How Kaiser Permanente uses Jira Software for Analytic Data Management
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Kaiser Permanente is enhancing its analytic data management by utilizing Jira software to streamline the analytics request process, improve collaboration among its numerous decentralized analytic groups, and reduce redundancy. The goal is to develop an integrated knowledge management ecosystem, allowing users to easily access and manage requests while identifying analytic experts within the organization. Future steps involve refining workflows, expanding the analyst directory, and further customizing Jira to meet diverse team needs.
How Kaiser Permanente uses Jira Software for Analytic Data Management
- 1. How Kaiser Permanente Uses Jira Software for Analytic Data Management BRIAN SIKORA | SENIOR DIRECTOR | KAISER PERMANENTE MELANIE MCLEOD | SENIOR OPERATIONS CONSULTANT | KAISER PERMANENTE
- 2. I am constantly wondering if I’m just repeating an analysis that has been done 10 times already somewhere else at KP “ ” Finding other analysts is hard - even if profile data is out dated - just having this would make my day to day experience better When making an analytic request, it often feels as though it enters a black hole without a clearly communicated timeline “ ” “ ”
- 3. Melanie McLeod, Senior Operations Consultant Brian Sikora, Senior Director Brian works in collaboration with regional leaders to set the department’s strategic direction, prioritize analytical needs, to maintain robust recruiting and professional development programs, and to continually improve the quality of the region’s analytical infrastructure. Brian also represents the Northwest Region in KP Program level initiatives and in state regulatory and customer-facing functions. He holds a Master’s degree in Healthcare Administration from Portland State University and a Bachelor’s degree in Corporate Finance from the University of Pittsburgh. Brian is a graduate of the 2014 Kaiser Permanente Executive Leadership Program at Harvard Business School. He held many roles in the healthcare industry over the past fifteen years including supply chain, finance, electronic medical records installation, and most recently analytics. Melanie works on several enterprise wide analytic efforts including the SAS Stewardship Council and Analytic Infrastructure Council. She is based in Oakland and works on the national level. She holds a masters in Sustainable Development and Public Health Informatics.
- 4. Agenda Introduction: Kaiser Permanente Analytic Knowledge Management Ecosystem Analytic Request Management Using Jira Customization and Next Steps
- 6. KAISER PERMANENTE TOUCHES THE LIVES OF MILLIONS
- 7. OUR GROWTH • 11.8M Members • $63B in revenue • 42 Hospitals • 680 Medical Centers • 200,000 Employees
- 8. OUR DATA AND POTENTIAL
- 9. MAGNITUDE AND DIVERSITY OF ANALYTICS
- 10. Kaiser Permanente has more than 60 decentralized analytic groups THE CHALLENGE
- 12. Knowledge Management will connect groups across KP to improve analytics INTEGRATION AND COLLABORATION
- 13. DESIGN PRINCIPLES Findings and recommendations based on 2016 analytic best practice study Integration and Collaboration
- 14. OUR VISION An integrated one stop shop for the entire KP analytic community
- 16. Request Explorer REQUEST MANAGEMENT FRONT END New Requests Makes all requests in Jira visible to entire organization WordPress front end integrates seamlessly and populates Jira All new analytic requests automatically spawn an issue in Jira
- 17. ANALYTIC REQUEST MANAGEMENT MATURITY MODEL
- 18. ANALYTIC KNOWLEDGE MANAGEMENT SYSTEM OVERVIEW Jira Backbone Analytic Front Door Jira is the foundation of Analytic Request Management and an integral component of the ecosystem One portal for all components
- 19. REQUEST MANAGEMENT LANDING PAGE Easy to Use Jira Connection Sizing Created with user defined minimum necessary fields All information from the intake form is automatically in Jira The area shown is not the full area of the screenshot. Please remember You don’t always need the line or text at all.
- 20. REQUEST EXPLORER Search Capability Intent is to identify experts and reduce duplication Search Custom Fields Flexibility of Jira allowed for a tailored interface to meet KP needs
- 21. PREVENTING DUPLICATION AND REDUNDANCY Team Level Routing Request Refinement Edit and record additional details about a request
- 22. MAKING JIRA WORK FOR US Custom Workflows Enabled Can manage requests through team defined workflows Reporting Metrics Create dashboards to explore team performance
- 23. REQUEST MANAGEMENT INTEGRATION WITH ANALYST DIRECTORY Analyst Directory Jira/Request Management Integration Searchable analyst profiles to identify resources and talent Information collected in Jira for Analytic Requests populate associated fields in Analyst Directory
- 24. REQUEST MANAGEMENT INTEGRATION WITH BITBUCKET Project Code Connection Project code from BitBucket will be linked from Request Management
- 26. APPROACH Teams worked to balance standardization with customization
- 27. Approach Define and Share Learn and SpreadDevelop, Refine, Develop Developed set of default screens and workflows for future adopters to pick from Using evaluation to identify opportunities and encourage future adopters Worked with 4 early adopter teams to define requirements and develop standardization where appropriate
- 28. Using Customization in Jira to Meet Our Needs Workflow Customization ReportingJira Custom Fields Allows for each team to have their own workflows/Kanban boards Previous metrics will be included in team level custom dashboards Allows for enough flexibility to meet varied team workflows
- 29. NEXT STEPS System Go-Live Additional Testing/Refinement Build Out Analyst Directory Wave Two Adopters Evaluation/Success Stories Sept Oct Nov Dec
- 30. Thank You BRIAN SIKORA | SENIOR DIRECTOR | KAISER PERMANENTE MELANIE MCLEOD | SENIOR OPERATIONS CONSULTANT | KAISER PERMANENTE