Epic electronic record

BACKGROUND: Patients with intermediate-risk prostate cancer are faced with the decision of whether to undergo radical treatment. Decision-making aids, such as Predict Prostate, can empower both clinicians and patients to make treatment decisions with personalised information, but their impact on multi-disciplinary team (MDT) decision-making and uptake of radical treatment remains unknown. OBJECTIVE: The objective of this study is to assess the utilisation and utility of Predict Prostate in informing treatment decisions for patients with intermediate-risk prostate cancer...

The objective of this study is to develop and evaluate natural language processing (NLP) and machine learning models to predict infant feeding status from clinical notes in the Epic electronic health records system. The primary outcome was the classification of infant feeding status from clinical notes using Medical Subject Headings (MeSH) terms. Annotation of notes was completed using TeamTat to uniquely classify clinical notes according to infant feeding status. We trained 6 machine learning models to classify infant feeding status: logistic regression, random forest, XGBoost gradient descent, k-nearest neighbors, and support-vector classifier...

OBJECTIVE: To support a pragmatic, electronic health record (EHR)-based randomized controlled trial, we applied user-centered design (UCD) principles, evidence-based risk communication strategies, and interoperable software architecture to design, test, and deploy a prognostic tool for children in emergency departments (EDs) with pneumonia. METHODS: Risk for severe in-hospital outcomes was estimated using a validated ordinal logistic regression model to classify pneumonia severity...

Artificial intelligence (AI) has witnessed significant advancements, reshaping various industries, including healthcare. The introduction of ChatGPT by OpenAI in November 2022 marked a pivotal moment, showcasing the potential of generative AI in revolutionising patient care, diagnosis and treatment. Generative AI, unlike traditional AI systems, possesses the ability to generate new content by understanding patterns within datasets. This article explores the evolution of AI in healthcare, tracing its roots to the term coined by John McCarthy in 1955 and the contributions of pioneers like John Von Neumann and Alan Turing...

BACKGROUND: Clinical decision support systems (CDSSs) embedded in electronic medical records (EMRs), also called electronic health records, have the potential to improve the adoption of clinical guidelines. The University of Alberta Inflammatory Bowel Disease (IBD) Group developed a CDSS for patients with IBD who might be experiencing disease flare and deployed it within a clinical information system in 2 continuous time periods. OBJECTIVE: This study aims to evaluate the impact of the IBD CDSS on the adherence of health care providers (ie, physicians and nurses) to institutionally agreed clinical management protocols...

STATEMENT OF THE PROBLEM: Standardized medical photography of the face is a vital part of patient documentation, clinical evaluation, and scholarly dissemination. Because digital photography is a mainstay in clinical care, there is a critical need for an easy-to-use mobile device application that could assist users in taking a standardized clinical photograph. ImageAssist was developed to answer this need. The mobile application is integrated into the electronic medical record (EMR); it implements and automates American Society of Plastic Surgery/Plastic Surgery Research Foundation photographic guidelines with background deletion...

BACKGROUND: The United States faces a growing challenge with over 6.5 million people living with dementia (PLwD). PLwD and their caregivers struggle with cognitive, functional, behavioral, and psychosocial issues. As dementia care shifts to home settings, caregivers receive inadequate support but bear increasing responsibilities, leading to higher healthcare costs. In response, the Centers for Medicare & Medicaid Services (CMS) introduced the Guiding an Improving Dementia Experience (GUIDE) Model...

OBJECTIVE: To identify the prevalence of obesity documented within the electronic medical record problem list. METHODS: We conducted a retrospective cohort study of adult patients with obesity and endometrial cancer receiving care from January 2018 to March 2021 at a single institution. Obesity intervention was defined as receipt of at least one of the following: referral to weight loss clinic, referral to a nutritionist, completion of obesity intervention tab, or documentation of weight loss counseling...

PRECIS: In our case series, the three-year failure for PGI implantation was 14.6%. At three years post-operatively, there was a significant reduction in mean intraocular pressure and number of glaucoma medications used. PURPOSE: To determine 3-year efficacy and safety of the PAUL Glaucoma Implant (PGI), a novel glaucoma tube shunt in patients with glaucoma. METHODS: Retrospective review of all patients who had undergone PGI implantation in a single tertiary institution in Singapore between May 1, 2017, and Jan 1, 2022...

OBJECTIVE: To evaluate the real-world performance of the SMART/HL7 Bulk Fast Health Interoperability Resources (FHIR) Access Application Programming Interface (API), developed to enable push button access to electronic health record data on large populations, and required under the 21st Century Cures Act Rule. MATERIALS AND METHODS: We used an open-source Bulk FHIR Testing Suite at 5 healthcare sites from April to September 2023, including 4 hospitals using electronic health records (EHRs) certified for interoperability, and 1 Health Information Exchange (HIE) using a custom, standards-compliant API build...

