Description

An onsite recording of this session will be included in the Symposium OnDemand offering. 

Association Between Digital Health Use and Hard of Hearing Status in a National VA Sample: Examining Secure Messaging and Video-based Modalities

Presentation Time: 03:30 PM - 03:45 PM

Abstract Keywords: Telemedicine, Disability, Accessibility, and Human Function, Patient Engagement and Preferences
Primary Track: Applications
Programmatic Theme: Consumer Health Informatics

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.

Speaker(s):
Taona Haderlein, PhD
OCHIN, Inc

Author(s):
Taona Haderlein, PhD - OCHIN, Inc; Darren Lov, MS - VA Greater Los Angeles Healthcare System; Joseph Goulet, PhD, MS - VA Connecticut/Yale University; Cynthia Brandt, MD, MPH - Yale University, School of Medicine; Bevanne Bean-Mayberry, MD - VHA HSRD Center for the Study of Healthcare Innovation, Implementation, & Policy;

Reducing the Stigma of Sexual and Reproductive Health Care Through Supportive and Protected Online Communities

Presentation Time: 03:45 PM - 04:00 PM

Abstract Keywords: Human-computer Interaction, Social Media and Connected Health, Personal Health Informatics, Qualitative Methods
Primary Track: Foundations
Programmatic Theme: Consumer Health Informatics

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.

Speaker(s):
Hyeyoung Ryu, MS
University of Washington

Author(s):

Designing for Better Pre-hospital Communication: Participatory Design of a Telemedicine Application for Emergency Departments

Presentation Time: 04:00 PM - 04:15 PM

Abstract Keywords: Telemedicine, Human-computer Interaction, User-centered Design Methods, Clinical Decision Support, Participatory Approach/Science, Critical Care
Primary Track: Applications
Programmatic Theme: Clinical Informatics

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.

Speaker(s):
Enze Bai, Phd Dandidate
Pace University

Author(s):
Enze Bai, Phd Dandidate - Pace University; Zhan Zhang, PhD; Yincao Xu, MS - Pace University; Kathleen Adelgais, MD - University of Colorado; Mustafa Ozkaynak, PhD - University of Colorado-Denver | Anschutz Medical Campus;

Supporting Personalized prEgnancy Care wIth Artificial intelligence (SPECIAL): An Acceptability Study of a Personalized Educational Platform

Presentation Time: 04:15 PM - 04:30 PM

Abstract Keywords: Evaluation, Surveys and Needs Analysis, Patient Engagement and Preferences
Primary Track: Applications
Programmatic Theme: Consumer Health Informatics

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.

Speaker(s):
Ziwen Zhang, MS
Weill Cornell Medicine

Author(s):
Rochelle Joly, MD - Weill Cornell medicine; Yiye Zhang, PhD - Weill Cornell Medicine;

MentalGPT: Harnessing AI for Compassionate Mental Health Support

Presentation Time: 04:30 PM - 04:45 PM

Abstract Keywords: Large Language Models (LLMs), Self-care/Management/Monitoring, Precision Medicine, Natural Language Processing, Deep Learning, Global Health, Machine Learning, Delivering Health Information and Knowledge to the Public
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics

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.

Speaker(s):
Jia Xu, M.S.
University of Pennsylvania

Author(s):
Jia Xu, M.S. - University of Pennsylvania; Tianyi Wei, B.S. - University of Pennsylvania; Bojian Hou, PhD - University of Pennsylvania; Patryk Orzechowski, PhD - University of Pennsylvania; Shu Yang; George Demiris, PhD - University of Pennsylvania; Li Shen, Ph.D. - University of Pennsylvania;

MyPostDischargePal: Preliminary Pilot of an Interoperable App for Adverse Event Surveillance Post-Discharge

Presentation Time: 04:45 PM - 05:00 PM

Abstract Keywords: Healthcare Quality, Informatics Implementation, Mobile Health, Patient Safety, Transitions of Care, User-centered Design Methods
Primary Track: Applications
Programmatic Theme: Clinical Informatics

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.

Speaker(s):
Madeline Smith, MPH - Master of Public Health
Brigham and Women's Hospital

Author(s):