Raising the Bar: Innovative Healthcare Program Fosters Collaboration, Education
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Transcript of Raising the Bar: Innovative Healthcare Program Fosters Collaboration, Education
RAISING THE BARInnovative Healthcare Program Fosters
Collaboration & Education
Big Data, Big Discoveries
Sponsored by:
HOST:Eric Kavanagh
GUEST:Dr. Anjum Khurshid
GUEST:Jim McNamara
It’s a Complex Situation
Regulations in the Affordable Care Act (ACA)
Uninsured Americans
Legal challenges to the ACA
Emerging Solutions
Health Information Exchanges (HIEs)
Collaboration among health care institutions
Social Media for analysis, outreach and education
Dr. Anjum KhurshidDirector, Health Systems Division
Louisiana Public Health Institute
Raising the Bar: Transforming Health Care in the
Crescent City
Anjum Khurshid, PhD, MD, MPAffDirector, Health Systems DivisionDirector, Crescent City Beacon CommunityLouisiana Public Health Institute
February 27, 2013
Outline
• Crescent City Beacon Community (CCBC) Goals– Clinical Quality Improvement – Transitions of Care through Greater New
Orleans Health Information Exchange (GNOHIE)
– Consumer Engagement and txt4health• CCBC-BioDistrict Collaboration and Future
Opportunities
Hawaii County Beacon Community
Hilo, HI
Southeast Michigan Beacon Community
Detroit, MI
Crescent City Beacon Community
New Orleans, LA
Delta BLUES Beacon Community
Stoneville, MS
Keystone Beacon Community Danville, PA
Utah Beacon Community
Salt Lake City, UT
Beacon Community of Inland Northwest
Spokane, WA
Great Tulsa Health Access Network Beacon
CommunityTulsa, OK
Southeastern Minnesota Beacon
CommunityRochester, MN
Rhode Island Beacon Community
Providence, RI
Greater Cincinnati Beacon
CommunityCincinnati, OH
Southern Piedmont Beacon Community
Concord, NCSan Diego Beacon Community
San Diego, CA
Western New York Beacon Community
Buffalo, NY
Colorado Beacon Community
Grand Junction, CO
Bangor Beacon CommunityBrewer, ME
Central Indiana Beacon
CommunityIndianapolis, IN
17 Beacon Communities
Crescent City Beacon Community Goals
Reduce the burden of chronic diseases, mainly diabetes and cardiovascular disease by :o Improving the quality of care for chronic disease
patients in patient-centered medical homes, enabled by HIT
o Reducing healthcare costs by decreasing preventable emergency department and inpatient visits through better coordination of care
o Engaging consumers in the healthcare process by using innovative technologies and strategies
3 Cs of CCBC
Clinical Transformation
Care Coordination
Consumer Engagement
Improve QualityBuild &
Strengthen HITInnovate
Patient-Centered Medical Home
(Primary Care System)
Inpatient
Emergency
Wellness
visits
Scr
eeni
ng
visi
ts Routine visits
for
medication m
onitorin
g
Pre
ve
nta
ble
A
dm
iss
ion
s
Pre
ve
nta
ble
E
D V
isits
Reduce readmissions
Patient Engagement/Disease Management
Identify frequent users
Patient Education/Risk Reduction
At-risk -- Low risk -- High risk -- Chronic -- Complex
Population
Specialty/Diagnostics
Appropriate referral
Appropriate admissions
Appropriate urgent care
Timely follow up
