n3+n4+n5Calculating an order adherence index rho,
Figure BDA0002926241900000082
and step five, the analysis module sends the medical advice compliance index rho to the diagnosis and treatment subsystem, and a doctor can refer to the medical advice compliance index rho during secondary postoperative consultation of a patient.
The health consultation information is health items which need attention to different diseases in the storage module, the discharge medical advice information is formulated aiming at the operation and the self disease condition of the patient, and the postoperative recovery guide is related to the health items corresponding to the diseases and the self disease condition of the patient.
And 5) when the patient suffers from treatment once in life, the health information record of the patient is established for the first time, and when the patient suffers from illness for the second time, the doctor can call the last health record information of the patient through the control center and generate new health record information, wherein the health record information comprises diagnosis information and allergy history, and the previous health record information of the patient can be called according to the identity information of the patient during each visit.
The reminding module can record the time of patient discharge and the time of re-diagnosis, when the time of re-diagnosis of the patient arrives, the reminding module sends the diagnosis information of the patient to the diagnosis and treatment subsystem, a nurse can remind the patient of timely re-diagnosis through a calling mode, and can also remind a doctor of timely patient follow-up visit of discharge, the reminding module can also set the medicine taking and exercise time of the patient, and is used for reminding the patient, the reminding module can also set the medicine taking and the time of re-health of the patient to remind, and timely reminds the patient of taking medicine, the reminding module can be a set independent module, the time information needing reminding is input, after the set time is reached, the reminding module sends a signal to the receiving theme of reminding, the reminding module can set the medicine taking time of the patient, the types of corresponding medicines and the amount of each kind of medicines.
When the system is used in particular, the system mainly comprises a control center, a storage module, a reminding module, a hospital subsystem, a hospital information management platform, a hospital information input end and a patient information input end, nurses input identity information of patients through an information input subsystem of the hospital subsystem, the patients are subjected to physical examination through an examination subsystem, examination results are sent to a diagnosis and treatment subsystem, doctors determine treatment schemes of the patients through the diagnosis and treatment subsystem, when the patients are in hospital and are subjected to surgical treatment, the hospital information input end, an information screening module of the hospital information input end screens treatment information, the hospital information is sent to an analysis module, diagnosis information is sent to an information calling module, the information calling module calls health consultation information in the storage module and sends to the analysis module, the analysis module formulates a postoperative recovery guide according to the health consultation information and the hospital advice information, the patient can carry out postoperative recovery by referring to the postoperative recovery guide, the patient acquires information of the postoperative recovery process through the patient information input end and uploads the acquired postoperative recovery information to the analysis module, the analysis module carries out analysis and calculation on the record content of the recovery process to obtain a medical advice compliance index, when the patient carries out secondary postoperative review, a doctor can judge the recovery condition of the operation by referring to the medical advice compliance index, after the patient completely recovers, the hospital subsystem sends a patient recovery signal to the control center, the control center carries out information summarization on the treatment process of the patient, the diagnosis information of the patient is recorded in a block chain matched with the identity information of the patient, when the patient next sickbed, the doctor can directly use the identity information of the patient to call all health information records of the patient, the health information records help doctors to quickly know all conditions of patients, quickly determine treatment schemes, and meanwhile, through guidance of a postoperative recovery process of patient discharge, the hospitalization time can be shortened, and medical resources are saved.
While the invention has been described in further detail with reference to specific embodiments thereof, it is not intended that the invention be limited to the specific embodiments thereof; for those skilled in the art to which the present invention pertains and related technologies, the extension, operation method and data replacement should fall within the protection scope of the present invention based on the technical solution of the present invention.

Claims (5)

