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The US Department of Veterans Affairs (VA) is using an automated short message service application named “Annie” as part of its coronavirus disease 2019 (COVID-19) response with a protocol for coronavirus precautions, which can help the veteran monitor symptoms and can advise the veteran when to contact his or her VA care team or a nurse triage line. We surveyed 1134 veterans on their use of the Annie application and coronavirus precautions protocol. Survey results support what is likely a substantial resource savings for the VA, as well as non-VA community healthcare. Moreover, the majority of veterans reported at least 1 positive sentiment (felt more connected to VA, confident, or educated and/or felt less anxious) by receiving the protocol messages. The findings from this study have implications for other healthcare systems to help manage a patient population during the coronavirus pandemic.

This paper reports the results of a literature review of health care organizations that have transitioned from one electronic health record (EHR) to another. Ten different EHR to EHR transitions are documented in the academic literature. In eight of the 10 transitions, the health care organization transitioned to Epic, a commercial EHR which is dominating the market for large and medium hospitals and health care systems. The focus of the articles reviewed falls into two main categories: (1) data migration from the old to new EHR and (2) implementation of the new EHR as it relates to patient safety, provider satisfaction, and other measures pre-and post-transition. Several conclusions and recommendations are derived from this review of the literature, which may be informative for healthcare organizations preparing to replace an existing EHR. These recommendations are likely broadly relevant to EHR to EHR transitions, regardless of the new EHR vendor.

Although numerous healthcare organizations have transitioned from one electronic health record (EHR) to another or are currently planning a transition, there are few documented artifacts, such as published studies or operationalizable resources, that offer guidance on such transitions. This panel seeks to begin a conversation about human factors considerations in EHR transitions from a legacy system. Panel members will discuss current literature and research on the topic as well as experiences with and lessons learned from transitions within their organizations. Panel discussion can be expected to identify new research opportunities, needed resources, and guidance for EHR vendors or healthcare facilities in the midst of or preparing for an EHR transition. Panelists will also lay out systemic issues that need to be addressed at the national policy and regulatory level. This topic is relevant not only to full-scale EHR transitions, but also has applicability for significant EHR version changes.

Background The introduction of the electronic health record (EHR) has had a significant impact on provider–patient interactions, particularly revolving around patient-centeredness. More research is needed to understand the provider perspective of this interaction. Objectives Our objective was to obtain provider feedback on a new exam room design compared with the one already in use with respect to the computing layout, which included a wall-mounted monitor for ease of (re)-positioning. An additional objective was to understand elements of exam room design and computing that were highly valued. Methods Semistructured interviews were conducted with 28 providers from several health care organizations. Interviews were audio recorded and transcribed for analysis. We used an inductive coding approach to abstract recurrent themes from the data. Results Our analysis revealed several themes organized around exam room layout, exam room computing, and provider workflow. We report frequency of occurrence of the coded data for computer accessories, computing usefulness, computer mobility, documentation habits, form factor, layout preference, patient interaction, screen sharing, and work habits. Conclusion Providers in our study preferred exam room design to promote flexibility, mobility, and body orientation directed toward the patient. Providers also expressed the need for exam room design to support varying work habits and preferences, including whether to share the computer screen or not.

Several factors contribute to the divide between applied research and operations for health information technology. These differentiating factors include: work performance metrics, project interests, funding, timelines, goals, incentives, and interpretation and dissemination of findings. We propose specific recommendations for addressing each of these factors to help reduce this gap. Factors and corresponding recommendations are drawn from experiences working in both research and operations positions within the Veterans Health Administration. The lessons learned and associated recommendations are likely to be relevant to other healthcare institutions.

