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Search Results for DIC
Abstract Number: 257
SHM Converge 2024
Background: Respiratory failure is the most common organ failure syndrome in US hospitals (1). Hospitalists strive to detect the earliest signs of respiratory instability. Measurement of respiratory vital signs (like respiratory rate & oximetry) is a necessary aspect of risk stratification, but it is not sufficient. In one study, 46% of hospitalized patients had no […]
Abstract Number: 258
SHM Converge 2024
Background: Clinicians, researchers, educators, and administrators have grappled with the implications of generative artificial intelligence (AI) in healthcare since the release of the first publicly available large language model (LLM) in late 2022. Efforts have been directed towards evaluating LLMs’ performance in common clinical and scholarly tasks and debating important considerations including patient safety, information […]
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: 267
SHM Converge 2024
Background: There is growing interest in the use of artificial intelligence (AI) predictive models in hospital medicine. However, real-world implementation and evaluation of AI models lags the development of such models, with many such models being developed but never used in live practice. (1) Therefore, relatively less is known about the performance of these models […]
Abstract Number: 268
SHM Converge 2024
Background: Virtual Hospitalist (VH) care models are emerging in hospital medicine to address workforce shortages and improve patient access. VH programs are any programs where the hospitalist and patient are located at different sites, but the patient requires an acute level of care. This can include arrangements where: 1) the patient is located in a […]
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: 284
SHM Converge 2024
Background: There are over 35 million discharges from inpatient hospitalizations annually in the US. During these transitions of care, patients are at risk for adverse events. It is crucial for patient safety to have accurate communication between the inpatient physician and the provider assuming care.The main conduit for this communication is the hospital discharge summary. […]
Abstract Number: 291
SHM Converge 2024
Background: Medication errors during hospital discharge can lead to adverse outcomes, medication-related readmissions, and increased healthcare costs [1,2]. Pharmacist-led medication reconciliation at discharge (PMRD) has emerged as a potential solution to mitigate poor outcomes and optimize medication safety [3-7]. The main objectives of this study were to determine the number of errors identified at discharge […]
Abstract Number: 307
SHM Converge 2024
Background: Since the introduction of the hospitalist system in Korea, their role and responsibilities have grown significantly. However, the current status and impact of Korean hospitalists on job satisfaction are poorly studied. We aimed to investigate the present state of Korean hospitalists and their influence on job satisfaction, six years after the pilot program’s launch. […]