Health Data Analytics (HDA) Build the organizational capabilities to create value from HDA

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1 Health Data Analytics (HDA) Build the organizational capabilities to create value from HDA

2 Health Data Analytics (HDA) Webinar Presenter Celwyn Evans Moderator Joe Crandall Objective: Review a pragmatic approach to increasing HDA maturity in a scalable and sustainable manner in order to meet the HDA drivers. Agenda HDA Drivers HDA Process and Enablers Data to Value Maturity Lessons Learned

3 What is Health Data Analytics (HDA)? Health Data Analytics (HDA) is the thoughtful combination of Business Intelligence (BI) and Clinical Intelligence (CI) Creating value with Health Data Analytics requires the timely and relevant processed data (information) that allows you to make intelligent business/clinical decisions that drive action. 3

4 HDA Capability Health Data Analytics (HDA) capability is the ability of organization to take action by leveraging HDA s process, technology and people in a way that is sustainable and repeatable. 4

5 Drivers for Health Data Analytics As an industry we are being driven to improve outcomes, increase patient satisfaction, and improve margins with lower reimbursements. Health Data Analytics Drivers. a few examples External Internal Program Participation Patient Center Medical Home Accountable Care Organization Value Based Purchasing Meaningful Use Reimbursement Rates Safety, Compliance, Cost and Quality 5

6 Health Data Analytics Maturity HDA Drivers are forcing us to answer more and more difficult questions 6

7 Health Data Analytics Maturity Current initiatives are focused here Where we are being driven In the short term 7

8 Health Data Analytics Maturity Meeting the needs of a more mature HDA requires us to work a higher level in the organization 8

9 Health Data Analytics Maturity CIOs are in the position to initiate the projects to grow HDA Maturity 9

10 HDA Process and Enablers 10

11 HDA End-to-End Process A human-focused process facilitates accountability for action and process ownership The process is orientated around outcomes, not tasks Same End-to-End process for all stages of maturity Needs to be initially focused on a single initiative to be successful 11

12 Health Data Analytics End-to-End Process Enabler maturity must be commensurate with the desired level HDA of maturity 12

13 HDA End-to-End Process Landscape Enablers People Data Quality Skills & Roles Patient Needs and Desires Responsibilities Accountability Training Organization Structure Informatics Reporting Dashboards Quality Feedback Action Planning Execution Data Acquisition Workflow Improvement Technology Data Modeling Master Data Access Security Analytical & Reporting Tools Reporting / Dashboards Infrastructure Governance Governance Strategy Projects Metrics Training Policy Security Standards 13

14 People Growth with Maturity HDA Stages of Maturity Initiate Retrospective Investigative Growth Emergent Immediate Innovate Prospective Proactive HDA Champion Departmental Champion with independent agenda Senior leadership recognize HDA as huge potential CEO or COO are vehement champions of HDA Clinical & Business Staff Data collection and reports seen as a requirement. Limited organizational value is perceived from HDA activities HDA tasks are expected and incorporated into daily activities. End users begin to see correlation between HDA and improved outcomes HDA seen as an integral part of organization and used constantly for performance improvement and decision making HDA Staff Departmental staff acting as analysts with niche tools and isolated data Growth of specialized analytical staff and HDA career path. Centralized HDA staff for part of facility HDA initiative Dedicated HDA team supporting enterprise wide analytics. Staff is focused on cross departmental and strategic HDA goals Skills, ability, and attitude change with maturity 14

15 Data Quality Enabler Accuracy Closeness of captured values to the true value Completeness Amount of data available versus what is expected to be obtained Comparability Over time, between populations, between organizations (domains) Relevancy Degree to which information meets stakeholder needs Timeliness Length of time between creation and availability and publication/ distribution 15

16 Data to Value Maturity (D2V) 16

17 HDA Maturity Time Allocation 17

18 HDA Maturity Matrix

19 What Is Holding Healthcare Back? 19

20 HDA Implementation Methodology

21 Lessons Learned Highlights All of us have learned via CPOE, EMR, etc. that the build it and they will come approach has limited success Tools don t make information actionable, people do Think big, but start small with a specific cause and a strong internal champion CIO must be the catalyst to initiate the growth in HDA maturity Crawl-walk-run approach to implementing a HDA Program 21

22 Greencastle s Data to Value (D2V) Service Offerings D2V Initiate Retrospective Investigative Greencastle helps healthcare organizations initiate Health Data Analytics (HDA) capability. We implement a deliberate, people-centric HDA process with scalable technology initially focused on a single initiative. D2V Growth Emergent Immediate Greencastle helps healthcare organizations address the HDA Drivers through a more mature HDA capability that is deliberately transitioning out of IT. We implement a scalable and sustainable HDA process with the required technology encapsulated within an HDA-Competency Center, initially focused on a single initiative. 22

23 Greencastle D2V Service Offering Deliverables Feature D2V Initiate D2V Growth HDA Readiness Assessment X X HDA Process With Enablers Implemented X X HDA Roadmap X X Technology Configured And Operational OPTIONAL OPTIONAL HDA Technology And Process Super Users Trained X X HDA Enabled Clinical/Business Process X X Governance Charter X X HDA-CC Established Using Crawl-walk-run Method Transition Plan For Moving HDA Ownership Out Of IT X OPTIONAL 23

24 Questions? 24

25 Contact Information Presenter Celwyn Evans ext 222 Moderator Joe Crandall

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