2019 HIE Survey DRAFT RESULTS 4.16 - Orion Health · 2019 HIE Survey DRAFT RESULTS –4.16.19. 2...
Transcript of 2019 HIE Survey DRAFT RESULTS 4.16 - Orion Health · 2019 HIE Survey DRAFT RESULTS –4.16.19. 2...
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2019 HIE Survey
DRAFT RESULTS – 4.16.19
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Background on Survey
▪ Administered February 19, 2019 – April 12, 2019 through SurveyMonkey Link
▪ Responses fielded through Constant Contact and personal Microsoft Outlook emails. eHIstaff made numerous follow-up calls to those on list.
▪ Almost 90 initial respondents
▪ 53 validated for completeness andname/title/organization
▪ Still reviewing data
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Demographics of Respondents
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DRAFT – Preliminary Results
States Participating in Survey
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States with at least one respondent
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DRAFT – Preliminary Results
Organizational Structure (Self-Described)
5
20
12
2
32
Organizational Structure Choices
Responses (Could select more than one)
Regional or community 60% 32
State-designated 38% 20
Private/Proprietary 23% 12
Hybrid 4% 2
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DRAFT – Preliminary Results
How many payers participate in your exchange?
6
20
12
2
32Number of Payers
in HIE Responses
0 15% 8
1 -3 34% 18
4-10 38% 20
11 or more 13% 7
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DRAFT – Preliminary Results
How many members are represented by payers in the HIEs?
7
20
12
2
32
7
8
18
20
20
7
Answer Choices Responses
< 1 Million 34% 18
1 - 3 Million 23% 12
More than 3 Million but less than 5 Million 9% 5
5 - 10 Million 15% 8
> 10 Million 0% 0
Not sure 19% 10
Answered 53
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Respondents Organized by Participating Payers
Zero
▪ Clinical Connect HIE
▪ CommunityHealth IT
▪ HealthLINC
▪ HealthLinkNY
▪ Lewis and Clark Information Exchange
▪ Lincoln Land HIE
▪ Rio Grande Valley HIE
▪ SCHIEx
1-3
▪ Coastal Connect HIE
▪ ConnectHealthcare
▪ DHIN
▪ etHIN
▪ healtheConnect Alaska
▪ HealtheConnections
▪ HealthInfoNet
▪ Idaho Health Data Exchange
▪ Iowa HIN
▪ Massachusetts eHealth Institute
▪ Mass HIway
▪ North Dakota Health Information Network
▪ Paso del Norte HIE
▪ Quality Health Network
▪ Rochester RHIO
▪ South Dakota Health Link
▪ UP Health Care Solutions
▪ Wyoming Department of Health
4-10
▪ CORHIO
▪ Great Lakes Health Connect
▪ HASA
▪ Hawaii HIE
▪ HEALTHeLINK
▪ HealthShare Exchange
▪ Indiana HIE
▪ Keystone HIE
▪ Kansas HIN
▪ Michiana HIN
▪ MO Health Connection
▪ MyHealth Access Network
▪ NEHII
▪ New Mexico Health Information Collaborative
▪ Ohio Health Information Partnership
▪ Arkansas Office of HIT
▪ OneHealthPort
▪ San Diego Health Connect
▪ Utah HIN
▪ West Virginia Health Information Network
11 or More
▪ Agency for Health Care Administration
▪ CRISP
▪ Greater Houston Healthconnect
▪ Health Current
▪ Healthix
▪ The Health Collaborative
▪ WISHIN
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Respondents Organized by Number of Members
Less than 1 million
▪ Arkansas Office of HIT
▪ CommunityHealth IT
▪ ConnectHealthcare
▪ etHIN
▪ healtheConnect Alaska
▪ HealthInfoNet
▪ HealthLinkNY
▪ Idaho Health Data Exchange
▪ Iowa HIN
▪ Michiana HIN
▪ New Mexico Health Information Collaborative
▪ North Dakota Health Information Network
▪ Paso del Norte HIE
▪ Quality Health Network
▪ South Dakota Health Link
▪ UP Health Care Solutions
