NAS Consulting Services Health Care IT and Chronic Disease Care: A Status Report on Diabetes Registries California Health Care IT 2003 Neil A. Solomon,

Slides:



Advertisements
Similar presentations
Nederlands Huisartsen Genootschap Dutch College of General Practitioners Arno Timmermans, president.
Advertisements

December 2005 Presentation to the Vermont Commission on Health Care Reform Kenneth E. Thorpe, Ph.D. Robert W. Woodruff Professor and Chair Department of.
Bangor Beacon Community Technology Overview Presented to Maine Health IT Steering Committee July 8,
CDM Registry Project Dr. Richard Lewanczuk Regional Medical Director Chronic Disease Management Capital Health.
MEDICAL HOME 1/2009 Mary Goldman, D.O., President of MAOFP.
All Payer Claims Database APCD Databases created by state mandate, that includes data derived from medical, eligibility, provider, pharmacy and /or dental.
Regional Variation and Diabetes/Heart Disease Management in California Pay for Performance Tom Williams Executive Director Integrated Healthcare Association.
Why are we here? We have in place various ways in which patients can engage, to either use services, or influence the way in which those services are provided.
Health Information Technology to Support the Patient-Centered Primary Care Medical Home: UNC Experience Sam Weir, MD UNC Family Medicine Center Director.
1.01 E LECTRONIC M EDICAL R ECORD S YSTEMS AND D ISEASE R EGISTRIES : S ELECTION A LONG THE S PECTRUM Wayne T. Pan, MD Medical Director Choosing a Chronic.
AHCCCS/ASU Clinical Data Project March 17 th, 2009 Arizona Health Care Cost Containment Health System Medicaid Transformation Grant Program.
July 3, 2015 New HIE Capabilities Enable Breakthroughs In Connected And Coordinated Care Delivery. January 8, 2015 Charissa Fotinos.
Hetty Khan Health Informatics Specialist Centers for Disease Control and Prevention National Center for Health Statistics Aug 18, 2010.
Samaritan Select Disease Management Chronic Care Support Program.
Chapter 2 Electronic Health Records
Use of Commercial EMRs for Quality Reporting & Improvement: The Experience of Physician Practices Joy M. Grossman, PhD and Hoangmai Pham, MD, MPH AcademyHealth.
August 22, 2002 THE HIPAA COLLOQUIUM at Harvard University A. John Blair, III, MD Chairman and Chief Executive Officer Taconic IPA, Inc. Fishkill, NY HIPAA.
Inter-institutional Data Sharing, Standards and Legal Arthur Davidson, MD, MSPH Agency for Healthcare Research and Quality, Washington, DC June 9, 2005.
HealthInfoNet and Clinical Data Capture Update – LD1818 Workgroup Presentation August 9,
Patient Centered Medical Home What it means for Duffy Health Center Board Presentation September 10 th 2012.
Bangor Beacon Community Health Data Capture October 26, 2010 Barbara Sorondo, MD MBA.
PACT and HF-How can we Optimize Care Delivery for our Patients
Data Collection and Aggregation: Making It Work for Your P4P Program Dolores Yanagihara, MPH Integrated Healthcare Association February 27, 2008 National.
Primary Care Workforce Summit November 29, 2012 Country Springs Hotel, Waukesha Primary Care Workforce Summit Pharmacy Perspective Kate Hartkopf, PharmD.
Results from eHI & CHIME Survey Use of Data and Analytics by Providers Jennifer Covich Chief Executive Officer August 30, 2012.
Stage 2 Eligible Hospital and Critical Access Hospital (CAH) Meaningful Use Core and Menu Objectives.
1 Managing Chronic Illness in a Medicaid Population ~ The Indiana Chronic Disease Management Program December 2, 2004.
July 31, 2009Prepared by the Maine Health Information Center Overview of All Payer Claims Data Suanne Singer, Senior Consultant Maine Health Information.
Dana Erpelding, MA Interim Director, Center for Health and Environmental Information and Statistics Colorado Department of Public Health and Environment.
Population Health: A Sustainability Strategy for a Disease Registry? AHRQ 2007 Annual Meeting September 27, 2007 Eleanor Littman RN MSN Health Improvement.
Are patients with chronic diseases a new challenge to general practice? Organizing preventive health services to patient with chronic diseases Why do clinics.
The Status of Health IT in British Columbia Elaine McKnight.
Initiative Overview Santa Cruz – Community Chronic Care Network Stage 4 Project Summary and Objectives: The Santa Cruz County Diabetes Mellitus Registry.
The Santa Barbara County Care Data Exchange Ronald A. Paulus, M.D., M.B.A. President, CareScience.
P4P as a Support Tool for Medicaid Disease Management Programs Jim Hardy President, Sellers-Feinberg.
An Electronic Dashboard For Improving the Quality of Health Care and for Decreasing the Cost of health Care Stephen A. Kardos D.O.
June 18, 2010 Marty Larson.  Health Information Exchange  Meaningful Use Objectives  Conclusion.
Information Technology and Data Collection: February 28, 2008 Optimizing Lab Results and Pharmacy Data Collection Under P4P Concurrent Session 1.07 Horace.
Realizing the Benefits of Health IT For CHCs November 8, 2005 Ralph Silber, MPH, CEO Community Health Center Network 1320 Harbor Bay Parkway, Suite 250.
Using Clinical Information Technology to Support Better Practice Chronic Disease Care November 4, 2005 Ralph Silber, MPH, CEO Community Health Center Network.
Enabling Chronic Disease Care through Health IT Dean Schillinger, MD UCSF Professor of Medicine Director, UCSF Center for Vulnerable Populations, San Francisco.
Connecting to the Kentucky Health Information Exchange (KHIE) Cabinet for Health and Family Services ACS/Axolotl Central Baptist Hospital Pikeville Medical.
The Patient-Centered Medical Home: A Work in Progress Alliance for Health Reform Briefing Washington D.C. September 22, 2008 Diane R. Rittenhouse, MD,
Facilitators: Kit Cairns, Dean Health Greg Margrett, Netwerkes/Ingenix.
National Study of Physician Organizations and the Care of Chronic Illness (NSPO) II AcademyHealth 2007 Annual Research Meeting Diane R. Rittenhouse, MD,
Barriers and Facilitators to Computer Use in VA for Implementing Guidelines Brad Doebbeling, MD, MSc VA Indianapolis HSR&D Center of Excellence, Indy VAMC.
Resolving Challenges in Data Collection, Aggregation, and Use of Standardized Measures Dolores Yanagihara, MPH Integrated Healthcare Association February.
Technological Innovations to Improve Tobacco Cessation In Health Systems Charles J. Bentz MD Medical Director: Tobacco Cessation and Prevention Providence.
The Coached Care for Diabetes Project A community research collaboration John Billimek, PhD University of California, Irvine.
The Michigan Primary Care Transformation (MiPCT) Project The Way Forward: Sustainability and Continuity in 2015 and Beyond 1.
Collaborating With Your Health Plan 03/07/05 To paraphrase A. Einstein: We cannot solve today’s problems with the same level of thinking that created them.
Donald J. Rebhun, MD, MSHD National Medical Director
David W. Bates, MD, MSc Chief Quality Officer, Brigham and Women’s Hospital Member, HIT Policy Committee President-elect, ISQua Medinfo, 2013.
Uses of the NIH Collaboratory Distributed Research Network Jeffrey Brown, PhD for the DRN Team Harvard Pilgrim Health Care Institute and Harvard Medical.
Integrating Central and Hospital Registries To Improve Timeliness and Data Quality (The Central Cancer Registry as a Hub for Data Exchange) David Rousseau,
Building Capacity for EMR Adoption and Data Utilization Among Safety Net Organizations Presented by Chatrian Reynolds, MPH, Evaluator, LPHI Shelina Foderingham,
Jennifer King with Vaishali Patel, Matthew Swain, Michael Furukawa Office of the National Coordinator for Health IT (ONC) Health Information Exchange Capability.
Rethinking Rural Health
The PRIME Study Dr. Komalkirti Apte
A Path of Learning and Improvement
Building a Regional Clinical Data Repository: Lessons Learned
Community Oriented Approach to Population Health
Building a Regional Clinical Data Repository: Lessons Learned
Value of a Population-Based Registry in Quality Improvement
Point-of-Care Registries
Point of Care Tool to Manage Patient Populations
Administration/Finance
Health Care Informatics
Attitudes Toward Cultural Competency in CA Medical Groups
Southern West Virginia Health System
Presentation transcript:

