Women's Health Equity
Investigating disparities in diagnosis, treatment, research representation, clinical recognition, and health outcomes across women's whole-body health.
Women's Health Equity · Biomedical Informatics · Research
Studying the data, evidence, and systems shaping women's health
I'm Ariela Israel, a Health Services Management student, Women's Health Equity Advocate, and aspiring Clinical & Biomedical Informaticist.
I'm building toward a research career at the intersection of women's health equity, clinical and biomedical informatics, health data, and precision medicine.
I'm especially interested in how longitudinal clinical and biomedical data can help investigate diagnostic disparities, improve clinical decision-making, and advance more equitable precision medicine for underserved and underrepresented women.
Pink, precise, evidence-driven, and patient-centered.
Current Direction
Academic Path
Pursuing a BS in Health Services Management at UMGC, alongside certificates in Health Information Management & Data Analytics and Data Analytics.
Advocacy Focus
Advancing more equitable health outcomes for underserved and underrepresented women, with particular interest in racial disparities, diagnostic delay, undertreatment, fragmented care, research gaps, and whole-body women's health.
Research Interest
Clinical and biomedical informatics, longitudinal health data, diagnostic disparities, clinical phenotyping, precision medicine, clinical decision support, and equitable applications of AI in healthcare.
Developing Methods
Research methods, statistics, scientific literature evaluation, health-data analysis, and computational skills in R, Python, and SQL.
Technical Foundation
Software engineering, structured data, databases, systems thinking, documentation, accessibility, testing, and digital product development.
Women's Health EquityBiomedical InformaticsClinical InformaticsHealth DataPrecision MedicineLongitudinal DataResearchClinical Phenotyping
Research Interests
Questions I want to learn to answer
My developing research interests center on how clinical and biomedical data can help identify inequities, improve clinical understanding, and support more precise and equitable care for women, particularly those who have been underserved or underrepresented in healthcare and research.
Longitudinal Health Data
Exploring how patterns across time can reveal disease trajectories, missed opportunities for recognition, and gaps in care.
Clinical Phenotyping
Learning how clinical data can be transformed into meaningful representations of health, disease, symptoms, and patient trajectories.
Clinical & Biomedical Informatics
Studying how health information, biomedical knowledge, computational methods, and technology can support research and better care.
Precision Medicine
Exploring how clinical, genomic, biomarker, environmental, and other data can support more individualized approaches to prevention, diagnosis, and treatment.
Equitable Clinical Intelligence
Examining how decision support, algorithms, and AI can improve care without reproducing disparities already present in healthcare and its data.
An Evolving Research Question
How can clinical and biomedical informatics use longitudinal phenotyping to help shorten diagnostic delay in women's health?
This question reflects an emerging area of interest rather than a completed research study. I'm using it to guide what I learn about research methods, statistics, clinical data, phenotyping, health disparities, and biomedical informatics.
Why this question?
Diagnostic delay can emerge from more than a single clinical encounter. Symptoms, diagnoses, laboratory results, referrals, treatments, and patterns of healthcare use may accumulate across years of a patient's record. I'm interested in whether informatics can help identify those longitudinal patterns and whether doing so can contribute to earlier, more equitable recognition of disease in women.
Explore My Research DirectionSelected Work
Technical foundations for where I'm going next
My software engineering background shaped how I think about systems, structured data, accessibility, documentation, reliability, and the people who depend on technology. These projects represent the technical foundation I'm bringing into clinical and biomedical informatics.
Professional WorkBuilt
AMP Ticket Add-On Flow
A production feature supporting a high-demand digital service environment through user-flow improvement, interface refinement, testing, troubleshooting, and operational support.
ReactTypeScriptTailwind CSS
Professional WorkBuilt
Art of Wine Companion App
A production mobile-first event companion application built to organize event and vendor information, support discovery and wayfinding, and provide a reusable foundation for future event experiences.
Next.jsTypeScriptPrismaPostgreSQLTailwind CSS
Educational ProjectBuilt
Periodic Tables Reservation System
A completed educational full-stack application demonstrating relational data modeling, validated CRUD workflows, reservation and table-state management, and operational system design.
ReactExpress.jsPostgreSQLKnex.jsJavaScriptCSS
The Informatics Diary
Learning clinical & biomedical informatics in public
The Informatics Diary is my public learning journal documenting what I'm studying, reading, questioning, analyzing, and eventually researching as I develop in clinical and biomedical informatics. I write at the intersection of women's health equity, health data, research, and precision medicine, translating what I learn while remaining transparent about what I'm still learning.
The advocacy and research fuel the technology, not the other way around.
My interest in informatics begins with the problems I care about: inequities in women's health, gaps in diagnosis and clinical recognition, underrepresentation in research and data, and the need for evidence that better reflects the women medicine serves.
Read The Informatics Diary