Literature DB >> 16530489

A framework for systematic evaluation of health information infrastructure progress in communities.

Steven E Labkoff1, William A Yasnoff.   

Abstract

It is widely agreed that major improvements in the safety, quality, and efficiency of health care in the US require a National Health Information Infrastructure. To accomplish this, efforts are now underway in many communities to build local or regional health information infrastructures (HIIs) that provide secure, ubiquitous access to complete health care information. To facilitate the assessment and monitoring of the progress of operational HIIs toward completion, we propose a framework of four key measures of requirements that must be ultimately be met: (1) completeness of information, (2) degree of usage, (3) types of usage, and (4) financial sustainability. To evaluate the framework, it was used by the authors to qualitatively assess HII projects in cooperation with four leading communities, resulting in ratings of 78% for Bellingham, WA, 63% for Indianapolis, IN, 60% for South Bend, IN, and 74% for Spokane, WA. Qualitative assessment of community HII systems may be helpful in monitoring progress, comparing projects, and understanding the remaining tasks needed for completion. Additional testing and refinement of the proposed framework is needed to further understand and improve HII progress measurement capabilities.

Mesh:

Year:  2006        PMID: 16530489     DOI: 10.1016/j.jbi.2006.01.002

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  5 in total

Review 1.  What should we measure? Conceptualizing usage in health information exchange.

Authors:  Joshua R Vest; Jon Jasperson
Journal:  J Am Med Inform Assoc       Date:  2010 May-Jun       Impact factor: 4.497

2.  How are health professionals using health information exchange systems? Measuring usage for evaluation and system improvement.

Authors:  Joshua R Vest; 'jon Sean Jasperson
Journal:  J Med Syst       Date:  2011-11-30       Impact factor: 4.460

3.  Multi-level analysis of electronic health record adoption by health care professionals: a study protocol.

Authors:  Marie-Pierre Gagnon; Mathieu Ouimet; Gaston Godin; Michel Rousseau; Michel Labrecque; Yvan Leduc; Anis Ben Abdeljelil
Journal:  Implement Sci       Date:  2010-04-23       Impact factor: 7.327

4.  Health information exchange and healthcare utilization.

Authors:  Joshua R Vest
Journal:  J Med Syst       Date:  2009-06       Impact factor: 4.460

5.  Health information exchange implementation: lessons learned and critical success factors from a case study.

Authors:  Sue S Feldman; Benjamin L Schooley; Grishma P Bhavsar
Journal:  JMIR Med Inform       Date:  2014-08-15
  5 in total

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