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1.
Health Informatics J ; 16(4): 287-305, 2010 Dec.
Article in English | MEDLINE | ID: mdl-21216808

ABSTRACT

The aim of this investigation was to assess helpful and challenging aspects of electronic health information with respect to clinical workflow and identify a set of characteristics that support patient care processes. We conducted 20 semi-structured interviews at a Veterans Affairs Medical Center, with a fully implemented electronic health record (EHR), and elicited positive and negative examples of how information technology (IT) affects the work of healthcare employees. Responses naturally shed light on information characteristics that aid work processes. We performed a secondary analysis on interview data and inductively identified characteristics of electronic information that support healthcare workflow. Participants provided 199 examples of how electronic information affects workflow. Seventeen characteristics emerged along with four primary domains: trustworthy and reliable; ubiquitous; effectively displayed; and adaptable to work demands. Each characteristic may be used to help evaluate health information technology pre- and post-implementation. Results provide several strategies to improve EHR design and implementation to better support healthcare workflow.


Subject(s)
Attitude of Health Personnel , Electronic Health Records , Hospital Information Systems , Hospitals, Veterans/organization & administration , Workflow , Electronic Health Records/statistics & numerical data , Hospital Information Systems/statistics & numerical data , Humans , Interviews as Topic , Medical Order Entry Systems , Organizational Innovation , Patient Care , Personnel, Hospital
2.
Int J Med Inform ; 78(9): 618-28, 2009 Sep.
Article in English | MEDLINE | ID: mdl-19464231

ABSTRACT

OBJECTIVE: Healthcare organizations are increasingly implementing electronic health records (EHRs) and other related health information technology (IT). Even in institutions which have long adopted these computerized systems, employees continue to rely on paper to complete their work. The objective of this study was to explore and understand human-technology integration factors that may be causing employees to rely on paper alternatives to the EHR. METHODS: We conducted semi-structured interviews with 20 key-informants in a large Veterans Affairs Medical Center (VAMC), with a fully implemented EHR, to understand the use of paper-based alternatives. Participants included clinicians, administrators, and IT specialists across several service areas in the medical center. RESULTS: We found 11 distinct categories of paper-based workarounds to the use of the EHR. Paper use related to the following: (1) efficiency; (2) knowledge/skill/ease of use; (3) memory; (4) sensorimotor preferences; (5) awareness; (6) task specificity; (7) task complexity; (8) data organization; (9) longitudinal data processes; (10) trust; and (11) security. We define each of these and provide examples that demonstrate how these categories promoted paper use in spite of a fully implemented EHR. CONCLUSIONS: In several cases, paper served as an important tool and assisted healthcare employees in their work. In other cases, paper use circumvented the intended EHR design, introduced potential gaps in documentation, and generated possible paths to medical error. We discuss implications of these findings for EHR design and implementation.


Subject(s)
Documentation/statistics & numerical data , Medical History Taking/methods , Medical History Taking/statistics & numerical data , Medical Records Systems, Computerized/statistics & numerical data , Paper , Practice Patterns, Physicians'/statistics & numerical data , Indiana
3.
Implement Sci ; 2: 14, 2007 May 02.
Article in English | MEDLINE | ID: mdl-17475012

ABSTRACT

BACKGROUND: Monitoring and Messaging Devices (MMDs) are telehealth systems used by patients in their homes, and are designed to promote patient self-management, patient education, and clinical monitoring and follow-up activities. Although these systems have been widely promoted by health care systems, including the Veterans Health Administration, very little information is available on factors that facilitate use of the MMD system, or on barriers to use. METHODS: We conducted in-depth qualitative interviews with clinicians using MMD-based telehealth programs at two Veterans Affairs Medical Centers in the Midwestern United States. RESULTS: Findings suggest that MMD program enrollment is limited by both clinical and non-clinical factors, and that patients have varying levels of program participation and system use. Telehealth providers see MMDs as a useful tool for monitoring patients who are interested in working on management of their disease, but are concerned with technical challenges and the time commitment required to use MMDs. CONCLUSION: Telehealth includes a rapidly evolving and potentially promising range of technologies for meeting the growing number of patients and clinicians who face the challenges of diabetes care, and future research should explore the most effective means of ensuring successful program implementation.

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