Differences in Healthcare Utilization and Health Status by Age and Sex among Patients with Heart Failure Receiving a Facilitated Telehealth Visit via a Mobile Integrated Health Program

Presentation Time: 03:30 PM - 03:42 PM

Abstract Keywords: Telemedicine, Transitions of Care, Mobile Health
Primary Track: Applications
Programmatic Theme: Clinical Informatics

Heart failure (HF) remains a leading cause of hospital readmissions and reduced quality of life. An analysis of patients who received a paramedic-facilitated telehealth visit via Mobile Integrated Health (MIH) revealed significant subgroup differences. Younger patients (<70 years) had greater improvements in health status, while women had lower 30-day readmission rates compared to Transitions of Care Coordination (TOCC). Findings underscore the potential of tailored digital health interventions to enhance outcomes in vulnerable populations.

Speaker:
Ruth Masterson Creber, PhD, MSc, RN
Columbia University

Authors:
Ruth Masterson Creber, PhD, MSc, RN - Columbia University; Leah Shafran Topaz - Weill Cornell Medicine; Melani Ellison; Jacky Choi, MPH - Weill Cornell Medicine; Yihong Zhao, PhD - Columbia University School of Nursing; Meghan Reading Turchioe, PhD, MPH, RN - Columbia University School of Nursing; Brock Daniels, MD, MPH - Weill Cornell Medicine;

---

Privacy Preserving Record Linkage versus an EHR Patient Matching Module for Identifying Patients Shared Between Neighboring Academic Health Centers

Presentation Time: 03:42 PM - 03:54 PM

Abstract Keywords: Interoperability and Health Information Exchange, Real-World Evidence Generation, Data Standards
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics

We compared the performance of Datavant’s Privacy-Preserving Record Linkage (PPRL) tool, at three match thresholds, with Epic’s Care Everywhere (CE) module in identifying shared patients between two nearby health systems. Among 849157 patients matched using both systems, Datavant at the “balanced” threshold achieved higher recall (93%) than CE did (62%), with similar precision (99.4% vs. 99.6%). Our findings highlight the importance of selecting a PPRL threshold that optimizes precision vs. recall for the intended task.

Speaker:
Douglas Bell, MD. PhD
University of California, Los Angeles

Authors:
Douglas Bell, MD. PhD - University of California, Los Angeles; Tawny Saleh, MD - UCLA; Fernando Sanz Vidorreta - UCLA-Health; Joshua Pevnick, MD, MSHS - Josh Pevnick; Robert Jenders, MD, MS, FACP, FACMI, FHL7, FAMIA - Charles Drew University/UCLA; Spencer SooHoo, PhD - Cedars-Sinai Health Systems;

---

Mitigating Stigma and Fostering Support: Improving AI-Generated Counterspeech for Microaggressions

Presentation Time: 03:54 PM - 04:06 PM

Abstract Keywords: Qualitative Methods, Diversity, Equity, Inclusion, and Accessibility, Personal Health Informatics, Artificial Intelligence
Primary Track: Foundations
Programmatic Theme: Consumer Health Informatics

In societies where sexual and reproductive health (SRH) is stigmatized, many women hesitate to seek care, increasing health risks. In South Korea, cultural norms associating promiscuity with SRH care in unmarried women further discourage them from accessing care. While online spaces offer support, they also perpetuate stigma through microaggressions. To mitigate the harms of microaggressions, counterspeech provides a promising approach. This study examines counterspeech by generative artificial intelligence(AI), analyzes the strategies AI tools claim to use, evaluates their alignment with recommended counterspeech strategies, and identifies potential harms. Our findings reveal critical limitations: failures to recognize implicit biases and challenge relevant stereotypes, placing the burden of addressing microaggressions onto those who experience them, and offering only superficial empathy. We propose a new process for AI to foster more effective and culturally sensitive counterspeech. With these improvements, AI could help create safer, more inclusive spaces for people seeking support for stigmatized healthcare.

