Publications by authors named "David M Nestler"

Introduction: Health equity for all patients is an important characteristic of an effective healthcare system. Bias has the potential to create inequities. In this study, we examine emergency department (ED) throughput and care measures for sex-based differences, including metrics such as door-to-room (DTR) and door-to-healthcare practitioner (DTP) times to look for potential signs of systemic bias.

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Objective: To assess the generalizability of a clinical machine learning algorithm across multiple emergency departments (EDs).

Patients And Methods: We obtained data on all ED visits at our health care system's largest ED from May 5, 2018, to December 31, 2019. We also obtained data from 3 satellite EDs and 1 distant-hub ED from May 1, 2018, to December 31, 2018.

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Background: The Institute of Medicine, the National Patient Safety Foundation, and The Joint Commission have advocated for increased systematic care review to inform future quality improvement. Developing a system to efficiently gather meaningful feedback, review care, and identify areas for improvement can take years to construct. Yet, these systems are vital to reducing future medical error.

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The ability of a Real Time Location System (RTLS) to provide correct information in a clinical environment is an important consideration in evaluating the effectiveness of the technology. While past efforts describe how well the technology performed in a lab environment, the performance of such technology has not been specifically defined or evaluated in a practice setting involving workflow and movement. Clinical environments pose complexity owing to various layouts and various movements.

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Background: Emergency department (ED) operations leaders are under increasing pressure to make care delivery more efficient. Publicly reported ED efficiency metrics are traditionally patient centred and do not show situational or facility-based improvement opportunities. We propose the consideration of a novel metric, the 'Number of Unnecessary Waits (NUW)' and the corresponding 'Unnecessary Wait Hours (UWH)', to measure space efficiency, and we describe how we used NUW to evaluate operational changes in our ED.

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Objective: To assess how staff attitudes before, during, and after implementation of a real-time location system (RTLS) that uses radio-frequency identification tags on staff and patient identification badges and on equipment affected staff's intention to use and actual use of an RTLS.

Participants And Methods: A series of 3 online surveys were sent to staff at an emergency department with plans to implement an RTLS between June 1, 2015, and November 29, 2016. Each survey corresponded with a different phase of implementation: preimplementation, midimplementation, and postimplementation.

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Real-time location systems (RTLS) has found extensive application in the healthcare setting, that is shown to improve safety, save cost, and increase patient satisfaction. More specifically, some studies have shown the efficacy of RTLS leading to an improved workflow in the emergency department. However, due to substantial implementation costs of such technologies, hospital administrators show reluctance in RTLS adoption.

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Background: Patient satisfaction surveys are vital to measuring a patient's experience of care. How scores of patients managed by emergency medicine (EM) residents change as residents progress through training is not known.

Objectives: To evaluate whether EM residents' patient satisfaction scores improve as residency training progresses, similar to clinical skill improvement.

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The Joint Commission requires ongoing and focused provider performance evaluations (OPPEs/FPPEs). The authors aim to describe current approaches in emergency medicine (EM) and identify consensus-based best practice recommendations. An online survey was distributed to leaders in EM to gain insight into current practices.

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Background: Patients who present to emergency departments (EDs) for evaluation but are noted to have left without being seen (LWBS) are potentially at great risk. Governmental agencies, such as the Centers for Medicare and Medicaid, as well as hospitals and health organizations, are examining the factors which drive LWBS, including accurately quantifying patient tolerance to wait times and targeting interventions to improve patient tolerance to waiting.

Objective: Compare traditional methods of estimating time to LWBS with an objective method using a real-time location tracking system (RTLS); examine temporal factors associated with greater LWBS rates.

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Objective: To apply time-driven activity-based costing (TDABC) methodology to determine emergency medicine physician documentation costs with and without scribes.

Methods: This was a prospective observation cohort study in a large academic emergency department. Two research assistants with experience in physician-scribe interactions and ED workflow shadowed attending physicians for a total of 64 hours in the adult emergency department.

