Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form
D-Scholarship @ Pitt Banner and Links to Homepage

Barriers faced when implementing an electronic health record within a behavioral health system: how to recognize them and recommendations to overcome them

Longo, Jennifer (2018) Barriers faced when implementing an electronic health record within a behavioral health system: how to recognize them and recommendations to overcome them. Master's Thesis, University of Pittsburgh.

[img] Microsoft Word
Submitted Version
Download (55kB)

Abstract

This paper explores the benefits and barriers that healthcare orgianzations experience when implementing an electronic health record (EHR). Specifically, it focuses on the behavioral health side of a hospital system because behavioral health is becoming more well-known. This paper draws on the authors’ experience working at the University of Pittsburgh Medical Center Western Psychiatric Institute and Clinic (UPMC WPIC) to learn how to identify and expand on barriers. Understanding and expanding upon barriers has a public health relevance as healthcare systems are now integrating their EHRs, thereby allowing providers to effectively communicate all of a patients’ care to various doctors which provides the patient with a better continuum of care. This integration will increase patient outcomes, lower costs, and improve overall quality of life. Since patients with mental health issues are an at-risk population, this increased care should reduce their risk long-term.

Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Other Thesis, Dissertation, or Long Paper (Master's Thesis)
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Longo, Jenniferlongojm409@yahoo.comjml205
Contributors:
ContributionContributors NameEmailPitt UsernameORCID
Committee ChairDriessen, Juliadriessen@pitt.edudriessenUNSPECIFIED
Committee MemberPaone, Suzannespaone@pitt.eduspaoneUNSPECIFIED
Date: 27 April 2018
Date Type: Submission
Number of Pages: 29
Institution: University of Pittsburgh
Schools and Programs: School of Public Health > Public Health Genetics
Degree: MHA - Master of Health Administration
Thesis Type: Master's Thesis
Refereed: Yes
Date Deposited: 11 Oct 2018 15:56
Last Modified: 11 Oct 2018 15:56
URI: http://d-scholarship.pitt.edu/id/eprint/34270

Metrics

Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item