NAS Consulting Services Health Care IT and Chronic Disease Care: A Status Report on Diabetes Registries California Health Care IT 2003 Neil A. Solomon, MD NAS Consulting Services

NAS Consulting Services Diabetes Registry Status Report  Surveyed 16 medical groups and IPAs participating in the Diabetes CQI Project  Asked questions about: registry development status availability and usefulness of data sources skills and staff resources to utilize data effectively  Performed telephone interviews in November 2002  Sponsored by California HealthCare Foundation

NAS Consulting Services Main Findings  11 of 16 responding medical groups have a diabetes registry. Most consider their current registry a work-in-progress.  Wide array of software products used to manage the registries; most common product was Access database.  Most common data sources used in the registry are laboratory (7 groups) and encounter (5). Only 2 groups used lab, pharmacy and encounter data in their registry.

NAS Consulting Services Availability of Data  Lab data is available to most medical groups through a primary lab vendor or hospital partner.  Pharmacy data is available to most medical groups through agreements with the major health plans. This data is usually provided in some version of Calinx format.  All medical groups have access to some form of encounter information through their claims system. Great variation in software systems used. Most groups believe data capture is good.

NAS Consulting Services Major Challenges  Technical challenges in managing the data feeds  cleaning, tranforming, loading  matching patients across databases  performing analyses and generating reports  Lack of resources allocated in many groups to perform the data management tasks. Need for skills development.  Need for software programs to automate data management functions.

NAS Consulting Services Other Barriers  Data use agreements between plans and medical groups  Lack of common Calinx format for pharmacy data  Lack of standardized format for lab data  Uncertain capture rate of encounter data, especially for capitated patients

NAS Consulting Services Options to Overcome Barriers  Develop internal capabilities within medical groups  Create statewide entity to manage data process and feed data to medical groups  Trade associations or other public entities provide data management services  Medical groups outsource data management function to private companies that create and manage registries