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Search Results for Electronic Health Record
Abstract Number: 8
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: In sepsis, every hour of delay in antibiotic administration after the onset of hypotension is associated with 4-7% increase in mortality, but little is known about the characteristics of patients with treatment delays. Our objective was to determine if septic adults presenting to the Emergency Department (ED) who receive antibiotics more than 60 minutes […]
Abstract Number: 157
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Delays in antibiotic administration in sepsis – particularly after the development of hypotension – are associated with increased mortality. Current guidelines recommend antibiotic initiation within one hour of sepsis recognition. However, it is not known how timing of hypotension relates to the timing of meeting sepsis diagnostic criteria and the initiation of treatment. We […]
Abstract Number: 205
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Adverse events (AEs) are a major concern in the inpatient setting, with many considered preventable. The Patient Safety Learning Lab implemented a Patient Safety Dashboard integrated with our electronic health record as part of a suite of health information technology tools to reduce inpatient AEs. The goals of this evaluation were to understand patterns […]
Abstract Number: 211
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Hospitalized patients receiving direct oral anticoagulants (DOACs) sometimes require bridging with unfractionated heparin (UFH). Monitoring UFH with anti-Xa assays has been shown to correlate with better outcomes. However, DOACs interfere with anti-Xa assays resulting in inappropriate UFH dose adjustments that can negatively impact patient care. In 2015, we deployed an electronic health record (EHR) […]
Abstract Number: 218
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: The electronic health record (EHR) and health care provider workflow process may contribute to patient misidentification or wrong-patient errors. When self-caught by the provider, these errors are classified as near-miss errors. When these errors reach the patient, they can result in serious harm. The Office of the National Coordinator for Health Information Technology Patient […]
Abstract Number: 226
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Wrong-patient order entry errors are common and often have the potential to cause patient harm. The Office of the National Coordinator for Health Information Technology Patient Identification SAFER Guide recommends displaying patient photographs in Electronic Health Records (EHRs) to reduce wrong-patient errors; however, only a small proportion of hospitals nationally utilize patient photographs. A […]
Abstract Number: 293
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Inpatient physicians often discharge patients while diagnostic tests are still pending. The discharging attending is responsible for following-up these results, even if they have rotated off service. This can lead to delayed and/or missed detection of results, which impacts patient safety. It also creates a burden on physicians to check for results during time […]
Abstract Number: 387
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Typical solutions to incorporating provider input into discharge planning often rely on one-way communication mechanisms and data entry that is not dynamic (i.e. providers estimate day of discharge in advance). We are designing a discharge readiness tool to be integrated into our current electronic health record (EHR), Epic Systems-Verona Wisconsin, that allows providers to […]
Abstract Number: 393
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: Sepsis is one of the top causes of inpatient mortality and rapid detection presents numerous challenges. In March, 2016, an interdisciplinary team consisting of top clinicians, data scientists and machine learning experts at a large academic medical center (AMC) embarked on an innovation pilot to develop a novel machine learning model to detect sepsis. […]
Abstract Number: 394
Hospital Medicine 2019, March 24-27, National Harbor, Md.
Background: As of 2017, 96% of non-federal acute care hospitals had an electronic health record (EHR). Hospitalists interact with the EHR for several hours each day. Many studies have suggested a direct correlation between physician burnout and frustrations with the EHR. Data has been published regarding physician time studies in the outpatient setting, but there […]