1. The anorectal surgery information management system based on big data is characterized by comprising a control center, a storage module, a reminding module, a hospital subsystem, a hospital information management platform, a hospital information input end and a patient information input end, wherein the hospital subsystem comprises an information input subsystem, an examination subsystem and a diagnosis and treatment subsystem;
the system management process specifically comprises the following steps:
1) the nurse inputs the identity information of the patient through the information input subsystem of the hospital subsystem, the examination subsystem performs physical examination on the patient and sends the examination result to the diagnosis and treatment subsystem, and the diagnosis and treatment doctor inquires the state of an illness and diagnoses the state of the illness of the patient through the diagnosis and treatment subsystem;
2) when a patient is in hospital and is subjected to surgical treatment, the hospital information management platform can acquire the treatment information of each port of the hospital corresponding to the identity information of the patient, wherein the treatment information comprises diagnosis information, electronic medical record information, examination information, hospitalization information, payment information and discharge medical advice information, and after the patient is discharged, the hospital information management platform sends the treatment information of the patient to the hospital information input end;
3) after the hospital information input end receives the patient information, the information screening module screens the received information, and uploads the screened diagnosis information, examination information and hospital discharge advice information to the control center, the information receiving module of the control center receives the diagnosis information, the examination information and the hospital discharge advice information, then sends the hospital discharge advice information to the analysis module, sends the diagnosis information to the information calling module, calls the health advice information matched with the disease types in the diagnosis information from the storage module by the information calling module, and sends the health advice information to the analysis module, and the analysis module makes a postoperative recovery guide according to the health advice information and the hospital discharge advice information, and sends the postoperative recovery guide to the patient information input end;
4) after the patient information input end receives the postoperative recovery guide, the postoperative recovery guide is stored in the health knowledge module, the patient can perform rehabilitation by referring to the postoperative recovery guide, the medicine recording module records the medicine taking time, the medicine amount and the medicine name of the patient, the diet module records the diet type and the food consumption of the patient, the rehabilitation module records the postoperative exercise time and the exercise amount, the patient information input end uploads the recorded contents recorded by the medicine recording module, the diet module and the rehabilitation module to the control center, the analysis module of the control center analyzes and compares the uploaded recorded contents with the postoperative recovery guide to obtain a medical advice compliance index, the medical advice compliance index represents the degree of compliance of the medical advice, and when the patient performs secondary postoperative review, a doctor can judge the recovery condition of the operation by referring to the medical advice compliance index;
5) the patient resumes completely, the hospital subsystem sends the patient signal of healing up to control center, control center carries out the information to patient's the process of treating diseases and gathers, with patient's diagnostic information record in the block chain that matches with patient's identity information, when the patient falls ill next time, the doctor can directly utilize patient's identity information to transfer all health information records of patient, health information record includes diagnostic information and allergic history, only the doctor of formal hospital has the authority of looking over, the authority of looking over is that control center stores the formal hospital in storage module in advance.
2. The anorectal surgery information management system based on big data of claim 1, wherein the analysis module of the control center prepares a postoperative recovery guideline according to hospital discharge advice information and health consultation information, and obtains an advice adherence index by analyzing and comparing record contents recorded by the patient information input end with the postoperative recovery guideline, wherein the analysis process comprises the following steps:
the information calling module determines the type of the illness of the patient according to the diagnosis information, determines the number x of the illness type, and calls health consultation information matched with the disease type in the diagnosis information from the storage module according to the number x;
step two, the analysis module determines the type s of the medicine eaten after the operation according to the hospital discharge advice informationiWherein i represents the number of types of medicines taken, and the medicine taking time of each medicine is as follows
Figure FDA0002926241890000021
The daily rehabilitation duration is taThe analysis module specifies other cautionary matters m corresponding to the recipe f and the disease type x from the health consultation information, and the analysis moduleBlock pair si
Figure FDA0002926241890000022
taF, m are collected to obtain a postoperative recovery guide, and the analysis module sends the postoperative recovery guide to a patient information input end;
step three, uploading the recorded content of the recovery process of the patient and the postoperative recovery guide to an analysis module by the patient information input end, comparing and analyzing the recorded content of the postoperative recovery process within N days by the analysis module, taking days as a unit, and if the medicine taking type s is siTime of taking medicine
Figure FDA0002926241890000023
Duration of rehabilitation recovery
Figure FDA0002926241890000024
If the diet recorded by the diet module is within f, the completion degree of the medical advice is one hundred percent, if one item of the diet recorded by the diet module does not meet the requirement of the postoperative recovery guideline, the completion degree of the medical advice is seventy-five percent, if two items of the diet recorded by the diet module do not meet the requirement of the postoperative recovery guideline, the completion degree of the medical advice is fifty percent, if three items of the diet recorded by the diet module do not meet the requirement of the postoperative recovery guideline, the completion degree of the medical advice is twenty-five percent, and if the three items of the diet recorded by the diet module do not meet the requirement of the postoperative recovery guideline, the completion degree of the medical advice is;
step four, counting days n of different medical advice completion degrees1,n2,n3,n4,n5,n1Days representing the completion of the order as one hundred percent, n2Days, n, representing a degree of completion of the order of seventy-five percent3Days representing a degree of completion of the order of fifty percent, n4Days representing a degree of completion of the order of twenty-five percent, n5Represents the number of days with the order completion degree of zero, wherein N is N1+n2+n3+n4+n5Calculating an order adherence index rho,
Figure FDA0002926241890000031
and step five, the analysis module sends the medical advice compliance index rho to the diagnosis and treatment subsystem, and a doctor can refer to the medical advice compliance index rho during secondary postoperative consultation of a patient.
3. The system as claimed in claim 2, wherein the health counseling information is health items in the storage module which should be noticed for different diseases, the hospital discharge ordering information is prepared for the patient's operation and own condition, and the postoperative recovery guide is related to both the health items corresponding to the diseases and the patient's own condition.
4. The big data based anorectal surgery information management system of claim 1 wherein in 5) when a patient suffers from a treatment once in life, the health record of the patient is firstly established, and when the patient suffers from a second illness, the doctor can call up the last health record of the patient through the control center and generate new health record information, and the health record comprises diagnosis information and allergy history, so that the past health record information of the patient can be called up at each visit according to the identity information of the patient.
5. The anorectal surgery information management system based on the big data is characterized in that the reminding module can record the discharge time and the re-diagnosis time of a patient, when the re-diagnosis time of the patient is up, the reminding module sends diagnosis information of the patient to the diagnosis and treatment subsystem, a nurse can remind the patient of re-diagnosis in time in a call making mode, and can remind a doctor of follow-up visit of the patient discharged from the hospital in time, the reminding module can set the taking time and the exercise time of the patient to remind the patient, and the reminding module can set the taking time and the re-health time of the patient to remind the patient of taking medicine in time.
CN202110146039.4A 2021-02-01 2021-02-01 Anorectal surgery information management system based on big data Active CN112820369B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110146039.4A CN112820369B (en) 2021-02-01 2021-02-01 Anorectal surgery information management system based on big data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110146039.4A CN112820369B (en) 2021-02-01 2021-02-01 Anorectal surgery information management system based on big data

