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
  • [31] MoCab: A Model Management System Based on FHIR for Clinical Decision Support
    Kuo, Zhe-Ming
    Tseng, Yi-Ju
    MEDINFO 2023 - THE FUTURE IS ACCESSIBLE, 2024, 310 : 1384 - 1385
  • [32] The Use of Evidence-Based, Problem-Oriented Templates as a Clinical Decision Support in an Inpatient Electronic Health Record System
    Mehta, Raj
    Radhakrishnan, Nila S.
    Warring, Carrie D.
    Jain, Ankur
    Fuentes, Jorge
    Dolganiuc, Angela
    Lourdes, Laura S.
    Busigin, John
    Leverence, Robert R.
    APPLIED CLINICAL INFORMATICS, 2016, 7 (03): : 790 - 802
  • [33] Comprehensive evidence-based clinical practice guidelines for ventilator-associated pneumonia: Prevention
    Muscedere, John
    Dodek, Peter
    Keenan, Sean
    Fowler, Rob
    Cook, Deborah
    Heyland, Daren
    JOURNAL OF CRITICAL CARE, 2008, 23 (01) : 126 - 137
  • [34] A practical approach to evidence-based dentistry: VII How to use patient management recommendations from clinical practice guidelines
    Carrasco-Labra, Alonso
    Brignardello-Petersen, Romina
    Glick, Michael
    Guyatt, Gordon H.
    Neumann, Ignacio
    Azarpazhooh, Amir
    JOURNAL OF THE AMERICAN DENTAL ASSOCIATION, 2015, 146 (05) : 327 - +
  • [35] A unique framework for the Persian clinical guidelines: addressing an evidence-based CDSS development need
    Karim, Hesam
    Ravandi, Mohammad Hosseini
    Zandesh, Zahra
    Naserpoor, Ahmad
    Yasini, Mobin
    Kalhori, Sharareh R. Niakan
    Mousavinasab, Elham
    BMJ EVIDENCE-BASED MEDICINE, 2020, 25 (01) : 22 - 26
  • [36] Provider Attitudes Associated With Adherence to Evidence-Based Clinical Guidelines in a Managed Care Setting
    Waddimba, Anthony C.
    Meterko, Mark
    Beckman, Howard B.
    Young, Gary J.
    Burgess, James F., Jr.
    MEDICAL CARE RESEARCH AND REVIEW, 2010, 67 (01) : 93 - 116
  • [37] Descriptive Usability Study of CirrODS: Clinical Decision and Workflow Support Tool for Management of Patients With Cirrhosis
    Garvin, Jennifer Hornung
    Ducom, Julie
    Matheny, Michael
    Miller, Anne
    Westerman, Dax
    Reale, Carrie
    Slagle, Jason
    Kelly, Natalie
    Beebe, Russ
    Koola, Jejo
    Groessl, Erik J.
    Patterson, Emily S.
    Weinger, Matthew
    Perkins, Amy M.
    Ho, Samuel B.
    JMIR MEDICAL INFORMATICS, 2019, 7 (03)
  • [38] Participatory Approach to Develop Evidence-Based Clinical Ethics Guidelines for the Care of COVID-19 Patients: A Mixed Method Study From Nepal
    Bhattarai, Suraj
    Adhikari, Anurag
    Rayamajhee, Binod
    Dhungana, Jaya
    Singh, Minu
    Koirala, Sarun
    Shakya, Dhana Ratna
    FRONTIERS IN PUBLIC HEALTH, 2022, 10
  • [39] Evidence-based artificial intelligence: Implementing retrieval-augmented generation models to enhance clinical decision support in plastic surgery
    Ozmen, Berk B.
    Mathur, Piyush
    JOURNAL OF PLASTIC RECONSTRUCTIVE AND AESTHETIC SURGERY, 2025, 104 : 414 - 416
  • [40] Methodology for Developing Evidence-Based Clinical Imaging Guidelines: Joint Recommendations by Korean Society of Radiology and National Evidence-Based Healthcare Collaborating Agency
    Choi, Sol Ji
    Jeong, Woo Kyoung
    Jo, Ae Jeong
    Choi, Jin A.
    Kim, Min-Jeong
    Lee, Min
    Jung, Seung Eun
    Do, Kyung Hyun
    Yong, Hwan Seok
    Sheen, Seungsoo
    Choi, Miyoung
    Baek, Jung Hwan
    KOREAN JOURNAL OF RADIOLOGY, 2017, 18 (01) : 208 - 216