Dynamic Framework for a Coordinated System of Care
Dynamic Framework for a Coordinated System of Care
Patient-Centered Medical Home
(Primary Care System)
Inpatient
Emergency
Wellness
visits
Scr
eeni
ng
visi
ts Routine visit
s for
medicatio
n monito
ring
Pre
ven
tab
le
Ad
missio
ns
Pre
ven
tab
le
E
D V
isits
Reduce readmissions
Patient Engagement/Disease Management
Identify frequent users
Patient Education/Risk Reduction
At-risk -- Low risk -- High risk -- Chronic -- Complex
Population
Specialty/Diagnostics
Appropriate referral
Appropriate admissions
Appropriate urgent careTransitions of Care
Innovations/Consumer Engagement
Chronic Care Management
Timely follow up
Clinical Transformation
Improved quality of clinical care for chronic disease patients through improved workflow and health IT
population-based disease registries, risk stratification, care management/care team strategies, clinical decision support
Practice Coaching
Learning Collaborative
EMR Optimization
QI InnovationsClinical Seminar Series
Positive Trends on Adoption & Outcomes
11
7
4
9 9
7
14
12
9
14 14
10
January July
Number of Sites Using Care Management Processes - 2012
Quality Outcomes Q6 to Q7(October
2012)
Diabetes: A1C testing
Diabetes: A1C control (<8.0%)
Diabetes: Lipid testing
Diabetes: Lipid control (<100mg/dL)
Diabetes: Blood Pressure Control (<130/80)
Ischemic Vascular Disease: Blood Pressure Control (<140/90)
Ischemic Vascular Disease: Complete Lipid Profile
Coronary Artery Disease: Drug Therapy for Lowering LDL-C
* All data from QI Outcome Measure Reports
124,509
125,887
126,341
126,808
127,008
130,597
171,293
171,950
172,733
173,073
173,651
176,118
177,790
177,790
179,693
181,306
184,796
0
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
180,000
200,000
# of
Liv
es
Number of Unduplicated Lives in CDR Across the CommunityData as of 2/11/2013
Clinic A
Clinic B
Clinic C
Clinic D
Clinic E
Clinic F
Clinic G
Clinic H
Clinic I Clinic J
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
789
4311
1593
581
1384
720
148
2842 2826
575238
998
295 110304 243
45
619 645
67
Total ED/IP Encounters at ILH7/2/12 - 1/31/13
Sum of EDSum of IP
Care Coordination
ED/IP Notification
ElectronicSpecialty
Care Referral
Birth Outcomes
BehavioralHealth
IntegrationAnalytics
GNOHIE
Mirth Results (CDR)
Mirth Match (EMPI)
Mirth Mail (Secure
Mail)
Mirth Care (Care
Mgmt.)
Mirth Analytics (EDW)
GNOHIE Architecture
Currently connects 23 primary practices and 2 hospitals in GNO
• Encrypted data
• HIPAA compliant protocols
• Role-based access security
• Restricted administrative access
• Patient consent needed
• Extensive Auditing capabilities
Central Data
Repository
Data Security
Transitions of Care
o Emergency Department/Inpatient Notification: Alerts and clinical information are sent to primary care providers about patient visits to emergency departments and hospital admissions.
o Electronic Specialty Care Referral: Referral requests and supporting documentation of the referring primary care provider are sent electronically to the specialist. Specialist’s consult summaries are, in turn, provided electronically to the primary care provider.
