Session Type
Meeting
Search Results for Prediction
Abstract Number: 181
SHM Converge 2021
Background: Venous thromboembolism (VTE) is a significant cause of morbidity and mortality for hospitalized patients. There are approximately 900,000 new VTE events and 100,000 VTE-related deaths every year. In the United States, more deaths occur due to VTE than breast cancer, AIDS, and motor vehicle accidents combined. VTE are considered preventable events with appropriate prophylaxis; […]
Abstract Number: 230
SHM Converge 2023
Background: Several electronic health record (EHR) mortality prediction models have been developed to promote early goals of care discussions (GOCD) but only a few models were evaluated prospectively. We aimed to implement a real-time 30-day inpatient mortality prediction model previously developed at our facility and evaluate its effect on GOCD in seriously ill transferred patients. […]
Abstract Number: 231
Hospital Medicine 2017, May 1-4, 2017; Las Vegas, Nev.
Background: Sepsis is a leading cause of death among hospitalized patients. Early detection of sepsis has the potential to reduce mortality by facilitating timely evidence-based interventions. Past studies have used electronic health records (EHR) to trigger alerts at the onset of sepsis, or to predict general clinical deterioration. In this study we describe the impact […]
Abstract Number: 232
Hospital Medicine 2017, May 1-4, 2017; Las Vegas, Nev.
Background: Sepsis is a leading cause of mortality among hospitalized patients. Early detection and intervention reduces sepsis-related mortality. We implemented a novel early warning system (EWS 2.0) based on a machine-learning algorithm to prospectively identify patients with increased risk of severe sepsis or septic shock. Validation suggested excellent predictive characteristics, including a positive likelihood ratio […]
Abstract Number: 245
SHM Converge 2023
Background: Hospital readmissions within 30 days of discharge have gained national attention and account for more than $17 billion in avoidable U.S. Medicare expenditures each year. (1) In 2011 alone, there were approximately 3.3 million adult 30-day all-cause hospital readmissions, costing the US $41.3 billion.(2) As such, efforts have been made to create algorithms to […]
Abstract Number: 259
SHM Converge 2024
Background: Current surveillance approaches underestimate harmful diagnostic errors (DE) in hospitalized patients. A recent study of 2809 admissions observed that while one or more adverse events (AE) occurred in 23.6% of cases, only 10 AEs (0.1%) were attributable to DEs (1). Studies using the Safer Dx instrument have observed harmful DE rates of 5-7% (2). […]
Abstract Number: 270
SHM Converge 2024
Background: Hospital discharge requires coordination among multiple disciplines and may feel chaotic as discharge approaches. The 48-Hour Discharge Prediction Tool (48DPT) is an AI-based system developed to predict clinical readiness for discharge 48 hours beforehand, with the aim of alerting the interdisciplinary team and prompting earlier completion of preparatory procedures. This study assessed 48DPT’s impact […]
Abstract Number: 280
SHM Converge 2024
Background: Inadequate assessment and recognition of barriers to discharge at time of admission leads to delays in the discharge process and prolongation of hospital admissions. These delays are associated with multiple negative outcomes such as increased length of stay, decreased patient satisfaction, strain on hospital bed capacity, and higher readmission rates. Prior studies have shown […]
Abstract Number: 336
Hospital Medicine 2020, Virtual Competition
Background: Older adults commonly lose mobility during hospitalization. This loss of mobility may be preventable if it is identified and addressed early in a patient’s hospital course. However, currently there is no systematic method to identify these patients early, and current practices are guided by physician experience and intuition. To this end, we used machine […]
Abstract Number: 368
SHM Converge 2023
Background: Approximately 5% of patients hospitalized at our institution develop clinically significant alcohol withdrawal syndrome (AWS). Inpatients who develop AWS may experience seizures, delirium, ICU transfer and prolonged length of stay. While the mortality of AWS, mostly related to delirium tremens, has decreased over time, severe alcohol withdrawal is still associated with a mortality of […]