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Current State of HIE




   January 29, 2013
Introduction

Assessing the “Current State of HIE” is more art than science
    •    One implication of the lack of uniform interoperability is that we don’t have the
         ability to measure across the industry
    •    Fragmented nature of the health care delivery industry, and the sheer size
         and heterogeneity of our country, make survey instruments and other
         research methods complex


Data gathered for this assessment is thus partly quantitative, where such data is
available, but mostly impressionistic
    •    Gathered input from a wide variety of individual experts and organizations
    •    Made up the rest……




                              Massachusetts eHealth Collaborative          © MAeHC. All rights reserved.
                                                                                                           -1-
The following organizations have been generous with their
                 time, data, and insights


  athenahealth                                     Informatics Corporation of America
  Atrius Health                                    Mayo Clinic
  Scott Barclay                                    Microsoft
  Beth Israel Deaconess Medical Center             ONC
  CMS                                              Quest Diagnostics
  Cerner                                           RelayHealth
  eClinicalWorks                                   Siemens Healthcare
  Epic                                             Surescripts




                            Massachusetts eHealth Collaborative          © MAeHC. All rights reserved.
                                                                                                         -2-
HIE is maturing


      HIE 1.0                                                     hie 2.0
• Focused on “the noun”                               • Focused on “the verb”
• Trying to solve “market failures”                   • Demand-driven -- trying to meet market
• Multi-entity governance, but often                    needs
  driven by third-party entities                      • More tactically focused to meet
• Strived to solve wide variety of rich use             immediate interoperability needs
  cases through comprehensive                         • Led by any organization that has
  interoperability                                      business need and ability to marshal
• Complex legal, business, and technical                financial, technical, and organizational
  requirements to support rich array of                 resources
  use cases                                           • Designed to fit within existing
• Tried to tackle policy issues to enable               legal, business, and technical
  business practices and technology                     constraints – technology out ahead of
  solutions                                             policy in some areas




                                Massachusetts eHealth Collaborative              © MAeHC. All rights reserved.
                                                                                                                 -3-
What is driving this transition?

Limited successes of the prior model


Bottom-up demand -- systems are not interoperable because not enough
customers asked for interoperability
    •    Meaningful Use incentives
    •    Value-based purchasing
    •    Market expectations about standards of care
    •    Younger provider expectations about use of technology
    •    Consumer expectations about use of technology


Supply-side
    •    EHR certification requirements – common denominator important in a
         fragmented industry
    •    Technology advancements in cloud services, mobile, broadband, storage,
         patient-matching capability, etc


                             Massachusetts eHealth Collaborative     © MAeHC. All rights reserved.
                                                                                                     -4-
hie 2.0 comes in many shapes and sizes



                 National level collaborative HIE organizations

                  State-level and regional collaborative HIE organizations

Level of          Enterprise-level HIE organizations
external
coordination      Transaction-specific national level
needed
                  Vendor-specific

                  Point-to-point

                  Point-to-patient




                              Massachusetts eHealth Collaborative   © MAeHC. All rights reserved.
                                                                                                    -5-
hie 2.0 comes in many shapes and sizes (2)


    Data integration               Document integration                    Visual integration


• Ability to export and import     • Ability to export and import         • Ability to provide view into
  structured data                    clinical documents                     another clinical system at
• Incorporate in EHR and           • Attach to patient record and           point-of-care
  usable for all EHR analytic        viewable                             • No exchange of data or
  and decision support                                                      documents
  functions


Essentially not                    Growing rapidly and likely to          Growing increasingly common
happening, except:                 increase even more with                to solve immediate need
 • Specific transaction streams    maturation of directed exchange        without interfacing and
   such as eRX and labs            capabilities                           application workflow redesign
 • Within EHR network, such as
   Epic and eCW
 • Sophisticated implementations
   such as Healtheway




                                    Massachusetts eHealth Collaborative              © MAeHC. All rights reserved.
                                                                                                                     -6-
National-level HIOs are most comprehensive HIE
                implementations


