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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 Challenges  Web 2.0 / KM System  Qualitative / Quantitative Analysis  Limitations 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 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… Charlie’s Consulting Service Hitting Valve With Mallet……………………………………………….... $ 1.00 Knowing Where and How Hard………………………………………….$ 24,999.00 Total Due………………………………………………………………………... $25,000.00 SECI Model 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 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 Payment Process Physician Renders Service Payment Made to Physician Claim Submitted to Payer Payer Processes Claim Payment Failure Points Physician Renders Service Coding error Output error Failure Payment Made to Physician Processing error Application error Claim Submitted to Payer Failure Failure Payer Processes Claim Contract Error Administrative error Commercial Payers & Managed Medicare 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 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 – 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 Home Page Contract Models Ad Hoc Reports Task Tracker Issue Tracker Discussions Reimbursement and Coding Updates Client Issues 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 Client 1 / Payer 1 - Correlation Client 2 / Payer 2 - Correlation 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 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?” 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 Questions? I hope to be back next year with additional information!