CN111248875A - Postoperative patient condition early warning monitoring method and system - Google Patents
Postoperative patient condition early warning monitoring method and system Download PDFInfo
- Publication number
- CN111248875A CN111248875A CN202010065251.3A CN202010065251A CN111248875A CN 111248875 A CN111248875 A CN 111248875A CN 202010065251 A CN202010065251 A CN 202010065251A CN 111248875 A CN111248875 A CN 111248875A
- Authority
- CN
- China
- Prior art keywords
- monitoring
- postoperative patient
- physiological parameters
- score value
- total score
- 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
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4842—Monitoring progression or stage of a disease
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Cardiology (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Physiology (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Pulmonology (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention discloses a postoperative patient condition early warning and monitoring method and a postoperative patient condition early warning and monitoring system, which comprise the following steps: s1, acquiring seven physiological parameters of the postoperative patient, wherein the seven physiological parameters comprise pulse, arterial systolic pressure, respiratory rate, body temperature, consciousness, oxygen saturation and urine volume; s2, analyzing the score corresponding to the range of each physiological parameter; s3, adding the scores corresponding to the physiological parameters in the seven physiological parameters to obtain a total score; and S4, judging whether the total score value reaches an early warning trigger value of a corresponding monitoring level, if so, triggering and outputting the corresponding monitoring level of the postoperative patient and recommending corresponding nursing intervention measure content. According to the invention, after the physiological parameter score of the postoperative patient reaches the trigger standard, the corresponding monitoring grade is displayed and the content of the corresponding nursing intervention measure is recommended.
Description
Technical Field
The invention relates to the technical field of patient condition early warning, in particular to a postoperative patient condition early warning monitoring method and system.
Background
After the patient gets back to the ward, medical personnel can only confirm postoperative patient's guardianship grade according to medical personnel's experience through observing postoperative patient's whole condition, and this is very high to medical personnel's requirement, is unfavorable for guardianship to postoperative patient better.
Disclosure of Invention
Aiming at the problems and the defects in the prior art, the invention provides a method and a system for early warning and monitoring the condition of a postoperative patient.
The invention solves the technical problems through the following technical scheme:
the invention provides a postoperative patient condition early warning and monitoring method which is characterized by comprising the following steps:
s1, acquiring seven physiological parameters of the postoperative patient, wherein the seven physiological parameters comprise pulse, arterial systolic pressure, respiratory rate, body temperature, consciousness, oxygen saturation and urine volume;
s2, analyzing the score corresponding to the range of each physiological parameter;
s3, adding the scores corresponding to the physiological parameters in the seven physiological parameters to obtain a total score;
and S4, judging whether the total score value reaches an early warning trigger value of a corresponding monitoring level, if so, triggering and outputting the corresponding monitoring level of the postoperative patient and recommending corresponding nursing intervention measure content.
Preferably, in step S4, when the total score is 0-3 minutes, the monitoring level of the postoperative patient is output as the first-level monitoring level and the corresponding intervention measure; the total score value is 4-6 points or the corresponding score value of any one of the seven physiological parameters is more than 2 points, and the monitoring grade of the patient after the operation is output as a secondary monitoring grade and corresponding intervention measures; when the total score value is 7-8 points or the corresponding score value of any one of the seven physiological parameters is more than 3 points, outputting the monitoring grade of the postoperative patient as a third-level monitoring grade and corresponding intervention measures; and when the total score value is greater than 9 minutes, outputting the monitoring grade of the postoperative patient as a fourth-level monitoring grade and corresponding intervention measures.
Preferably, consciousness assessment is performed by AVPU assessment methods including Alert (waking), stress to voice (responding to sound), stress to pain, and unresponsive (not responding).
Preferably, the pulse, the systolic arterial pressure, the respiratory rate and the oxygen saturation are obtained by an electrocardiograph monitor, the body temperature is obtained by a thermometer, and the urine volume is obtained by a urine volume collector.
