scholarly journals 300 The Effect of Reviewing Health Information Exchange Data on Emergency Department Care Times and Imaging

2018 ◽  
Vol 72 (4) ◽  
pp. S118
Author(s):  
B.H. Slovis ◽  
K.S. London ◽  
F.T. Randolph ◽  
M. Aini ◽  
J.C. Kairys ◽  
...  
Keyword(s):  
Emergency Department ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Emergency Department Care ◽  
Exchange Data

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

2016 ◽  
Vol 24 (e1) ◽  
pp. e103-e110 ◽  
Author(s):  
Jordan Everson ◽  
Keith E Kocher ◽  
Julia Adler-Milstein
Keyword(s):  
Emergency Department ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Access Time ◽  
Emergency Department Care ◽  
Percentage Points ◽  
Care Processes ◽  
Electronic Health ◽  
The Relationship

Objective: To assess whether electronic health information exchange (HIE) is associated with improved emergency department (ED) care processes and utilization through more timely clinician viewing of information from outside organizations. Materials and Methods: Our data included 2163 patients seen in the ED of a large academic medical center for whom clinicians requested and viewed outside information from February 14, 2014, to February 13, 2015. Outside information requests w.ere fulfilled via HIE (Epic’s Care Everywhere) or fax/scan to the electronic health record (EHR). We used EHR audit data to capture the time between the information request and when a clinician accessed the data. We assessed whether the relationship between method of information return and ED outcomes (length of visit, odds of imaging [computed tomography (CT), magnetic resonance imaging (MRI), radiographs] and hospitalization, and total charges) was mediated by request-to-access time, controlling for patient demographics, case mix, and acuity. Results: In multivariate analysis, there was no direct association between return of information via HIE vs fax/scan and ED outcomes. HIE was associated with faster outside information access (58.5 minutes on average), and faster access was associated with changes in ED care. For each 1-hour reduction in access time, visit length was 52.9 minutes shorter, the likelihood of imaging was lower (by 2.5, 1.6, and 2.4 percentage points for CT, MRI, and radiographs, respectively), the likelihood of admission was 2.4 percentage points lower, and average charges were $1187 lower (P ≤ .001 for all). Conclusion: The relationship between HIE and improved care processes and reduced utilization in the ED is mediated by faster accessing of information from outside organizations.

Observational Study and Estimate of Cost Savings from Use of a Health Information Exchange in an Academic Emergency Department

2014 ◽  
Vol 46 (2) ◽  
pp. 250-256 ◽  
Author(s):  
Christine Marie Carr ◽  
Charles Samuel Gilman ◽  
Diann Marie Krywko ◽  
Haley Elizabeth Moore ◽  
Brenda J. Walker ◽  
...  
Keyword(s):  
Emergency Department ◽  
Observational Study ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Cost Savings

scholarly journals Identifying homelessness using health information exchange data

2015 ◽  
Vol 22 (3) ◽  
pp. 682-687 ◽  
Author(s):  
John Zech ◽  
Gregg Husk ◽  
Thomas Moore ◽  
Gilad J Kuperman ◽  
Jason S Shapiro
Keyword(s):  
New York ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Housing Status ◽  
Number Of Patients ◽  
Address Data ◽  
Patients Experience ◽  
Exchange Data

Abstract Background Homeless patients experience poor health outcomes and consume a disproportionate amount of health care resources compared with domiciled patients. There is increasing interest in the federal government in providing care coordination for homeless patients, which will require a systematic way of identifying these individuals. Objective We analyzed address data from Healthix, a New York City–based health information exchange, to identify patterns that could indicate homelessness. Methods Patients were categorized as likely to be homeless if they registered with the address of a hospital, homeless shelter, place of worship, or an address containing a keyword synonymous with “homelessness.” Results We identified 78 460 out of 7 854 927 Healthix patients (1%) as likely to have been homeless over the study period of September 30, 2008 to July 19, 2013. We found that registration practices for these patients varied widely across sites. Conclusions The use of health information exchange data enabled us to identify a large number of patients likely to be homeless and to observe the wide variation in registration practices for homeless patients within and across sites. Consideration of these results may suggest a way to improve the quality of record matching for homeless patients. Validation of these results is necessary to confirm the homeless status of identified individuals. Ultimately, creating a standardized and structured field to record a patient’s housing status may be a preferable approach.

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