Welcome to Prasanna's Homepage

Prasanna Desikan
 Director, Health Risk Analytics
 BaseHealth Inc
 111 W. Evelyn Ave
 Sunnyvale, CA 94086



EDUCATION
Ph.D., Computer Science, the University of Minnesota - Twin Cities (UMN), USA.
M.S, Computer Science, the University of Minnesota - Twin Cities (UMN), USA.
M.H.A (Masters in Healthcare Administration, Executive Program), the University of Minnesota - Twin Cities (UMN), USA.


SHORT BIOGRAPHY
Prasanna Desikan is currently a Director of Health Risk Analytics at Base Health. Prior to this he was a Data Scientist at Blueshield of California leading development of advanced analytical solutions for a variety of business problems that span pricing (trends in member churning), health care quality (predictive models), pharmacy analytics (network analytics for opioid overdose). Before moving on to Blueshield of California he was a lead investigator for Data mining initiatives at Division of Applied Research, Allina Health. His areas of expertise include applying data mining and social network analysis techniques on healthcare data for improved care delivery, financial effectiveness and population health. Examples of typical solutions developed include predicting Potentially Preventable Event, Predicting Risk of Readmissions, Predicting High Cost Catastrophic Claims, Opioid Overutilization Patterns. Many of his works have also resulted in peer-reviewed publications. Before Allina, Prasanna has worked in the medical device industry at Boston Scientific on their advanced remote patient monitoring system. Prior to that, he worked as a Senior Researcher for Infobionics Inc, a start-up based in Eden Prairie, Minn., where he was instrumental in building innovative software and securing grants.

Prasanna was an invited panelist at National Forum on Data and Analytics in Healthcare, 2014 held in DC. He has been an invited speaker forums on many national and international Healthcare Business Intelligence, Real World Evidence and Predictive Analytics forums.

He has been the Industry Track Chair at IEEE International Conference on Healthcare Informatics(ICHI) in 2015,2016,2017. He was the Tutorial Chair at ICHI 2014. He has co-organized a tutorial on Data Mining for Healthcare Management at SDM 2011, PAKDD 2011, and Health Informatics, Imaging and Systems Biology Conference (HISB), 2011. He has been a co-organizer for workshops on Data mining for healthcare management at ICHI 2013 PAKDD (2010 to 2013). He received his Ph.D and M.S in Computer Science and Masters in Healthcare Administration (M.H.A) from University of Minnesota, Twin Cities, USA.


MENTION IN MEDIA


RECENT PROFESSIONAL ACTIVITIES
Industry Track Chair, IEEE International Conference on Healthcare Informatics(ICHI) 2015, 2016, 2017.
Doctoral Consortium Panelist IEEE International Conference on Healthcare Informatics(ICHI) 2016.
Tutorial Chair, IEEE International Conference on Healthcare Informatics(ICHI) 2014
Co-organizer, Workshop on Data Mining For Healthcare Management: PAKDD ( 2010 , 2011 , 2012 , 2013 ) || ICHI ( 2013 )
Co-organizer, Workshop on Big Data Analytics for Healthcare: Healthcare BI Summit 2013
Tutorial presentation, Tutorial on Data Mining For Healthcare Management: SDM 2011 || PAKDD 2011


INVITED TALKS, WORKSHOPS AND PANELS
  • "Network Analytics for Narcotic Safety Initiatives", 2017 Healthcare Analytics Lean In Conference (HALICON), October 06, 2017.
  • "Building successful big data initiatives in applied settings: Challenges and Approaches", 2015 Healthcare Analytics Lean In Conference (HALICON), October 23, 2015.
  • "Big Data Analytics for Improved Care Management", Academic Center Health Informatics Grand Rounds,Institute of Health Informatics, University of Minnesota, April 16th, 2015.
  • "Forecasting High Value Clinical Guidance Systems in 2024", Subject Matter Expert, Stanford Clinical Excellence Research Center (CERC), July 17-18, 2014.
  • "Analytic Innovations to Manage Chronic Disease Populations", Panelist, eHealth Initiative's Third Annual National Forum on Data and Analytics in Healthcare, May 21-22, 2014.
  • "Enhanced models for early identification of preventable admissions and improved care management", 2nd Real World Evidence and Data Partnerships Summit, Bethseda, MD, October 2013.
  • "Predictive modeling and social network analysis for healthcare providers", The Life Science Lean-In: Analytics & Big Data in Healthcare & Life Science, MinneAnalytics, Eden Prairie, MN, October 2013.
  • "Big Data Analytics for Healthcare", Workshop Co-Organizer (with Prof. Jaideep Srivastava), 2013 Healthcare Business Intelligence Summit, Minneapolis, MN, September, 2013.
  • "Big Data Analytics for Healthcare Management", (Co-Speaker with Prof. Jaideep Srivastava), 2013 Healthcare Business Intelligence Summit, Minneapolis, MN, September, 2012.
  • "Predictive and Social Analytics for Healthcare Providers", Predictive & Social Media Analytics and the world of Big Data, Medtronic, MN, May 21, 2012.
  • "Link Analysis for Web Mining",Computer Science Colloquium, Department of Mathematics, Statistics and Computer Science, University of Wisconsin - Stout, December 2005.
  • "Link Analysis for Evolving Graphs,” Invited talk at International Institute of Information Technology, Hyderabad, India, December 2004.