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A method to identify pediatric high-risk diagnoses missed in the emergency department
Melissa Sundberg1, Catherine O Perron2, Amir Kimia2
1Boston Children's Hospital, Division of Emergency Medicine, 300 Longwood Ave, Boston, MA 02115, USA.
Insights
A new computer tool helps find diagnostic errors in pediatric care by comparing emergency room and hospital discharge diagnoses. This process identified discrepancies in 3.1% of high-risk cases, improving diagnostic accuracy.
Area of Science:
- Pediatric emergency medicine
- Health informatics
- Diagnostic accuracy
Background:
- Diagnostic errors increase patient harm and healthcare costs.
- The National Academy of Medicine emphasizes innovative electronic approaches to reduce diagnostic errors.
- Missed or delayed diagnoses in pediatrics require urgent attention.
Purpose of the Study:
- To develop a process for detecting diagnostic discrepancies between pediatric emergency department (ED) and inpatient discharge diagnoses.
- To utilize a computer-based tool to facilitate expert review of potential diagnostic errors.
- To improve diagnostic accuracy in pediatric emergency care.
Main Methods:
- Identified 10 high-risk pediatric diagnoses based on literature and expert opinion.
- Developed and applied a computerized tool to link ED encounters with hospital discharge diagnoses.
- Pediatric emergency medicine experts manually reviewed discordant cases for confirmation.
Main Results:
- The tool screened 55,233 ED encounters over 5 years, identifying 2161 (3.9%) with high-risk diagnoses.
- Expert review confirmed diagnostic discordance in 67 (3.1%) of these cases.
- Kawasaki disease and pancreatitis were the most frequent discordant diagnoses.
Conclusions:
- A semi-automated process was successfully developed to screen hospital encounters for diagnostic discrepancies in pediatric conditions.
- This method can identify potential diagnostic errors, informing improvements in ED diagnostic accuracy.
- The tool offers a valuable approach for quality improvement in pediatric healthcare.
Background:
Diagnostic error can lead to increased morbidity, mortality, healthcare utilization and cost. The 2015 National Academy of Medicine report "Improving Diagnosis in Healthcare" called for improving diagnostic accuracy by developing innovative electronic approaches to reduce medical errors, including missed or delayed diagnosis. The objective of this article was to develop a process to detect potential diagnostic discrepancy between pediatric emergency and inpatient discharge diagnosis using a computer-based tool facilitating expert review.
Methods:
Using a literature search and expert opinion, we identified 10 pediatric diagnoses with potential for serious consequences if missed or delayed. We then developed and applied a computerized tool to identify linked emergency department (ED) encounters and hospitalizations with these discharge diagnoses. The tool identified discordance between ED and hospital discharge diagnoses. Cases identified as discordant were manually reviewed by pediatric emergency medicine experts to confirm discordance.
Results:
Our computerized tool identified 55,233 ED encounters for hospitalized children over a 5-year period, of which 2161 (3.9%) had one of the 10 selected high-risk diagnoses. After expert record review, we identified 67 (3.1%) cases with discordance between ED and hospital discharge diagnoses. The most common discordant diagnoses were Kawasaki disease and pancreatitis.
Conclusions:
We successfully developed and applied a semi-automated process to screen a large volume of hospital encounters to identify discordant diagnoses for selected pediatric medical conditions. This process may be valuable for informing and improving ED diagnostic accuracy.
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