The Primary Care Information Project
On September 15, 2009, Sarah Shih, MPH made this presentation at the 2009 Annual Conference. Select to access the PowerPoint® presentation (2 MB).
Slide 1
The Primary Care Information Project
Sarah Shih, MPH
Exec. Dir. Healthcare Quality Information
New York City
Department of Health and Mental Hygiene
sshih@health.nyc.gov
www.nyc.gov/pcip
Slide 2
NYC's Health Agenda
Take Care New York
- Have a Regular Doctor or Other Health Care Provider
- Be Tobacco-Free
- Keep Your Heart Healthy
- Know Your HIV Status
- Get Help for Depression
- Live Free of Dependence on Alcohol and Drugs
- Get Checked for Cancer
- Get the Immunizations You Need
- Make Your Home Safe and Healthy
- Have a Healthy Baby
Slide 3
Health Care that Maximizes Health
- Health Information Systems that are oriented toward prevention
- Redesigned Practice Workflows Patient Engagement that highlights prevention
- Payment that rewards disease prevention and the effective management of chronic disease
Slide 4
Focused on Medically Underserved Patients in NYC
We have secured signed commitments from 2,100 providers in 379 practices and at 480 sites
~ 1 new provider goes live on the EHR every day
| Practices | Live | In Progress | Practice IS ratio |
|---|---|---|---|
| Small Practices | 247 | 96 | 86:1 |
| Health Centers | 18 | 13* | 15:1 |
| Hospital OPDs | 3 | 2* | 4:1 |
| Sub-total | 268 | 111 |
*Practice with sites both live and in implementation
Slide 5
BRINGING THE RESOURCES OF LARGE NETWORKS TO INDEPENDENT SMALL PRACTICES - A "VIRTUAL NETWORK"
Kaiser Permanente > NYC PCIP
Slide 6
PCIP, eCW & Practice team structure
| PCIP | ECW | Practices | |
|---|---|---|---|
| Small | Large | ||
| Implementation specialists | Project Managers, Business Analysts, SAMS | Providers, Office Managers | Project Management Team |
| Infrastructure team | Technical Specialists | IT Consultant | IT Department |
| Interface Coordinator (PM, labs and CIR) | Lab Interface team | Providers, Office Managers | IT Department, Ref/In-house lab |
| Quality Assurance | Developement team | Providers, Office Managers | Site Administrators |
| Quality Improvement consultants, Supers Users, Billing consultants | Trainers, Billing Specialists, Business Analysts | Providers, Office Managers, Biller | Quality Improvement Unit, Financial Dept. |
| Privacy and Security consultants | Development team | Providers, Office managers | IT Department, Legal |
| Development team | Development team | Providers, Office Managers | Super Users |
Slide 7
8 Key Features of the TCNY Build
- Measure Reports
Side-byb-side provider comparisons of performance on quality measures - Enhanced Registry
Identifies patients by structured data (e.g., diagnoses, drugs, labs, demographics) - Automatic Visual Alerts
Highlights abnormal vitals - CDSS
Automatically displays preventive service alerts that are suppressed when addressed - Quick Orders
One-click ordering of recommended preventive services - Comprehensive Order Sets
Displays best practice recommendations (e.g., for meds, labs, patient education) - eMedNY
With patient consent, displays 90-day history of all Rxs filled by Medicaid patients - CIR School and Health
Sends information to City Immunization Registry and generates school health forms
Slide 8
Small Practice Consulting Approach
Client-Facing Teams are phased in, as appropriate
Slide 9
Following Medical Home and Chronic Care Models
Useful framework for organizing QI work
- Actionable curriculum consisting of a collection of discrete activities and achievable goals
- Focus on "whole-practice" redesign (e.g. teamlet care - C. Sinsky)
- Provide actionable and meaningful feedback
- View EHR-derived quality measure data on a routine basis
- Provides incremental recognition
"BOOTS ON THE GROUND"
- Assist practices through the process and lower the "activation energy"
- Software, QI, EMR consulting, Pay for Performance, relationships
- Partnership with NCQA- multi-site survey
- Software, QI, EMR consulting, Pay for Performance, relationships
- Keep practices focused on care & and reduce administrative burdens
- Average physician spends $68,274 per year interacting with insurance plans*
- Average physician spends $68,274 per year interacting with insurance plans*
- Focus practices on areas to have the highest impact for health
- Provide share resources to practices (care coordinators, nurses, panel managers)
- Conduct patient outreach using the data from EHR
*J. A. Sakowski, J. G. Kahn, R. G. Kronick et al., "Peering into the Black Box: Billing and Insurance Activities in a Medical Group," Health Affairs Web Exclusive, May 14, 2009, w544-w554
Slide 10
How do we know whether providers are meaningfully using the EHR?
- PCIP staff
- Scheduled on-site visits
- Demo of registry query functions
- Data Transmissions from EHR
- Encounter information from PM
- Utilization of EHR metrics
- Quality Measures (EoC)
Slide 11
Average Encounters Per Month by Practice Size*
Bar graph depicting average encounters per month up to three providers.
*Limited to small practices that have been on the EHR for 6 months or more.
Data available on ~116 small practices
Slide 12
PCIP Contractual Expectations with Providers
Selected Measures for Demonstrating Use of EHR
- Visits where office visit CPT codes were entered into the progress note.
- Visits where an order set was used as part of the progress note.
- Visits where a smart form was used as part of the progress note.
