Usability analysis of contending electronic health record systems

In this paper, we report measured usability of two leading EHR systems during procurement. A total of 18 users participated in paired-usability testing of three scenarios: ordering and managing medications by an outpatient physician, medicine administration by an inpatient nurse and scheduling of appointments by nursing staff. Data for audio, screen capture, satisfaction rating, task success and errors made was collected during testing. We found a clear difference between the systems for percentage of successfully completed tasks, two different satisfaction measures and perceived learnability when looking at the results over all scenarios. We conclude that usability should be evaluated during procurement and the difference in usability between systems could be revealed even with fewer measures than were used in our study. © 2019 American Psychological Association Inc. All rights reserved.Peer reviewe

A Delphi Study Analysis of Best Practices for Data Quality and Management in Healthcare Information Systems

Healthcare in the US continues to suffer from the poor data quality practices processes that would ensure accuracy of patient health care records and information. A lack of current scholarly research on best practices in data quality and records management has failed to identify potential flaws within the relatively new electronic health records environment that affect not only patient safety but also cost, reimbursements, services, and most importantly, patient safety. The focus of this study was to current best practices using a panel of 25 health care industry data quality experts. The conceptual lens was developed from the International Monetary Fund\u27s Data Quality Management model. The key research question asked how practices contribute to identifying improvements healthcare data, data quality, and integrity. The study consisted of 3 Delphi rounds. Each round was analyzed to identify consensus on proposed data quality strategies from previous rounds that met or exceeded the acceptance threshold to construct subsequent round questions. The 2 best practices identified to improve data collection were user training and clear processes. One significant and unanticipated finding was that the previous gold standard practices have become outdated with technological advances, leading to a higher potential for flawed or inaccurate patient healthcare data. There is an urgent need for health care leaders to maintain heightened awareness of the need to continually evaluate data collection and management policies, particularly as technology advances such as artificial intelligence matures. Developing national standards to address accurate and timely management of patient care data is critical for appropriate health care delivery decisions by health care providers

Transactions of 2019 International Conference on Health Information Technology Advancement Vol. 4 No. 1

The Fourth International Conference on Health Information Technology Advancement Kalamazoo, Michigan, October 31 - Nov. 1, 2019. Conference Co-Chairs Bernard T. Han and Muhammad Razi, Department of Business Information Systems, Haworth College of Business, Western Michigan University Kalamazoo, MI 49008 Transaction Editor Dr. Huei Lee, Professor, Department of Computer Information Systems, Eastern Michigan University Ypsilanti, MI 48197 Volume 4, No. 1 Hosted by The Center for Health Information Technology Advancement, WM

Leveraging electronic health records for clinical research

Electronic health records (EHRs) can be a major tool in the quest to decrease costs and timelines of clinical trial research, generate better evidence for clinical decision making, and advance health care. Over the past decade, EHRs have increasingly offered opportunities to speed up, streamline, and enhance clinical research. EHRs offer a wide range of possible uses in clinical trials, including assisting with prestudy feasibility assessment, patient recruitment, and data capture in care delivery. To fully appreciate these opportunities, health care stakeholders must come together to face critical challenges in leveraging EHR data, including data quality/completeness, information security, stakeholder engagement, and increasing the scale of research infrastructure and related governance. Leaders from academia, government, industry, and professional societies representing patient, provider, researcher, industry, and regulator perspectives convened the Leveraging EHR for Clinical Research Now! Think Tank in Washington, DC (February 18-19, 2016), to identify barriers to using EHRs in clinical research and to generate potential solutions. Think tank members identified a broad range of issues surrounding the use of EHRs in research and proposed a variety of solutions. Recognizing the challenges, the participants identified the urgent need to look more deeply at previous efforts to use these data, share lessons learned, and develop a multidisciplinary agenda for best practices for using EHRs in clinical research. We report the proceedings from this think tank meeting in the following paper

Development and implementation of a remote monitoring and coaching intervention delivered using digital health technology for people with a history of cancer.

There is a need to improve care practices to optimally enhance physical health and health- related quality of life in people with a history of cancer. Intensive treatment of cancer can impact patients both acutely and chronically as long-term or late effects well after treatment completion. As a result, both patients with cancer and cancer survivors need additional support Supportive cancer care, including survivorship and rehabilitation services focuses on developing strategies to support survivors’ well-being and recovery during and after cancer treatment. However, despite the evidence-based benefits of these services, many barriers still exist that may restrict patients with cancer from participation and engagement. One possible solution to these challenges is the use of digital health technologies. The aim of this research was to explore current gaps in knowledge regarding digital health enabled supportive cancer care and design and develop a digital health enabled intervention, specifically tailored to the needs of people with a cancer diagnosis. The experience culminated in the implementation of a 10-week prospective cohort trial, focused on the feasibility and acceptability of a patient-provider tracking and exercise coaching portal. As evidenced by the research studies presented within this thesis, findings suggest that patient-centric supportive care can be provided to cancer patients using a digital health enabled approach. Further, remote monitoring and individual exercise coaching can feasibly be offered to patient populations who may not be able to conveniently access support services, or who choose to access these services remotely. Several recommendations for future research and future directions were provided to further this area of research

The Trajectory of IT in Healthcare at HICSS: A Literature Review, Analysis, and Future Directions

Research has extensively demonstrated that healthcare industry has rapidly implemented and adopted information technology in recent years. Research in health information technology (HIT), which represents a major component of the Hawaii International Conference on System Sciences, demonstrates similar findings. In this paper, review the literature to better understand the work on HIT that researchers have conducted in HICSS from 2008 to 2017. In doing so, we identify themes, methods, technology types, research populations, context, and emerged research gaps from the reviewed literature. With much change and development in the HIT field and varying levels of adoption, this review uncovers, catalogs, and analyzes the research in HIT at HICSS in this ten-year period and provides future directions for research in the field