 •   Over 20 participants (4 federal) as of September 2011
 •   Over 90,000 transactions conducted
 •   HIE solution based on NHIN standards enabling send/receive and
     query/retrieve
 •   DURSA covering complete set of exchange patterns




 •   Five provider organizations (Geisinger, Kaiser, Mayo, Intermountain,
     Group Health)
 •   Complete solution based on NHIN standards enabling send/receive and
     query/retrieve


                       Massachusetts eHealth Collaborative        © MAeHC. All rights reserved.
                                                                                                  -7-
State-level collaborative HIE activity high in certain areas
         Directed transactions                         Query transactions

                          Monthly                                        Monthly
    State HIE Grantee                            State HIE Grantee
                        transactions                                   transactions
   Indiana                14,532,368           Indiana                      351,070
   Colorado                5,011,816           Texas                        215,005
   New York                3,322,812           New York                     101,748        14 million directed
   Minnesota               1,680,124           Kentucky                      92,387       exchanges per month
   Vermont                   889,700           South Carolina                50,515
   Delaware                  827,483           Delaware                      37,245
   Washington                138,422           Oklahoma                      32,015
   Michigan                   98,976           Colorado                      22,665
   Maryland                   48,655           Mississippi                   12,909
   Ohio                       35,359           Nebraska                       3,459
   Rhode Island               29,627           Tennessee                      3,254         3.2 million directed
   California                 28,439           Maryland                       3,223        exchanges per month
   Alaska                      3,701           Maine                          3,211
   Utah                        2,482           New Jersey                     1,601
42 remaining HIE activities had fewer than
                                               Utah                             454
1,000 monthly transactions                     Kansas                           302
                                               Minnesota                        208
                                               New Mexico                       165      200K+ directed exchanges
                                               Rhode Island                     130             per month
                                             37 remaining HIE activities had no query-
                                             based transactions
   Source: ONC HIE Dashboard
                                                   Massachusetts eHealth Collaborative           © MAeHC. All rights reserved.
                                                                                                                                 -8-
The growth in electronic prescribing is a huge HIE
                      success story, in terms of users…

                 Percent of physicians e-prescribing using an EHR in December 2008 and June 2012




Source: Hufstader M, Swain M, Furukawa MF. State Variation in E-Prescribing Trends in the United States. ONC Data Brief, no. 4.
Washington, DC: Office of the National Coordinator for Health Information Technology, November 2012.
                                                        Massachusetts eHealth Collaborative                           © MAeHC. All rights reserved.
                                                                                                                                                      -9-
…pharmacy infrastructure…
       Growth in the percent of pharmacies enabled to e-prescribe; December 2008 to June 2012, by state.
              Indiana
            Delaware
              Arizona
                Maine
     Massachusetts
       Rhode Island
       West Virginia
              Nevada
             Michigan
    New Hampshire
         New Mexico
      North Carolina
                  Ohio
              Georgia
            Kentucky
       Pennsylvania
             Alabama
            Colorado
                 Idaho
            Maryland
          New Jersey
            New York
              Oregon
              Virginia
            Wyoming
            Arkansas
               Florida
               Illinois
           Minnesota
             Missouri
             Vermont
District of Columbia
       United States
               Alaska
         Connecticut
          Mississippi
     South Carolina
                  Utah
               Hawaii
       North Dakota
           Oklahoma
          Tennessee
                Texas
         Washington
            California
              Kansas
            Nebraska
       South Dakota
           Wisconsin
                  Iowa
             Montana
            Louisiana

                          0%     10%         20%         30%        40%          50%    60%          70%       80%         90%           100%
                      Percent of Community Pharmacies Enabled in December 2008          Percent of Community Pharmacies Enabled in June 2012
Source: Hufstader M, Swain M, Furukawa MF. State Variation in E-Prescribing Trends in the United States. ONC Data Brief, no. 4.
Washington, DC: Office of the National Coordinator for Health Information Technology, November 2012.