The Department of Veterans Affairs (VA) has developed a new exam room design standard that is intended to facilitate a greater degree of patient centeredness. This new design includes a wall-mounted monitor on an armature system and a moveable table workspace. To date, however, this design has not been formally evaluated in a field setting. We conducted observations and interviews with primary care providers and their patients from three locations within the Phoenix VA Health Care System, in a pilot study comparing the new exam room design standard with the older legacy exam rooms. When using the new exam room layout, providers spent a greater proportion of time focused on the patient, spent more time in screen-sharing activities with the patient, and had a higher degree of self-reported situation awareness. However, the legacy exam rooms were perceived as better facilitating workflow integration. Provider and patient debrief interviews were supportive of the new exam room design. Overall, our field study results suggest that the new exam room design does contribute to a greater degree of patient centeredness, though more thorough evaluations are required to support these preliminary results.

The quality of usability testing is highly dependent upon the associated usability scenarios. To promote usability testing as part of electronic health record (EHR) certification, the Office of the National Coordinator (ONC) for Health Information Technology requires that vendors test specific capabilities of EHRs with clinical end-users and report their usability testing process - including the test scenarios used - along with the results. The ONC outlines basic expectations for usability testing, but there is little guidance in usability texts or scientific literature on how to develop usability scenarios for healthcare applications. The objective of this article is to outline key factors to consider when developing usability scenarios and tasks to evaluate computer-interface based health information technologies. To achieve this goal, we draw upon a decade of our experience conducting usability tests with a variety of healthcare applications and a wide range of end-users, to include healthcare professionals as well as patients. We discuss 10 key factors that influence scenario development: objectives of usability testing; roles of end-user(s); target performance goals; evaluation time constraints; clinical focus; fidelity; scenario-related bias and confounders; embedded probes; minimize risks to end-users; and healthcare related outcome measures. For each factor, we present an illustrative example. This article is intended to aid usability researchers and practitioners in their efforts to advance health information technologies. The article provides broad guidance on usability scenario development and can be applied to a wide range of clinical information systems and applications.

Patient safety issues continue to be prevalent in delivering care with the electronic health record (EHR) and other health information technology (HIT) tools. Defining the unit of analysis for the study of clinical information systems is important based on the focus of the research. This study applies a conceptual framework with three levels of units of analysis for human-computer interaction (HCI) to identify and guide investigations at each level. Ethnographic observations and semi-structured, key-informant interviews were conducted with 40 healthcare workers across five primary care clinics, nine specialty clinics, and one inpatient ward at a tertiary-care Veterans Affairs Medical Center (VAMC). Two researchers recorded the interactions and interview responses of 40 healthcare workers related to their work with computerized consultations, clinical documentation, and the EHR in general. Patient safety issues from these data were categorized using three different units of analysis: EHR interface-, team coordination / workflow-, and organizational-levels. A total of 30 patient safety issues were identified; 17 emerged from the observation and interview data on computerized consults, 10 from the data on clinical documentation, and 3 were related to the EHR in general. Patient safety issues were organized by level of unit of analysis and mapped to specific methods that could be used for further investigation. Relevant concepts are discussed to help guide investigations at each level.

Background Interest in human factors has increased across healthcare communities and institutions as the value of human centred design in healthcare becomes increasingly clear. However, as human factors is becoming more prominent, there is growing evidence of confusion about human factors science, both anecdotally and in scientific literature. Some of the misconceptions about human factors may inadvertently create missed opportunities for healthcare improvement. Methods The objective of this article is to describe the scientific discipline of human factors and provide common ground for partnerships between healthcare and human factors communities. Results The primary goal of human factors science is to promote efficiency, safety and effectiveness by improving the design of technologies, processes and work systems. As described in this article, human factors also provides insight on when training is likely (or unlikely) to be effective for improving patient safety. Finally, we outline human factors specialty areas that may be particularly relevant for improving healthcare delivery and provide examples to demonstrate their value. Conclusions The human factors concepts presented in this article may foster interdisciplinary collaborations to yield new, sustainable solutions for healthcare quality and patient safety.

