Making It Count : A Network’s Successful Use of Data Analytics to Improve Quality Michele Russell Chief Information Officer Health Choice Network, Inc.

About your Speaker: Information Technology experience: 25 years Healthcare Information Technology experience: 20 years Federally Qualified Health Centers experience: Over 15 years Information Technology Education: A.A.S. Business Computer Programming, B.S. Information Technology, M.S. Healthcare Informatics and Analytics (eta 2016) Current Appointments: Advisory Board Commonwealth Purchasing Group, NetApp CXO Neural Network, CHIME, HIMSS, SFHIMSS Speaking Engagements in 2016: Healthcare Data Security / Cyber-Security and Healthcare Data Mobility: HealthIMPACT Southeast 1/ Miami Health IT Summit ON24 – Technically Speaking Webinar AHCA Health IT Symposium NACHC P& I Forum

Agenda  About Health Choice Network (HCN)  Stakeholders  Types of Data  HCN’s HIT Timeline  Customized Leadership Enabled Analytical Reports (CLEAR)  What does it really take to succeed?

About Health Choice Network  HRSA Health Center Controlled Network designee formed in 1994  Providing services to 42 health centers in 24 states  Membership ranges across 9 states  2.2 Million Medical Visits  1.8 Million Unique Patients

Value to Our Members Core Services Offered by the HCN Family:  Information Technology – CIO Services, Hosting, Implementations, Training, Project Management, HIPPA Privacy and Security and Disaster Recovery Services  Revenue Cycle Management (RCM) – System Setup, Billing, Collections, Self Pay, Contract Loading and Denial recovery  Managed Care (ASO)– Risk Contracting, Credentialing, Referrals Coordination  CFO Services – Centralized accounting support, audit preparation and Board presentation  Clinical Innovation Center (CIC) – Research and Development for Member Centers, Fund Development and a PCORI sub-recipient

Health Choice Network Health IT Focus

To whom do we need to make it count? Who are your stakeholders?

Who are your Stakeholders?  Patients  Physicians, Nurse Practitioners, Physician Assistants  Care Teams  Funders (National, State, Local, Foundations)  Payers  Regulatory Agencies  Administrators  Research

What types of data are you expected to present?

What forms of data are being requested?  UDS  HEDIS  PCMH  ACO  Meaningful Use  CQMs  P4P  FPAR  Ryan White  EMR Supplemental Data for Managed Care Plans

How do we meet all of these data requirements? That really is the $64,000 question…..

 Launched over 2 years ago with 40 measures and no Help  HELP contains approximately 300 Documents  Unique Patients – 4,134,555  Reports -380  Widgets – 53  App/Server – 15  Data Exchange Message Types = CCD, ADT, SIU, ORU, MDM, 834, 837p, 835, 340B, CSV, XLS  Inbound Data Feeds = 2841  Outbound Data Feeds = 180  Data Share Partners = 20+  DBs Disk Space = 2TB

Clinical Quality Measures  Clinical  Weight Assessment  Childhood Immunization  Clinical Monitoring  HEDIS  Preventive  Well Child  Comprehensive Diabetic Care  Operational Meaningful Use  Stage 1  Stage 2-A  Stage 2-B  Patient Centered Medical Home  3-B Clinical Data Specs  2-C Race & Ethnicity Information  3-A Patient Information  Clinical Tools  Productivity Information  Planned Care Visits  Alerts Center  Reports Browser  Uniform Data System  UDS  UDS Monitoring 14

Productivity Information Productivity Information allows you to monitor Provider Productivity. Open tasks: Open tasks: displays all Outstanding Tasks by Provider. Unreviewed Labs: Unreviewed Labs: displays all unreviewed by component level. Unresolved Encounters: Unresolved Encounters: displays all open encounters that have not yet been assigned charges. Unsealed Notes: Unsealed Notes: displays all Notes that have not yet been sealed and signed.

Planned Care Visits  Planned Care Visit is a list of patients who have an appointment on the specified date along with key clinical elements.  Examples of how Planned Care Visits can be used:  Great report to identify clinical gaps in care.  Can be exported and provided to your Care Coordinators.  Use in morning huddles with Clinical Support Staff.  Follow up with patients on orders prior to their upcoming appointments.

Meaningful Use Clinical Quality Measures Healthy People 2020 Goal Center HCN Clinical Measures Weight Assessment Measures Childhood Immunization Measures Clinical Monitoring Measures

CLEAR Provider Report Card

Meaningful Use Operational Measures Center Average Network average Measure’s Goal

HEDIS Comprehensive 20 o Diabetic Care o Well Child o Preventive Care

Patient Centered Medical Home  PCMH 3-B Clinical Data Specs  PCMH 2-C Race & Ethnicity Information  PCMH 3-A Patient Information

UDS – Uniform Data System Clinical Measures Center Average Network average Measure’s Goal

CLEAR Help 23

CLEAR Help

CLEAR Help and Specifications

Given all of this talk about data….what does it really take to succeed?  Not the function of any individual or single department  Participation by all departments with direction provided from the Board and Executive levels  One common voice based on buy-in  Standardized workflow and documentation  Discuss and develop best practices  Look at the data regularly  Share the information

Michele Russell Chief Information Officer Health Choice Network, Inc.