Publications (2)

Publication Number Publication Date
CN112820369A true CN112820369A (en) 2021-05-18
CN112820369B CN112820369B (en) 2023-08-15

Family

ID=75860557

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110146039.4A Active CN112820369B (en) 2021-02-01 2021-02-01 Anorectal surgery information management system based on big data

Country Status (1)

Country Link
CN (1) CN112820369B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113409927A (en) * 2021-06-25 2021-09-17 浙江依山科技有限公司 Online medical system based on block chain
CN113782145A (en) * 2021-09-22 2021-12-10 深圳市第二人民医院(深圳市转化医学研究院) Post-operative accurate rehabilitation system and method
CN114882984A (en) * 2022-06-30 2022-08-09 深圳市人民医院 Operating room postoperative care information analysis management scheduling integration intelligent platform
CN115620890A (en) * 2022-10-24 2023-01-17 华东医院 Chest surgery patient postoperative remote monitoring and rehabilitation system based on digitization
CN117690568A (en) * 2024-02-04 2024-03-12 四川省医学科学院·四川省人民医院 Medical and health combined management system and method based on blockchain

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005278709A (en) * 2004-03-26 2005-10-13 Nec Fielding Ltd Medical treatment managing system and method
US20100010833A1 (en) * 2008-07-10 2010-01-14 T-System Technologies, Ltd. Systems and methods for improving medical order entry for high volume situations
CN102004862A (en) * 2010-12-14 2011-04-06 王兴强 Clinical method and system for patient to acquire right to know medical treatment
CN104361542A (en) * 2014-11-26 2015-02-18 王常松 Intelligent personal medical treatment archival system
CN106777979A (en) * 2016-12-15 2017-05-31 中山市得高行知识产权中心(有限合伙) Medical service information management system
CN107016249A (en) * 2017-04-21 2017-08-04 湖南格尔智慧科技有限公司 A kind of dealing by single method and device
CN107122601A (en) * 2017-04-19 2017-09-01 北京瑞华康源科技有限公司 A kind of information management system and method
CN107229814A (en) * 2016-03-24 2017-10-03 深圳中迈数字医疗技术有限公司 The method and system intervened according to chronic's information
CN206657354U (en) * 2017-04-19 2017-11-21 北京瑞华康源科技有限公司 A kind of information management system
CN109817349A (en) * 2019-01-23 2019-05-28 成都智一云科科技有限公司 It is a kind of based on disease control intelligent use system outside the institute of doctor's advice mode in hospital
CN110246582A (en) * 2019-05-23 2019-09-17 重庆医科大学附属大学城医院 A kind of doctors and patients' cooperative information plateform system of medical model informationization