In order to create user-centered design information to guide the development of personal health records (PHRs), 24 patients participated in usability assessments of VA's MyHealtheVet program. Observational videos and efficiency measures were collected among users performing four PHR scenarios: registration and log-in, prescription refill, tracking health, and searching for health information. Twenty-five percent of users successfully completed registration. Individuals preferred prescription numbers over names, sometimes due to privacy concerns. Only efficiency in prescription refills was significantly better than target values. Users wanted to print their information to share with their doctors, and questioned the value of MyHealtheVet search functions over existing online health information. In summary, PHR registration must balance simplicity and security, usability tests guide how PHRs can tailor functions to individual preferences, PHRs add value to users' data by making information more accessible and understandable, and healthcare organizations should build trust for PHR health content.

With the United States national goal and incentive program to transition from paper to electronic health records (EHRs), healthcare organizations are increasingly implementing EHRs and other related health information technology (IT). However, in institutions which have long adopted these computerized systems, such as the Veterans Health Administration, healthcare workers continue to rely on paper to complete their work. Furthermore, insufficient EHR design also results in computer-based workarounds. Using direct observation with opportunistic interviewing, we investigated the use of paper- and computerbased workarounds to the EHR with a multi-site study of 54 healthcare workers, including primary care providers, nurses, and other healthcare staff. Our analysis revealed several paper- and computer-based workarounds to the VA’s EHR. These workarounds, including clinician-designed information tools, provide evidence for how to enhance the design of the EHR to better support the needs of clinicians.

The aim of this investigation was to assess helpful and challenging aspects of electronic health information with respect to clinical workflow and identify a set of characteristics that support patient care processes. We conducted 20 semi-structured interviews at a Veterans Affairs Medical Center, with a fully implemented electronic health record (EHR), and elicited positive and negative examples of how information technology (IT) affects the work of healthcare employees. Responses naturally shed light on information characteristics that aid work processes. We performed a secondary analysis on interview data and inductively identified characteristics of electronic information that support healthcare workflow. Participants provided 199 examples of how electronic information affects workflow. Seventeen characteristics emerged along with four primary domains: trustworthy and reliable; ubiquitous; effectively displayed; and adaptable to work demands. Each characteristic may be used to help evaluate health information technology pre- and post-implementation. Results provide several strategies to improve EHR design and implementation to better support healthcare workflow.

Personal health records (PHRs) are designed to help people manage information about their health. Over the past decade, there has been a proliferation of PHRs, but research regarding their effects on clinical, behavioral, and financial outcomes remains limited. The potential for PHRs to facilitate patient-centered care and health system transformation underscores the importance of embracing a broader perspective on PHR research.Drawing from the experiences of VA staff to evaluate the My HealtheVet (MHV) PHR, this article advocates for a health services research perspective on the study of PHR systems.We describe an organizing framework and research agenda, and offer insights that have emerged from our ongoing efforts regarding the design of PHR-related studies, the need to address PHR data ownership and consent, and the promotion of effective PHR research collaborations.These lessons are applicable to other PHR systems and the conduct of PHR research across different organizational contexts.

Electronic health record (EHR) systems and health information technology (IT) hold unrealized potential for improving the quality, continuity, and safety of medical care; they can also introduce new gaps in care and present unique challenges for healthcare workers. We conducted 14 key informant, semi-structured interviews at a large Veterans Affairs Medical Center and asked healthcare employees why paper use persists despite a fully implemented EHR. In this investigation, we performed a secondary analysis on interview data to identify characteristics of information technology (IT) that are important to support healthcare workflow. As a result of this study, 17 distinct information characteristics emerged; in this document, we provide detail on five characteristics that were often cited as desirable for workflow but insufficiently supported by health IT: 1) customizable, 2) prioritized, 3) trendable, 4) locatable, and 5) accessible. Results from this study reveal key electronic information characteristics for healthcare workflow and have implications for patient safety and future health IT designs.

