Sri Vijay Bharat Peddi

Manager Decision Support & Data Analytics, Information Management & Technology

Holland Bloorview Kids Rehabilitation Hospital

Sri Vijay brings extensive experience with data analytics and healthcare decision support and is currently serving as the Manager of Decision Support and Data Analytics at Holland Bloorview Kids Rehabilitation Hospital in Toronto, Canada. Sri Vijay has worked with leading technology companies like IBM and brings with him healthcare analytics expertise having worked at both rehab and acute care facilities like North York General Hospital and North Bay Regional Health Centre. Among many accomplishments, he is known for his innovative work in advancing analytics and fostering a data driven culture in hospitals to provide excellent patient care.

Sri Vijay holds a Masters of Applied Sciences degree in Electrical and Computer Science from University of Ottawa, published several research publications with over 150 citations, presented in leading international healthcare conferences including: HIMSS Orlando, IBM Think San Francisco, IBM Data & AI Miami, InnovationEx Toronto, etc. and was featured in IBM Analytics series of profile leaders transforming the future of business analytics in organizations (IBM Article Link).

All Sessions by Sri Vijay Bharat Peddi

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Day 1: Dec 2, 2020

Day 2: Dec 3, 2020

11:30 am

11:30 am


Nursing Workforce Analytical Solution to Optimize Health Human Resources (HHR)

Currently our healthcare system is feeling the impacts of staffing challenges, specifically in the Nursing workforce. The Decision Support & Data Analytics (DS&DA) team collaborated with Nursing leadership and multiple internal stakeholders to develop a first of its kind nursing performance measurement framework and the analytical dashboard solution that empowers operational managers and nursing teams to review nursing key performance indicators (KPIs), analyze trends with the COVID-19 waves, identify correlations between metrics (e.g. staffing transfers from full-time positions to part-time positions and vice-versa that were triggered by % Overtime and % Sick time measures) and review staffing situations at department level, role type level and age demographics. Join us and explore:

  • The challenge in measuring and reporting on Nursing KPIs is that there are no well-established KPIs that provide good benchmarking standards for measuring their performance
  • Review a newly developed nursing performance measurement framework for nursing specific metrics that takes into account the Ontario Health’s Quadruple Aim framework and aligns metrics to improved patient outcomes, improved provider experience and HHR metrics with lower cost to care.
  • Analyzing and linking Nursing HHR metrics like % Overtime, % Sick time, and staffing availability to quality metrics and patient care metrics and get a holistic snapshot at the departmental level and how these metrics roll-up organization wide.
  • This collaborative between Decision Support & Data Analytics (DS&DA) and Nursing leadership demonstrates that adopting an insight and data-driven approach and infusing analytics into day-to-day operations produces innovative solutions and improves workflow efficiencies.