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The Empty SmartLink Solution: A Quality Improvement Initiative to Improve History and Physical Notes Documentation
Sabrina E Carro1, Sarah Milota2, Danita Hahn3
1Medical College of Wisconsin, Milwaukee, Wisconsin, scarro@mcw.edu.
Implementing a clinical decision support tool significantly reduced incomplete medical documentation in pediatric hospital medicine. This quality improvement initiative successfully decreased the rates of missing past medical history, surgical history, family history, and active hospital problems.
Area of Science:
- Quality Improvement
- Clinical Informatics
- Pediatric Healthcare
Background:
- Structured documentation in discrete fields is crucial for medical decision-making, research, and quality improvement.
- Incomplete documentation, indicated by 'empty' fields for past medical history (PMH), past surgical history (PSH), family history (FH), and active hospital problems (AHP), poses a significant challenge.
Purpose of the Study:
- To decrease the incidence of "no PMH/PSH/FH/AHP on file" in history and physical (H&P) notes at a children's hospital.
- The specific aim was to reduce these omissions from baseline rates (7.9%, 18.7%, 8.3%, 17.0%) to below 5% within 4 months.
Main Methods:
- A multidisciplinary team employed quality improvement methodology for pediatric hospital medicine encounters.
- Interventions included a clinical decision support tool with a hard stop in H&P templates and documentation education.
- Statistical process control charts were used to monitor outcome measures (percentage of H&Ps with missing data) and process measures (template use).
Main Results:
- The incidence of "no PMH/PSH/FH/AHP on file" significantly decreased to 1.2%, 2.2%, 2.9%, and 4.2%, respectively, demonstrating special cause variation.
- H&P template utilization remained high at 87.2% throughout the study period.
Conclusions:
- A simple clinical decision support tool effectively reduced the occurrence of incomplete discrete documentation, meeting the study's objective.
- This approach highlighted the efficacy of automated clinical decision support over reliance on education alone for driving change.
- Future efforts will focus on expanding hard stops to other documentation areas and ensuring sustained improvements.
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