Designing patient-centric information displays for hospitals (original) (raw)
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Toward Designing Information Display to Support Critical Care
Applied Clinical Informatics, 2016
Objectives: Electronic health information overload makes it difficult for providers to quickly find and interpret information to support care decisions. The purpose of this study was to better understand how clinicians use information in critical care to support the design of improved presentation of electronic health information. Methods: We conducted a contextual analysis and visioning project. We used an eye-tracker to record 20 clinicians' information use activities in critical care settings. We played video recordings back to clinicians in retrospective cued interviews and queried: 1) context and goals of information use, 2) impacts of current display design on use, and 3) processes related to information use. We analyzed interview transcripts using grounded theory-based content analysis techniques and identified emerging themes. From these, we conducted a visioning activity with a team of subject matter experts and identified key areas for focus of design and research for future display designs. Results: Analyses revealed four unique critical care information use activities including new patient assessment, known patient status review, specific directed information seeking, and review and prioritization of multiple patients. Emerging themes were primarily related to a need for better representation of dynamic data such as vital signs and laboratory results, usability issues associated with reducing cognitive load and supporting efficient interaction, and processes for managing information. Visions for the future included designs that: 1) provide rapid access to new information, 2) organize by systems or problems as well as by current versus historical patient data, and 3) apply intelligence toward detecting and representing change and urgency. Conclusions: The results from this study can be used to guide the design of future acute care electronic health information display. Additional research and collaboration is needed to refine and implement intelligent graphical user interfaces to improve clinical information organization and prioritization to support care decisions. Research Article Melanie C. Wright et al.: Toward designing information display to support critical care This document was downloaded for personal use only. Unauthorized distribution is strictly prohibited.
Applied clinical informatics, 2016
Electronic health information overload makes it difficult for providers to quickly find and interpret information to support care decisions. The purpose of this study was to better understand how clinicians use information in critical care to support the design of improved presentation of electronic health information. We conducted a contextual analysis and visioning project. We used an eye-tracker to record 20 clinicians' information use activities in critical care settings. We played video recordings back to clinicians in retrospective cued interviews and queried: 1) context and goals of information use, 2) impacts of current display design on use, and 3) processes related to information use. We analyzed interview transcripts using grounded theory-based content analysis techniques and identified emerging themes. From these, we conducted a visioning activity with a team of subject matter experts and identified key areas for focus of design and research for future display design...
Information Display in the Intensive Care Unit – Considerations for System Design and Implementation
Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care, 2017
Healthcare working environments are complex, and intensive care units (ICUs) are particularly complex due to the influx of data to the healthcare professionals who are providing continuous care to the most critically ill patients. Systems that are designed to work in these environments should take into consideration varied patient conditions, the clinical professionals who use these systems, and the features and performance requirements that will support their efforts to provide care to their patients. We suggest that developing systems that will meet these challenges requires customized design approach, including cognitive system engineering. Until recently, this work domain has been largely ignored by manufacturers of patient monitoring systems. This panel brought together two separate teams who have been using such an approach independently to design new systems for information integration and display in ICU settings. The goals of this panel discussion were to take a close look a...
Journal of Biomedical Informatics, 2019
Objective: To systematically review original user evaluations of patient information displays relevant to critical care and understand the impact of design frameworks and information presentation approaches on decision-making, efficiency, workload, and preferences of clinicians. Methods: We included studies that evaluated information displays designed to support real-time care decisions in critical care or anesthesiology using simulated tasks. We searched PubMed and IEEExplore from 1/1/1990 to 6/30/2018. The search strategy was developed iteratively with calibration against known references. Inclusion screening was completed independently by two authors. Extraction of display features, design processes, and evaluation method was completed by one and verified by a second author. Results: Fifty-six manuscripts evaluating 32 critical care and 22 anesthesia displays were included. Primary outcome metrics included clinician accuracy and efficiency in recognizing, diagnosing, and treating problems. Implementing user-centered design (UCD) processes, especially iterative evaluation and redesign, resulted in positive impact in outcomes such as accuracy and efficiency. Innovative display approaches that led to improved human-system performance in critical care included: (1) improving the integration and organization of
Medical displays in the healthcare system
Journal of the Society for Information Display, 2007
As the healthcare system changes and progresses, the need for different types of high-performing displays is also evolving. There are three categories of displays: (a) embedded (as part of life saving devices), (b) informative (for patient data and history, and managing workflow), and (c) imaging (high performing for diagnosis). The challenges of AMLCDs, which are the display of choice at the moment mainly in digital imaging, will be discussed. These challenges include very high resolution, high brightness, and wide viewing angle. The current performance of AMLCDs and the areas which they need to improve will be reviewed. A brief summary of the standards used to specify medical (diagnostic) displays will follow. A look into the future will predict the role of displays in hospitals.
