176 results match your criteria: "National Center for Human Factors in Healthcare[Affiliation]"

Healthcare information technologies are now a routine component of patient-clinician interactions. Originally designed for operational functions including billing and regulatory compliance, these systems have had unintended consequences including increased exam room documentation, divided attention during the visit, and use of scribes to alleviate documentation burdens. In an age in which technology is ubiquitous in everyday life, we must re-envision healthcare technology to support both clinical operations and, above all, the patient-clinician relationship.

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A Decade of Health Information Technology Usability Challenges and the Path Forward.

JAMA

February 2019

Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Baylor College of Medicine, Houston, Texas.

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Article Synopsis
  • Patient-Reported Outcomes (PROs) can enhance clinical management and patient self-care, but adoption rates among patients and healthcare providers are low due to system-related challenges.
  • A study applied the socio-technical systems model to understand how patients and providers interact with PRO data through apps, gathering insights from 18 patients and 9 healthcare providers via interviews.
  • Findings revealed younger patients preferred using apps when actively managing health issues, while older patients favored traditional, passive methods and direct communication with providers; all groups highlighted the need for user-friendly apps with transparent privacy policies and effective communication.
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Accreditation standards are at the forefront of evolving healthcare systems, setting metrics for high-quality care. Healthcare outcomes (health, experience, cost, provider satisfaction/burn out) are becoming mutual goals of the patient, provider, payer, and healthcare system. Achieving high-quality outcomes in cancer care necessitates collaboration among interdisciplinary teams of clinical providers, administrators, patient advocates, caregivers, and researchers.

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We identify and describe nine key, short-term, challenges to help healthcare organizations, health information technology developers, researchers, policymakers, and funders focus their efforts on health information technology-related patient safety. Categorized according to the stage of the health information technology lifecycle where they appear, these challenges relate to (1) developing models, methods, and tools to enable risk assessment; (2) developing standard user interface design features and functions; (3) ensuring the safety of software in an interfaced, network-enabled clinical environment; (4) implementing a method for unambiguous patient identification (1-4 Design and Development stage); (5) developing and implementing decision support which improves safety; (6) identifying practices to safely manage information technology system transitions (5 and 6 Implementation and Use stage); (7) developing real-time methods to enable automated surveillance and monitoring of system performance and safety; (8) establishing the cultural and legal framework/safe harbor to allow sharing information about hazards and adverse events; and (9) developing models and methods for consumers/patients to improve health information technology safety (7-9 Monitoring, Evaluation, and Optimization stage). These challenges represent key "to-do's" that must be completed before we can expect to have safe, reliable, and efficient health information technology-based systems required to care for patients.

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Identifying Electronic Health Record Usability And Safety Challenges In Pediatric Settings.

Health Aff (Millwood)

November 2018

Josh Rising is director of Healthcare Programs, Pew Health Group, Pew Charitable Trusts.

Pediatric populations are uniquely vulnerable to the usability and safety challenges of electronic health records (EHRs), particularly those related to medication, yet little is known about the specific issues contributing to hazards. To understand specific usability issues and medication errors in the care of children, we analyzed 9,000 patient safety reports, made in the period 2012-17, from three different health care institutions that were likely related to EHR use. Of the 9,000 reports, 3,243 (36 percent) had a usability issue that contributed to the medication event, and 609 (18.

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Eye-Tracking Study to Enhance Usability of Molecular Diagnostics Reports in Cancer Precision Medicine.

JCO Precis Oncol

November 2018

Vishakha Sharma, Robert A. Beckman, Shruti Rao, Simina M. Boca, Peter B. McGarvey, and Subha Madhavan, Georgetown University; Vishakha Sharma, Robert A. Beckman, Simina M. Boca, and Subha Madhavan, Georgetown University Medical Center; Allan Fong and Raj M. Ratwani, National Center for Human Factors in Healthcare, MedStar Health; and Raj M. Ratwani, Georgetown University School of Medicine, Washington, DC.

Purpose: We conducted usability studies on commercially available molecular diagnostic (MDX) test reports to identify strengths and weaknesses in content and form that drive clinical decision making. Given routine genomic testing in cancer medicine, oncologists must interpret MDX reports as well as evidence concerning clinical utility of biomarkers accurately for treatment or trial selection. This work aims to evaluate effectiveness of MDX reports in facilitating cancer treatment planning.

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Precision medicine (PM) has the potential to tailor healthcare to the individual patient by using their genetic information to guide treatment choices. However, this process is complex and difficult to understand for patients and providers alike. With a recent push in the healthcare community to understand the patient experience and engage patients in their care, it is important to give patients the opportunity to learn about PM.

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Not all organ dysfunctions are created equal - Prevalence and mortality in sepsis.

J Crit Care

December 2018

College of Medicine, Hahnemann University Hospital, Drexel University, 2900 W Queen Ln, Philadelphia, PA 19129, USA. Electronic address:

Purpose: While organ dysfunctions within sepsis have been widely studied, interaction between measures of organ dysfunction remains an understudied area. The objective of this study is to quantify the impact of organ dysfunction on in-hospital mortality in infected population.

Materials And Methods: Descriptive and multivariate analyses of retrospective data including patients (age ≥ 18 years) hospitalized at the study hospital from July 2013 to April 2016 who met the criteria for an infection visit (62,057 unique visits).