- Visits where blood pressure was entered into the progress note.
- Visits where allergy data was entered in a structured format
- Insurance claims created over total number of insurances for patients that month
- Visits where medications were prescribed through the EHR
- Prescriptions entered into the EHR that were sent via fax or electronic interface
- Labs reviewed over labs ordered
- Current medications were entered or verified in the EHR
- Months in a 6 month period when required data files were transmitted to the DOHMH
- Months in a 6 month period when all core utilization measures were reported to the DOHMH
Slide 13
Proposed Meaningful Use Measures Overlapping with Data Transmitted to PCIP
| Line | 2011 Measures (Draft from HITECH) | Level |
|---|---|---|
| 9,10 | % of permissible RX's transmitted electronically | Provider |
| 21,22 | % lab results incorporated into EHR in coded format [OP,IP] | Practice Provider |
| 26 | % of encounters for which clinical summaries were provided [OP, IP] | Provider |
| 28 | % of encounters where med reconciliation was performed [OP, IP] | Practice |
| 30 | Report up-to-date status for childhood immunizations [OP] | Practice |
| 31 | % reportable lab results submitted electronically [IP] | Practice |
Slide 14
EHR Utilization Transmitted to PCIP
- Snapshot of monthly activities
- Number of practices with EHR use data
- 133 practices in July and August 2009
- 85 have been using EHR for 8 months or longer
| EHR use transmissions | Total Jul* | Total Aug* |
|---|---|---|
| Lab results transmitted | 48,072 | 52,183 |
| Lab results reviewed | 56,731 | 63,882 |
| Use of Medicaid State Rx Claims | 2,422 | 2,560 |
| Active patients | 508,079 | 516,283 |
*limited to practices on the EHR for 8 months or longer
Slide 15
Proposed Meaningful Use Measures Currently within PCIP Quality Measures
| Line | 142011 Measures (Draft from HITECH) |
|---|---|
| 1 | % diabetics with A1c under control [OP] |
| 2 | % of hypertensive patients with BP under control [OP] |
| 3 | % of patients with LDL under control [OP] |
| 4 | % of smokers offered smoking cessation counseling [OP, IP] |
| 5.6 | % of patients with recorded BMI [OP] |
| 14 | % of patients over 50 with annual colorectal cancer screenings [OP] |
| 15 | % of females over 50 receiving annual mammogram [OP] |
| 16 | % of patients at high-risk for cardiac events on aspirin prophylaxis [OP] |
| 17 | % of patients with current pneumovax [OP] |
| 19 | % eligible patients who received flu vaccine [OP] |
Note: Quality Measures are collected at the provider level and stratified by insurance type. For some practices, stratified by race/ethnicity, though few providers are completing the field for race/ethnicity
Slide 16
Preliminary Data - Quality Measures
| Mar08 to Feb09 | Aug08 to Jul09 | |||||
|---|---|---|---|---|---|---|
| Measure Name | N | Mean (std) | Sum* | N | Mean (std) | Sum* |
| A1C control (< 7%) | 12 | 53.7 (16.6) | 492 | 44 | 47.2 (17.0) | 2,498 |
| Antithrombic Treatment | 58 | 47.5 (21.2) | 8,617 | 89 | 49.6 (21.3) | 13,686 |
| Asthma control (5-11 yrs) | 3 | 87.8 (18.4) | 49 | 4 | 89.0 (12.4) | 104 |
| Asthma control (12-17 yrs) | 2 | 74.1 (16.4) | 22 | 3 | 90.6 (8.4) | 54 |
| Asthma control (18-56 yrs) | 2 | 45.7 (36.4) | 12 | 11 | 61.9 (27.5) | 105 |
| Body Mass Index | 86 | 61.6 (29.8) | 83,029 | 110 | 70.4 (26.9) | 126,842 |
| BP Control ≤130/80 DM | 56 | 23.9 (13.5) | 4,922 | 78 | 30.7 (17.3) | 7,358 |
| BP control ≤140/90 HTN | 63 | 48.6 (16.4) | 12,305 | 85 | 51.9 (16.0) | 18,480 |
| BP Control ≤140/90 IVD | 32 | 67.4 (16.3) | 650 | 46 | 69.7 (20.1) | 868 |
| Cholesterol Control <100 gen pop | 14 | 63.4 (22.5) | 573 | 48 | 52.2 (21.3) | 3,145 |
| Cholesterol Control <100 IVD,DM | 15 | 65.3 (18.5) | 874 | 37 | 62.4 (15.7) | 1,879 |
| Breast cancer screening | 16 | 4.5 (5.8) | 6,346 | 51 | 5.2 (7.9) | 22,034 |
| Colorectal cancer screening | 8 | 1.9 (1.3) | 4,126 | 46 | 3.9 (6.2) | 22,008 |
| Influenza vaccine (over 50) | 48 | 22.6 (18.4) | 25,550 | 70 | 15.6 (15.2) | 38,431 |
| Pneumococcal vaccine | 66 | 9.8 (13.0) | 27,352 | 98 | 9.8 (13.5) | 45,641 |
| Smoking cessation intervention | 45 | 19.0 (14.5) | 4,798 | 79 | 29.7 (23.6) | 8,253 |
*A population estimate was derived by summing across practice denominators per measure
Slide 17
Questions?
Contact: sshih@health.nyc.gov
Visit: www.nyc.gov/pcip


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