Session Type
Meeting
Search Results for Predict
Oral Presentations
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Clinically stable inpatients may receive potentially unnecessary care, such as overnight vital sign assessment. Nighttime vital signs can disrupt sleep and adversely affect patient satisfaction and contribute to delirium. However, it may be difficult for individual clinicians to determine which patients could safely forego overnight vital signs. Purpose: We developed a predictive algorithm designed […]
Oral Presentations
Abstract Number: 9
SHM Converge 2023
Background: Mortality prediction models are increasingly being adopted in the clinical setting, both to retrospectively assess quality of care and to prospectively inform clinical practice. An open question is whether a particular hospital should employ a model trained using a diverse nationwide dataset or use a model developed primarily from local data. The Veterans Affairs […]
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: OP7
SHM Converge 2022
Background: The HCAHPS survey is used nationally by health systems as a standard to measure the patient experience and identify opportunities for improvement. Historically, process improvement initiatives based on the survey are implemented retroactively, attempting to prevent negative experiences for future patients. However, given the increasing complexity of patient care, proactively addressing the identified concerns […]
Oral Presentations
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Clinically stable inpatients may receive potentially unnecessary care, such as overnight vital sign assessment. Nighttime vital signs can disrupt sleep and adversely affect patient satisfaction and contribute to delirium. However, it may be difficult for individual clinicians to determine which patients could safely forego overnight vital signs. Purpose: We developed a predictive algorithm designed […]
Abstract Number: 4
Hospital Medicine 2020, Virtual Competition
Background: Assessing severity of illness using available electronic medical record (EMR) data on admission and predicting inpatient mortality is very challenging. Lacking standardized practices around end of life issues, hospitalists use their clinical judgment in making these crucial decisions. Prolonged discussions may be needed in medically complex patients to direct an optimal plan of care […]
Oral Presentations
Abstract Number: 9
SHM Converge 2023
Background: Mortality prediction models are increasingly being adopted in the clinical setting, both to retrospectively assess quality of care and to prospectively inform clinical practice. An open question is whether a particular hospital should employ a model trained using a diverse nationwide dataset or use a model developed primarily from local data. The Veterans Affairs […]
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: 67
Hospital Medicine 2017, May 1-4, 2017; Las Vegas, Nev.
Background: Acute heart failure (AHF) is the major cause of hospital admission and death. Furthermore, patients admitted with AHF have high readmission rates and postdischarge mortality. Although there have been some reports, which demonstrated the predictive factors of death among patients of acute heart failure in the USA and Europe, there has been no studies […]