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Abstract Number: 345
Hospital Medicine 2020, Virtual Competition
Background: As our healthcare system shifts towards a patient satisfaction model, programs focusing on improving physician communication skills have been on the rise. Many of these programs have focused on outpatient providers as it can be more difficult to capture provider-patient communication in the inpatient setting. Most of the patient feedback obtained for inpatient providers […]
Abstract Number: 349
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Prescribing of opioid medications has been a hot button issue for at least a decade now. Hospitalists play a unique role as we are on the front lines of patient care and have to coordinate care between specialists and primary care physicians. That role as well as patient demands may make the path of […]
Abstract Number: 357
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Catheter Associated Urinary Tract Infection (CAUTI) is the most common hospital acquired infection and constitutes upto 40% of all Healthcare Associated infections. Urinary catheter is used in 15% to 25% of hospitalized patients and often utilized for inappropriate indications. Daily risk of Urinary Tract Infection (UTI) is 3 to 7% with the use of […]
Abstract Number: 377
SHM Converge 2023
Background: Structured peer observation programs – in which clinicians observe one another and provide feedback – are potential mediators for spreading “best practices” and encouraging feedback among a group. Studies show hospitalist peer observation programs are feasible, perceived favorably by participants, and lead to improvements in self-reported assessments of teaching abilities. However, existing peer-observation models […]
Abstract Number: 427
Hospital Medicine 2020, Virtual Competition
Background: Hospitalists are tasked with improving care quality across several different inpatient metrics. These include length of stay, readmission rates, health care associated infections, system capacity and patient satisfaction scores. While most quality metrics are driven by systems of care, it can be challenging for frontline providers to address variations in individual practice, if any, […]
Abstract Number: 437
Hospital Medicine 2020, Virtual Competition
Background: In the quest to improve patient satisfaction scores, providers and health systems alike are frustrated with the inability to obtain real-time satisfaction data. Indeed, HCAHPS data lags by six months, and makes it exceedingly difficult to provide real-time feedback to physicians on their communication with patients. As a result, we developed a patient-centered audit […]
Abstract Number: 446
Hospital Medicine 2020, Virtual Competition
Background: Data dashboards are used in many industries to track performance, however their development and efficacy in hospital medicine has not been well described. Data availability, provider attribution, feedback timeliness, and data accuracy have been cited as barriers to developing and implementing an effective performance dashboard. Purpose: We developed a hospital medicine clinical data dashboard […]
Abstract Number: 448
Hospital Medicine 2020, Virtual Competition
Background: Clinical reasoning is a core component of medical training yet learners receive very little formative feedback on their clinical reasoning documentation. We hypothesize that this is related to the lack of a shared assessment rubric and faculty time constraints. Purpose: Here we describe the process of developing a machine learning algorithm for feedback on […]
Abstract Number: 450
SHM Converge 2024
Background: Cost associated with diagnostic testing contributes greatly to the rising cost of health care in the United States (Bindraban et al, 2018). There is evidence to suggest that up to 20% of lab testing is unnecessary (Bindraban et al, 2018).Main Line Health (MLH) is a health system in suburban Philadelphia made up of four […]
Abstract Number: G12
SHM Converge 2022
Background: Provider-level practice variation is common and may impact clinical outcomes, such as length of stay and imaging ordering. However, it is unclear which provider characteristics lead to variations in practice. Using individual performance data from a provider-level dashboard, we aimed to evaluate variability in clinical performance and predictors of high or low performance. Methods: […]