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PubMed · 10135640

Reporting tools for clinical quality improvement.

Abstract

To support clinical quality improvement (QI), effective quality analysis tools are essential. New strategies that we have incorporated into our routine assessment activities include comparative screening, clinical process benchmarking tables, and run charts for key quality indicators. To target areas for improvement, we use comparative screening. We have access to clinical data for 11 comparable medical centers. Currently, these data are used to identify our ranking relative to the others for mortality, readmission, and length of stay. Diagnosis-related groups and ICD-9-CM clusters serve as clinical groupings with defined minimal case volume requirements to ensure meaningful comparisons. These comparative reports permit our clinical leaders and hospital administrators to focus QI activities. Clinical process benchmarking involves peer-to-peer interfacility communication to identify those factors that create outstanding clinical performance. We successfully have used this tool to support process improvement in cardiac-surgery, administration of patient controlled analgesia, and respiratory therapy. Interdisciplinary QI teams identify the key investigative questions. Team members then contact their counterparts at similar facilities, which differ from our hospital in quality, based on empirical evidence or through comparative screening. The information that is obtained is collated in a tabular format, along with our own information, to permit easy identification of key clinical processes associated with better outcomes. Key quality and utilization goals at our hospital include reducing unplanned readmissions by 10%, achieving a 5% lower average length of stay, and not exceeding Health Care Financing Administration expected mortality rates in any clinical area.(ABSTRACT TRUNCATED AT 250 WORDS)

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BibTeXRIS

J M Albright, R J Panzer, E R Black, R A Mays, C M Lush-Ehmann. Reporting tools for clinical quality improvement.. https://pubmed.ncbi.nlm.nih.gov/10135640/

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