A structured approach to EHR surveillance of diagnostic error in acute care: an exploratory analysis of two institutionally-defined case cohorts
MA Malik, D Motta-Calderon, N Piniella, A Garber… - Diagnosis, 2022 - degruyter.com
Objectives To test a structured electronic health record (EHR) case review process to identify
diagnostic errors (DE) and diagnostic process failures (DPFs) in acute care. Methods We …
diagnostic errors (DE) and diagnostic process failures (DPFs) in acute care. Methods We …
Use of e-triggers to identify diagnostic errors in the paediatric ED
D Lam, F Dominguez, J Leonard… - BMJ Quality & …, 2022 - qualitysafety.bmj.com
Background Diagnostic errors (DxEs) are an understudied source of patient harm in children
rarely captured in current adverse event reporting systems. Applying electronic triggers (e …
rarely captured in current adverse event reporting systems. Applying electronic triggers (e …
Identification of delayed diagnosis of paediatric appendicitis in administrative data: a multicentre retrospective validation study
Objective To derive and validate a tool that retrospectively identifies delayed diagnosis of
appendicitis in administrative data with high accuracy. Design Cross-sectional study. Setting …
appendicitis in administrative data with high accuracy. Design Cross-sectional study. Setting …
[PDF][PDF] Using conversant artificial intelligence to improve diagnostic reasoning: ready for prime time?
An estimated 10–15% of diagnoses are incorrect and serious patient harm or death from
misdiagnosis affects one in 200 patients admitted to hospital. 1 Up to 80% of diagnostic …
misdiagnosis affects one in 200 patients admitted to hospital. 1 Up to 80% of diagnostic …
Human centered design workshops as a meta-solution to diagnostic disparities
AA Wiegand, V Dukhanin, T Sheikh, F Zannath… - Diagnosis, 2022 - degruyter.com
Objectives Diagnostic errors–inaccurate or untimely diagnoses or failures to communicate
diagnoses–are harmful and costly for patients and health systems. Diagnostic disparities …
diagnoses–are harmful and costly for patients and health systems. Diagnostic disparities …
Implementation of electronic triggers to identify diagnostic errors in emergency departments
Importance Missed diagnosis can lead to preventable patient harm. Objective To develop
and implement a portfolio of electronic triggers (e-triggers) and examine their performance …
and implement a portfolio of electronic triggers (e-triggers) and examine their performance …
A Machine-Learning-Based Approach for Identifying Diagnostic Errors in Electronic Medical Records
Diagnostic error refers to a missed, delayed, or wrong diagnosis, which seriously affects
diagnostic reliability and safety. Identifying diagnostic errors is crucial for diagnostic error …
diagnostic reliability and safety. Identifying diagnostic errors is crucial for diagnostic error …
Epidemiology of diagnostic errors in pediatric emergency departments using electronic triggers
Objectives We applied three electronic triggers to study frequency and contributory factors of
missed opportunities for improving diagnosis (MOIDs) in pediatric emergency departments …
missed opportunities for improving diagnosis (MOIDs) in pediatric emergency departments …
[PDF][PDF] Development and psychometric analysis of a patient-reported measure of diagnostic excellence for emergency and urgent care settings
Background Emergency and urgent care settings face challenges with routinely obtaining
performance feedback related to diagnostic care. Patients and their care partners provide an …
performance feedback related to diagnostic care. Patients and their care partners provide an …
[HTML][HTML] Monitoring diagnostic safety risks in emergency departments: protocol for a machine learning study
Background Diagnostic decision making, especially in emergency departments, is a highly
complex cognitive process that involves uncertainty and susceptibility to errors. A …
complex cognitive process that involves uncertainty and susceptibility to errors. A …