The invention also provides a postoperative patient condition early warning and monitoring system which is characterized by comprising an acquisition module, an analysis module, an addition module and a judgment module;
the acquisition module is used for acquiring seven physiological parameters of a postoperative patient, wherein the seven physiological parameters comprise pulse, arterial systolic pressure, respiratory rate, body temperature, consciousness, oxygen saturation and urine volume;
the analysis module is used for analyzing the score corresponding to the range of each physiological parameter;
the adding module is used for adding the scores corresponding to all the physiological parameters in the seven physiological parameters to obtain a total score value;
the judging module is used for judging whether the total score value reaches an early warning trigger value of a corresponding monitoring grade, if so, triggering and outputting the corresponding monitoring grade of the postoperative patient and recommending corresponding nursing intervention measure content.
Preferably, the output module is used for outputting the monitoring grade of the postoperative patient as a first-level monitoring grade and corresponding intervention measures when the total score value is 0-3 minutes; when the total score value is 4-6 points or the corresponding score value of any one of the seven physiological parameters is more than 2 points, outputting the monitoring grade of the postoperative patient as a secondary monitoring grade and corresponding intervention measures thereof; when the total score value is 7-8 minutes or the corresponding score value of any one of the seven physiological parameters is more than 3 minutes, outputting the monitoring grade of the postoperative patient as a third-level monitoring grade and corresponding intervention measures; and when the total score value is greater than 9 minutes, outputting the monitoring grade of the postoperative patient as a fourth-level monitoring grade and corresponding intervention measures.
Preferably, consciousness assessment is performed by AVPU assessment methods including Alert (waking), stress to voice (responding to sound), stress to pain, and unresponsive (not responding).
Preferably, the pulse, the systolic arterial pressure, the respiratory rate and the oxygen saturation are obtained by an electrocardiograph monitor, the body temperature is obtained by a thermometer, and the urine volume is obtained by a urine volume collector.
On the basis of the common knowledge in the field, the above preferred conditions can be combined randomly to obtain the preferred embodiments of the invention.
The positive progress effects of the invention are as follows:
according to the invention, after the physiological parameter score of the postoperative patient reaches the trigger standard, the corresponding monitoring grade is displayed.
Drawings
FIG. 1 is a flow chart of a method for monitoring postoperative patient condition early warning according to a preferred embodiment of the present invention.
FIG. 2 is a block diagram of a system for monitoring and warning postoperative patients.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1, the present embodiment provides a method for monitoring and warning postoperative patient condition, which includes the following steps:
Wherein, the consciousness assessment adopts AVPU assessment method, including Alert (waking), response to voice, response to pain and unresponsive (no response); the pulse, the arterial systolic pressure, the respiratory frequency and the oxygen saturation are obtained by an ECG monitor; body temperature was obtained by a thermometer and urine volume was obtained by a urine volume collector.
And 102, analyzing the score corresponding to the range of each physiological parameter.
And 103, adding the scores corresponding to the physiological parameters in the seven physiological parameters to obtain a total score value.
And step 104, judging whether the total score value reaches an early warning trigger value of a corresponding monitoring grade, if so, triggering and outputting the corresponding monitoring grade of the postoperative patient and recommending corresponding nursing intervention measure content.
In step 104, when the total score value is 0-3 minutes, outputting the monitoring grade of the postoperative patient as a first-level monitoring grade and corresponding intervention measures thereof; the total score value is 4-6 points or the corresponding score value of any one of the seven physiological parameters is more than 2 points, and the monitoring grade of the patient after the operation is output as a secondary monitoring grade and corresponding intervention measures; when the total score value is 7-8 or the corresponding score value of any one of seven physiological parameters is more than 3 or within 6 hours after general anesthesia operation of the postoperative patient, outputting the monitoring grade of the postoperative patient as a third-level monitoring grade and corresponding intervention measures thereof; and when the total score value is greater than 9 minutes, outputting the monitoring grade of the postoperative patient as a fourth-level monitoring grade and corresponding intervention measures.
The output red is 4-level monitoring, orange is 3-level monitoring, blue is 2-level monitoring, and green is 1-level monitoring.
As shown in fig. 2, the embodiment further provides a postoperative patient condition early warning monitoring system, which includes an obtaining module 1, an analyzing module 2, an adding module 3, and a determining module 4.
The acquisition module 1 is used for acquiring seven physiological parameters of a patient after an operation, wherein the seven physiological parameters comprise pulse, arterial systolic pressure, respiratory rate, body temperature, consciousness, oxygen saturation and urine volume.