                                                               Massachusetts eHealth Collaborative                            © MAeHC. All rights reserved.
                                                                                                                                                              - 10 -
…and prescriptions

                Volume of New and Renewal Prescriptions Sent Electronically in 2008 and 2012, by state.
                            New and        New and         Percentage                              New and         New and                Percentage
                            Renewals       Renewals           Point                                Renewals        Renewals                  Point
State                         2008           2012           Increase       State                     2008            2012                  Increase
United States                 4%              45%               41         Missouri                   4%              65%                       61
Alabama                       2%              35%               33         Montana                    1%              42%                       41
Alaska                        2%              33%               31         Nebraska                   2%              44%                       42
Arizona                       6%              50%               44         Nevada                     9%              34%                       25
Arkansas                      2%              40%               39         New Hampshire              3%              61%                       58
California                    3%              34%               31         New Jersey                 5%              31%                       27
Colorado                      4%              36%               32         New Mexico                 2%              45%                       43
Connecticut                   6%              42%               36         New York                   3%              41%                       37
Delaware                      7%              50%               43         North Carolina             6%              49%                       42
District of Columbia          3%              29%               27         North Dakota               0%              55%                       54
Florida                       4%              37%               33         Ohio                       4%              73%                       68
Georgia                       2%              37%               35         Oklahoma                   2%              41%                       39
Hawaii                        1%              40%               39         Oregon                     4%              54%                       50
Idaho                         4%              40%               35         Pennsylvania               6%              45%                       39
Illinois                      4%              44%               41         Rhode Island               17%             54%                       36
Indiana                       3%              45%               42         South Carolina             1%              38%                       37
Iowa                          2%              55%               53         South Dakota               1%              56%                       55
Kansas                        3%              46%               43         Tennessee                  4%              36%                       32
Kentucky                      3%              39%               36         Texas                      3%              41%                       38
Louisiana                     3%              27%               25         Utah                       1%              36%                       35
Maine                         6%              55%               49         Vermont                    4%              57%                       52
Maryland                      5%              40%               34         Virginia                   3%              42%                       39
Massachusetts                 20%             64%               44         Washington                 4%              51%                       47
Michigan                      8%              46%               37         West Virginia              3%              31%                       28
Minnesota                     4%              75%               72         Wisconsin                  2%              60%                       58
Mississippi                   1%              35%               34         Wyoming                    2%              36%                       34

  Source: Hufstader M, Swain M, Furukawa MF. State Variation in E-Prescribing Trends in the United States. ONC Data Brief, no. 4.
  Washington, DC: Office of the National Coordinator for Health Information Technology, November 2012.

                                                      Massachusetts eHealth Collaborative                           © MAeHC. All rights reserved.
                                                                                                                                                     - 11 -
Gaps remain, however, especially in the largest states
        Percent of new and renewal prescriptions sent
               electronically in 2012, by state.



                                                                                                Some causes of eRX gaps

                                                                                        Controlled substances

                                                                                        Prescription not suited to eRX

                                                                                        Patient preference

                                                                                        Mis-configuration – inadvertent faxing

                                                                                        eRX “dead-zones”




Source: Hufstader M, Swain M, Furukawa MF. State Variation in E-Prescribing Trends in the United States. ONC Data Brief, no. 4. Washington,
DC: Office of the National Coordinator for Health Information Technology, November 2012.
                                                      Massachusetts eHealth Collaborative                           © MAeHC. All rights reserved.
                                                                                                                                                    - 12 -
EHR vendors with high penetration generating large amount
              of vendor-specific HIE traffic




• Large majority of customers          • 16,743 providers using query-         • ~1.5 million query-based
  (200+) participating in query-         based exchange                          exchanges per month
  based exchanges                      • ~2.5 million new CCD records          • ~58.5 million directed
• Currently CCD/CDA query-               made available on query                 exchange transactions per
  based exchange is ~2.2                 exchange hubs or sent                   month (including HL7 lab
  million records for ~385K              directly to referral providers          result delivery)
  unique patients per month              per month
• Volume doubled over previous         • Processed over 75+ million
  year                                   lab result records in 2012
• Does not include HL7 directed
  exchange transactions