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Identifying health information technology related safety event reports from patient safety event report databases.

J Biomed Inform

October 2018

National Center for Human Factors in Healthcare, MedStar Health, 3007 Tilden St. NW, Suite 7L, Washington, D.C. 20008, USA; Georgetown University School of Medicine, 3800 Reservoir Rd NW, Washington, DC 20007, USA.

Objective: The objective of this paper was to identify health information technology (HIT) related events from patient safety event (PSE) report free-text descriptions. A difference-based scoring approach was used to prioritize and select model features. A feature-constraint model was developed and evaluated to support the analysis of PSE reports.

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Background: Outpatient providers often do not receive discharge summaries from acute care providers prior to follow-up visits. These outpatient providers may use the after-visit summaries (AVS) that are given to patients to obtain clinical information. It is unclear how effectively AVS support care coordination between clinicians.

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Data-driven approach to Early Warning Score-based alert management.

BMJ Open Qual

August 2018

Department of Emergency Medicine, College of Medicine, Drexel University, Philadelphia, Pennsylvania, USA.

Background: Increasing adoption of electronic health records (EHRs) with integrated alerting systems is a key initiative for improving patient safety. Considering the variety of dynamically changing clinical information, it remains a challenge to design EHR-driven alerting systems that notify the right providers for the right patient at the right time while managing alert burden. The objective of this study is to proactively develop and evaluate a systematic alert-generating approach as part of the implementation of an Early Warning Score (EWS) at the study hospitals.

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Background: Hospitals are increasingly turning to clinical decision support systems for sepsis, a life-threatening illness, to provide patient-specific assessments and recommendations to aid in evidence-based clinical decision-making. Lack of guidelines on how to present alerts has impeded optimization of alerts, specifically, effective ways to differentiate alerts while highlighting important pieces of information to create a universal standard for health care providers.

Objective: To gain insight into clinical decision support systems-based alerts, specifically targeting nursing interventions for sepsis, with a focus on behaviors associated with and perceptions of alerts, as well as visual preferences.

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Objective: While general design heuristics exist for graphic user interfaces, it remains a challenge to facilitate the implementation of these heuristics for the design of clinical decision support. Our goals were to map a set of recommendations for clinical decision support design found in current literature to Jakob Nielsen's traditional usability heuristics and to suggest usability areas that need more investigation.

Materials And Methods: Using a modified nominal group process, the research team discussed, classified, and mapped recommendations, organized as interface, information, and interaction, to design heuristics.

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Objectives: Interruptions and distractions have been shown to be a frequent occurrence across health care and have been linked to negative outcomes that create potential patient safety risks. Although observational studies have catalogued interruption frequency and source, the impact of an interruption is difficult to observe. We analyzed patient safety event (PSE) reports related to interruptions to identify clinical processes reported to be frequently interrupted and the reported outcomes of those interruptions.

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To characterize the variability in usability and safety of EHRs from two vendors across four healthcare systems (2 Epic and 2 Cerner). Twelve to 15 emergency medicine physicians participated from each site and completed six clinical scenarios. Keystroke, mouse click, and video data were collected.

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Background: Interruptions can adversely impact human performance, particularly in fast-paced and high-risk environments such as the emergency department (ED). Understanding physician behaviors before, during, and after interruptions is important to the design and promotion of safe and effective workflow solutions. However, traditional human factors-based interruption models do not accurately reflect the complexities of real-world environments like the ED and may not capture multiple interruptions and multitasking.

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Objective: The purpose of this study was to further explore the effect of EHRs on emergency department (ED) attending and resident physicians' perceived workload, satisfaction, and productivity through the completion of six EHR patient scenarios combined with workload, productivity, and satisfaction surveys.

Methods: To examine EHR usability, we used a live observational design combined with post observation surveys conducted over 3 days, observing emergency physicians' interactions with the EHR during a 1-hour period. Physicians were asked to complete six patient scenarios in the EHR, and then participants filled two surveys to assess the perceived workload and satisfaction with the EHR interface.

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The victims of medical error reach far beyond the patient. The aftermath forever changes the lives of the patient's family and physician alike. We explore the life and death of nineteen-year-old Matt, a stellar athlete and better son, and the cognitive bias that led to an unfortunate and consequential medical misdiagnosis.

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Approaching Fatigue and Error in Emergency Medicine: Narrowing the Gap Between Work as Imagined and Work as Really Done.

Ann Emerg Med

August 2018

National Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health, and the Department of Emergency Medicine, Georgetown University School of Medicine, Washington, DC.

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The Impact of Interruptions on Chest Radiograph Interpretation: Effects on Reading Time and Accuracy.

Acad Radiol

December 2018

MedStar Health, National Center for Human Factors in Healthcare, 3007 Tilden Street, NW, Suite 7L, Washington, DC; Department of Emergency Medicine, Georgetown University School of Medicine, Washington, District of Columbia.

Rationale And Objectives: The objective of this study was to experimentally test the effect of interruptions on image interpretation by comparing reading time and response accuracy of interrupted case reads to uninterrupted case reads in resident and attending radiologists.

Materials And Methods: Institutional review board approval was obtained before participant recruitment from an urban academic health-care system during January 2016-March 2016. Eleven resident and 12 attending radiologists examined 30 chest radiographs, rating their confidence regarding the presence or the absence of a pneumothorax.

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