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
Presenter, Slides, and Audio
Members: $225 $180*
Nonmembers: $315 $252*
*Includes 20% discount through March 31. Log in to see your discount.
Slides and Audio
Members: $180 $144*
Nonmembers: $255 $204*
*Includes 20% discount through March 31. Log in to see your discount.
Association Between Digital Health Use and Hard of Hearing Status in a National VA Sample: Examining Secure Messaging and Video-based Modalities
Despite elevated hearing loss and tinnitus rates in the Veteran population, little is known about digital health use among hard of hearing Veterans. The current project examined Veterans Health Administration secure messaging and video visit use among hard of hearing patients. Hard of hearing patients showed higher secure messaging (p<.05) and video visit (p<.05) use. These findings support allocating resources to optimize digital health use and experiences among hard of hearing persons.
Learning Outcomes
- Understand variations in video telehealth use and asynchronous secure messaging use between hard of hearing an non-hard of hearing veterans.
Speakers
- Taona Haderlein, PhD, OCHIN, Inc
Reducing the Stigma of Sexual and Reproductive Health Care Through Supportive and Protected Online Communities
In many cultures where discussions and care-seeking for sexual and reproductive health (SRH) are stigmatized, unmarried women often suffer silently, facing risks of sexually transmitted infections and gynecological complications. South Korea exemplifies this challenge, with SRH topics remaining stigmatized, potentially contributing to Korean women’s high incidence rates of cervical cancer. To address this problem, we designed and studied a protected online community for unmarried Korean women with 9 weeks of guided activities relating to SRH. We describe how these activities helped participants reflect on and discuss the typically taboo topics surrounding SRH. Results indicate that the online community effectively supported participants in initiating additional offline conversations about SRH with more people, and even encouraged some women to seek clinical care. This work sheds light on the potential of supportive and protective online communities to facilitate SRH, offering newfound options for supporting women in cultures where such care is stigmatized.
Learning Outcomes
- Understand the importance of creating supportive, protected online spaces for fostering reflection on stigmatized health experiences and connections among people facing stigma.
Speakers
- Hyeyoung Ryu, MS, University of Washington
Designing for Better Pre-hospital Communication: Participatory Design of a Telemedicine Application for Emergency Departments
Pre-hospital communication, which usually refers to the communication process between pre-hospital and hospital providers, is crucial for the effective management of critically injured or ill patients. Despite its importance, persistent challenges such as miscommunication have been significant barriers. Telemedicine systems have been proposed to overcome these challenges, yet existing research primarily focuses on using off-the-shelf systems to evaluate their feasibility and effectiveness of implementation without investigating users' needs and perceptions. To bridge this research gap, our study employed a user-centered design approach to co-create an integrated telemedicine system with emergency care providers to ensure that the system meets the specific needs of care providers and aligns with existing clinical workflows. We present the system design process, the features desired by users to address challenges in pre-hospital communication, and the socio-technical considerations for implementing telemedicine in the dynamic emergency care setting. We conclude the paper by discussing the design implications.
Learning Outcomes
- Understand the user needs and socio-technical considerations for developing a telemedicine system that improves the pre-hospital communication.
Speakers
- Enze Bai, Phd Candidate, Pace University
Supporting Personalized prEgnancy Care wIth Artificial intelligence (SPECIAL): An Acceptability Study of a Personalized Educational Platform
The SPECIAL project aims to support postpartum depression (PPD) prevention through personalized educational. This study assesses the acceptability of the platform among pregnant individuals. Utilizing the Unified Theory of Acceptance of Use of Technology framework, surveys were conducted with 41 participants. Results suggest potential associations between demographic factors and intention to use the platform. The study finding underscores the feasibility of personalized technology for PPD prevention, highlighting the need for further investigation into socio-demographic influences.
Learning Outcomes
- Understand the important factors influencing the technology acceptance for postpartum depression prevention among patients.
Speakers
- Ziwen Zhang, MS, Weill Cornell Medicine
MentalGPT: Harnessing AI for Compassionate Mental Health Support
This paper introduces MentalGPT, fine-tuned large language models (LLMs) designed to function as a compassionate therapist in the realm of mental health support. Through the application of efficient model fine-tuning techniques, we have created LLMs capable of providing comprehensive and empathetic responses, simulating human-like interactions while delivering personalized mental health guidance. Five open-sourced LLMs with a size of 7B parameters were instruction fine-tuned using the Quantized Low-Rank Adaptations (QLoRA) method on a GPT-generated synthetic dataset, a dataset curated from interview transcripts, and a combination of both datasets. The performance of the LLMs was judged and scored by Google Gemini Pro on seven devised metrics targeting important aspects of mental health support. All fine-tuned models outperform their base models and existing models tailored for mental health support. The Mistral-V0.1 7B model finetuned on the interview data scored the highest in all seven metrics. Our work highlights the potential for LLMs to play a valuable role in mental health support by offering accessible and non-judgmental platforms for users to seek guidance and share their concerns. By bridging AI and mental health, this research offers a promising avenue to expand support services and reduce the stigma associated with seeking help.
Learning Outcomes
- Understand the process and benefits of using Quantized Low-Rank Adaptations (QLoRA) for fine-tuning large language models (LLMs) to provide effective mental health support.
- Recognize the importance of combining synthetic and interview data in enhancing the performance of LLMs in therapeutic communication.
- Identify the comprehensive evaluation metrics used to assess the effectiveness of MentalGPT in delivering empathetic and ethical mental health support.
- Appreciate the role of MentalGPT in expanding access to mental health services and reducing the stigma associated with seeking help.
Speakers
- Jia Xu, M.S., University of Pennsylvania
MyPostDischargePal: Preliminary Pilot of an Interoperable App for Adverse Event Surveillance Post-Discharge
We used a user center designed approach to develop, iteratively refine, and pilot a real-time symptom and global health monitoring intervention to mitigate risk of adverse events (AEs) post-hospital discharge. Mixed method analyses of pilot data and participant interviews suggest acceptability among patients and clinicians with modest refinements. Next steps include conducting a randomized controlled trial to evaluate the impact of this type of intervention on post-discharge AEs for patients with multiple chronic conditions.
Learning Outcomes
- Understand the core functionalities most important to patients and clinicians of an interoperable app designed to help patients self-monitor symptoms and overall health.
Speakers
- Madeline Smith, MPH - Master of Public Health, Brigham and Women's Hospital
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.