Literature DB >> 9929188

Identification of design features to enhance utilization and acceptance of systems for Internet-based decision support at the point of care.

C S Gadd1, P Baskaran, D F Lobach.   

Abstract

Extensive utilization of point-of-care decision support systems will be largely dependent on the development of user interaction capabilities that make them effective clinical tools in patient care settings. This research identified critical design features of point-of-care decision support systems that are preferred by physicians, through a multi-method formative evaluation of an evolving prototype of an Internet-based clinical decision support system. Clinicians used four versions of the system--each highlighting a different functionality. Surveys and qualitative evaluation methodologies assessed clinicians' perceptions regarding system usability and usefulness. Our analyses identified features that improve perceived usability, such as telegraphic representations of guideline-related information, facile navigation, and a forgiving, flexible interface. Users also preferred features that enhance usefulness and motivate use, such as an encounter documentation tool and the availability of physician instruction and patient education materials. In addition to identifying design features that are relevant to efforts to develop clinical systems for point-of-care decision support, this study demonstrates the value of combining quantitative and qualitative methods of formative evaluation with an iterative system development strategy to implement new information technology in complex clinical settings.

Entities:  

Mesh:

Year:  1998        PMID: 9929188      PMCID: PMC2232383     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  5 in total

Review 1.  Development and initial validation of an instrument to measure physicians' use of, knowledge about, and attitudes toward computers.

Authors:  R D Cork; W M Detmer; C P Friedman
Journal:  J Am Med Inform Assoc       Date:  1998 Mar-Apr       Impact factor: 4.497

2.  Structuring clinical practice guidelines in a relational database model for decision support on the Internet.

Authors:  D F Lobach; C S Gadd; J W Hales
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

3.  Cognitive evaluation of the user interface and vocabulary of an outpatient information system.

Authors:  A Kushniruk; V Patel; J J Cimino; R A Barrows
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

4.  Computerizing guidelines to improve care and patient outcomes: the example of heart failure.

Authors:  W M Tierney; J M Overhage; B Y Takesue; L E Harris; M D Murray; D L Vargo; C J McDonald
Journal:  J Am Med Inform Assoc       Date:  1995 Sep-Oct       Impact factor: 4.497

5.  Effect of clinical guidelines on medical practice: a systematic review of rigorous evaluations.

Authors:  J M Grimshaw; I T Russell
Journal:  Lancet       Date:  1993-11-27       Impact factor: 79.321

  5 in total
  11 in total

1.  Evolution of a mature clinical informationist model.

Authors:  Nunzia B Giuse; Taneya Y Koonce; Rebecca N Jerome; Molynda Cahall; Nila A Sathe; Annette Williams
Journal:  J Am Med Inform Assoc       Date:  2005-01-31       Impact factor: 4.497

2.  Comparing bedside information tools: a user-centered, task-oriented approach.

Authors:  Rose Campbell; Joan Ash
Journal:  AMIA Annu Symp Proc       Date:  2005

3.  An evaluation of five bedside information products using a user-centered, task-oriented approach.

Authors:  Rose Campbell; Joan Ash
Journal:  J Med Libr Assoc       Date:  2006-10

4.  AsthmaCritic: issues in designing a noninquisitive critiquing system for daily practice.

Authors:  Manon M Kuilboer; Marc A M van Wijk; Mees Mosseveld; Johan van der Lei
Journal:  J Am Med Inform Assoc       Date:  2003-06-04       Impact factor: 4.497

Review 5.  Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis.

Authors:  Saif Khairat; David Marc; William Crosby; Ali Al Sanousi
Journal:  JMIR Med Inform       Date:  2018-04-18

6.  A system uptake analysis and GUIDES checklist evaluation of the Electronic Asthma Management System: A point-of-care computerized clinical decision support system.

Authors:  Jeffrey Lam Shin Cheung; Natalie Paolucci; Courtney Price; Jenna Sykes; Samir Gupta
Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

7.  The Electronic Asthma Management System (eAMS) improves primary care asthma management.

Authors:  Samir Gupta; Courtney Price; Gina Agarwal; David Chan; Sanjeev Goel; Louis-Philippe Boulet; Alan G Kaplan; Gerald Lebovic; Muhammad Mamdani; Sharon E Straus
Journal:  Eur Respir J       Date:  2019-04-25       Impact factor: 16.671

8.  Clinician acceptance of complex clinical decision support systems for treatment allocation of patients with chronic low back pain.

Authors:  Stephanie Jansen-Kosterink; Lex van Velsen; Miriam Cabrita
Journal:  BMC Med Inform Decis Mak       Date:  2021-04-27       Impact factor: 2.796

9.  Barriers and Facilitators to Adoption of a Web-based Antibiotic Decision Support System.

Authors:  Syed Tabish Razi Zaidi; Jennifer L Marriott
Journal:  South Med Rev       Date:  2012-12-27

Review 10.  Diagnosis of Rare Diseases: a scoping review of clinical decision support systems.

Authors:  Jannik Schaaf; Martin Sedlmayr; Johanna Schaefer; Holger Storf
Journal:  Orphanet J Rare Dis       Date:  2020-09-24       Impact factor: 4.123

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