Hospices' Use of Electronic Medical Records for Quality Assessment and Performance Improvement Programs

• Published in: Journal of pain and symptom management 2014-10, Vol.48 (4), p.582-589
• Main Authors: Zheng, Nan Tracy, PhD, Rokoske, Franziska S., PT, MS, Kirk, M. Alexis, BA, Lyda-McDonald, Brieanne, MSPH, Bernard, Shulamit L., PhD
• Format: Article
• Language: English
• Subjects: Anesthesia & Perioperative Care; Biological and medical sciences; electronic health record; Electronic Health Records - standards; Electronic Health Records - utilization; Electronic medical record; Health Records, Personal; hospice quality indicators; Hospices - standards; Hospices - statistics & numerical data; Information Storage and Retrieval - standards; Information Storage and Retrieval - statistics & numerical data; Meaningful Use - standards; Meaningful Use - utilization; Medical sciences; Pain Medicine; Pharmacology. Drug treatments; Quality Assurance, Health Care - standards; Quality Assurance, Health Care - utilization; Quality Improvement - standards; Quality Improvement - utilization; quality reporting; United States
• ISSN: 0885-3924; 1873-6513
• DOI: 10.1016/j.jpainsymman.2013.11.010

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.