Literature DB >> 24636959

Hospices' use of electronic medical records for quality assessment and performance improvement programs.

Nan Tracy Zheng1, Franziska S Rokoske2, M Alexis Kirk2, Brieanne Lyda-McDonald2, Shulamit L Bernard2.   

Abstract

CONTEXT: Electronic medical records (EMRs) are increasingly viewed as essential tools for quality assurance and improvement in many care settings, but little is known about the use of EMRs by hospices in their quality assessment and performance improvement (QAPI) programs.
OBJECTIVES: To examine the data sources hospices use to create quality indicators (QIs) used in their QAPI programs and to examine the domains of EMR-based QIs.
METHODS: We used self-reported QIs (description, numerator, and denominator) from 911 hospices nationwide that participated in the Centers for Medicare & Medicaid Services nationwide hospice voluntary reporting period. The data reflected QIs that hospices used for their internal QAPI programs between October 1 and December 31, 2011. We used the primary data sources for QIs reported by hospices and analyzed EMR-based QIs in terms of the quality domains and themes addressed.
RESULTS: EMRs were the most frequent data source for the QIs reported, followed by family survey and paper medical record. Physical symptom management was the largest quality domain--included in 51.5% of the reported EMR-based QIs--followed by patient safety and structure and process of care.
CONCLUSION: Most participating hospices use EMRs for retrieving items needed for QI calculations. EMR-based QIs address various quality domains and themes. Our findings present opportunities for potential future reporting of EMR-based quality data.
Copyright © 2014 American Academy of Hospice and Palliative Medicine. All rights reserved.

Entities:  

Keywords:  Electronic medical record; electronic health record; hospice quality indicators; quality reporting

Mesh:

Year:  2014        PMID: 24636959     DOI: 10.1016/j.jpainsymman.2013.11.010

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  3 in total

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Authors:  Julie K Silver; Vishwa S Raj; Jack B Fu; Eric M Wisotzky; Sean Robinson Smith; Rebecca A Kirch
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2.  Evaluation of the pain intensity differences among hospitalized cancer patients based on a nursing information system.

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3.  Trends in Clinically Significant Pain Prevalence Among Hospitalized Cancer Patients at an Academic Hospital in Taiwan: A Retrospective Cohort Study.

Authors:  Wei-Yun Wang; Shung-Tai Ho; Shang-Liang Wu; Chi-Ming Chu; Chun-Sung Sung; Kwua-Yun Wang; Chun-Yu Liang
Journal:  Medicine (Baltimore)       Date:  2016-01       Impact factor: 1.817

  3 in total

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