OTO Clinomics

Establishing a precision health and outcomes program in otolaryngology at the Medical College of Wisconsin

Full Project Name:OTO Clinomics: A precision health and outcomes program in otolaryngologyPrincipal Investigator:David R. Friedland, MD, PhD, Otolaryngology and Communication ScienceCo-Investigator:John Rhee, MD, MPH, Otolaryngology and Communication ScienceAward Amount:1,200,000
Award Date
Project Duration:66 months

Project Description Narrative:

Otolaryngologic disorders are among the most prevalent of conditions affecting health in Wisconsin and the world. These common and impactful conditions — including neuro-degenerative conditions (hearing loss, balance disorders, cognition), cancer (head and neck cancer, skull base tumors), and inflammatory diseases (otitis media, sinusitis, tonsillitis, reflux, and laryngitis) — have many causes, treatment options, and responses to intervention. Yet, there are significant gaps in our understanding of individualized and personalized determinants of disease progression and response to treatment.

Through this award, the Medical College of Wisconsin Department of Otolarygology and Communication Science will establish a new program to bring personalized medicine to the field of otolaryngology, establishing a system-wide platform for collecting and analyzing demographic and outcomes data, as well as focused investigations into key disorders with high prevalence in Wisconsin to improve health care delivery in the state.

Project Updates:

  • Successfully recruited a Program Director to lead project efforts
  • Established project database strategies and began analyzing data
  • Submitted one manuscript for publication on social deteminants of health in chronic siunitis
  • Implemented a process to receive submissions for additional areas of study and data collection within the department and received 13 requests
  • Strengthened collaborations with partners at UW-Milwaukee and the MCW Clinical and Translational Science Institute to obtain access to several data warehouses for further integration and analysis

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