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Background: Scribes are unlicensed professionals trained in medical data entry. Limited data exist on the impact of scribes on provider time management in the emergency department (ED). Time-motion analysis is a tool utilized in business to capture detailed movements and durations to task completion.

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Objective: Psychiatric patient boarding in emergency department (ED) is a severe and growing problem. In July 2013, Minnesota implemented a law requiring jailed persons committed to state psychiatric facilities be transferred within 48-h of commitment. This study aims to quantify the effect of this law on a large ED's psychiatric patient flow.

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Background: Clinical care review is the process of retrospectively examining potential errors or gaps in medical care, aiming for future practice improvement. The objective of our systematic review is to identify the current state of care review reported in peer-reviewed publications and to identify domains that contribute to successful systems of care review.

Methods: A librarian designed and conducted a comprehensive literature search of eight electronic databases.

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Background: It is unclear how workflow interruptions impact emergency physicians at the point of care.

Objectives: Our study aimed to evaluate interruption characteristics experienced by academic emergency physicians.

Methods: This prospective, observational study collected interruptions during attending physician shifts.

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Background: Contact tracing is the systematic method of identifying individuals potentially exposed to infectious diseases. Electronic medical record (EMR) use for contact tracing is time-consuming and may miss exposed individuals. Real-time location systems (RTLSs) may improve contact identification.

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Background: Anaphylaxis is a potentially life-threatening allergic reaction; measures including prescription of an epinephrine autoinjector (EAI) and allergy/immunology (A/I) follow-up may prevent future morbidity.

Objective: The objective of this study was to evaluate trends in outpatient management of anaphylaxis by studying EAI dispensing and A/I follow-up among patients seen in the emergency department (ED) for anaphylaxis from 2005 through 2014.

Methods: We analyzed administrative claims data from the OptumLabs Data Warehouse database using an expanded International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis code algorithm.

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Background: Scribe use throughout health care is becoming more common. There is limited peer-reviewed literature supporting this emerging role in health care despite rapid uptake of the role.

Objectives: Our study assesses impact of scribes on relative value units (RVUs) in adult and pediatric emergency departments (EDs).

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Objectives: Assess the impact of scribes on an academic emergency department's (ED) throughput one year after implementation.

Methods: A prospective cohort design compared throughput metrics of patients managed when scribes were and were not a part of the treatment team during pre-defined study hours in a tertiary academic ED with both an adult and pediatric ED. An alternating-day pattern one year following scribe implementation ensured balance between the scribe and non-scribe groups in time of day, day of week, and patient complexity.

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Objectives: Despite a high prevalence of coronary heart disease in both genders, studies show a gender disparity in evaluation whereby women are less likely than men to undergo timely or comprehensive cardiac investigation. Using videographic analysis, we sought to quantify gender differences in provider recommendations and patient evaluations.

Methods: We analyzed video recordings from our Chest Pain Choice trial, a single center patient-level randomized trial in which emergency department patients with chest pain being considered for cardiac stress testing were randomized to shared decision-making or usual care.

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Study Objective: We describe the use of the Kano Attractive Quality analytic tool to improve an identified patient experience gap in perceived compassion by emergency department (ED) providers.

Methods: In phase 1, point-of-service surveying assessed baseline patient perception of ED provider compassion. Phase 2 deployed Kano surveys to predict the effect of 4 proposed interventions on patient perception.

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Objectives: Assess the impact of scribes on an academic emergency department's (ED) patient-specific throughput.

Methods: Study design, setting, participants: A prospective cohort design compared throughput metrics of patients managed when scribes were and were not a part of the treatment team during pre-defined study hours in a tertiary academic ED with both an adult and pediatric ED.

Intervention: Eight scribes were hired and trained on-site by a physician with experience in scribe implementation.

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Sociometers are wearable sensors that continuously measure body movements, interactions, and speech. The purpose of this study is to test sociometers in a smart environment in a live clinical setting, to assess their reliability in capturing and quantifying data. The long-term goal of this work is to create an intelligent emergency department that captures real-time human interactions using sociometers to sense current system dynamics, predict future state, and continuously learn to enable the highest levels of emergency care delivery.

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