Objective Healthcare organizations are increasingly implementing electronic health records (EHRs) and other related health information technology (IT). Even in institutions which have long adopted these computerized systems, employees continue to rely on paper to complete their work. The objective of this study was to explore and understand human-technology integration factors that may be causing employees to rely on paper alternatives to the EHR. Methods We conducted semi-structured interviews with 20 key-informants in a large Veterans Affairs Medical Center (VAMC), with a fully implemented EHR, to understand the use of paper-based alternatives. Participants included clinicians, administrators, and IT specialists across several service areas in the medical center. Results We found 11 distinct categories of paper-based workarounds to the use of the EHR. Paper use related to the following: (1) efficiency; (2) knowledge/skill/ease of use; (3) memory; (4) sensorimotor preferences; (5) awareness; (6) task specificity; (7) task complexity; (8) data organization; (9) longitudinal data processes; (10) trust; and (11) security. We define each of these and provide examples that demonstrate how these categories promoted paper use in spite of a fully implemented EHR. Conclusions In several cases, paper served as an important tool and assisted healthcare employees in their work. In other cases, paper use circumvented the intended EHR design, introduced potential gaps in documentation, and generated possible paths to medical error. We discuss implications of these findings for EHR design and implementation.

Healthcare organizations are increasingly implementing electronic medical records (EMRs) and other related health information technology (IT). Even in institutions which have long adopted these computerized systems, there are still instances where employees rely on paper to complete their work. The use of paper suggests that parts of the EMR may not be sufficiently designed to support clinicians and their work processes. To understand the use of paper-based alternatives, we conducted 14 key-informant interviews in a large Veterans Affairs Medical Center (VAMC), with a fully implemented EMR. We found nine distinct categories of paper-based workarounds to the use of the EMR. In several cases, paper served as an important tool and assisted healthcare employees in their work. In other cases, paper use circumvented the intended EMR design, introduced potential gaps in documentation, and generated possible paths to medical error. We discuss implications of these findings for EMR design and implementation.

Background Healthcare professionals develop workarounds rather than using electronic health record (EHR) systems. Understanding the reasons for workarounds is important to facilitate user-centered design and alignment between work context and available health information technology tools. Objective To examine both paper- and computerbased workarounds to the use of EHR systems in three benchmark institutions. Methods Qualitative data were collected in 11 primary care outpatient clinics across three healthcare institutions. Data collection methods included direct observation and opportunistic questions. In total, 120 clinic staff and providers and 118 patients were observed. All data were analyzed using previously developed workaround categories and examined for potential new categories. Additionally, workarounds were coded as either paper- or computer-based. Results Findings corresponded to 10 of 11 workaround categories identified in previous research. All 10 of these categories applied to paper-based workarounds; five categories also applied to computerbased workarounds. One new category, no correct path (eg, a desired option did not exist in the computer interface, precipitating a workaround), was identified for computer-based workarounds. The most consistent reasons for workarounds across the three institutions were efficiency, memory, and awareness. Conclusions Consistent workarounds across institutions suggest common challenges in outpatient clinical settings and failures to accommodate these challenges in EHR design. An examination of workarounds provides insight into how providers adapt to limiting EHR systems. Part of the design process for computer interfaces should include user-centered methods particular to providers and healthcare settings to ensure uptake and usability.

Article-at-a-Glance Background Although the potential benefits of more usable health information technologies (HIT) are substantial—reduced HIT support costs, increased work efficiency, and improved patient safety—human factors methods to improve usability are rarely employed. The US Department of Veterans Affairs (VA) has emerged as an early leader in establishing usability laboratories to inform the design of HIT, including its electronic health record. Experience with a usability laboratory at a VA Medical Center provides insights on how to design, implement, and leverage usability laboratories in the health care setting. Implementation The VA Health Services Research and Development Service Human-Computer Interaction & Simulation Laboratory emerged as one of the first VA usability laboratories and was intended to provide research-based findings about HIT designs. This laboratory supports rapid prototyping, formal usability testing, and analysis tools to assess existing technologies, alternative designs, and potential future technologies. Results of Implementation Although the laboratory has maintained a research focus, it has become increasingly integrated with VA operations, both within the medical center and on a national VA level. With this resource, data-driven recommendations have been provided for the design of HIT applications before and after implementation. Conclusion The demand for usability testing of HIT is increasing, and information on how to develop usability laboratories for the health care setting is often needed. This article may assist other health care organizations that want to invest in usability resources to improve HIT. The establishment and utilization of usability laboratories in the health care setting may improve HIT designs and promote safe, high-quality care for patients.

