Literature DB >> 24551330

Patient encounters and care transitions in one community supported by automated query-based health information exchange.

Thomas R Campion1, Joshua R Vest2, Jessica S Ancker1, Rainu Kaushal3.   

Abstract

Care transitions from one facility to another threaten patient safety due to the potential loss of critical clinical information. Electronic clinical data exchange may address the problem. Approaches to exchange range from manual directed exchange, or sending point-to-point messages, to automated query-based health information exchange (HIE), or aggregating data from multiple sources. In this study, we measured the extent to which automated query-based HIE supported patient encounters and care transitions in one community. During the 23-month study period, 41% (n=33,219) of affirmatively consented patients had at least one encounter supported by automated query-based HIE. Of these patients, 41% (n=13,685) visited two or more facilities and accounted for 68% of total encounters. Of total encounters, 28% (n=40,828) were care transitions from one facility to another. Findings suggest that automated query-based HIE may support care transitions with efficient information sharing and assist United States providers in achieving stage two of meaningful use.

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Mesh:

Year:  2013        PMID: 24551330      PMCID: PMC3900171     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  29 in total

1.  Health-information exchange: why are we doing it, and what are we doing?

Authors:  Gilad J Kuperman
Journal:  J Am Med Inform Assoc       Date:  2011-06-14       Impact factor: 4.497

2.  Care transitions as opportunities for clinicians to use data exchange services: how often do they occur?

Authors:  Robert S Rudin; Claudia A Salzberg; Peter Szolovits; Lynn A Volk; Steven R Simon; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2011-04-28       Impact factor: 4.497

3.  Medicare and Medicaid programs; electronic health record incentive program--stage 2. Final rule.

Authors: 
Journal:  Fed Regist       Date:  2012-09-04

4.  Push and pull: physician usage of and satisfaction with health information exchange.

Authors:  Thomas R Campion; Jessica S Ancker; Alison M Edwards; Vaishali N Patel; Rainu Kaushal
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

5.  What Affects Clinicians' Usage of Health Information Exchange?

Authors:  R Rudin; L Volk; S Simon; D Bates
Journal:  Appl Clin Inform       Date:  2011-01-01       Impact factor: 2.342

6.  Transitioning the older adult in the ambulatory care setting.

Authors:  Joan M Nelson; Jane M Carrington
Journal:  AORN J       Date:  2011-10       Impact factor: 0.676

7.  All health care is not local: an evaluation of the distribution of Emergency Department care delivered in Indiana.

Authors:  John T Finnell; J Marc Overhage; Shaun Grannis
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

8.  From the emergency department to home.

Authors:  Mary E Dunnion; Billy Kelly
Journal:  J Clin Nurs       Date:  2005-07       Impact factor: 3.036

9.  Shifts in the architecture of the Nationwide Health Information Network.

Authors:  Leslie Lenert; David Sundwall; Michael Edward Lenert
Journal:  J Am Med Inform Assoc       Date:  2012-01-21       Impact factor: 4.497

10.  The financial impact of health information exchange on emergency department care.

Authors:  Mark E Frisse; Kevin B Johnson; Hui Nian; Coda L Davison; Cynthia S Gadd; Kim M Unertl; Pat A Turri; Qingxia Chen
Journal:  J Am Med Inform Assoc       Date:  2011-11-04       Impact factor: 4.497

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  9 in total

1.  Health Information Exchange Readiness for Demonstrating Return on Investment and Quality of Care.

Authors:  Anjum Khurshid; Mark L Diana; Rahul Jain
Journal:  Perspect Health Inf Manag       Date:  2015-11-01

2.  Adoption of clinical data exchange in community settings: a comparison of two approaches.

Authors:  Thomas R Campion; Joshua R Vest; Lisa M Kern; Rainu Kaushal
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

3.  Patient crossover and potentially avoidable repeat computed tomography exams across a health information exchange.

Authors:  Benjamin H Slovis; Tina Lowry; Bradley N Delman; Anton Oscar Beitia; Gilad Kuperman; Charles DiMaggio; Jason S Shapiro
Journal:  J Am Med Inform Assoc       Date:  2016-05-13       Impact factor: 4.497

4.  When Should ED Physicians Use an HIE? Predicting Presence of Patient Data in an HIE.

Authors:  Christine Marie Carr; Steven Howard Saef; Jingwen Zhang; Zemin Su; Cathy L Melvin; Jihad S Obeid; Wenle Zhao; J Christophe Arnaud; Justin Marsden; Adam B Sendor; Leslie Lenert; William P Moran; Patrick D Mauldin
Journal:  South Med J       Date:  2016-07       Impact factor: 0.954

5.  Health Information Exchange Use (1990-2015): A Systematic Review.

Authors:  Emily Beth Devine; Annette M Totten; Paul Gorman; Karen B Eden; Steven Kassakian; Susan Woods; Monica Daeges; Miranda Pappas; Marian McDonagh; William R Hersh
Journal:  EGEMS (Wash DC)       Date:  2017-12-07

6.  The implications and impact of 3 approaches to health information exchange: community, enterprise, and vendor-mediated health information exchange.

Authors:  Jordan Everson
Journal:  Learn Health Syst       Date:  2017-01-06

7.  Usage of query-based health information exchange after event notifications.

Authors:  Joshua R Vest; Katy Ellis Hilts; Jessica S Ancker; Mark Aaron Unruh; Hye-Young Jung
Journal:  JAMIA Open       Date:  2019-08-01

Review 8.  Inclusion of Older Adults in Digital Health Technologies to Support Hospital-to-Home Transitions: Secondary Analysis of a Rapid Review and Equity-Informed Recommendations.

Authors:  Kristina Marie Kokorelias; Michelle LA Nelson; Terence Tang; Carolyn Steele Gray; Moriah Ellen; Donna Plett; Carlotta Micaela Jarach; Jason Xin Nie; Kednapa Thavorn; Hardeep Singh
Journal:  JMIR Aging       Date:  2022-04-27

9.  Health information exchange associated with improved emergency department care through faster accessing of patient information from outside organizations.

Authors:  Jordan Everson; Keith E Kocher; Julia Adler-Milstein
Journal:  J Am Med Inform Assoc       Date:  2017-04-01       Impact factor: 4.497

  9 in total

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