Dr. Arlene Chung and CHIP doctoral student Ashley Griffin recently published, titled "From Patient Engagement to Precision Oncology: Leveraging Informatics to Advance Cancer Care"
Authors: Ashley C. Griffin, Umit Topaloglu, Sean Davis, Arlene E. Chung
Objective: Conduct a survey of the literature for advancements in cancer informatics over the last three years in three specific areas where there has been unprecedented growth: 1) digital health; 2) machine learning; and 3) precision oncology. We also highlight the ethical implications and future opportunities within each area. Read the full article here.
CHIP's doctoral student, Rachel Stemerman successfully defended her dissertation titled “Machine learning approaches for identifying social determinants of health in electronic health record clinical notes”
Members of her committee:
Rebecca Kitzmiller, PhD, MHR, RN, BC, School of Nursing (Chair),
Jaime Arguello, PhD, School of Information & Library Sciences
Jane Brice, MD, MPH, Department Chair, UNC Emergency Medicine
Ashok Krishnamurthy, PhD, School of Computer Science
Lukasz Mazur, PhD, Director, Division of Healthcare Engineering
Dr. Saif Khairat and CHIP doctoral student Malvika Pillai recently published a Journal of Patient Experience titled “Evaluating the Telehealth Experience of Patients With COVID-19 Symptoms: Recommendations on Best Practices”
Authors: Saif Khairat, Malvika Pillai, Barbara Edson, Robert Gianforcaro
Abstract: Positive patient experiences are associated with illness recovery and adherence to medication. To evaluate the virtual care experience for patients with COVID-19 symptoms as their chief complaints. We conducted a cross-sectional study of the first cohort of patients with COVID-19 symptoms in a virtual clinic. The main end points of this study were visit volume, wait times, visit duration, patient diagnosis, prescriptions received, and satisfaction. Of the 1139 total virtual visits, 212 (24.6%) patients had COVID-19 symptoms. The average wait time (SD) for all visits was 75.5 (121.6) minutes. The average visit duration for visits was 10.5 (4.9) minutes. The highest volume of virtual visits was on Saturdays (39), and the lowest volume was on Friday (19). Patients experienced shorter wait times (SD) on the weekdays 67.1 (106.8) minutes compared to 90.3 (142.6) minutes on the weekends. The most common diagnoses for patients with COVID-19 symptoms were upper respiratory infection. Patient wait times for a telehealth visit varied depending on the time and day of appointment. Long wait times were a major drawback in the patient experience. Based on patient-reported experience, we proposed a list of general, provider, and patient telehealth best practices.This study aims to examine the comparative effectiveness of different approaches to provide primary care during the widespread transition from in-person to remote visits during the pandemic. The study examines how telemedicine is offered to and experienced by diverse populations as well as telemedicine’s effectiveness on outcomes and disparities among people with chronic conditions. The study uses PCORnet® to examine the impact of telemedicine on patient-centered outcomes and disparities in outcomes for patients with chronic disease at many clinics. Read the full article here.
Dr. Lukasz Mazur recently published an article with CHIP doctoral student Karthik Adapa and PSM BMHI alumni (Tanzila Zaman,
Trusha Taneja) titled "Augmented reality in patient education and health literacy: a scoping review protocol"
Authors: Karthik Adapa , Saumya Jain, Richa Kanwar, Tanzila Zaman, Trusha Taneja, Jennifer Walker, Lukasz Mazur
Background: Health literacy enables the patients in understanding the basic healthcare information and taking informed health decisions; thus, it is a desirable goal of any healthcare system. It increases patients’ adherence to treatment, improves the quality of care and eases the overall burden on the healthcare system. In recent years, technological solutions are being increasingly used in educating patients and achieving better health literacy. Augmented reality (AR) provides powerful, contextual and situated learning experiences and supplements the real world with virtual objects. AR could potentially be an effective learning methodology for the patients, thus, warranting a comprehensive overview of the current state of AR in patient education and health literacy. Read the full article here.
The 3rd edition of Public Health Informatics and Information Systems is now published. This book outlines the data and information systems needed to strengthen public health systems in times of emerging health threats and routine practice situations.
CHIP doctoral student, Amy Ising was a co-author on the book chapter “Syndromic Surveillance: A Practical Application of Informatics” with Mike Coletta of the CDC.
More information about this latest edition is available on the Springer website
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