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005278709A (en) * 2004-03-26 2005-10-13 Nec Fielding Ltd Medical treatment managing system and method
US20100010833A1 (en) * 2008-07-10 2010-01-14 T-System Technologies, Ltd. Systems and methods for improving medical order entry for high volume situations
CN102004862A (en) * 2010-12-14 2011-04-06 王兴强 Clinical method and system for patient to acquire right to know medical treatment
CN104361542A (en) * 2014-11-26 2015-02-18 王常松 Intelligent personal medical treatment archival system
CN107229814A (en) * 2016-03-24 2017-10-03 深圳中迈数字医疗技术有限公司 The method and system intervened according to chronic's information
CN106777979A (en) * 2016-12-15 2017-05-31 中山市得高行知识产权中心(有限合伙) Medical service information management system
CN107122601A (en) * 2017-04-19 2017-09-01 北京瑞华康源科技有限公司 A kind of information management system and method
CN206657354U (en) * 2017-04-19 2017-11-21 北京瑞华康源科技有限公司 A kind of information management system
CN107016249A (en) * 2017-04-21 2017-08-04 湖南格尔智慧科技有限公司 A kind of dealing by single method and device
CN109817349A (en) * 2019-01-23 2019-05-28 成都智一云科科技有限公司 It is a kind of based on disease control intelligent use system outside the institute of doctor's advice mode in hospital
CN110246582A (en) * 2019-05-23 2019-09-17 重庆医科大学附属大学城医院 A kind of doctors and patients' cooperative information plateform system of medical model informationization

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
杨辉等: "移动医护信息系统", 《计算机工程与设计》 *
杨辉等: "移动医护信息系统", 《计算机工程与设计》, no. 06, 28 March 2008 (2008-03-28) *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113409927A (en) * 2021-06-25 2021-09-17 浙江依山科技有限公司 Online medical system based on block chain
CN113782145A (en) * 2021-09-22 2021-12-10 深圳市第二人民医院(深圳市转化医学研究院) Post-operative accurate rehabilitation system and method
CN113782145B (en) * 2021-09-22 2024-03-12 深圳市第二人民医院(深圳市转化医学研究院) Postoperative accurate rehabilitation system and method
CN114882984A (en) * 2022-06-30 2022-08-09 深圳市人民医院 Operating room postoperative care information analysis management scheduling integration intelligent platform
CN115620890A (en) * 2022-10-24 2023-01-17 华东医院 Chest surgery patient postoperative remote monitoring and rehabilitation system based on digitization
CN115620890B (en) * 2022-10-24 2023-09-29 华东医院 Chest surgery patient postoperative remote monitoring and rehabilitation system based on digitization
CN117690568A (en) * 2024-02-04 2024-03-12 四川省医学科学院·四川省人民医院 Medical and health combined management system and method based on blockchain
CN117690568B (en) * 2024-02-04 2024-04-19 四川省医学科学院·四川省人民医院 Medical and health combined management system and method based on blockchain

Also Published As

Publication number Publication date
CN112820369B (en) 2023-08-15

Similar Documents

Publication Publication Date Title
CN112820369A (en) Anorectal surgery information management system based on big data
US20220330823A1 (en) Systems and devices for telemetry monitoring management
CA2918332C (en) Patient care surveillance system and method
KR102558021B1 (en) A clinical decision support ensemble system and the clinical decision support method by using the same
JP4819314B2 (en) Diagnostic information system
WO2018128927A1 (en) Hierarchical health decision support system and method
Burke et al. The HELP system and its application to infection control
CN111584023A (en) Chronic disease management system and management method
Merone et al. A decision support system for tele-monitoring COPD-related worrisome events
CN112447293B (en) VTE risk early warning system
US20210043326A1 (en) Methods and systems for telemetry monitoring protocol management
CN116206774B (en) Method and system for automatically matching nursing treatment scheme by combining big data
EP3726533A1 (en) Sepsis automated reporting system
CN115620890B (en) Chest surgery patient postoperative remote monitoring and rehabilitation system based on digitization
Al-Adwani et al. A systematic review of IoT integration on health monitoring system
CN104699932A (en) Remote health care system and method thereof
CN112365982A (en) Mother and infant health follow-up visit tracking analysis system for recurrent abortion
Iftene Using Artificial Intelligence in Medicine
JP2002197200A (en) Disease management system utilizing internet
Norris Toward new vital signs: Tools and methods for physiologic data capture, analysis, and decision support in critical care
Hasman My Journey Through the Field of Medical Informatics
Li et al. The value of health it interoperability: Evidence from interhospital transfer of heart attack patients
Whitlow et al. Remote patient management in home dialysis: Planning considerations for the future
CN114334153A (en) System, method, device and medium for detecting health condition
Niveriya et al. Review on Role of Artificial Intelligence in COVID-19 Management and Contemporary Medical Sciences

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
GR01 Patent grant
GR01 Patent grant