AMIA's Annual Symposium is the premier learning and networking conference attended by more than 2,500 health informaticians from across the world. Now, you can access full presentations and slides from the live event at your convenience while earning CME/CNE online.
AMIA 2024 Annual Symposium On Demand is designed to provide you with the very latest health informatics content with maximum value and convenience. Revisit one or all top 20 sessions from the conference, featuring leading voices from across the informatics field. Choose the format that fits your preferred learning style. Take up to two years to claim your education credits. Recorded at AMIA’s Annual Symposium, held November 9-13, 2024, in San Francisco, CA.
Choose Your Format
The Moderating Effect of Health Literacy on the Impact of a Mobile Remote Monitoring Intervention with Tailored Messages for Breast Cancer Survivors: A Post Hoc Analysis of a Randomized Controlled Trial
Women with breast cancer starting adjuvant endocrine therapy were randomized to an app-based remote monitoring intervention with and without tailored educational messages versus enhanced usual care. Among participants with low health literacy randomized to the remote monitoring app with tailored messages, 80% had high AET adherence over 12 months compared with 42.1% in enhanced usual care (p=0.01); there were no significant differences by study arm for those with high health literacy.
Learning Outcomes
- Understand the moderating effect of health literacy on the efficacy of a remote monitoring intervention on one-year adjuvant endocrine therapy adherence among women with early-stage breast cancer.
Speakers
- Ilana Graetz, Emory University
Key considerations regarding usability and effective mobile app integration into two electronic health record systems
Substitutable Medical Applications and Reusable Technology (SMART)® Applications (app) that are compatible with the Fast Healthcare Interoperability Resources (FHIR)® are the standard for integrating mobile apps and electronic health records (EHR). Our team developed a SMART on FHIR mobile application, Info Viz for Health®, to support clinical HIV-related communication with diverse persons with HIV. Unfortunately, relatively little is known regarding clinician perspectives and preferences of mobile app integration with EHRs, which if not obtained, could render apps integrated into EHRs useless. Our study objectives were to explore the perceptions of clinical EHR users from both a developed (United States (US)) and a developing (Dominican Republic (DR)) setting regarding the usability of our app and identify key factors that researchers and designers should consider when creating apps to integrate with EHRs. We conducted semi-structured in-depth interviews with n=26 clinicians (n=13 per site) who provide HIV-related health education. Interviews were led with rigorously developed guides that contained questions based on Davis’s technology acceptance model and questions to explore characteristics of effective app integration. Interviews were analyzed using qualitative content analysis. Findings indicated high perceived usability of the Info Viz for Health app and several important considerations for effective integration of apps with EHRs were identified. Namely, apps integrated with EHRs must be easy and intuitive to access/use, and must leverage commonly used features of EHRs. These findings will provide valuable information for researchers, organizations, and/or other professionals designing health-related apps for EHR integration.
Learning Outcomes
- Identify and describe several important considerations while designing mobile applications for future integrations with EHR.
Speakers
- Samantha Stonbraker, PhD, MPH, RNz, University of Colorado College of Nursing
Examining Barriers to the Adoption of a Digital Mental Health Intervention: A Mixed-Methods Study using Thematic Analysis and Machine Learning
In our mixed-methods study, we examine barriers to the adoption of Digital Mental Health intervention (DMH) among young adults. We identified digital literacy, access, in-person interaction, and a need for personalization as barriers to DMH adoption. Machine learning insights highlight significant factors influencing engagement, including illegal drug use, and suicide ideation. We recommend integrating AI and real-time support into DMH services, tailored to young adults’ socio-cultural context, to enhance engagement and effectiveness.
Learning Outcomes
- Understand the underlying reason for college students' early dropout on digital mental health intervention (DMHI).
Speakers
- Ha Na Cho, Ph.D, University of California, Irvine
Computationally-guided Qualitative Analysis of User-Generated Data for Different Models of Mobile-Personal Health Records Apps
Mobile Personal Health Records (mPHR) are smartphone apps granting patients portable and continuous access to their medical records on the go, thereby increasing their potential to play an active role in managing their healthcare. An extensive body of literature has focused on understanding user(s) experiences with web-based tethered PHRs (i.e., Patient Portals) offered by healthcare organizations. However, patients' opinions of smartphone-based PHRs have received less attention. Our study aims to understand this gap. We used a computationally-guided qualitative analysis approach to identify latent topics indicating dimensions of user experiences present in app reviews left on popular m-PHR apps available on Google Play and Apple app stores. After following a detailed app selection process, 10 m-PHR, including tethered (n=6) and interconnected (n=4) apps, were selected for analysis. Our findings show similarities in user experiences for HCO-tethered PHRs and HCO-independent interconnected PHRs, and we discuss the design implications concerning the differences.