The consciousness assessment adopts AVPU assessment method, including Alert (waking), response to voice, response to pain and unresponsive, pulse, arterial systolic pressure, respiratory frequency and oxygen saturation are obtained by an ECG monitor, body temperature is obtained by a thermometer, and urine volume is obtained by a urine volume collector.
The analysis module 2 is used for analyzing the score corresponding to the range of each physiological parameter.
The adding module 3 is used for adding the scores corresponding to all the physiological parameters in the seven physiological parameters to obtain a total score value.
The judging module 4 is used for judging whether the total score value reaches an early warning trigger value of a corresponding monitoring grade, if so, triggering and outputting the corresponding monitoring grade of the postoperative patient and recommending corresponding nursing intervention measure content.
Specifically, the output module 4 is configured to output the monitoring level of the postoperative patient as a first-level monitoring level and corresponding intervention measures thereof when the total score value is 0-3 minutes; when the total score value is 4-6 points or the corresponding score value of any one of the seven physiological parameters is more than 2 points, outputting the monitoring grade of the postoperative patient as a secondary monitoring grade and corresponding intervention measures thereof; when the total score value is 7-8 points or the corresponding score value of any one of seven physiological parameters is greater than 3 points or within 6 hours after general anesthesia operation of the postoperative patient, outputting the monitoring grade of the postoperative patient as a third-level monitoring grade and corresponding intervention measures; and when the total score value is greater than 9 minutes, outputting the monitoring grade of the postoperative patient as a fourth-level monitoring grade and corresponding intervention measures.
In the scheme, after the score reaches the triggering standard, the system displays the corresponding monitoring scheme. And the nursing staff gives corresponding intervention measures to the postoperative patient according to the monitoring plan level corresponding to the grade according to the system prompt, starts an early warning monitoring process, monitors the change of the grade value and dynamically evaluates the change of the illness state of the patient. Patients who trigger potential pre-alarms are marked in an electronic medical record system until discharge for clinical follow-up management at any time.
The invention shortens the critical illness state early warning time, carries out targeted illness state evaluation, and finds and disposes critical case in time by establishing a real-time reminding function and a feedback mechanism and automatically generating an early warning processing flow through a trigger mode
The invention establishes a set of objective and quantitative postoperative patient condition early warning and scoring system, helps nurses to evaluate and find postoperative patient condition changes in time, and provides scientific basis for nurses to objectively and accurately select corresponding nursing schemes.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that these are by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (8)
1. A postoperative patient condition early warning monitoring method is characterized by comprising the following steps:
s1, acquiring seven physiological parameters of the postoperative patient, wherein the seven physiological parameters comprise pulse, arterial systolic pressure, respiratory rate, body temperature, consciousness, oxygen saturation and urine volume;
s2, analyzing the score corresponding to the range of each physiological parameter;
s3, adding the scores corresponding to the physiological parameters in the seven physiological parameters to obtain a total score;
and S4, judging whether the total score value reaches an early warning trigger value of a corresponding monitoring level, if so, triggering and outputting the corresponding monitoring level of the postoperative patient and recommending corresponding nursing intervention measure content.
2. The method for monitoring postoperative patient condition early warning according to claim 1, wherein in step S4, when the total score is 0-3 minutes, the monitoring level of the postoperative patient is outputted as a primary monitoring level and corresponding intervention measures; the total score value is 4-6 points or the corresponding score value of any one of the seven physiological parameters is more than 2 points, and the monitoring grade of the patient after the operation is output as a secondary monitoring grade and corresponding intervention measures; when the total score value is 7-8 points or the corresponding score value of any one of the seven physiological parameters is more than 3 points, outputting the monitoring grade of the postoperative patient as a third-level monitoring grade and corresponding intervention measures; and when the total score value is greater than 9 minutes, outputting the monitoring grade of the postoperative patient as a fourth-level monitoring grade and corresponding intervention measures.
3. The method of claim 1, wherein the assessment of consciousness is performed by AVPU assessment including wakefulness, response to sound, response to pain and non-response.