Speaker:
Hyeyoung Ryu, MS
University of Washington

Authors:
Hyeyoung Ryu, MS - University of Washington; Sungha Kang, Master of Science - University of Washington; Wanda Pratt, PhD, FACMI - University of Washington;

---

Dying in Darkness: Deviations from Data Sharing Ethics in the US Public Health System and the Impact on American Indian and Alaska Native Communities

Presentation Time: 04:06 PM - 04:18 PM

Abstract Keywords: Legal, Ethical, Social and Regulatory Issues, Public Health, Data Sharing, Privacy and Security, Governance, Racial disparities, Population Health
Primary Track: Policy
Programmatic Theme: Public Health Informatics

This presentation critically examines the ethical implications of current impediments to data sharing between federal, state, and Tribal public health partners. Applying a public health ethics lens, we find substantial and widespread deviations from public health ethical obligations and describe how several common privacy protections (e.g., deidentification, suppression) disproportionally harm Tribal communities and their members. Good governance—supported by transparent data practices and a social license—is crucial for ethical public health sharing and use.

Speaker:
Cason Schmit, JD.
Texas A&M University

Author:
Cason Schmit, JD. - Texas A&M University;

---

Who Are We Excluding? A Case Study on Disparities in Familial Cancer Screening Algorithms using Electronic Health Record Data

Presentation Time: 04:18 PM - 04:30 PM

Abstract Keywords: Fairness and Elimination of Bias, Clinical Decision Support, Health Equity
Primary Track: Applications
Programmatic Theme: Clinical Informatics

Disparities in family cancer (FH) history documentation within electronic health records (EHRs) may contribute to inequities in genetic testing when electronic algorithms are used to identify candidates for testing. This study examines how demographic, social, and healthcare factors impact documentation completeness and testing eligibility. Analysis of adult patients at University of Utah Health (UUH) suggests marginalized groups and those with lower healthcare utilization are less likely to have complete family history records. These gaps may limit access to genetic testing. Targeted interventions are needed to improve data completeness and ensure equitable screening.

Speaker:
Polina Kukhareva, PhD, MPH, FAMIA
University of Utah

Authors:
Polina Kukhareva, PhD, MPH, FAMIA - University of Utah; Richard Bradshaw, MS - University of Utah Health Sciences; Jiantao Bian, PhD - Biomedical Informatics Department, University of Utah; Chelsey Schlechter, MPH, PhD - University of Utah and Huntsman Cancer Institute; Kimberly Kaphingst, PhD - University of Utah; Caitlin Allen, PhD, MPH - MUSC; Muhammad Danyal Ahsan, MD - Weill Cornell University; Ravi Sharaf, MD, MS - Weill Cornell University; Kensaku Kawamoto, MD, PhD, MHS - University of Utah; Guilherme Del Fiol, MD, PhD - University of Utah;

---

Assessing the impact of racial disparities on 30-day emergency department visits due to hysterectomy complications: A multi-state retrospective cohort study

Presentation Time: 04:30 PM - 04:42 PM

Abstract Keywords: Racial Disparities, Health Equity, Population Health, Fairness and elimination of bias
Primary Track: Applications
Programmatic Theme: Clinical Informatics

Racial disparities in post-surgical outcomes remain a critical issue. This retrospective cohort study analyzed the Healthcare Cost and Utilization Project data from 2017 to 2021 to assess racial disparities in 30-day ED visits due to post-hysterectomy complications. Black women had a 22% higher risk than White women, highlighting persistent inequities in postoperative care. Our results highlight informatics challenges that warrant attention, particularly the variability in data quality across racial groups.

Speaker:
Minqi Xiong, M.Sc.
Johns Hopkins University School of Medicine

Authors:
Hadi Kharrazi, MD, PhD, FAMIA, FACMI - Johns Hopkins University; Yiheng WANG, master - Johns Hopkins University;

---