Transforming evidence-based clinical guidelines into implementable clinical decision support services: the CAREPATH study for multimorbidity management

被引:0
|
作者
Gencturk, Mert [1 ]
Erturkmen, Gokce B. Laleci [1 ]
Akpinar, A. Emre [1 ,2 ]
Pournik, Omid [3 ]
Ahmad, Bilal [3 ]
Arvanitis, Theodoros N. [3 ,4 ]
Schmidt-Barzynski, Wolfgang [5 ]
Robbins, Tim [4 ]
Corcoles, Ruben Alcantud [6 ,7 ]
Abizanda, Pedro [6 ,7 ,8 ]
机构
[1] SRDC Software Res Dev & Consultancy Corp, Ankara, Turkiye
[2] Middle East Tech Univ, Dept Comp Engn, Ankara, Turkiye
[3] Univ Birmingham, Sch Engn, Dept Elect Elect & Syst Engn, Birmingham, England
[4] Univ Hosp Coventry & Warwickshire NHS Trust, Digital & Data Driven Res Unit, Coventry, England
[5] Univ Hosp OWL, Bielefeld, Germany
[6] Complejo Hospitalario Univ Albacete, Geriatr Dept, Albacete, Spain
[7] Inst Salud Carlos III, CIBER Fragil & Envejecimiento Saludable CIBERFES, Madrid, Spain
[8] Univ Castilla La Mancha, Fac Med Albacete, Albacete, Spain
关键词
clinical decision support; clinical guideline; automation; integrated care; multimorbidity; dementia; HL7; FHIR; HEALTH; CHALLENGES; PREVENTION; SOCIETY; UPDATE;
D O I
10.3389/fmed.2024.1386689
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction The CAREPATH Project aims to develop a patient-centered integrated care platform tailored to older adults with multimorbidity, including mild cognitive impairment (MCI) or mild dementia. Our goal is to empower multidisciplinary care teams to craft personalized holistic care plans while adhering to evidence-based guidelines. This necessitates the creation of clear specifications for clinical decision support (CDS) services, consolidating guidance from multiple evidence-based clinical guidelines. Thus, a co-creation approach involving both clinical and technical experts is essential.Methods This paper outlines a robust methodology for generating implementable specifications for CDS services to automate clinical guidelines. We have established a co-creation framework to facilitate collaborative exploration of clinical guidelines between clinical experts and software engineers. We have proposed an open, repeatable, and traceable method for translating evidence-based guideline narratives into implementable specifications of CDS services. Our approach, based on international standards such as CDS-Hooks and HL7 FHIR, enhances interoperability and potential adoption of CDS services across diverse healthcare systems.Results This methodology has been followed to create implementable specifications for 65 CDS services, automating CAREPATH consensus guideline consolidating guidance from 25 selected evidence-based guidelines. A total of 296 CDS rules have been formally defined, with input parameters defined as clinical concepts bound to FHIR resources and international code systems. Outputs include 346 well-defined CDS Cards, offering clear guidance for care plan activities and goal suggestions. These specifications have led to the implementation of 65 CDS services integrated into the CAREPATH Adaptive Integrated Care Platform.Discussion Our methodology offers a systematic, replicable process for generating CDS specifications, ensuring consistency and reliability across implementation. By fostering collaboration between clinical expertise and technical proficiency, we enhance the quality and relevance of generated specifications. Clear traceability enables stakeholders to track the development process and ensure adherence to guideline recommendations.
引用
收藏
页数:22
相关论文
共 50 条
  • [1] Towards Evidence-based Argumentation Graph for Clinical Decision Support
    Xiao, Liang
    2022 IEEE 35TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), 2022, : 400 - 405
  • [2] Measuring Clinical Decision Support Influence on Evidence-Based Nursing Practice
    Cortez, Susan
    Dietrich, Mary S.
    Wells, Nancy
    ONCOLOGY NURSING FORUM, 2016, 43 (04) : E170 - E177
  • [3] Computerized clinical decision support: A technology to implement and validate evidence based guidelines
    Sucher, Joseph F.
    Moore, Frederick A.
    Todd, S. Rob
    Sailors, R. Matthew
    McKinley, Bruce A.
    JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE, 2008, 64 (02): : 520 - 537
  • [4] Multifunctional Clinical Decision Support System Based on Clinical Practice Guidelines
    Nazarenko, G. I.
    Sychev, D. A.
    Kleymenova, E. B.
    Payushik, S. A.
    Akhmetova, A. I.
    Yashina, L. P.
    2015 INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND COMPUTATIONAL TECHNOLOGIES (SIBIRCON), 2015, : 72 - 75
  • [5] EVIDENCE-BASED MEDICINE, CLINICAL PRACTICE GUIDELINES, AND COMMON SENSE IN THE MANAGEMENT OF OSTEOPOROSIS
    Lewiecki, E. Michael
    Binkley, Neil
    ENDOCRINE PRACTICE, 2009, 15 (06) : 573 - 579
  • [6] A digital twin model for evidence-based clinical decision support in multiple myeloma treatment
    Grieb, Nora
    Schmierer, Lukas
    Kim, Hyeon Ung
    Strobel, Sarah
    Schulz, Christian
    Meschke, Tim
    Kubasch, Anne Sophie
    Brioli, Annamaria
    Platzbecker, Uwe
    Neumuth, Thomas
    Merz, Maximilian
    Oeser, Alexander
    FRONTIERS IN DIGITAL HEALTH, 2023, 5
  • [7] Developing a framework for evidence-based grading and assessment of predictive tools for clinical decision support
    Mohamed Khalifa
    Farah Magrabi
    Blanca Gallego
    BMC Medical Informatics and Decision Making, 19
  • [8] Developing a framework for evidence-based grading and assessment of predictive tools for clinical decision support
    Khalifa, Mohamed
    Magrabi, Farah
    Gallego, Blanca
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2019, 19 (01)
  • [9] Evidence-based clinical practice guidelines on the management of pain in older people - a summary report
    Dunham, Margaret
    Schofield, Patricia
    Knaggs, Roger
    BRITISH JOURNAL OF PAIN, 2022, 16 (01) : 6 - 13
  • [10] Standardizing management of hepatocellular carcinoma in China: Devising evidence-based clinical practice guidelines
    Song, Peipei
    BIOSCIENCE TRENDS, 2013, 7 (05) : 250 - 252