WO2023129110A3 - Decision support system and method for liver transplant patients - Google Patents

Decision support system and method for liver transplant patients Download PDF

Info

Publication number
WO2023129110A3
WO2023129110A3 PCT/TR2022/051728 TR2022051728W WO2023129110A3 WO 2023129110 A3 WO2023129110 A3 WO 2023129110A3 TR 2022051728 W TR2022051728 W TR 2022051728W WO 2023129110 A3 WO2023129110 A3 WO 2023129110A3
Authority
WO
WIPO (PCT)
Prior art keywords
data
patient
liver
support
allows
Prior art date
Application number
PCT/TR2022/051728
Other languages
French (fr)
Other versions
WO2023129110A2 (en
Inventor
Ferhat BOZKURT
Gürkan Öztürk
Ercan KORKUT
Hakan EYGÜ
Mete YAĞANOĞLU
Necip ALTUNDAŞ
Nurhak AKSUNGUR
Salih KARA
Sinan KUL
Zühal YETİŞ DEMİR
Emrah Şi̇mşek
Mehmet Sinan BAŞAR
Nurinnisa ÖZTÜRK
Original Assignee
Atatürk Üni̇versi̇tesi̇ Bi̇li̇msel Araştirma Projeleri̇ Bi̇ri̇mi̇
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
Priority claimed from TR2021/022118 external-priority patent/TR2021022118A2/en
Application filed by Atatürk Üni̇versi̇tesi̇ Bi̇li̇msel Araştirma Projeleri̇ Bi̇ri̇mi̇ filed Critical Atatürk Üni̇versi̇tesi̇ Bi̇li̇msel Araştirma Projeleri̇ Bi̇ri̇mi̇
Publication of WO2023129110A2 publication Critical patent/WO2023129110A2/en
Publication of WO2023129110A3 publication Critical patent/WO2023129110A3/en

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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/40—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
    • 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
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • 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

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Data Mining & Analysis (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Urology & Nephrology (AREA)
  • Surgery (AREA)
  • Radiology & Medical Imaging (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The present invention comprises of the following; web application (1) that allows manual or automatic entry of the data in the patient's file, web services (3) that enable the digital data already in the hospital related to the patient and all other data related to the patient to be retrieved from the hospital information management system (HIMS), pre-processing module (10), which allows receiving hospital information management system (HMIS) data and manually/automatically incoming data, automatically arranging data by finding missing and inconsistent data, server (2) / computer that allows data to be kept while data entries are made, hosts a unique database, and enables the web application (1) to be published, classification module (4) that provides classification of labeled data with machine learning methods, decision support system (5) that provides model support, information support, software support, computational support, and analysis and statistical support to the doctor, along with the opportunity to access a decision-making mechanism with the system obtained from previous clinical data and completed training, doctor / nurse interface (6) that allows doctors and nurses to see patient data and disease processes and to make daily data entries - data transfers of the patient, statistical analysis module (7), which enables statistical analyzes on very large data and results formed by the combination of data belonging to all patients, image processing module (8), which enables the determination of the liver cross-section with image processing methods and provides the most appropriate liver cross-section for the new patient with the artificial intelligence model by using the data obtained from people who have had liver transplantation, and provides decision support to the doctor in this regard, liver adaptation module (9), which detects whether the liver is compatible with the human body or not by image processing, how long this transplanted liver can stay in the human body, and the estimation of the health status of the transplanted person with artificial intelligence methods.
PCT/TR2022/051728 2021-12-31 2022-12-30 Decision support system and method for liver transplant patients WO2023129110A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
TR2021022118 2021-12-31
TR2021/022118 TR2021022118A2 (en) 2021-12-31 Decision support system and method for liver transplant patients

Publications (2)

Publication Number Publication Date
WO2023129110A2 WO2023129110A2 (en) 2023-07-06
WO2023129110A3 true WO2023129110A3 (en) 2023-08-24

Family

ID=87000442

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/TR2022/051728 WO2023129110A2 (en) 2021-12-31 2022-12-30 Decision support system and method for liver transplant patients

Country Status (1)

