Clinical Decision Support Systems Used in Transplantation: Are They Tools for Success or an Unnecessary Gadget? A Systematic Review

被引:0
|
作者
Wingfield, Laura R. [1 ,5 ]
Salaun, Achille [2 ]
Khan, Aparajita [3 ]
Webb, Helena [4 ]
Zhu, Tingting [2 ]
Knight, Simon [1 ]
机构
[1] Univ Oxford, Nuffield Dept Surg Sci, Oxford, England
[2] Univ Oxford, Dept Engn Sci, Oxford, England
[3] Stanford Univ, Dept Neurosurg, Stanford, CA USA
[4] Univ Nottingham, Sch Comp Sci, Nottingham, England
[5] Univ Oxford, John Radcliffe Hosp, Nuffield Dept Surg Sci, Gen Surg & Transplant Surg, Room 6607,Level 6, Oxford OX3 9DU, England
关键词
RANDOMIZED CONTROLLED-TRIAL; MOBILE HEALTH INTERVENTION; PULMONARY-FUNCTION; HEART-TRANSPLANT; SELF-MANAGEMENT; HOME SPIROMETRY; RECIPIENTS; KIDNEY; ADHERENCE; TECHNOLOGY;
D O I
10.1097/TP.0000000000004627
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Although clinical decision support systems (CDSSs) have been used since the 1970s for a wide variety of clinical tasks including optimization of medication orders, improved documentation, and improved patient adherence, to date, no systematic reviews have been carried out to assess their utilization and efficacy in transplant medicine. The aim of this study is to systematically review studies that utilized a CDSS and assess impact on patient outcomes. A total of 48 articles were identified as meeting the author-derived inclusion criteria, including tools for posttransplant monitoring, pretransplant risk assessment, waiting list management, immunosuppressant management, and interpretation of histopathology. Studies included 15 984 transplant recipients. Tools aimed at helping with transplant patient immunosuppressant management were the most common (19 studies). Thirty-four studies (85%) found an overall clinical benefit following the implementation of a CDSS in clinical practice. Although there are limitations to the existing literature, current evidence suggests that implementing CDSS in transplant clinical settings may improve outcomes for patients. Limited evidence was found using more advanced technologies such as artificial intelligence in transplantation, and future studies should investigate the role of these emerging technologies.
引用
收藏
页码:72 / 99
页数:28
相关论文
共 50 条
  • [31] XAI-Based Clinical Decision Support Systems: A Systematic Review
    Kim, Se Young
    Kim, Dae Ho
    Kim, Min Ji
    Ko, Hyo Jin
    Jeong, Ok Ran
    [J]. APPLIED SCIENCES-BASEL, 2024, 14 (15):
  • [32] A systematic review of trials evaluating success factors of interventions with computerised clinical decision support
    Stijn Van de Velde
    Annemie Heselmans
    Nicolas Delvaux
    Linn Brandt
    Luis Marco-Ruiz
    David Spitaels
    Hanne Cloetens
    Tiina Kortteisto
    Pavel Roshanov
    Ilkka Kunnamo
    Bert Aertgeerts
    Per Olav Vandvik
    Signe Flottorp
    [J]. Implementation Science, 13
  • [33] A systematic review of trials evaluating success factors of interventions with computerised clinical decision support
    Van de Velde, Stijn
    Heselmans, Annemie
    Delvaux, Nicolas
    Brandt, Linn
    Marco-Ruiz, Luis
    Spitaels, David
    Cloetens, Hanne
    Kortteisto, Tiina
    Roshanov, Pavel
    Kunnamo, Ilkka
    Aertgeerts, Bert
    Vandvik, Per Olav
    Flottorp, Signe
    [J]. IMPLEMENTATION SCIENCE, 2018, 13
  • [34] Factors influencing implementation success of guideline-based clinical decision support systems: A systematic review and gaps analysis
    Kilsdonk, E.
    Peute, L. W.
    Jaspers, M. W. M.
    [J]. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2017, 98 : 56 - 64
  • [35] Clinical decision support in clinical practice: A systematic review
    Esho, A.
    Choy, K. W.
    Loh, T. P.
    [J]. CLINICA CHIMICA ACTA, 2024, 558
  • [36] The appropriateness of clinical decision support systems alerts in supporting clinical workflows: A systematic review
    Olakotan, Olufisayo Olusegun
    Yusof, Maryati Mohd
    [J]. HEALTH INFORMATICS JOURNAL, 2021, 27 (02)
  • [37] AI TOOLS IN DECISION MAKING SUPPORT SYSTEMS: A REVIEW
    Phillips-Wren, Gloria
    [J]. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2012, 21 (02)
  • [38] Decision Support Systems in Cardiology: A Systematic Review
    Dudchenko, Aleksey
    Kopanitsa, Georgy
    [J]. PHEALTH 2017, 2017, 237 : 209 - 214
  • [39] Methods used to evaluate usability of mobile clinical decision support systems for healthcare emergencies: a systematic review and qualitative synthesis
    Wohlgemut, Jared M.
    Pisirir, Erhan
    Kyrimi, Evangelia
    Stoner, Rebecca S.
    Marsh, William
    Perkins, Zane B.
    Tai, Nigel R. M.
    [J]. JAMIA OPEN, 2023, 6 (03)
  • [40] Knowledge discovery in clinical decision support systems for pain management: A systematic review
    Pombo, Nuno
    Araujo, Pedro
    Viana, Joaquim
    [J]. ARTIFICIAL INTELLIGENCE IN MEDICINE, 2014, 60 (01) : 1 - 11