Literature DB >> 16162574

Functional gaps in attaining a national health information network.

Rainu Kaushal1, David W Bates, Eric G Poon, Ashish K Jha, David Blumenthal.   

Abstract

We describe the health information technology (HIT) required for a model of a national health information network (NHIN). Specifically, we define the functional HIT capabilities of an attainable NHIN and determine the gap between the current state of HIT and its likely state in five years, given current trends of adoption. Administrative functionalities will be more prevalent than clinical functionalities in five years. Smaller stakeholders, such as home health care agencies, will lag in adoption. Policy changes, such as financial incentives to HIT end users or regulatory measures, may help accelerate the adoption of HIT for a model NHIN.

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Year:  2005        PMID: 16162574     DOI: 10.1377/hlthaff.24.5.1281

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  11 in total

1.  Adoption and utilization of electronic health record systems by long-term care facilities in Texas.

Authors:  Tiankai Wang; Sue Biedermann
Journal:  Perspect Health Inf Manag       Date:  2012-04-01

Review 2.  A systematic review of the performance characteristics of clinical event monitor signals used to detect adverse drug events in the hospital setting.

Authors:  Steven M Handler; Richard L Altman; Subashan Perera; Joseph T Hanlon; Stephanie A Studenski; James E Bost; Melissa I Saul; Douglas B Fridsma
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

3.  Cost of interconnecting health information exchanges to form a national network.

Authors:  Eric Pan; Caitlin M Cusack; Julie M Hook; Blackford Middleton
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

4.  Use of electronic information systems in nursing homes: United States, 2004.

Authors:  Helaine E Resnick; Barbara B Manard; Robyn I Stone; Majd Alwan
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

5.  Moving health information technology forward.

Authors:  Thomas D Sequist; David A Cook; Jennifer S Haas; Ronnie Horner; William M Tierney
Journal:  J Gen Intern Med       Date:  2008-04       Impact factor: 5.128

6.  Facility characteristics associated with the use of electronic health records in residential care facilities.

Authors:  Amanda A Holup; Debra Dobbs; Hongdao Meng; Kathryn Hyer
Journal:  J Am Med Inform Assoc       Date:  2013-05-03       Impact factor: 4.497

7.  Identifying patients with hypertension: a case for auditing electronic health record data.

Authors:  Adam Baus; Michael Hendryx; Cecil Pollard
Journal:  Perspect Health Inf Manag       Date:  2012-04-01

8.  Outside the box: will information technology be a viable intervention to improve the quality of cancer care?

Authors:  Bradford W Hesse; Christopher Hanna; Holly A Massett; Nicola K Hesse
Journal:  J Natl Cancer Inst Monogr       Date:  2010

9.  Peers, regulators, and professions: the influence of organizations in health information technology adoption.

Authors:  Thomas R Campion; Cynthia S Gadd
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

10.  Community-wide implementation of health information technology: the Massachusetts eHealth Collaborative experience.

Authors:  Allan H Goroll; Steven R Simon; Micky Tripathi; Carl Ascenzo; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

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