4. The method of claim 1, wherein the pulse, systolic arterial pressure, respiratory rate and oxygen saturation are obtained from an electrocardiograph, the body temperature is obtained from a thermometer and the urine volume is obtained from a urine volume collector.
5. A postoperative patient condition early warning monitoring system is characterized by comprising an acquisition module, an analysis module, an addition module and a judgment module;
the acquisition module is used for acquiring seven physiological parameters of a postoperative patient, wherein the seven physiological parameters comprise pulse, arterial systolic pressure, respiratory rate, body temperature, consciousness, oxygen saturation and urine volume;
the analysis module is used for analyzing the score corresponding to the range of each physiological parameter;
the adding module is used for adding the scores corresponding to all the physiological parameters in the seven physiological parameters to obtain a total score value;
the judging module is used for judging whether the total score value reaches an early warning trigger value of a corresponding monitoring grade, if so, triggering and outputting the corresponding monitoring grade of the postoperative patient and recommending corresponding nursing intervention measure content.
6. The system according to claim 5, wherein the output module is configured to output the monitoring level of the postoperative patient as a first-level monitoring level and corresponding intervention measures when the total score is 0-3 minutes; when the total score value is 4-6 points or the corresponding score value of any one of the seven physiological parameters is more than 2 points, outputting the monitoring grade of the postoperative patient as a secondary monitoring grade and corresponding intervention measures thereof; when the total score value is 7-8 minutes or the corresponding score value of any one of the seven physiological parameters is more than 3 minutes, outputting the monitoring grade of the postoperative patient as a third-level monitoring grade and corresponding intervention measures; and when the total score value is greater than 9 minutes, outputting the monitoring grade of the postoperative patient as a fourth-level monitoring grade and corresponding intervention measures.
7. The system of claim 5, wherein the consciousness assessment is AVPU assessment including wakefulness, response to sound, response to pain and non-response.
8. The system of claim 5, wherein the pulse, systolic arterial pressure, respiratory rate and oxygen saturation are obtained from an ECG monitor, the body temperature is obtained from a thermometer and the urine volume is obtained from a urine volume collector.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010065251.3A CN111248875A (en) | 2020-01-20 | 2020-01-20 | Postoperative patient condition early warning monitoring method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010065251.3A CN111248875A (en) | 2020-01-20 | 2020-01-20 | Postoperative patient condition early warning monitoring method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111248875A true CN111248875A (en) | 2020-06-09 |
Family
ID=70923705
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010065251.3A Pending CN111248875A (en) | 2020-01-20 | 2020-01-20 | Postoperative patient condition early warning monitoring method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111248875A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113812933A (en) * | 2021-09-18 | 2021-12-21 | 重庆大学 | Acute myocardial infarction real-time early warning system based on wearable equipment |
| WO2022140901A1 (en) * | 2020-12-28 | 2022-07-07 | 深圳迈瑞生物医疗电子股份有限公司 | Monitoring device and monitoring method therefor |
| WO2023198065A1 (en) * | 2022-04-11 | 2023-10-19 | 北京优理医疗器械有限公司 | Physiological data collecting apparatus and method, physiological data processing apparatus and method and physiological data presenting apparatus and method for handling crisis and non-crisis situations |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101554322A (en) * | 2008-04-09 | 2009-10-14 | 陈敦金 | System for estimating state of critically ill patient in obstetrical department |
| CN102008352A (en) * | 2010-04-02 | 2011-04-13 | 广州医学院第三附属医院 | Referral index of critically ill pregnant and lying-in women |
| CN202104912U (en) * | 2011-06-08 | 2012-01-11 | 武汉大学 | Early condition intelligent recognition monitor |
| CN103402423A (en) * | 2011-03-01 | 2013-11-20 | 皇家飞利浦有限公司 | Patient deterioration detection |