Applied Clinical Informatics, 2019
Background Hospital emergency departments (EDs) are dynamic environments, involving coordination and shared decision making by staff who care for multiple patients simultaneously. While computerized information systems have been widely adopted in such clinical environments, serious issues have been raised related to their usability and effectiveness. In particular, there is a need to support clinicians to communicate and maintain awareness of a patient's health status, and progress through the ED plan of care. Objective This study used work-centered usability methods to evaluate an integrated patient-focused status display designed to support ED clinicians' communication and situation awareness regarding a patient's health status and progress through their ED plan of care. The display design was informed by previous studies we conducted examining the information and cognitive support requirements of ED providers and nurses. Methods ED nurse and provider participants were...
CIN: Computers, Informatics, Nursing, 2020
Hospital-acquired conditions such as catheter-associated urinary tract infection, stage 3 or 4 hospital-acquired pressure injury, and falls with injury are common, costly, and largely preventable. This study used participatory design methods to design and evaluate low-fidelity prototypes of clinical dashboards to inform high-fidelity prototype designs to visualize integrated risks based on patient profiles. Five low-fidelity prototypes were developed through literature review and by engaging nurses, nurse managers, and providers as participants (N = 23) from two hospitals in different healthcare systems using focus groups and interviews. Five themes were identified from participatory design sessions: Need for Integrated Hospital-Acquired Condition Risk Tool, Information Needs, Sources of Information, Trustworthiness of Information, and Performance Tracking Perspectives. Participants preferred visual displays that represented patient comparative risks for hospital-acquired conditions using the familiar design metaphor of a gauge and green, yellow, and red "traffic light" colors scheme. Findings from this study were used to design a high-fidelity prototype to be tested in the next phase of the project. Visual displays of hospital-acquired conditions that are familiar in display and simplify complex information such as the green, yellow, and red dashboard are needed to assist clinicians in fast-paced clinical environments and be designed to prevent alert fatigue.
Novel displays of patient information in critical care settings: a systematic review
Journal of the American Medical Informatics Association, 2019
Objective Clinician information overload is prevalent in critical care settings. Improved visualization of patient information may help clinicians cope with information overload, increase efficiency, and improve quality. We compared the effect of information display interventions with usual care on patient care outcomes. Materials and Methods We conducted a systematic review including experimental and quasi-experimental studies of information display interventions conducted in critical care and anesthesiology settings. Citations from January 1990 to June 2018 were searched in PubMed and IEEE Xplore. Reviewers worked independently to screen articles, evaluate quality, and abstract primary outcomes and display features. Results Of 6742 studies identified, 22 studies evaluating 17 information displays met the study inclusion criteria. Information display categories included comprehensive integrated displays (3 displays), multipatient dashboards (7 displays), physiologic and laboratory ...
The Art of Waiting – Interactive displays in healthcare settings
Waiting in healthcare settings can be an anxious and fearful experience for children and their families. Opportunities for play are an important part of child-friendly healthcare and have been shown to reduce waiting anxiety. Conventional toys and games, however, usually have contact surfaces through which infections may be passed. Additionally, they often require fine motor movements which may not be available to children with disabilities. In this paper, we describe the design of an accessible and interactive large display to meet the needs of a hospital waiting room. We discuss the detailed design requirements, the participatory process by which the design was developed, and our plans to evaluate the efficacy of the interactive display for reducing waiting anxiety in healthcare settings.
Studies in health technology and informatics, 2008
The scope of the project was to assess the value of using high-resolution, very large displays in a hospital setting. We applied a scenario informed prototyping method and user-involvement in order to do this. Initial results suggest that the technology could prove very useful in clinical conferencing settings like the communicating process between the radiology department and the other hospital departments using their services. The possibility of bringing more visual information simultaneously to the audience is especially intriguing. However, issues such as floor control - who administers the (extra) information space and information-overload, are imminent in interface design and our prototype suggests that the clinicians do want functionality that stresses these issues.