The Problem

Real-world data (RWD), such as electronic health records (EHR), hold immense potential to accelerate medical discovery and product development. Yet, technical complexities, prohibitive costs, and a shortage of specialized talents prevent researchers from harnessing its full power.

Collaborative Research Engine

We build a collaborative space where clinical scientists, data scientists, and data providers work together on selected, high-quality research manuscripts initiated from our academic partners.

We foster shared interests and build connections between industry and academia.

We offer hands-on training for graduate students, medical fellows, and junior investigators on designing and conducting real-world data studies.

We develop algorithms and tools for EHR data standardization, quality assessment, and analytics.

Industry-Academic Partnership

Future Leadership Fellowship

Methodological Innovation Lab

Our Solutions

Academic Partners

Data Participants

Sponsorship

Our Data

Freely Accessible to Researchers

Analysis Ready EHR Data Cohort

• Alzheimer's disease large cohort: ~100K incident Alzheimer's disease patients from 2018 to 2025.

• Mild cognitive impairment (MCI) cohort: ~80K incident MCI patients from 2018 to 2025.

• Pancreatic cancer cohort: ~45K incident pancreatic cancer patients from 2019 to 2022.

• Breast cancer cohort: ~70K incident breast cancer female patients from 2020 to 2021.

• Ocular event cohort: ~45K patients with incident ischemic ocular events.

General Data

• U.S. national structured EHR data: 120 - 150 million patient lives

  • Demographics and Vital Statistics

  • Encounter (outpatient, inpatient, emergency etc.)

  • Condition / Procedure

  • Vital Sign and Labs

  • Medication Prescription and Dispense

  • Immunology

  • Geographic and Socioeconomic Information

  • Notes and Imaging (not included for free access)

• Open claims data linked to EHR

Our Work

For Researchers

We evaluate manuscript proposals from researchers on collaboration and use of our data. We will offer data as well as study design and analytics support.

For Corporate Sponsors

Sponsors can submit research topics of their interests, and we will select the right team to conduct the research.

For Individuals

Individuals such as clinicians and patients are welcome to submit research questions, and we will select the ones with the most interests to answer.

EHR Data Quality Framework

There are concerns about the reliability and the quality of EHR data for use in clinical research To address this challenge, we propose a quantitative, score-based QA framework for categorical and continuous EHR data. We will present demo results for sex and weight in this poster

Past and Ongoing Projects

Pancreatic Cancer Metastasis

Liver metastasis is a frequent and serious complication of pancreatic cancer, contributing to its high mortality rate. Identifying risk factors and understanding the timing of liver metastasis may improve early detection and support more effective treatment planning.

Stroke After Ocular Event

An ocular event is often followed by a stroke. This research describes timing of a stroke after an ocular event and identifies risk factors for developing stroke among patients who had an ocular event.

Drug Efficacy in MCI-to-AD Progression

We assessed associations between medication use and MCI-to-AD progression, finding that many drugs appeared significant, highlighting the need for more rigorous, confounding-aware analyses to validate true therapeutic potential.

Anti-Psychosis Drug Effect on Mortality of Alzheimer's Disease

The development of Alzheimer can be fatal as senior patients are susceptible to other comorbidities. Anti-psychosis drugs are sometimes used to treat AD as a way to help improve cognition. We studied how use of anti-psychosis drugs impacts mortality of patients with Alzheimer's disease.

Metformin Prescription Pattern in Prediabetes Patients

We studied the pattern of prescription, discontinuation, and reinitiation of metformin among prediabetes patients.