Pre-ED/IP Notification
DebbieType 2 Diabetes
DebbieType 2 Diabetes
HOSPITAL HOMEDiabetic Ketoacidosis Discharged
DebbieType 2 Diabetes
DebbieType 2 Diabetes
HOSPITAL HOMEHypoglycemia Discharged
DebbieType 2 Diabetes
DebbieType 2 Diabetes
HOSPITAL HOMEFoot infection Discharged
DebbieType 2 Diabetes
DebbieType 2 Diabetes
HOSPITAL HOMEKidney Infection Discharged
9/15/12
9/25/12
10/2/12
10/20/12
PRIMARY CARE
PRACTICE
ED/IP Notification System
DebbieType 2 Diabetes
DebbieType 2 Diabetes
HOSPITAL HOMEDiabetic Ketoacidosis Discharged
DebbieType 2 Diabetes
DebbieType 2 Diabetes
HOSPITAL HOMEHypoglycemia Discharged
DebbieType 2 Diabetes
DebbieType 2 Diabetes
HOSPITAL HOMEFoot infection Discharged
DebbieType 2 Diabetes
DebbieType 2 Diabetes
HOSPITAL HOMEKidney Infection Discharged
9/15/12
9/25/12
10/2/12
10/20/12
PRIMARY CARE
PRACTICE
GREATER NEW ORLEANS HEALTH
INFORMATION EXCHANGE
10/2
2/20
12
10/2
7/20
12
11/1
/201
2
11/6
/201
2
11/1
1/20
12
11/1
6/20
12
11/2
1/20
12
11/2
6/20
12
12/1
/201
2
12/6
/201
2
12/1
1/20
12
12/1
6/20
12
12/2
1/20
12
12/2
6/20
12
12/3
1/20
12
1/5/
2013
1/10
/201
3
1/15
/201
3
1/20
/201
3
1/25
/201
3
1/30
/201
3
2/4/
2013
2/9/
2013
2/14
/201
3
2/19
/201
3
2/24
/201
3
3/1/
2013
0
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
180,000
200,000
124,509
125,887
126,341
126,808
127,008
130,597
171,293
171,950
172,733
173,073
173,651
176,118
177,790
177,790
179,693
181,306
184,796
Number of Unduplicated Patients in CDRas of 2/11/2013
# o
f L
ive
s
Total ED Encounters = 15,769
Total IP Encounters = 3,564
Clinic A Clinic B Clinic C Clinic D Clinic E Clinic F Clinic G Clinic H Clinic I Clinic J0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
789
4311
1593
581
1384
720
148
2842 2826
575
238
998
295110
304 24345
619 645
67
Total ED/IP Encounters at ILH7/2/12 - 1/31/13
Sum of ED Sum of IP
Since Dec. ’12 – 1 site
Since July ’12 – 3 sites
Since Sept. ’12 – 2 sites
Since Nov. ’12 – 1 site
Since Nov. ’12 – 3 sites
Since Sept. ’12 – 1 site
Since Nov. ’12 – 1 site
Since Sept. ’12 – 3 sites
Since July ’12 – 1 site
Since July ’12 – 1 site
23
Telemedicine Specialty Care
1 hospital – 11 telemedicine
specialties with designated
appointment slots
Cardiology
Dermatology
Endocrinology
Hepatitis C
NephrologyNeurology
Physical Medicine &
Rehab
Pulmonary
Psychiatry Rheumatology
General
Diabetes
Pain Management
Total Specialty Consults in Q4, 2012 = 1,394
Patient Consent
OPT-IN MODELException = break the glass
1 consent form – applies across all GNOHIE participants
PATIENT ENGAGEMENT
AND EDUCATION
PROVIDER ENGAGEMENT
PROVIDER WORKFLOW
Examples of Patient Materials
Community Engagement
Txt4health Campaign
Consumer Engagement
Model
Community Advisory Group
Targeted Community
Engagement
Provider Engagement
Other CCBC Interventions
Integration of Other Settings
to Actualize “Health Home”
Concept
Building Blocks: Text4Health Modules
User sends HEALTH
to 311 411
Development of Profile(Risk Categorization)
Enrollment
Goal Setting/Tracking(Weight & Exercise)
Education/Motivation(According to Risk)
Local Connections(Care & Activities)
System collects:
HEIGHT
WEIGHT (BMI)
AGE
GENDER
FAMILY HISTORY
DIABETES DIAGNOSIS
SMOKING STATUS
System categorizes:
HIGH RISK
MEDIUM RISK
LOW RISK
-------------------------------
UNDERWEIGHT
AT WEIGHT
OVERWEIGHT
OBESE
Enrolled participants in 12 months ~ 1,400
Solution Offering and Value Proposition
Care Management & Coordination System
•Engagement (Consumer,
Provider,)
• Health Information Exchange
• Chronic Care Management System
• Patient- Centered Medical Home
People Process
Data Analysis & Information Management
Technology (EMR/HIE)
Value PropositionSolution Offering
•HEDIS measures for diabetes and cardiovascular
•Reduce hospital readmissions•Reduce Emergency Room Visits•Reduce Avoidable Hospital Admissions•Reduce duplicate testing (e.g. imaging)•Medication management
Improve Quality
Improve Efficiency
Bend the Medical Cost Trend
• Reduction in per member per month cost
Bend the Medical Cost Trend
Use predictive modeling, propensity score matching,and other statistical techniques to investigate:
• High use of Emergency Department
• Avoidable hospital readmissions
• Duplicate procedures and tests
• Preventable hospital admissions
• High-cost patients
• Variation in care
• Root cause analysis
Advanced Analytics
Prescriptive How can we achieve the best outcomes?
