Cohort Development oversees the recruitment, engagement, and retention of participants and data. This includes continuing the work of the Michigan Genomics Initiative (MGI), which currently includes data from more than 50,000 patients and encompasses other projects that collect and manage patient data that can advance precision health initiatives. This group aims to develop a large, diverse, and broadly representative cohort that is centrally managed with consistent data elements, consent, and processes to enable rich research and implementation opportunities. Some 12,000 additional participants per year will be added to this cohort to expand a rich data repository that supports discovery and innovative care.
Data Analytics & IT will provide the support and infrastructure for sophisticated and timely data access and analysis to enhance precision health research and implementation. With responsibility for deploying an effective compute and storage infrastructure, as well as providing tools for data cleaning/retrieval/management, analysis/visualization, and analytics reporting, this group is tasked with creating and delivering responsive systems that will fuel precision health research.
With a growing need for an informed research and practitioner community, Education & Training will connect trainees with opportunities to advance in a career in precision health research, as well as provide training opportunities for new and established clinicians to gain a deep understanding of how to implement precision health into effective patient care. This group will also support development of university-wide courses to incorporate precision health principles into medical and health education.
Identifying and defining practical processes for precision health to be implemented at the patient level will be the main focus of Health Implementation. This group will be focused on closing the gap between discovery and implementation, enabling improved patient care by working closely with health systems, and developing ways to ensure that newly discovered findings can be put into practice and deliver on the promise of Precision Health.
Precision Health aims to define characteristics for opioid dependence and overdose, to help inform recommendations for naloxone (opioid overdose reversal agent) prescribing and reimbursement; to derive an app for outcomes assessment of a cohort of perioperative patients; and to develop, test, and implement novel machine learning algorithms and visualizations for opioid dependence and overdose in clinical environments. This use case has the goal of reducing the number of excess opioids prescribed by 75%.
The overall goal of this project is to reduce the burden of depression by two means: first, by increasing capacity in the mental health care system through expanding use of mobile technology–delivered interventions, and second, by accelerating recovery from mental illness by better matching pharmacological, psychological, and mobile-based treatments to patients. Researchers will use machine learning to identify key predictors of treatment response from mobile technology, genomic, and environmental data collected from patients.
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