Using Lean to Enhance Heart Failure Patient Identification Processes and Increase Core Measure Scores.

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Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
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Abstract
Heart failure (HF) is the leading cause of hospitalization among older adults in the United States. Health systems target readmission rates for quality improvement and cost reduction.Heart failure core measure (CM) scores at our medical center were lower than the national average, and methods for capturing the appropriate documentation on HF patients to ensure CM compliance were not clear.An interdisciplinary team determined barriers to increasing CM scores, gathered baseline data, and identified gaps in the existing process.The team implemented an accurate reporting system and error-proofing process, redesigned the process for identifying patients admitted with a HF diagnosis, and developed a patient appointment section before discharge in the electronic medical record.There was a decrease in readmissions within 30 days of implementation from 12% to 8%, and HF CM compliance score increased from 88% to 100%. The percentage of HF patients not identified during hospitalization decreased from 17% to 0%. Heart failure patients discharged with a 7-day follow-up appointment increased from 88% to 98%.Through implementation of an interdisciplinary-led process improvement and lean methodologies, metrics and CMs were achieved.
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Authors Hunt, Jennifer R;Ouellette, Kelli Jo;Reece, Michelle;
Journal journal of nursing care quality
Year Year not found
DOI
10.1097/NCQ.0000000000000330
URL
Keywords
Evaluation sarcopenia community-dwelling older adults physical functioning resistance exercise real-life setting dietary protein intake

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