| CN105030203A (en) * | 2015-08-06 | 2015-11-11 | 深圳市理邦精密仪器股份有限公司 | Monitoring data display method and monitoring equipment |
| US20150342538A1 (en) * | 2014-06-03 | 2015-12-03 | Welch Allyn, Inc. | Custom early warning scoring for medical device |
| CN108498076A (en) * | 2018-04-19 | 2018-09-07 | 金华市中心医院 | Inpatient's venous thromboembolism safety management system and application |
-
2020
- 2020-01-20 CN CN202010065251.3A patent/CN111248875A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101554322A (en) * | 2008-04-09 | 2009-10-14 | 陈敦金 | System for estimating state of critically ill patient in obstetrical department |
| CN102008352A (en) * | 2010-04-02 | 2011-04-13 | 广州医学院第三附属医院 | Referral index of critically ill pregnant and lying-in women |
| CN103402423A (en) * | 2011-03-01 | 2013-11-20 | 皇家飞利浦有限公司 | Patient deterioration detection |
| CN202104912U (en) * | 2011-06-08 | 2012-01-11 | 武汉大学 | Early condition intelligent recognition monitor |
| US20150342538A1 (en) * | 2014-06-03 | 2015-12-03 | Welch Allyn, Inc. | Custom early warning scoring for medical device |
| CN107072533A (en) * | 2014-06-03 | 2017-08-18 | 伟伦公司 | Self-defined early warning for Medical Devices is scored |
| CN105030203A (en) * | 2015-08-06 | 2015-11-11 | 深圳市理邦精密仪器股份有限公司 | Monitoring data display method and monitoring equipment |
| CN108498076A (en) * | 2018-04-19 | 2018-09-07 | 金华市中心医院 | Inpatient's venous thromboembolism safety management system and application |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022140901A1 (en) * | 2020-12-28 | 2022-07-07 | 深圳迈瑞生物医疗电子股份有限公司 | Monitoring device and monitoring method therefor |
| CN113812933A (en) * | 2021-09-18 | 2021-12-21 | 重庆大学 | Acute myocardial infarction real-time early warning system based on wearable equipment |
| WO2023198065A1 (en) * | 2022-04-11 | 2023-10-19 | 北京优理医疗器械有限公司 | Physiological data collecting apparatus and method, physiological data processing apparatus and method and physiological data presenting apparatus and method for handling crisis and non-crisis situations |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| RU2496411C2 (en) | Hemodynamic monitors and devices of alarm system | |
| CN111248875A (en) | Postoperative patient condition early warning monitoring method and system | |
| US10039451B2 (en) | System and method for optimizing the frequency of data collection and thresholds for deterioration detection algorithm | |
| CA2418003C (en) | Method and apparatus for multiple patient parameter variability analysis and display | |
| US8608656B2 (en) | System and method for integrating clinical information to provide real-time alerts for improving patient outcomes | |
| US20100268040A1 (en) | Method and system for detection of pre-fainting and other conditions hazardous to the health of a patient | |
| US20080076970A1 (en) | Fluid management measurement module | |
| JP6692355B2 (en) | A method for score confidence interval estimation when vital sign sampling frequency is limited | |
| AU2015271137A1 (en) | Custom early warning scoring for medical device | |
| JP2012065713A (en) | Method for removing abnormal heartbeat and trend of electrocardiogram data, autonomic nerve monitor device, and septicemia sideration alarm device | |
| US8988227B2 (en) | Alarm information processing apparatus and alarm information processing program | |
| CN106650265A (en) | Intelligent medical diagnosis system | |
| CN112712898A (en) | Early warning method and operation terminal for special cases of craniocerebral trauma | |
| Sasmito et al. | A Systematic Review: Early Warning System for Hospital Wards | |
| CN106991293B (en) | Early-stage communication system, method and communication instrument for severe diseases | |
| JP6762061B1 (en) | software | |
| JP5969111B2 (en) | Monitoring device based on concrete evidence | |
| KR102505845B1 (en) | Software, health status determination device and health status determination method | |
| EP3760108A1 (en) | Vital sign monitors for inpatient medicine wards | |
| US20170053078A1 (en) | Quantifying and reporting user readiness | |
| CN113223713A (en) | Dynamic monitoring method, system and storage medium based on risk assessment | |
| CN111839471A (en) | Bedside intelligent accurate medical auxiliary system | |
| CN110801205A (en) | Human body data monitoring method based on Internet technology | |
| TWI789040B (en) | Device, method, and system for collecting, managing and displaying physiological data | |
| CN113990475A (en) | Remote management system suitable for patient leaving hospital |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200609 |