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Oral Presentations
Abstract Number: 0006
IMPACT OF CLINICIAN CARE TEAM MODEL ON RISK OF DIAGNOSTIC ERRORS AMONG ADULTS WHO TRANSFERRED TO INTENSIVE CARE OR DIED
SHM Converge 2025
Background: Diagnostic errors (DEs), or the failure to accurately identify or provide timely explanations of a patient’s health problem, are a significant source of patient harm. DEs occur in up to 23% of adult inpatients who transfer to intensive care units (ICU) or die. Few studies have examined how clinician team composition impacts DE risk. [...]
Oral Presentations
Abstract Number: 0006
IMPACT OF CLINICIAN CARE TEAM MODEL ON RISK OF DIAGNOSTIC ERRORS AMONG ADULTS WHO TRANSFERRED TO INTENSIVE CARE OR DIED
SHM Converge 2025
Background: Diagnostic errors (DEs), or the failure to accurately identify or provide timely explanations of a patient’s health problem, are a significant source of patient harm. DEs occur in up to 23% of adult inpatients who transfer to intensive care units (ICU) or die. Few studies have examined how clinician team composition impacts DE risk. [...]
Abstract Number: 0043
IT’S NOT ALL IN THE HEAD: COGNITIVE BIAS IN THE DIAGNOSIS OF ATAXIA
SHM Converge 2025
Case Presentation: A 40-year-old woman with a history of bipolar disorder and cannabis use disorder presented with four days of headache, dizziness, and vomiting. Initial examination revealed no focal neurological deficits except inconsistent orientation to time and cognitive slowing. She was treated symptomatically and planned for discharge. As she attempted to leave the ED, she [...]
Abstract Number: 0176
IS SEPSIS MORE PRONE TO DIAGNOSTIC ERRORS? A SECONDARY ANALYSIS OF THE UTILITY OF PREDICTIVE SYSTEMS FOR DIAGNOSTIC ERRORS (UPSIDE) STUDY
SHM Converge 2025
Background: Diagnostic errors (DE) are common in patients who die or go to the ICU and are caused by gaps in diagnostic processes. Few data describe whether this observation holds true among patients with sepsis, a disease that progresses quickly and requires a range of clinical information to diagnose correctly. The objective of our study [...]
Abstract Number: 0180
ASSESSING ORGANIZATIONAL READINESS TO PURSUE DIAGNOSTIC EXCELLENCE COLLABORATION
SHM Converge 2025
Background: Diagnostic error may occur in up to 5% of all adult hospitalizations, leading to prolonged length of stay, higher cost, and significant morbidity and mortality. Improving diagnostic safety requires measurement, analysis, and learning accelerated by dissemination. While safety is at the forefront of hospital priorities, organizational readiness to address diagnostic safety lacks consistent deployment [...]
Abstract Number: 0270
ACCURACY OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN CARDIOVASCULAR DISEASES: A SYSTEMATIC REVIEW
SHM Converge 2025
Background: According to the Global Burden of Disease (GBD) study, 523 million (95% UI: 497 to 550 million) people worldwide had cardiovascular diseases (CVDs) in 2019, resulting in a significant increase in DALYs and years of life lost, mostly due to ischemic heart disease. There are various accurate and economical gold standard tests to identify [...]
Abstract Number: 0278
PROGNOSTIC ABILITY OF CELLULAR HOST RESPONSE TEST IN DIAGNOSIS AND RISK STRATIFICATION OF PATIENTS WITH SUSPECTED INFECTION IN NEED OF ICU-LEVEL CARE
SHM Converge 2025
Background: Sepsis, a dysregulated host immune response to infection leading to life-threatening organ dysfunction[1], is a common, fast-moving condition, and the leading cause of in-hospital death. Most cases develop in the community and present to Emergency Departments (ED)[2], where urgent action is required to prevent resultant morbidity and mortality[3]. However, the presentation of sepsis is [...]
Abstract Number: 0297
DIAGNOSTIC ERRORS IN PATIENTS ADMITTED DIRECTORY FROM NEW OUTPATIENT VISITS
SHM Converge 2025
Background: Diagnostic errors frequently represent significant adverse events that can occur in any medical setting, particularly in rushed handovers and constrained timing. Cases that result in emergency hospitalization at the time of the initial outpatient visit are more likely to have complex or serious patient conditions and more detrimental diagnostic errors. Our study investigated diagnostic [...]
Abstract Number: 0364
BUILDING A HOSPITAL MEDICINE DIAGNOSTIC EXCELLENCE PROGRAM
SHM Converge 2025
Background: Diagnostic error is a major threat to the safety of hospitalized patients, affecting as many as 1 in 4 patients and leading to 7% of inpatient deaths. However, diagnostic error remains difficult to identify and measure, particularly in the hospital setting, where determination of an error relies on medical record review. Measurement difficulty also [...]
Abstract Number: 0380
SITE-LEVEL ANALYSIS OF DIAGNOSTIC PROCESS FAILURES: A NOVEL QUALITY IMPROVEMENT TOOL
SHM Converge 2025
Background: Diagnostic errors (DE) are common in hospitalized patients, especially those with an unintended escalation of care, and cause substantial harm. However, individual hospitals currently lack methods to analyze local diagnostic process failure patterns to identify targets for quality improvement efforts. Purpose: The AHRQ funded UPSIDE study identified key diagnostic process failures across a national [...]
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