Enabling Data Driven Research

Enabling Biomedical Data Driven Research

Bringing you common infrastructure, and consultation services

Research IT is responsible for several of Stanford's centralized biomedical infrastructure like Stanford's Clinical Data Warehouse (aka STARR, fka STRIDE) and research data management platform like REDCap. Our team designs, develops and maintains these systems. Our centralized infrasructure efforts are subsidized and hence governed by SoM administrative leadership.

Aside from infrastructure components, Research IT offers a confidential consultion service to Stanford University biomedical researchers on topics related to technology integration, research data capture, compliance and management, data privacy & security issues. Consulting services often lead to longer term partnership. These partnerships can result in custom solutions or reusable infrastucture. Several of Stanford infrastructure components have been fully funded by faculty projects (e.g. CHOIR).  

2018 Research IT news

Enabling Stanford mission

A gold standard for sleep analytics

Alliance Sleep Questionnaire for Stanford Technology Analytics and Genomics in Sleep

Alliance Sleep Questionnaire (ASQ) Stanford Technology Analytics and Genomics in Sleep (STAGES) enrolled their first patient at Stanford Sleep Clinic in April 2018. Remaining 10 sites will go live soon. This is a significant expansion to the existing ASQ program. ASQ has been engineered by Sanjay Malunjkar at Research IT in collaboration with Eileen Leary, Sr. Manager for Clinical Research at the Sleep Clinic. ASQ first went live in Stanford Sleep Clinic in 2011 and has since enrolled 8,000 patients. The STAGES program will expand ASQ to 30,000 patients.

Here are some additional details on the STAGES research program from Eileen. The STAGES study is funded by the Klarman Family Foundation and will collect multi-modal data on 30,000 patients across 11 different sleep clinic sites (across USA and Canada). Sleep disorders and sleep dysregulation impact over 100 million Americans, causing enormous medical consequences including cardiovascular (arrhythmia, hypertension, stroke), metabolic (diabetes, obesity) and psychiatric (depression, irritability, addictive behaviors), to name only a few. Sleepiness costs millions due to workforce errors and accidents. Although the global market for just hypnotic products will reach $76.7 billion by 2019, our fundamental understanding of sleep remains a biological “black box”. This curtails our ability to identify etiologies and thus treat sleep disorders effectively. To address this unmet need, STAGES team proposes to conduct large-scale genomics studies, sleep phenotyping and automated PSG data analysis. The information will be crucial for our understanding of the genetic architecture of sleep and to improve detection, treatment and prevention of sleep disorders. To maximize research potential, all tools and data will be made available to the research community. Specifically, Stanford is responsible for collecting data for 30,000 individuals from multiple sites:

  1. On-line sleep/medical history questionnaire (the ASQ, a branching logic questionnaire developed by Harvard University, University of Pennsylvania, University of Wisconsin-Madison, St Luke's Hospital, and Stanford University)
  2. In lab nocturnal Polysomnography data (one night PSG)
  3. Computerized Neurocognitive Battery (U Penn CNB)
  4. Actigraphy over 2-4 weeks (Amazfit Arc)
  5. 3-D craniofacial images.
  6. Stored biological samples (DNA, plasma, serum) for future biomarker research
  7. Genome Wide Association Study (GWAS) data

This study will be a landmark that will constitute a gold standard for the analytics of sleep. In collaboration with Prometheus Research, the STAGES program has built a comprehensive data platform to allow for easy data collection and management. 

Point of care clinical trials

Patient-centered opioid tapering with active behavioral treatment

Research IT is supporting a prestigious new $8.8M PCORI grant, led by Beth Darnall, PhD Clinical Professor of Anesthesiology, that will use a point-of-care clinical trial in patient-centered opioid tapering with active behavioral treatment. The study will include ~1000 participants from Stanford Pain Clinic, Stanford Primary Care, Intermountain Health Primary Care, Stieg Pain Clinic and Phoenix VA Primary Care.  

CHOIR team (Teresa Pacht, David Tom, ex-team member Randy Strauss and Garrick Olson), working in close collaboration with Prof Sean Mackey, MD, PhD, Chief of the Division of Pain Medicine, delivered the point-of-care clinical trial feature on the CHOIR platform. This method was developed by Stanford University biostatistician Philip Lavori, PhD, and researchers from VA Boston Healthcare System in 2011 as an alternative to expensive, lengthy, double-blind, placebo-controlled clinical trials to compare drugs and procedures that are already in regular use. A layperson summary of the method can be found here and the publication is here.

Quick Links

To common tools, and infrastructure services