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Assessing The Value of Web 2.0 on Knowledge Management

Assessing The Value of Web 2.0 on Knowledge Management. A health care reimbursement study ICELW Conference June 2013. Agenda. About Me Research – KM and Web 2.0 The Industry The Organization KM C hallenges Web 2.0 / KM System Qualitative / Quantitative Analysis Limitations. About Me.

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Assessing The Value of Web 2.0 on Knowledge Management

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  1. Assessing The Value of Web 2.0 on Knowledge Management A health care reimbursement study ICELW Conference June 2013

  2. Agenda About Me Research – KM and Web 2.0 The Industry The Organization KM Challenges Web 2.0 / KM System Qualitative / Quantitative Analysis Limitations

  3. About Me • Undergraduate in Management • Work in Financial Services, Insurance, Healthcare • MBA – Healthcare / Marketing • MS – Industrial Relations (Economics) • Adjunct Professor • Traditional, Online, Hybrid • DBA – Operations and Information Management • Impact of Web 2.0 on KM • Mixed Methods Research • Expected 2015

  4. Knowledge Management (KM) Strategies and practices used to identify, create, represent, distribute, and enable adoption of information and experiences Focus on objectives such as improved performance, competitive advantages, innovation, the sharing of lessons learned, integration and continuous improvement. Overlap with organizational learning includes a focus on knowledge as a strategic asset. Charlie’s Story…

  5. Charlie’s Consulting Service Hitting Valve With Mallet……………………………………………….... $ 1.00 Knowing Where and How Hard………………………………………….$ 24,999.00 Total Due………………………………………………………………………... $25,000.00

  6. SECI Model

  7. Web 2.0 Second Generation of the World Wide Web. Collaboration and Information Sharing Online. Web 1.0 Static => Web 2.0 Dynamic Open Communication, Web based Communities Communities Of Practice/Knowledge Wisdom of Crowds Blogs, Wikis, Social Networks

  8. Industry Overview • Health Care Funding • Physician / Hospital Payments • Third Party Payers • Government (e.g. Medicare, Medicaid) • Insurers (e.g. Commercial Payers) • Self Pay • Negotiated Contracts • Participating Physicians • Large (and Growing) Physician Practices

  9. Payment Process

  10. Payment Failure Points Coding error Output error Failure Failure Failure Processing error Application error Contract Error Administrative error

  11. Commercial Payers & Managed Medicare

  12. The Organization - Consultant Services • Understand Contractual Agreements • Virtually always changing • Administered incorrectly • Review Billing and Payment Data • Monthly cyclical process • Identify Physician Underpayments • Work with Payers to Make Physicians Whole • Payment on Contingency basis • Account Managers Compensated on Successful Payment Recovery

  13. The KM Challenge • Know 10 – 12 Clients and 20 – 30 Payers • Different Contractual Agreements • Different Requirements • Multiple Projects in Flight • Monthly Data changes • Understand the Impact of Regulatory and Administrative Changes • Contract Renewal Dates • Important Milestones • Rate Increases • Coding Changes • Knowledge Sharing across Clients and Payers

  14. – Collaborate More Easily Work with Coworkers, Clients, and Vendors. Create, Follow and Contribute Discussions Make Announcements Share Documents, Coordinate Calendars Hold Web Meetings Manage Tasks, Build Web Databases Implemented and Developed Over 2008 -Present

  15. Home Page

  16. Contract Models

  17. Ad Hoc Reports

  18. Task Tracker

  19. Issue Tracker

  20. Discussions

  21. Reimbursement and Coding Updates

  22. Client Issues

  23. Quantitative Analysis • Identify Contributions to Database • Measure Results in Performance • Tracked Monthly Results • 42 Months worth of data • Measure Correlation using SPSS • Pearson Product-Moment Correlation • -1 is a Reverse Correlation • 0 is Absolutely No Correlation • +1 is a Positive Correlation

  24. Client 1 / Payer 1 - Correlation

  25. Client 2 / Payer 2 - Correlation

  26. Qualitative Analysis • Interviews with Individuals • Increased Autonomy • Convenient place to house information • Good reference tool; less information to remember • Ability to search • Downloadable information for analysis • Easy to use • Consistent format data entry

  27. Employee Engagement Increase in Employee Engagement Less dependence on asking the question More reliance on the data base More autonomy in work More continuity if people not available Increase in documentation “How did we get buy without it?”

  28. Study Limitations • Small Company size • Specific Industry / Specialized Work • Early inconsistent use of WebOffice • Early inconsistent tracking of Monthly Financial & Operational Data • Difficulty Coding Data Contributions • Timing and Quality • Additional Study Opportunities • Comparing Separate Organizations or Industries

  29. Questions? I hope to be back next year with additional information!

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