▪ Wyoming Department of Health
▪ West Virginia Health Information Network
1-3 million
▪ HASA
▪ Hawaii HIE
▪ HealtheConnections
▪ HEALTHeLINK
▪ Kansas HIN
▪ Massachusetts eHealth Institute
▪ Mass HIway
▪ MyHealth Access Network
▪ NEHII
▪ Rochester RHIO
▪ Utah HIN
▪ WISHIN
3< and >5 million
▪ CORHIO
▪ Indiana HIE
▪ OneHealthPort
▪ San Diego Health Connect
▪ The Health Collaborative
5-10 million
▪ Agency for Health Care Administration (FL)
▪ CRISP
▪ Greater Houston Healthconnect
▪ Health Current
▪ Healthix
▪ HealthShare Exchange
▪ Keystone HIE
▪ Ohio Health Information Partnership
Not Sure
▪ Clinical Connect HIE
▪ Coastal Connect HIE
▪ DHIN
▪ Great Lakes Health Connect
▪ HealthLINC
▪ Lewis and Clark Information Exchange
▪ Lincoln Land HIE
▪ MO Health Connection
▪ Rio Grande Valley HIE
▪ SCHIEx
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Business Drivers & Challenges
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DRAFT – Preliminary Results
Biggest Business Drivers
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20
12
2
32
7
8
18
20
20
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Answer Choices Responses
Desire of stakeholders to manage risk and deliver on value-based care contracts 58% 31
Easier integration through APIs, FHIR, etc 47% 25
Provide clear value to end users such as care transition management and medication reconciliation 47% 25
Incentives from government agencies including CMS, state, and local authorities 34% 18
Increased demand for population health analytics tools 32% 17
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DRAFT – Preliminary Results
"Value-based care trends influence my decisions about technology adoption."
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20
12
2
32
of respondents somewhat or completely agree with this statement
92%
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DRAFT – Preliminary Results
Top Priorities inNext Two Years
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Answer Choices Responses
Enhance interoperability 47% 25
Support value-based care 43% 23
Integrate EMR and HIE workflows 40% 21Integrate non-traditional types of data like genomics and social 34% 18
Enhance care coordination 34% 18
Long term sustainability, financial viability 32% 17
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DRAFT – Preliminary Results
Top Challenges Rated Significant or Very Significant
• Price/Cost (88%)
• Competing priorities (78%)
• Enhanced utilization and optimization of the solution (75%)
• Adaptability of the technology (61%)
• Technical Challenges (43%)
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DRAFT – Preliminary Results
Technology Budgets Increasing
• 74% said their technology budget will likely increase over the next two years
• 14% said it will decrease
• 12% said no change
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Integrating Claims & Clinical Data
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DRAFT – Preliminary Results
How many HIEs have the capability to integrate claims and clinical data?
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60% able to integrate
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DRAFT – Preliminary Results
How many HIEs have the capability to integrate claims and clinical data?
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85% of the 3-10 million group (n=12) are able to integrate
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DRAFT – Preliminary Results
How many HIEs have the capability to integrate claims and clinical data?
