WO2021177644A3 - 환자의 정보를 기반으로 재원기간을 예측하는 장치, 방법 및 프로그램 - Google Patents
환자의 정보를 기반으로 재원기간을 예측하는 장치, 방법 및 프로그램 Download PDFInfo
- Publication number
- WO2021177644A3 WO2021177644A3 PCT/KR2021/002289 KR2021002289W WO2021177644A3 WO 2021177644 A3 WO2021177644 A3 WO 2021177644A3 KR 2021002289 W KR2021002289 W KR 2021002289W WO 2021177644 A3 WO2021177644 A3 WO 2021177644A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- patient
- hospital stay
- length
- basis
- predicting
- Prior art date
Links
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
- 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
Landscapes
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
본 발명은 환자의 정보를 기반으로 재원기간을 예측하는 장치에 관한 것으로, 대상 환자의 EMR 데이터를 조회하여 대상 환자의 질환명, 진료과 및 수술 종류 중 적어도 하나를 포함하는 카테고리 정보를 체킹하고, 이를 예측 모델에 입력하여 대상 환자의 재원기간 예측을 위한 적어도 하나의 변수를 추출하고, 추출된 변수의 값을 입력하여 대상 환자의 재원기간 예측값을 산출할 수 있는 효과가 있다.
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR10-2020-0027837 | 2020-03-05 | ||
KR20200027837 | 2020-03-05 | ||
KR10-2021-0023193 | 2021-02-22 | ||
KR1020210023193A KR102510992B1 (ko) | 2020-03-05 | 2021-02-22 | 환자의 정보를 기반으로 재원기간을 예측하는 장치, 방법 및 프로그램 |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2021177644A2 WO2021177644A2 (ko) | 2021-09-10 |
WO2021177644A3 true WO2021177644A3 (ko) | 2021-10-28 |
Family
ID=77614106
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/KR2021/002289 WO2021177644A2 (ko) | 2020-03-05 | 2021-02-24 | 환자의 정보를 기반으로 재원기간을 예측하는 장치, 방법 및 프로그램 |
Country Status (1)
Country | Link |
---|---|
WO (1) | WO2021177644A2 (ko) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20130104882A (ko) * | 2012-03-15 | 2013-09-25 | 삼성전자주식회사 | 관상동맥석회화 수치 위험도 예측장치 및 예측방법 |
JP2017079065A (ja) * | 2015-10-20 | 2017-04-27 | 和 庄野 | 医療機関マッチングシステム |
KR20190131267A (ko) * | 2018-05-16 | 2019-11-26 | 고려대학교 산학협력단 | 기계 학습을 이용한 관상 동맥 질환 예측 방법 및 시스템 |
KR20190135692A (ko) * | 2018-05-29 | 2019-12-09 | (주)성민네트웍스 | 의료 emr 데이터를 이용한 병원 crm 시스템 |
KR20200017140A (ko) * | 2018-08-08 | 2020-02-18 | 울산대학교 산학협력단 | 빅데이터를 이용한 간암 예후 예측과 치료 방침 결정 시스템 및 방법 |
-
2021
- 2021-02-24 WO PCT/KR2021/002289 patent/WO2021177644A2/ko active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20130104882A (ko) * | 2012-03-15 | 2013-09-25 | 삼성전자주식회사 | 관상동맥석회화 수치 위험도 예측장치 및 예측방법 |
JP2017079065A (ja) * | 2015-10-20 | 2017-04-27 | 和 庄野 | 医療機関マッチングシステム |
KR20190131267A (ko) * | 2018-05-16 | 2019-11-26 | 고려대학교 산학협력단 | 기계 학습을 이용한 관상 동맥 질환 예측 방법 및 시스템 |
KR20190135692A (ko) * | 2018-05-29 | 2019-12-09 | (주)성민네트웍스 | 의료 emr 데이터를 이용한 병원 crm 시스템 |
KR20200017140A (ko) * | 2018-08-08 | 2020-02-18 | 울산대학교 산학협력단 | 빅데이터를 이용한 간암 예후 예측과 치료 방침 결정 시스템 및 방법 |
Also Published As
Publication number | Publication date |
---|---|
WO2021177644A2 (ko) | 2021-09-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Russo et al. | A new surgical-site infection risk index using risk factors identified by multivariate analysis for patients undergoing coronary artery bypass graft surgery | |
Allareddy et al. | Epidemiology of facial fracture injuries | |
CN107436993B (zh) | 建立icu患者病情评估模型的方法和服务器 | |
US20030101076A1 (en) | System for supporting clinical decision making through the modeling of acquired patient medical information | |
JP2013545188A (ja) | 患者の病気重篤性、致死性および滞在長さの連続的な予測の方法 | |
Kent et al. | An independently derived and validated predictive model for selecting patients with myocardial infarction who are likely to benefit from tissue plasminogen activator compared with streptokinase | |
Inacio et al. | A community-based hip fracture registry: population, methods, and outcomes | |
WO2002019244A3 (en) | Patient analysis and risk reduction system and associated methods including the use of patient monitored data | |
Pannucci et al. | Early fasciotomy in electrically injured patients as a marker for injury severity and deep venous thrombosis risk: an analysis of the National Burn Repository | |
WO2002019245A3 (en) | Patient analysis and risk reduction system and associated methods | |
CN106308781A (zh) | 基于环境感知的健康监护系统及方法 | |
Sola-Valls et al. | Walking function in clinical monitoring of multiple sclerosis by telemedicine | |
Reiber et al. | Therapeutic Footwear in Patients With Diabetes—Reply | |
Slama et al. | The integration and management of noncommunicable diseases in primary health care | |
WO2021177644A3 (ko) | 환자의 정보를 기반으로 재원기간을 예측하는 장치, 방법 및 프로그램 | |
KR101330404B1 (ko) | 맥파를 이용한 건강 상태 판단 장치 및 방법 | |
KR102417448B1 (ko) | 머신 러닝 기반 잠복기별 치매 예측 방법, 그리고 이를 구현하기 위한 장치 | |
CN115295110A (zh) | 一种术后并发症预测系统及方法 | |
US20100171742A1 (en) | Method and Apparatus for Information Gathering and Display | |
US20200105386A1 (en) | Method and system to automate the designation of the international classification of disease codes for a patient | |
US20060287612A1 (en) | Method for simulating musculoskeletal strains on a patient | |
Liu et al. | Modeling and Recognition of Movement-Inducing Fatigue State Based on ECG Signal | |
Reid | Black-box machine learning: implications for healthcare | |
CN113782132B (zh) | 标签信息的动态更新方法、装置及介质 | |
Verma | CPS-heart: cyber-physical systems for cardiovascular diseases |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 21763776 Country of ref document: EP Kind code of ref document: A2 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 21763776 Country of ref document: EP Kind code of ref document: A2 |