Predictor Variables Associated With Dermatology Referral Completion and the Impact on Surgical Treatment: A Retrospective Cohort Study.

Background: Delays or failure to complete a dermatologic referral may affect health care outcomes. Factors associated with these delays remain understudied.

Objective: This study investigated socioeconomic and demographic factors associated with delays or failure to complete dermatology referrals and potential impact on surgical outcomes.

Will the Doctor "See" You Now? The Development and Implementation of a Targeted Telemedicine System for Primary Care.

Objectives: The coronavirus disease 2019 (COVID-19) pandemic led to a rapid adoption of telehealth. For underserved populations lacking internet access, telemedicine was accomplished by phone rather than an audio-video connection. The latter is presumed a more effective form and better approximation of an in-person visit.

Associations between the use of a real-time benefit tool and measures related to prescription obtainment found in order type subgroups.

Background: The use of real-time benefit tool (RTBT) may help increase transparency of patients' out-of-pocket (OOP) costs, thereby reducing patients' OOP spend and increasing prescription obtainment.

Objective: We have previously reported on the potential benefit of RTBT in electronic health records at a large health system. We explore the benefit of RTBT by subgroups of prescriptions (i.

Individual- and Neighborhood-Level Disparities in Audio-Only Telemedicine Utilization Across a Large Academic Health System.

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Implementing real-time prescription benefit tools: Early experiences from 5 academic medical centers.

Background: Medication price transparency tools are increasingly available, but data on their use, and their potential effects on prescribing behavior, patient out of pocket (OOP) costs, and clinician workflow integration, is limited.

Objective: To describe the implementation experiences with real-time prescription benefit (RTPB) tools at 5 large academic medical centers and their early impact on prescription ordering.

Design: and Participants: In this cross-sectional study, we systematically collected information on the characteristics of RTPB tools through discussions with key stakeholders at each of the five organizations.

Where Do Real-Time Prescription Benefit Tools Fit in the Landscape of High US Prescription Medication Costs? A Narrative Review.

The problem of unaffordable prescription medications in the United States is complex and can result in poor patient adherence to therapy, worse clinical outcomes, and high costs to the healthcare system. While providers are aware of the financial burden of healthcare for patients, there is a lack of actionable price transparency at the point of prescribing. Real-time prescription benefit (RTPB) tools are new electronic clinical decision support tools that retrieve patient- and medication-specific out-of-pocket cost information and display it to clinicians at the point of prescribing.

Preoperative Patient Optimization in Total Joint Arthroplasty-The Paradigm Shift from Preoperative Clearance: A Narrative Review.

Total joint arthroplasty (TJA) is one of the most common procedures performed in the United States. Outcomes of this elective procedure may be improved via preoperative optimization of modifiable risk factors. We sought to summarize the literature on the clinical implications of preoperative risk factors in TJA and to develop recommendations regarding preoperative optimization of these risk factors.

Care for Incarcerated Patients Hospitalized with COVID-19.

The COVID-19 pandemic has reshaped health care delivery for all patients but has distinctly affected the most marginalized people in society. Incarcerated patients are both more likely to be infected and more likely to die from COVID-19. There is a paucity of guidance for the care of incarcerated patients hospitalized with COVID-19.

Delivering Complex Care: Designing for Patients and Physicians.

The management of high-utilizing patients is an area of active research with broad implications for the healthcare system. There are significant operational challenges to designing primary care models for these medically complex, high-needs patients. Although it is crucial to provide a high degree of continuity of care for this population, managing a cohort of these patients can lead to provider over-work and attrition.

Effect of Outpatient Note Templates on Note Quality: NOTE (Notation Optimization through Template Engineering) Randomized Clinical Trial.

Background: This is the first randomized controlled trial evaluating the impact of note template design on note quality using a simulated patient encounter and a validated assessment tool.

Objective: To compare note quality between two different templates using a novel randomized clinical simulation process.

Design: A randomized non-blinded controlled trial of a standard note template versus redesigned template.

Feature engineering with clinical expert knowledge: A case study assessment of machine learning model complexity and performance.

Incorporating expert knowledge at the time machine learning models are trained holds promise for producing models that are easier to interpret. The main objectives of this study were to use a feature engineering approach to incorporate clinical expert knowledge prior to applying machine learning techniques, and to assess the impact of the approach on model complexity and performance. Four machine learning models were trained to predict mortality with a severe asthma case study.

Columnar islands in Barrett's esophagus: Do they impact Prague C&M criteria and dysplasia grade?

Background And Aim: The standard for classifying Barrett's metaplasia on endoscopy, the Prague C&M criteria, ignores all islands of metaplastic-appearing tissue. The aims of the present study were to measure the prevalence of columnar islands, quantify their impact on metaplasia extent, and determine if they harbor advanced dysplasia.

Methods: Data from two prospective patient cohorts were retrospectively analyzed.

Faces of all clinically engaged staff: a quality improvement project that enhances the hospitalised patient experience.

Background: Patients often cannot recognise the names and faces of providers involved in their hospital care.

Objective: The aim of this study was to determine whether photographs of a patient's providers (physicians and ancillary support staff) using the FACES (Faces of All Clinically Engaged Staff) instrument would increase recognition of the healthcare team, improve the perception of teamwork, and enhance patient satisfaction.

Methods: Cluster randomised controlled trial with patients admitted to four adult internal medicine services of an urban, tertiary care hospital.