An Integrated Approach to Patient Experience Analytics

Transcription

1 An Integrated Approach to Patient Experience Analytics Director of Value Analytics Johns Hopkins Medicine

2 Vision, Mission, and Values Vision Enhance the value of health care services for patients by leveraging data assets and catalyzing metabolism of information across Johns Hopkins Medicine. Mission Provide clinicians and staff useful information on quality, safety, service, and cost while offering the most efficient and effective business intelligence and data analytics solutions to Johns Hopkins Medicine s internal and external stakeholders. Values Humility & Respect Customer Service & Excellence Continuous Improvement & Accountability 2

3 Conceptual Model Assessment VALUE ENHANCEMENT Continuous Feedback and Improvement Quality,Safety Readmissions Data Patient Experience Data Clinician Engagement Visualization Predictive / Prescriptive Diagnostic Descriptive Opportunity Clinical Process, Infection Data Applications Datamarts Systems Architecture Financial Data Supply Chain Data Business Intelligence and Data Analytics Process Subject Matter Experts (Lab, Imaging, Pharmacy, Blood, and Supplies) Benchmarks, Variations, and Guidelines (Internal and External) Tools (Dashboard, Report, Data Analysis) Reflection, Education, and Training 3

4 Value Data Ecosystem: Nodes and Connections Model Care Coordination Hospital Infection Control Patient Safety Cost Accounting Role of Value Analytics Quality Improvement Hospital Revenues 1. Internal Consultant for Data Analytics focused on Value Clinical Decision Support Service Excellence General Accounting Professional Revenues 2. Create Standards and Integrated Products 3. Knowledge Management and Business Continuity JHM EPIC Ancillary Resources (Blood, Drugs, Supplies, Lab and Radiology) 4

5 Data Life Cycle Management Systems Applications 2 Business Intelligence and Data Analytics Process 4 Improvement Efforts Results 1 Opportunity Analytics Clinical Communities Descriptive Analytics Clinical Pathways Diagnostic Analytics CUSP Teams 3 Predictive Analytics Prescriptive Analytics Visualization Clinical Departments Managed Care 1: Application Development 2: Platform Development 3: Apply data science 4: Capacity Building and Information Metabolism 5

6 Success Story: Colorectal Enhanced Recovery After Surgery (ERAS) Program Multidisciplinary, standardized evidence-based protocols in the perioperative period Key elements: Perioperative Counseling about expectations for the procedure Optimizing nutrition Minimizing use of narcotic pain management Early mobility Fully implemented at The Johns Hopkins Hospital in 2014 now used throughout the health system 6

7 Patient Experience Analytics for Colorectal ERAS % Top Box Score 7

8 Patient Experience Analytics for Colorectal ERAS % Top Box Score and Average Length of Stay by Quarter 8

9 Integrated Analytics for Patient Experience Data Correlation Analysis Regression Analysis to identify key drivers (i.e. interventions) that contribute to the change in outcomes Comprehensive approach to assess the value of providing patient care 9

10 Lessons Learned 1. Analysts can do more than just run queries and conduct analyses Analysts need to evolve into proactive advisors and project managers 2. Analytics is not the same as IT Analytics requires expertise in the art of analyzing and visualizing data while understanding the business priorities 3. Big gap between what is possible vs. what can be done today Continue to train and recruit analytics talent into the healthcare industry 4. Information Metabolism will be a critical success factor regardless of how much advancement we achieve in data analytics Consumers of healthcare data such as clinicians and patients must be able to relate with the information which will then lead to action and improved results 5. To fully leverage clinical data, new technologies are needed Ability to efficiently mine unstructured data and deploy Natural Language Processing will take analytics to the next level 9

11 Key Takeaways: 1. Maximize Return on Data Assets: Data is currency and returns will benefit Our Patients 2. 80/20 20/80 3. Patients are our North Star THANK YOU! Ken Lee, DrPH, MHS 10