Literature DB >> 29854213

Leveraging Health Information Exchange to Construct a Registry for Traumatic Brain Injury, Spinal Cord Injury and Stroke in Indiana.

Saurabh Rahurkar1, Timothy D McFarlane2, Jane Wang1, Sarah Hoover1, Flora Hammond3, Jacob Kean4, Brian E Dixon1,2,5.   

Abstract

Traumatic brain injury (TBI), spinal cord injury (SCI) and stroke are conditions of interest to public health as they can result in long-term outcomes and disabilities. Specialized registries can facilitate public health surveillance, however only 4% of hospitals in the United States actively engage in electronic reporting to these registries. We leveraged electronic claims and clinical data from a health information exchange to create a statewide TBI/SCI/Stroke registry to facilitate the study of long-term outcomes and health services utilization. The registry contains 109,943 TBI patients, 9,027 SCI patients and 117,084 stroke patients with a mean of 3 years of follow-up data after injury. Additionally, the registry contains data on individual patient encounters, prescriptions and clinical variables. The high-dimensional data with large sample sizes may present a valuable informatics resource for injury research as well as public health surveillance.

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Year:  2018        PMID: 29854213      PMCID: PMC5977570     

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


  14 in total

1.  Pulling back the covers: technical lessons of a real-world health information exchange.

Authors:  Atif Zafar; Brian E Dixon
Journal:  Stud Health Technol Inform       Date:  2007

2.  Prevalence of long-term disability from traumatic brain injury in the civilian population of the United States, 2005.

Authors:  Eduard Zaloshnja; Ted Miller; Jean A Langlois; Anbesaw W Selassie
Journal:  J Head Trauma Rehabil       Date:  2008 Nov-Dec       Impact factor: 2.710

Review 3.  Despite the spread of health information exchange, there is little evidence of its impact on cost, use, and quality of care.

Authors:  Saurabh Rahurkar; Joshua R Vest; Nir Menachemi
Journal:  Health Aff (Millwood)       Date:  2015-03       Impact factor: 6.301

4.  Surveillance for traumatic brain injury-related deaths--United States, 1997-2007.

Authors:  Victor G Coronado; Likang Xu; Sridhar V Basavaraju; Lisa C McGuire; Marlena M Wald; Mark D Faul; Bernardo R Guzman; John D Hemphill
Journal:  MMWR Surveill Summ       Date:  2011-05-06

Review 5.  Stroke declines from third to fourth leading cause of death in the United States: historical perspective and challenges ahead.

Authors:  Amytis Towfighi; Jeffrey L Saver
Journal:  Stroke       Date:  2011-07-21       Impact factor: 7.914

6.  The Indiana network for patient care: an integrated clinical information system informed by over thirty years of experience.

Authors:  Paul G Biondich; Shaun J Grannis
Journal:  J Public Health Manag Pract       Date:  2004-11

Review 7.  Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1.

Authors:  Amber Stubbs; Christopher Kotfila; Özlem Uzuner
Journal:  J Biomed Inform       Date:  2015-07-28       Impact factor: 6.317

8.  Implementing syndromic surveillance: a practical guide informed by the early experience.

Authors:  Kenneth D Mandl; J Marc Overhage; Michael M Wagner; William B Lober; Paola Sebastiani; Farzad Mostashari; Julie A Pavlin; Per H Gesteland; Tracee Treadwell; Eileen Koski; Lori Hutwagner; David L Buckeridge; Raymond D Aller; Shaun Grannis
Journal:  J Am Med Inform Assoc       Date:  2003-11-21       Impact factor: 4.497

9.  Incidence of long-term disability following traumatic brain injury hospitalization, United States, 2003.

Authors:  Anbesaw W Selassie; Eduard Zaloshnja; Jean A Langlois; Ted Miller; Paul Jones; Claudia Steiner
Journal:  J Head Trauma Rehabil       Date:  2008 Mar-Apr       Impact factor: 2.710

10.  Large-scale evaluation of automated clinical note de-identification and its impact on information extraction.

Authors:  Louise Deleger; Katalin Molnar; Guergana Savova; Fei Xia; Todd Lingren; Qi Li; Keith Marsolo; Anil Jegga; Megan Kaiser; Laura Stoutenborough; Imre Solti
Journal:  J Am Med Inform Assoc       Date:  2012-08-02       Impact factor: 4.497

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  1 in total

1.  A step closer to nationwide electronic health record-based chronic disease surveillance: characterizing asthma prevalence and emergency department utilization from 100 million patient records through a novel multisite collaboration.

Authors:  Yasir Tarabichi; Jake Goyden; Rujia Liu; Steven Lewis; Joseph Sudano; David C Kaelber
Journal:  J Am Med Inform Assoc       Date:  2020-01-01       Impact factor: 4.497

  1 in total

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