Enhancing Computer Assisted Provider Documentation Software Usage and Adoption: An Evidence-based Quality Improvement Initiative

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The Ohio State University

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Background: Many providers describe the clinical documentation clarification process as painstaking, leading some healthcare organizations to purchase technological solutions such as computer-assisted provider documentation software to combat these issues. This solution assists providers with compliant documentation while reducing provider burden and improving documentation quality. However, despite these benefits, provider usage and adoption is low. Purpose: This quality improvement initiative aimed to identify and implement an evidence-based strategy to enhance acute care provider computer-assisted provider documentation usage and adoption. Project: A comprehensive literature search identified seventeen relevant articles. The pertinent evidence informed compiling of a six-component strategy, which addresses commitment to success, marketing and awareness, technical readiness, training and enablement, data monitoring, and program sustainability during software deployment at three sites. At eight weeks post-deployment, usage and adoption was evaluated and compared to historical data from 19 comparator sites representing acute care academic and community facilities across 10 states. The three implementation sites were similar with 342 to 544 acute care beds. Findings: The three deployment sites demonstrated a 38.07% lower average view rate, a 23.09% higher average resolve, and a 55.91% higher documentation rates than the comparator sites. Conclusions: Findings suggest that an evidence-based implementation strategy can support better computer-assisted provider documentation adoption metrics, i.e. resolve and documentation rates. Additional assessments are needed to determine the strategy’s effect on the view rate, as a technical defect affected the results. Despite this defect, the strategy may be of keen interest to teams working to increase usage and adoption of computer-assisted provider documentation and related healthcare software.



artificial intelligence, clinical decision support systems, clinical documentation improvement, provider documentation, healthcare technology, computer-assisted provider documentation