Objective In parts of the developing world traditionally modeled healthcare systems do not adequately meet the needs of the populace. This can be due to imbalances in both supply and demand—there may be a lack of sufficient healthcare and the population most at need may be unable or unwilling to take advantage of it. Home-based care has emerged as a possible mechanism to bring healthcare to the populace in a cost-effective, useful manner. This study describes the development, implementation, and evaluation of a mobile device-based system to support such services. Materials and Methods Mobile phones were utilized and a structured survey was implemented to be administered by community health workers using Open Data Kit. This system was used to support screening efforts for a population of two million persons in western Kenya. Results Users of the system felt it was easy to use and facilitated their work. The system was also more cost effective than pen and paper alternatives. Discussion This implementation is one of the largest applications of a system utilizing handheld devices for performing clinical care during home visits in a resource-constrained environment. Because the data were immediately available electronically, initial reports could be performed and important trends in data could thus be detected. This allowed adjustments to the programme to be made sooner than might have otherwise been possible. Conclusion A viable, cost-effective solution at scale has been developed and implemented for collecting electronic data during household visits in a resource-constrained setting.

Objective The consultation request process between primary care and specialty services often contains paper-based components that may be inefficient and difficult to track. Other barriers may include workarounds and communication breakdowns with the potential to adversely impact delivery of quality medical care. We investigated current challenges to the electronic outpatient consult management process in the United States Veterans Health Administration (VHA). Design We conducted ethnographic observation and semi-structured interviews in nine different specialty clinics and three primary care clinics in a large, tertiary Veterans Affairs Medical Center (VAMC). We also performed a national-level query of ‘electronic error and enhancement requests’ (E3Rs) related to the consult package in the VA's electronic health record (EHR) submitted over a 5-year period (2005–2009). Measurements Two researchers recorded the observable interactions and interview responses of 16 healthcare workers related to their work with consultations. Two separate coding schemes were applied to both the observational and the interview data. E3Rs from the national query were reviewed and categorized based on the nature of the enhancement requests. Results We identified several examples of paper persistence, as well as workarounds, communication breakdowns, and redundancies in computerized consult management. An analysis of enhancement requests for the consults also revealed three broad needs related to reporting, configuration or customization, and user interface enhancements. Conclusion Understanding these challenges to the current consult management process is important to help design enhanced informatics tools integrated into workflow to support coordination of care and tracking of consults requests.

The Institute of Medicine report, Crossing the Quality Chasm, called for significant improvements in 6 elements of healthcare performance: safety, effectiveness, patient centeredness, timeliness, efficiency, and equity. To meet the changing care needs of older veterans, many of whom are trying to manage the complexities of their chronic diseases in their own homes, the Veterans Health Administration (VHA) has promoted many of the Institute of Medicine elements by implementing health information technology (health IT), such as telehealth and a personal health record (PHR). To that end, approximately 5 years ago, VHA created the Office of Care Coordination and in particular a patient-centered Care Coordination/Home Telehealth (CCHT) program, which uses telehealth technologies (eg, messaging devices) to coordinate care directly from a patient's home to help self-manage their chronic diseases. VHA has also developed a PHR, My HealtheVet, which is a secure web-based portal that provides veterans the capability to access and manage health information. This article discusses the mechanisms by which these forms of health IT have been implemented to improve access to care and improve health. For telehealth, we present the outcomes from some of the published literature. For PHRs, we outline what is known to date and future research directions. The article also examines some structural, policy-related, and organizational barriers to health IT implementation and offers suggestions for future research.