Learning Outcomes
- Identify the three levels of PHR integration.
Speakers
- Zainab Balogun, University of Maryland Baltimore County
Getting people access to services is also getting them access to a phone: Clarifying digital divide dynamics and their consequences in Community Mental Health Care
Access to mental healthcare is increasingly technologically-mediated. People with low socioeconomic status (SES) and serious mental illness (SMI) face lower rates of tech ownership and may lack technological skills, called digital divides. Yet, little is known about how digital divides may impact mental healthcare access. Therefore, a qualitative study (ethnographic observations and interviews) was conducted with staff working with low-SES SMI patients using community mental health care (CMH) (N=14). Findings showed that consumers struggled to maintain consistent internet—and thus mental healthcare—access despite owning smartphones. Consumers frequently faced care disruptions due to broken, lost, or uncharged phones. Staff and patients created effortful but ad-hoc workarounds to restore access during technological access disruptions. These solutions frequently occurred after healthcare appointments were missed. Digital divide concepts should accommodate the work necessary to maintain technology access even after ownership and its impact on care access—especially among low-SES SMI patients.
Learning Outcomes
- Understand how technology access and technology skills impact care access for low SES individuals with SMI.
- Identify ways consumers and care workers can accommodate technological disruptions to enable care access.
Speakers
- Alicia Williamson, School of Information, University of Michigan
Barriers and Facilitators of Digital Health Use for Self-Management of Hypertensive Disorders by Black Pregnant Women
Digital health is popular for managing health conditions; however, these applications are often developed with few considerations of the differences across user populations. Tailoring such applications to include cultural considerations could lead to better adoption and adherence in such programs, but a reproducible framework is needed. This study aims to capture Black women’s barriers and facilitators in self-managing hypertensive disorders of pregnancy (HDP) using digital health products. One-on-one interviews were conducted with 17 Black pregnant women with HDP using a semi-structured interview guide. Qualitative data obtained was analyzed using grounded theory and 38 codes were mapped within the four levels of the socioecological model of health. Themes were created that identified barriers and facilitators of the women’s pregnancy experiences and used to influence the feature development of a digital health intervention. Future work will instantiate and validate a framework that provides theoretical constructs for developing culturally tailored digital health interventions.
Learning Outcomes
- Understand the importance of considering cultural differences in their digital health and informatics took development.
Speakers
- Morgan Foreman, PhD Candidate, UTHealth Houston McWilliams SBMI & IBM Research
Continuing Education Credit
Physicians
The American Medical Informatics Association is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
The American Medical Informatics Association designates this online enduring material for 1.5 AMA PRA Category 1™ credits. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Claim credit no later than January 20, 2028 or within two years of your purchase date, whichever is sooner. No credit will be issued after January 20, 2028.
Nurses
The American Medical Informatics Association is accredited as a provider of nursing continuing professional development by the American Nurses Credentialing Center’s Commission on Accreditation.
- Approved Contact Hours: 1.5 participant maximum
- Nurse planner for this activity: Jenna Thate, PhD, RN, CNE
- Jenna Thate discloses that she has no financial relationships with ACCME/ANCC-defined ineligible companies.
Upon completion of each video and corresponding evaluation portion of this activity, all learners will be able to download the appropriate credit certificate, or a certificate of participation.
Claim credit no later than January 20, 2028 or within two years of your purchase date, whichever is sooner. No credit will be issued after January 20, 2028.
ACHIPsTM
AMIA Health Informatics Certified ProfessionalsTM (ACHIPsTM) can earn 1 professional development unit (PDU) per contact hour.
ACHIPsTM may use CME/CNE certificates or the ACHIPsTM Recertification Log to report 2024 Symposium sessions attended for ACHIPsTM Recertification.
Claim credit no later than January 20, 2028 or within two years of your purchase date, whichever is sooner. No credit will be issued after January 20, 2028.