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Half of the 3 million and below group (n= 30) are still unable to
integrate clinical and claims data
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DRAFT – Preliminary Results
Top Challenges Rated as Significant or Very Significant
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• Data quality issues (60%)• Cost of technology (58%)• Availability of qualified staff (53%)• Claims data not available (46%)• Privacy/Security policies that limit
transactions (43%)
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DRAFT – Preliminary Results
Have Seen a Significant or Very Significant Increase in Demand From
Payers for More Access to Clinical Data
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67%
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Services Offered
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DRAFT – Preliminary Results
Technology Currently Already Adopted
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We have already adopted this technology
Provider alerts 77% 40
HIE to HIE exchange 72% 38
Care coordination tools 40% 21
E-referrals/E-consults 21% 11
All payer claims database 15% 8
Medication reconciliation 11% 6
Remote patient monitoring 6% 3
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DRAFT – Preliminary Results
Services Likely to be Offered in Next Two Years
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Not likely or Not very likely Somewhat likely
Likely or Very Likely
We have already adopted
this technology
Provider alerts 2% 0% 19% 77%HIE to HIE exchange 4% 2% 19% 72%Care coordination tools 4% 11% 40% 40%E-referrals/E-consults 6% 28% 30% 21%All payer claims database 21% 15% 19% 15%Medication reconciliation 8% 30% 34% 11%Remote patient monitoring 40% 13% 17% 6%
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DRAFT – Preliminary Results
The Services they are Providing to Payers are Valuable or Very Valuable
25
84%
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Data Exchanged
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DRAFT – Preliminary Results
Deep Dive – Care Coordination
Care Coordination is a priority for all size groups• HIEs in the 5-10 million members group have already
adopted this (88%) (n=8)
• Only a quarter of the 3-5 million members group have already adopted, but the remaining 75% are likely or likely to offer the service in the next two years (n=5)
• Only a quarter of the 1-3 million members group have already adopted, but another half are likely or very likely to adopt in the next two years (n=12)
• The less than 1 million members group is ahead of the game with 41% already adopting coordination and 59% reporting they are likely or very likely to adopt (n=18)
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DRAFT – Preliminary Results
Deep Dive – All Payer Claims Database
• 63% of the 5-10 million members group have already adopted this and 25% are somewhat likely to adopt in the next two years (n=8)
• None of the HIEs in the 3-5 million members group have already adopted but half are likely or very likely to offer, while the other half are not likely or not very likely (n=5)
• Very few of the less than 3 million members group have already adopted (7%), and only 13% are likely or very likely to offer in the next two years. 50% said they are not very or not likely to adopt in the next two years (n=30)
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DRAFT – Preliminary Results
Deep Dive –Remote Patient Monitoring
• Of the 5-10 million members group, only 29% have already adopted this and 14% will be likely or very likely to offer in the next two years. Overwhelmingly, 57% say they are not likely or not very likely to offer (n=8)
• 100% HIEs in the 3-5 million members are not likely or not very likely to adopt remote patient monitoring in the next two years (n=5)
• 50% of those in the less than 3 million members group are also not likely to adopt in the next two years (n=30)
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DRAFT – Preliminary Results
Size Matters in Behavioral Health Data Exchange
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▪ Of the HIEs whose payers represent up to 3 million members, two-thirds (66%) are experiencing difficulty in exchanging behavioral health data (n=30)
▪ 75% of HIEs with a bigger proportion of members represented by payers (3-10 million) did not report behavioral health data as difficult to exchange (n=12)
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DRAFT – Preliminary Results
Quality Reporting Less Difficult for Smaller HIEs
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▪ Half of HIEs with 3-10 million members represented by the payers in their exchange (50%) are having difficulty exchanging quality reporting data (n=12)
▪ Of the HIEs whose payers represent up to 3 million members, very few are having difficulty with this data (13%) (n=30)
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DRAFT – Preliminary Results
Social Determinants of Health Data is Hard
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▪ Across all organization sizes, HIEs are experiencing difficulty in exchanging Social Determinants of Health (SDOH) Data (52%)
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DRAFT – Preliminary Results
Deep Dive - Medications Filled
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▪ A larger proportion of HIEs with 5-10 million members represented by payers (50%) are having trouble with medications filled data compared with those in the less than 1 million group (33%); 1-3 million group (25%); and more than 3 million but less than 5 million group (25%)
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DRAFT – Preliminary Results34
Radiology imaging studies are less difficult. Only 15% report difficulty
exchanging this data.
Progress in Exchanging Radiology Images
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Other Points
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DRAFT – Preliminary Results
Predicted Impact of TEFCA on Interoperability
• 60% said significant or very significant
• 25% said somewhat significant
• 15% said not significant or not very significant
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DRAFT – Preliminary Results
Participation in SHIEC, eHealth Exchange, Direct Trust, SHIEC PCDH, Carequality,
and CommonWell
37
20
12
2
32
Answer Choices Responses
SHIEC 85% 44
eHealth Exchange 79% 41
Direct Trust 69% 36
SHIEC Patient Centered Data Home (PCDH) 58% 30
Carequality 15% 8
CommonWell 6% 3
None of the above 4% 2
Answered 52
Skipped 1
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DRAFT – Preliminary Results
Next Steps
• Answer additional questions from Orion
• Finalize cleaning raw data
• Drafting conclusions about the data
• Preparing report – within two weeks
• Identify speakers from respondent list
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