INTRODUCTION: Pediatric hospitalized patients often are discharged before all lab tests are completed. Given the risk of medical errors related to inadequate test follow-up, we piloted a collaborative initiative to address tests pending at discharge (TPAD) within our pediatric hospital medicine section. Our objectives were to delineate the responsibilities of case managers and pediatric hospital medicine clinicians in addressing these tests and to establish a communication process. METHODS: We formed an interprofessional team and performed a current state assessment, including a survey to pediatric hospital medicine clinicians to assess time spent following up TPAD and confidence that results were followed up in a timely and appropriate manner...

BACKGROUND: Managing the complex needs of outpatient parenteral antibiotic therapy (OPAT) patients is challenging and time-consuming. We describe development of multimodal interventions to facilitate patient management within an Epic® (Epic Systems Corporation)-based electronic health record (EHR) platform. METHODS: During 2016-2018, a multidisciplinary team created several modifications in our local EHR to improve gaps in OPAT care, including shared note templates, shared patient lists, automatically triggered notifications, and comprehensive order sets...

PURPOSE: To assess disparities in initial disease severity among open-angle glaucoma (OAG) patients. DESIGN: Cross-sectional study. METHODS: In this analysis of Epic Cosmos, an aggregated electronic health record dataset encompassing >213 million patients, OAG patients examined in ophthalmology or optometry clinics between January 1, 2013 and June 1, 2023 were evaluated. OAG severity at presentation was classified as mild, moderate, or severe using International Classification of Disease-10 codes...

BACKGROUND: Musculoskeletal consultations constitute a growing portion of primary care physician (PCP) referrals. Optimizing communication between PCPs and orthopaedists can potentially reduce time spent in the electronic medical record (EMR) as well as physician burnout. Little is known about the preferences of PCPs regarding communication from orthopaedic surgeons. Hence, the present study investigated, across a large health network, the preferences of PCPs regarding communication from orthopaedists...

BACKGROUND: We identified that Stanford Health Care had a significant number of patients who after discharge are found by the utilization review committee not to meet Center for Mediare and Medicaid Services (CMS) 2-midnight benchmark for inpatient status. Some of the charges incurred during the care of these patients are written-off and known as Medicare 1-day write-offs. This study which aims to evaluate the use of a Best Practice Alert (BPA) feature on the electronic medical record, EPIC, to ensure appropriate designation of a patient's hospitalization status as either inpatient or outpatient in accordance with Center for Medicare and Medicaid services (CMS) 2 midnight length of stay benchmark thereby reducing the number of associated write-offs...

OBJECTIVE: Often we call the patient's pharmacy to obtain a refill history to assess inhaled corticosteroid (ICS) adherence. The purpose of this project was to determine the accuracy of refill histories for ICS (with or without long-acting beta agonist) listed in Epic's Medication Dispense History. METHODS: We evaluated 61 patients and used data from 38 who met the following criteria: 1) under the care of the UF Pediatric Severe Asthma Clinic; 2) taking the same dose of the same ICS product for 6 months before the patient's last clinic visit; and 3) having data available from the pharmacy where the last ICS prescription was electronically sent...

To establish the feasibility of embedding an RCT into EMR in the ICU, we evaluated the route of phosphate replacement. The EMR screened 207 patients who met the inclusion criteria from 20 April 2022 to 30 June 2022. 162 patients were randomised and 145 patients allocated to treatment. Our study showed that it was feasible to embed screening, randomisation, and treatment allocation for an RCT within an EMR in the ICU.

BACKGROUND: The gap in anticoagulation use among patients with atrial fibrillation (AF) is a major public health threat. Inadequate patient education contributes to this gap. Patient portal-based messaging linked to educational materials may help bridge this gap, but the most effective messaging approach is unknown. OBJECTIVE: This study aims to compare the responsiveness of patients with AF to an AF or anticoagulation educational message between 2 portal messaging approaches: sending messages targeted at patients with upcoming outpatient appointments 1 week before their scheduled appointment (targeted) versus sending messages to all eligible patients in 1 blast, regardless of appointment scheduling status (blast), at 2 different health systems: the University of Massachusetts Chan Medical School (UMass) and the University of Florida College of Medicine-Jacksonville (UFL)...

BACKGROUND: Suicide rates in the United States have increased recently among Black men. To address this public health crisis, smartphone-based ecological momentary assessment (EMA) platforms are a promising way to collect dynamic, real-time data that can help improve suicide prevention efforts. Despite the promise of this methodology, little is known about its suitability in detecting experiences related to suicidal thoughts and behavior (STB) among Black men. OBJECTIVE: This study aims to clarify the acceptability and feasibility of using smartphone-based EMA through a pilot study that assesses the user experience among Black men...

OBJECTIVES: To compare the ability of different electronic health record alert types to elicit responses from users caring for cancer patients benefiting from goals of care (GOC) conversations. METHODS: A validated question asking if the user would be surprised by the patient's 6-month mortality was built as an Epic BestPractice Advisory (BPA) alert in three versions - 1) Required on Open chart (pop-up BPA), 2) Required on Close chart (navigator BPA), and 3) Optional Persistent (Storyboard BPA) - randomized using patient medical record number...