Human Factors Based Recommendations for the Design of Medication Related Clinical Decision Support Systems (CDSS)

被引:11
|
作者
Pelayo, Sylvia [1 ]
Marcilly, Romaric [1 ]
Bernonville, Stephanie [1 ]
Leroy, Nicolas [1 ]
Beuscart-Zephir, Marie-Catherine [1 ]
机构
[1] INSERM CIC IT, Lille, France
来源
关键词
Adverse drug event; Clinical Decision Support Systems; Software design; Monitoring and clinical context; Human factors; ERRORS;
D O I
10.3233/978-1-60750-806-9-412
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
This study is part of a research project aiming at developing advanced functions of medication related CDSS to support the monitoring of patients' therapeutic treatments based mainly on corresponding lab values. We adopted a user-centred approach to the design of these advanced CDSS functions. We collected existing recommendations in the literature and completed previous Human Factors (HF) field studies and analyses by focused observations and modeling. We present resulting HF based recommendations for the design of such advanced medication CDSS and focus more specifically on two innovative high level recommendations completing those already existing in the literature. For illustration purposes, an example of the operationalization of one of the recommendation is presented.
引用
收藏
页码:412 / 416
页数:5
相关论文
共 50 条
  • [41] The effect of a clinical decision support system (CDSS) on the number and type of consultations of clinical pharmacists
    Duisenberg, M.
    Maat, B.
    van den Bemt, P.
    INTERNATIONAL JOURNAL OF CLINICAL PHARMACY, 2020, 42 (01) : 251 - 251
  • [42] A concept-based medication vocabulary for clinical decision support
    Broverman, C
    TOWARD AN ELECTRONIC PATIENT RECORD '98 CONFERENCE AND EXPOSITION, PROCEEDINGS - VOLS 1-3, 1998, : B115 - B125
  • [43] Clinical rules and decision support systems for medication safety: the future is now
    Grouls, Rene J. E.
    EJHP PRACTICE, 2011, 17 (05): : 30 - 30
  • [44] Usability of a Human Factors-based Clinical Decision Support in the Emergency Department: Lessons Learned for Design and Implementation
    Salwei, Megan E.
    Hoonakker, Peter
    Carayon, Pascale
    Wiegmann, Douglas
    Pulia, Michael
    Patterson, Brian W.
    HUMAN FACTORS, 2024, 66 (03) : 647 - 657
  • [45] Human factors applications in the design of decision support systems for population health: a scoping review
    Vasquez, Holland Marie
    Pianarosa, Emilie
    Sirbu, Renee
    Diemert, Lori M.
    Cunningham, Heather, V
    Donmez, Birsen
    Rosella, Laura C.
    BMJ OPEN, 2022, 12 (04):
  • [46] A Framework to Design Successful Clinical Decision Support Systems
    Zikos, Dimitrios
    10TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS (PETRA 2017), 2017, : 185 - 188
  • [47] Explainability Design Patterns in Clinical Decision Support Systems
    Naiseh, Mohammad
    RESEARCH CHALLENGES IN INFORMATION SCIENCE (RCIS 2020), 2020, 385 : 613 - 620
  • [48] Evaluating clinical decision support software (CDSS): challenges for robust evidence generation
    Laka, Mah
    Carter, Drew
    Merlin, Tracy
    INTERNATIONAL JOURNAL OF TECHNOLOGY ASSESSMENT IN HEALTH CARE, 2024, 40 (01)
  • [49] Decision support systems, human factors and hypointegrated enterprises
    Filip, FG
    LARGE SCALE SYSTEMS: THEORY AND APPLICATIONS 1998 (LSS'98), VOL 1, 1999, : 399 - 403
  • [50] The design of decisions: Matching clinical decision support recommendations to Nielsen's design heuristics
    Miller, Kristen
    Capan, Muge
    Weldon, Danielle
    Noaiseh, Yaman
    Kowalski, Rebecca
    Kraft, Rachel
    Schwartz, Sanford
    Weintraub, William S.
    Arnold, Ryan
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2018, 117 : 19 - 25