Our Advanced Analytics & Innovation Group at UCSF Health takes a critical look at the way our electronic health record systems drive clinical operations, and researches new ways to transform data into actionable insights for UCSF Health leadership, healthcare providers, and operational leaders. We help improve efficiency, advance patient and staff safety, decrease costs, and bolster outcomes.

Our group's expertise spans data science, machine learning, business, nursing informatics, and medical informatics. Our tools include Microsoft SQL Server, PostgreSQL, Python, R, and Tableau for data analysis and modeling and GitHub, Trello, Jenkins, and Slack for DevOps and project management. 

Project Highlights

Data Science and Machine Learning

  • Measuring the successes of an enterprise-wide delirium prevention and treatment program.
  • Improve access to care and schedule utilization in clinics and procedural areas by predicting patients who are at high risk of no-show, enabling targeted outreach and intervention.
  • Conduct data analysis to identify barriers to discharge and provide analytics solutions to improve patient throughput and length-of-stay.
  • Quantify the impact of telehealth services on health resource utilization and clinical outcomes

 

 

 

Process Improvement 

  • Standardization of opioid metrics for the enterprise to facilitate measurement of UCSF Health's impact on the opioid epidemic
  • Using data and analytics to automate manual compliance audits of high-risk medication administration

Clinical Project Consultation and Development

  • Translation of clinical data requirements into analytic solutions that enable clinicians to improve patient care.
  • Translating and aligning visions of clinical content improvement from diverse stakeholders into usable tools and effective processes in the electronic health record.
  • Gathering and prioritizing requirements for real-time dashboards in the outpatient setting.

Photo: Steven Chan/UCSF

Photo: Noah Berger

 

 

People

Sara Murray, MD MAS, Associate Chief Medical Information Officer, Inpatient Care and Data Science & Associate Professor, Hospital Medicine

Joanne Yim, PhD, Data Scientist

Rhiannon Croci, BSN RN-BC, Clinical Informatics Specialist

Robert Schechtman, PhD, Strategic Development Lead

Hossein Soleimani, PhD, Data Scientist