Session Type
Meeting
Search Results for Prediction model
Oral Presentations
Abstract Number: 13
SHM Converge 2023
Background: Diagnostic errors (DEs) represent ongoing threats to patient safety in the hospital. Little is known about the factors present on admission that can predict DE during the hospital encounter. Such knowledge is essential for prospective identification of hospitalized patients at risk for DE who can be targeted for early intervention. The purpose of this […]
Oral Presentations
Abstract Number: 13
SHM Converge 2023
Background: Diagnostic errors (DEs) represent ongoing threats to patient safety in the hospital. Little is known about the factors present on admission that can predict DE during the hospital encounter. Such knowledge is essential for prospective identification of hospitalized patients at risk for DE who can be targeted for early intervention. The purpose of this […]
Abstract Number: 23
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Discharge to post-acute care settings (PACs), such as skilled nursing facilities (SNFs), requires significant, complex discharge planning which often needs to be started early during hospitalization to be complete by time of discharge. This study sought to identify and model factors which predict a given patient’s likelihood of requiring PAC after discharge, using routinely […]
Abstract Number: F8
SHM Converge 2022
Background: Hospitalized COIVD-19 patients are complex and heterogenous with regards to socio-demographics and comorbidities and many patients are at heightened risk for adverse clinical outcome. Early risk stratification enables clinical decision making for appropriateness and timeliness of interventions. Since the pandemic began, more than 100 models to forecast prognosis for hospitalized patients with COVID 19 […]
Abstract Number: 118
Hospital Medicine 2018; April 8-11; Orlando, Fla.
Background: Complex patients represent a challenge in the health care system, as they are frequently associated with high health care utilization, longer hospital stays, and higher costs. Nonetheless, the characteristics of the complex patients in the hospital setting are not well known, and tools to help hospitals to identify them early in the process of […]
Abstract Number: 163
SHM Converge 2024
Background: We conducted a pilot study in an acute care hospital and developed the Saga Fall Risk Model 2 (SFRM2), a fall prediction model comprising eight items: Bedriddenness rank, age, sex, emergency admission, admission to the neurosurgery department, history of falls, independence of eating, and use of hypnotics. Bedriddenness rank is an official scale of […]
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: 401
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: The simplified HOSPITAL score is an easy-to-use prediction model that accurately identifies patients at high-risk of 30-day unplanned readmission before hospital discharge. The predictors include the last available hemoglobin and sodium levels at discharge. Because an earlier stratification risk of readmission would allow more preparation time for transitional care interventions, we aimed to assess […]
Abstract Number: 461
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Hospital readmission rate is viewed as an indirect indicator of quality of care provided by a hospital. We completed a small pilot study looking at a multidisciplinary bedside huddle in the 24 – 48 hours before discharge which decreased readmission rates in high risk patients from 36% to 20% in a small pilot study. […]