EHR = Meaningful Use? (Text Version)

Slide Presentation from the AHRQ 2009 Annual Conferenc

On September 15, 2009, Kelly Templeton made this presentation at the 2009 Annual Conference. Select to access the PowerPoint® presentation (647 KB). Plugin Software Help.

Slide 1

EHR = Meaningful Use?

Kelly Templeton, Application Specialist
Citizens Memorial Healthcare
Bolivar Missouri

Slide 2

Citizens Memorial Healthcare

• 55 acute care beds
  • Medical/Surgical
  • ICU
  • The BirthPlace
  • Geriatric Wellness
• Emergency Services
  • Levell III trauma center
  • Ambulance Services
  • Air Ambulance onsite
  • Home Health, Hospice, Home Medical Equipment, Health Transit Services
• Long Term Care Facilities
• Residential Care Facility
• Physician Clinics
• Outpatient Services
  • Rehab
  • Sleep Lab
  • Cardiac Cath Lab
  • Visiting Specialists
• Ambulatory Surgery Center
• Carrie J. Babb Cancer Center

Slide 3

Project InfoCare Vision

• Enable a patient to enter anywhere into the continuum of care and have a personal identity that is maintained across that continuum
• Physicians and other caregivers will have access to all of that patient's medical information within the healthcare continuum
• Providers will be able to document efficiently within the software system, which will free them to have more time to spend with patients
• The investment of time, talent and money will enable CMH to be a technologically advanced healthcare organization poised to grow and offer new services to our patients and the community at large

Slide 4

• EMR that crosses continuum
• 100% use of CPOE
• No paper charts

Slide 5

• Himss Davies Award
• Citizens Memorial Healthcare
• Himss Analytics Innovative Research Informed Decisions

Slide 6

Implemented

• CPOE
• E-Prescribing
• Patient Portal
• Health Maintenance
• Quality Measure Research

Slide 7

Quality Reporting/AHRQ Grant

• Standardize and integrate data capture for quality measurement into the normal documentation of care within the ambulatory EMR
• Implementation of an automated system for data extraction including valid, reliable reports that provide actionable insight for the measurement, analysis and improvement of care

Slide 8

Research Results: Coding 4 Diabetic Measures

• 64 cases qualified for the measures,
  • Coders manually coded 16 qualified & 7 cases unqualified (only 25%)
  • The 16 cases should have had 64 codes; only coded 46 of the 64, (70%) were reported
• Automated data extraction identified all 64 cases reporting 256 codes (100%)

Slide 9

Challenges with Meaningful Use

• User utilization
• Submitting code to CMS
• Maintaining the changing quality measures
• Difficult to build into documentation
• Not consistent