Predictive modeling What will or could happen?
Descriptive What happened?
CCBC-BioDistrict Collaboration
• To promote research-community-industry collaboration
• To develop a real-time, real-world, intelligent, learning system that connects researchers and clinicians
• To provide a laboratory for innovation, social entrepreneurship, and translational medicine
• To measure and demonstrate impact on patient outcomes and population health
Opportunities for Future
• Use state-of-the-art health IT infrastructure to coordinate care and evaluate results
• Involve leading research institutions and medical centers to use data to inform clinical practice
• Develop Public-private partnerships to test new ideas, effective treatments, and innovative technologies
• Promote economic development and job creation through workforce training and new business ventures
Strength of the System
Leveraging Trust
Networks
EngagementOwnership &
Accountability
Stakeholder-defined use cases and provider-led design
Working Together
CCBC Receives 2013 “Healthcare Informatics Innovators Award”
“A massive effort to improve the health status of the entire New Orleans metropolitan area”
“What makes this collaboration worthy of Innovator Awards recognition is the combination of vision and scope on the one hand, and the successful leveraging of HIT to achieve those visionary goals, on the other”
-- Mark Hagland Editor-in-Chief, Healthcare Informatics
Contact:
Anjum Khurshid, PhD, MD, MPAffDirector Health Systems Division
Director Crescent City Beacon CommunityLouisiana Public Health Institute
1515 Poydras St, 1200 New Orleans, LA 70112Phone: 504-301-9800
Email: [email protected] www.lphi.org www.crescentcitybeacon.org
Jim McNamaraPresident & CEO
BioDistrict New Orleans
RECONNECTING NEW ORLEANS
A Sustainable Strategy for Job Growth,
Economic Development and Better Health Outcomes
BioDistrict
Iberville\Treme CNI
FrenchQuarter
CBD
Vision
BioDistrict New Orleans will become a thriving and highly livable business, education, science and healthcare destination, regarded throughout the City and the nation as the premier revitalized urban district of choice. The BioDistrict will be known for its walkable scale, new and historic neighborhoods, excellent schools and ecosystem support services, vibrant retail, accessible open space and transit, as well as a range of stable and well paying bioscience and healthcare industry jobs. The BioDistrict will become a national model for urban revitalization, job creation and economic and industry development.
10/12/12
Civic Leadership
Sustainably Built Environment
Jobs and training
Economic Development
An Amazing Collaboration working TOGETHER!
Research with Industry value
Bioscience Centers of Excellence Peptides HIV/AIDS Infectious Diseases Cancer Diabetes and Cardiovascular Biodefense Neuroprotection and
Rehabilitation Nano-particle Drug Delivery Health ITEmerging Centers Translational Medicine BioBanking
BioDistrict Areas of Concentration
• Economic Impacts— Over 20 years, the BioDistrict will
generate:
• 34,000 direct and indirect jobs created
• 3600 annual construction jobs
• $4 Billion in Capital Activity
• $24 Billion in Economic Activity
• $2.45 Billion in years 1-5
• $26.185 Billion in Personal Earnings
• $2 Billion in increased Personal
Earnings
• Economic Impacts— In 20 years, the BioDistrict will generate:
• $3.352 Bn in Sate and Local Tax
Generated, ($167 m per year)
• $1.91 Bn -- State tax - $95 Million
annually
• $1.44 Bn -- Local tax - $72 Million
annually
• 11.6 Million Square Feet of New,
Absorbed or Renovated Buildings
• 2,000+ Housing Units
Thank you!