Country Link
WO (1) WO2023129110A2 (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180308569A1 (en) * 2017-04-25 2018-10-25 S Eric Luellen System or method for engaging patients, coordinating care, pharmacovigilance, analysis or maximizing safety or clinical outcomes
CN110634571A (en) * 2019-09-20 2019-12-31 四川省人民医院 Prognosis prediction system after liver transplantation
US20210121122A1 (en) * 2019-10-26 2021-04-29 The Board Of Trustrees Of The Leland Stanford Junior University Quantification of Liver Steatosis from a biopsy using a Computer Imaging Platform
CN113140318A (en) * 2021-05-10 2021-07-20 中国人民解放军总医院第三医学中心 Lung infection risk prediction method after liver transplantation based on deep learning
TR202110576A2 (en) * 2021-06-29 2021-08-23 Oezel Npi Noeropsikiyatri Istanbul Saglik Egitim Danismanlik Yayincilik Insaat Sanayi Ve Ticaret Ano HOSPITAL INFORMATION MANAGEMENT SYSTEM BASED ON AI AND IMAGE PROCESSING

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180308569A1 (en) * 2017-04-25 2018-10-25 S Eric Luellen System or method for engaging patients, coordinating care, pharmacovigilance, analysis or maximizing safety or clinical outcomes
CN110634571A (en) * 2019-09-20 2019-12-31 四川省人民医院 Prognosis prediction system after liver transplantation
US20210121122A1 (en) * 2019-10-26 2021-04-29 The Board Of Trustrees Of The Leland Stanford Junior University Quantification of Liver Steatosis from a biopsy using a Computer Imaging Platform
CN113140318A (en) * 2021-05-10 2021-07-20 中国人民解放军总医院第三医学中心 Lung infection risk prediction method after liver transplantation based on deep learning
TR202110576A2 (en) * 2021-06-29 2021-08-23 Oezel Npi Noeropsikiyatri Istanbul Saglik Egitim Danismanlik Yayincilik Insaat Sanayi Ve Ticaret Ano HOSPITAL INFORMATION MANAGEMENT SYSTEM BASED ON AI AND IMAGE PROCESSING

Also Published As

Publication number Publication date
WO2023129110A2 (en) 2023-07-06

Similar Documents

Publication Publication Date Title
Hinck The lived experience of oldest-old rural adults
Grøthe et al. Acting with dedication and expertise: Relatives' experience of nurses' provision of care in a palliative unit
Siemionow et al. Institutional Review Board–Based Recommendations for Medical Institutions Pursuing Protocol Approval for Facial Transplantation
CN108281195A (en) A kind of management method and system of medical data
Duarte et al. Data quality evaluation of electronic health records in the hospital admission process
Schuind et al. The first Belgian hand transplantation—37 month term results
CN113345587A (en) Man-machine collaborative health case matching method and system based on chronic disease big data
PUTNAM Treatment of athetosis and dystonia by section of extrapyramidal motor tracts
KR20180055234A (en) Voice using the dental care system and methods
Friedman et al. National neurofibromatosis foundation international database
CN108549686A (en) A kind of intelligent regional medical information interconnection and intercommunication standard database framework based on software definition
Potts et al. The Institute of Medicine's report on non-heart-beating organ transplantation
WO2023129110A3 (en) Decision support system and method for liver transplant patients
CN117457162A (en) Emergency call sub-diagnosis method and system based on multi-encoder and multi-mode information fusion
CN116881413A (en) Intelligent medical question-answering method based on Chinese medical knowledge
Bhengu et al. Organ donation and transplantation within the Zulu culture
Atienza-Macías Some legal thoughts on transsexuality in the healthcare system after the new edition of the diagnostic and statistical manual of mental disorders (DSM)
Mihova et al. Milestone before/after analysis of telemedicine implementation
Purwanti et al. The impact of servant leadership in nursing practice at the hospital: A literature review
Turnbull et al. A comparative study of the impact of the COVID-19 crisis on the communication practices of end-of-life care workers.
Moon A integrated study on the current status and improvement direction of physician assistant
Parrish et al. Acanthamoeba keratitis following keratoplasty without other identifiable risk factors
Mahajan et al. Effective Diagnosis of Diseases through Symptoms Using Artificial Intelligence and Neural Network
Wang et al. Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory
Gappa et al. A step forward in supporting home care more effectively