David C. Miller, MD, MPH
Dr. Miller is a Professor of Urology at the University of Michigan. He is a fellowship-trained urological oncologist with a clinical practice devoted to the care of patients with prostate, kidney, bladder and other urological cancers. Dr. Miller’s research interests involve implementation of physician-led quality improvement activities.
James E. Montie, MD
Dr. Montie is a Professor and former Chair of the Department of Urology at the University of Michigan. He is an internationally-recognized authority in the field of urological oncology and also one of the pioneers of urological health services research.
Khurshid Ghani, MD
Dr. Ghani is an Assistant Professor of Urology at the University of Michigan. He is a fellowship-trained robotic surgeon and endourologist. In 2014 Dr. Ghani was selected for the University of Michigan Patient Safety and Quality Leadership (PASQUAL) Scholars Program. As Co-Director of MUSIC, Dr. Ghani plays a leadership role in all aspects of the collaborative’s operations and quality improvement activities.
Susan M. Linsell, BS, MHSA
Susan Linsell is a Senior Project Manager in the Department of Urology at the University of Michigan with a background in both Industrial Engineering and Health Services Administration, and is Lean Six Sigma Black Belt certified. Ms. Linsell serves as the administrative contact for participating practices and directs data submission and collaborative meetings. She also organizes and oversees the external validation site-visits, provides administrative management at the Coordinating Center, and helps to spearhead quality improvement efforts at the individual practices.
Tae Kim, BS
Associate Project Manager/Patient Outcomes Coordinator
Tae Kim is the MUSIC Associate Project Manager and Patient Outcomes Coordinator. Ms. Kim helps in the management of day-to-day operations and monitoring processes for quality assurance. She also spearheads several MUSIC initiatives including the Patient Reported Outcomes program (PRO), Notable Outcomes and Trackable Events after Surgery (NOTES), Reducing Operative Complications from Kidney Stones (ROCKS), and small renal mass (KIDNEY).
Anna Johnson, MS
Anna Johnson is the MUSIC Database Manager. In this role, Anna provides extensive data management for the collaborative (i.e. monitors the database for data quality, etc.) as well as assists with training, testing, and local data abstraction. She also leads the quality site audits, is intricately involved with the collaborative’s QI activities, and serves as the lead for the Genomics in Michigan Impacting Observation or Radiation (G-MINOR) project aimed at determining the impact of a new test and the role it plays in the treatment decisions for men who had a radical prostatectomy.
Stephanie Ferrante, BS
Outreach Manager/Project Coordinator
Stephanie Ferrante is the Outreach Manager for MUSIC. In her role, she is in responsible of managing the social media platform and branding the MUSIC name. She also serves as a contact for all the sites and their personnel, provides regulatory oversight and guidance for the participating sites, and helps to lead and implement quality improvement initiatives, among other responsibilities.
Ji Qi, MS
Ji Qi is a statistician in the Department of Urology at the University of Michigan, earning his Master in Statistics degree from UM. Mr. Qi provides analytic expertise for the collaborative through the development and review of statistical analyses. Mr. Qi’s proficiency with data serves as instrumental in the creation and evaluation of reports for the collaborative-wide meetings, as well as on a day-to-day basis.
Rabia Siddiqui is the Database Coordinator for MUSIC. She spearheads local data abstraction and thus provides keen insight in the development and enhancement of the registry. She also serves as a primary point of contact for data abstraction related inquiries and assists with training and testing.
Jun Ye, MS
Jun Ye is a biostatistician in the Department of Urology at the University of Michigan. Mr. Ye provides statistical oversight for the collaborative, including guidance on measurement methodology, and evaluation of reports based on collaborative data.