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Patient post-discharge case comprehensive feedback querying system and method based on big data

A technology of comprehensive feedback and query system, which is applied in the field of comprehensive feedback and query system for patients after discharge based on big data.

Inactive Publication Date: 2020-07-17
马园
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] But now after the patient is discharged from the hospital, if the patient does not go directly to the hospital for a follow-up visit, the patient cannot get in touch with the doctor, and the attending doctor can no longer observe the patient's recovery and make further diagnosis and treatment. Under certain circumstances, unable to get in touch with their attending physician, it will cause the diagnosis and treatment doctors to not understand the patient's condition enough to delay treatment

Method used

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  • Patient post-discharge case comprehensive feedback querying system and method based on big data
  • Patient post-discharge case comprehensive feedback querying system and method based on big data
  • Patient post-discharge case comprehensive feedback querying system and method based on big data

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Experimental program
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Effect test

Embodiment 1

[0067] Embodiment 1: limit the conditions, set the uploaded data time of the monitoring data real-time upload sub-module as 10s, 60s, 2min, 7min, 11min, monitor the data of the above-mentioned time periods, and monitor the data of each time period with the initial time period Compared with the data in the above time period, set the data coincidence rate of the data in the above time period and the data monitored in the initial time period to 100%, 80%, 77%, 65%, 51%, according to the formula:

[0068] 11min- 10s≤15min

[0069] 100%-51%>30%

[0070] When the coincidence ratio of the detected time and the data uploaded in real time at the above-mentioned time satisfies the above-mentioned formula, the monitored data of this segment is stored and backed up.

Embodiment 2

[0071] Embodiment 2: limit condition, set this system to measure user's body temperature, pulse, blood pressure, respiration, set measurement time as 1min, 5min, 10min, wherein, the patient's body temperature measurement of above-mentioned time is set to 37.3 ℃, 37.8°C, 38.1°C, the patient's pulse measurement is set to 80 beats / min, 79 beats / min, 82 beats / min, the patient's blood pressure systolic blood pressure measurement is set to 102mmHg, 97mmHg, 114mmHg, the patient's blood pressure diastolic The measurement is set to 54mmHg, 47mmHg, 56mmHg, the patient’s respiratory side corridor is set to 23 times / min, 35 times / min, 41 times / min, when the temperature monitoring is 37.3°C, 37.8°C, 38.1°C 37.2 degrees is abnormal and marked. When the patient's blood pressure and diastolic blood pressure measurement data are 54mmHg, 47mmHg, and 56mmHg are not between 60-90mmHg, it is abnormal and marked. 41 times / minute, if it is not between 16-20 times / minute, it is abnormal, mark it, and...

Embodiment 3

[0072] Embodiment 3: limited conditions, set the system to measure the user's body temperature, pulse, blood pressure, respiration, set the measurement time to 1min, 5min, 10min, wherein, the pulse measurement of the patient at the above time is set to 80 times / 102mmHg, 97mmHg, 121mmHg for systolic blood pressure, 64mmHg, 61mmHg, 78mmHg for diastolic blood pressure, monitor body temperature, pulse, blood pressure, The breathing values ​​are all within the normal threshold, set the patient’s myocardial oxygen consumption as Q, and set the patient’s basal metabolic rate as W, according to the formula:

[0073] Q=P n *B n

[0074] W = P n +(B n -b n )-111*100%

[0075] Calculated: Q=82*114=9348, W=82+(121-78)-111*100%=14, the myocardial oxygen consumption is 9348 and the patient's basal metabolic rate is 14, sent to the responsible doctor for diagnosis.

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Abstract

The invention discloses patient post-discharge case comprehensive feedback querying system and method based on big data. The system includes: an identification and login module, a patient medical caredata querying module, a patient health status return visit module, a patient data information bank, and a condition emergency feedback module. The identification and login module is used for identifying the identity of doctors and patients to avoid divulgence of the medical history of the patient; the patient medical care data querying module is used for uploading the conditions of the patient inreal time, so that the doctors and patients can know the conditions of the patient timely; the patient health status return visit module is used for monitoring the post-discharge body condition of the patient in real time; the patient data information bank is used for counting and storing the in-hospital and post-discharge status of the patient, so that the medical care staff can check and call the information; the condition emergency feedback module is used for helping the post-discharge patient to timely ask for help by the doctor under emergent status. The system and method help the post-discharge patient to be connected with the doctor online for further diagnosis.

Description

technical field [0001] The invention relates to the medical field, in particular to a large data-based comprehensive feedback query system and method for patients after discharge. Background technique [0002] At present, information integration and its importance derived from information integration have been recognized by more and more people. With the continuous leap of information technology and the continuous expansion of application fields, information integration has become more and more important in terms of application scope, perspective, goal, level and involved elements. With the rapid development of information technology, more and more hospitals in China are accelerating the construction of information-based platforms and HIS systems to improve the service level and core competitiveness of hospitals. If a doctor needs to write after the diagnosis, it should be concise, including the patient's name, gender, age, occupation, place of origin, work unit or address, ...

Claims

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Application Information

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IPC IPC(8): G16H10/60G16H50/20G16H80/00G06F21/32
CPCG06F21/32G16H10/60G16H50/20G16H80/00
Inventor 马园
Owner 马园
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