Source: Epic, eClinicalWorks, Cerner

                                         Massachusetts eHealth Collaborative              © MAeHC. All rights reserved.
                                                                                                                          - 13 -
Enterprise-level HIEs

Value-based purchasing initiatives (ACO, PCMH, hospital readmission penalties,
etc) are driving creation of enterprise-level HIE infrastructures


Sometimes enabled by vendor-specific networks in markets where major clinical
entities are using same EHR vendor
    •    Very few vendors have enough market penetration to make this feasible


Usually driven by IDN or hospital spearheading technological enablement of a
value-based purchasing model
    •    Building rich functionality in HIE platform to perform functions essential for
         risk management for value-based purchasing
    •    More nimble because do not have same collective action constraints as
         higher level collaborative HIE activities
           -   Designed to solve focused business needs
           -   Sustainability not a barrier to progress (yet) – often funded by
               hospital/IDN
           -   Building to fit within constraints of law and business practice


                               Massachusetts eHealth Collaborative          © MAeHC. All rights reserved.
                                                                                                            - 14 -
Point-to-point HIE
Point-to-point transactions require no third-party coordination or orchestration – all technical and legal and
business issues resolved between the transacting parties themselves


Currently vast majority of HIE traffic occurs as point-to-point transactions, namely, lab results delivery


Direct has a lot of promise, but not proven yet
      •      How EHR vendors implement Direct per MU Stage 2 requirements will determine whether it is
             paradigm-breaking or just another little used standard


“If Rishel and McCallie are right”, Direct transactions will asymptotically approach point-to-point
architecture
      •      Shrink need for intermediaries over time and allow end-users to transact universally without regard to
             network or EHR system
      •      In the short run, role of intermediary HISPs still taking shape and have not yet merged into the
             background


Visual integration is fast growing type of point-to-point HIE
      •      Tactical, easily deployable solution that is relatively easy to implement and integrate into clinical
             workflows
      •      Solves immediate need for rich information at the point-of-care
      •      According to Orion Health, this is fastest growing type of integration among their HIE customers
      •      Epic, eClinicalWorks, Beth Israel Deaconess, Atrius Health have made wide use of this mode of
             interoperability

                                          Massachusetts eHealth Collaborative                         © MAeHC. All rights reserved.
                                                                                                                                      - 15 -
Lab Market Is Highly Fragmented


          7%       116,634 physician office laboratories                  • Fragmentation may be increasing
                                                                            as hospitals increase lab business
                                                                            to offset revenue decreases in
                                                                            other areas
         33%       5,604 commercial labs
                                                                          • Fragmentation makes it difficult to
                      • Quest: ~30%
                                                                            generate collective action for a
                      • LabCorp: ~20%
                      • Only Quest and LabCorp cover the
                                                                            national lab network like
                        entire US                                           Surescripts
                      • Next largest, Spectra, covers 1/3 of US
                        counties and county-equivalents                   • Meaningful Use is the only
                                                                            industry-wide force driving
                                                                            standardization of lab results
                                                                            delivery
         60%       8,807 hospital labs
                                                                          • High fragmentation of lab market
                                                                            makes it difficult to measure
                                                                            progress of electronic transactions
                                                                          • ONC is now fielding national lab
                                                                            survey
  % of labs conducted

Source: Quest Diagnostics 2009 Annual Report; CMS CLIA Update July 2012
Large fraction of lab results delivery still via fax and paper


    % lab electronic lab results



                                              • Progress in electronic results
                                                delivery tied to EHR penetration
                                              • Interface implementation is
                                                significant barrier to progress –
                                                lack of standardization and
             90%         Paper/fax delivery
                                                competing priorities
                                              • MU Stage 2 may not be enough of
                                                a spur to significantly increase
                                                electronic delivery from hospitals –
                                                does not require electronic delivery
                                                and standardization of electronic
                                                delivery is menu set item
             10%         HL7 interfaces

~585 million lab results delivered by
   Cerner customers per month


Source: Cerner Corporation
Large fraction of lab results delivery still via fax and paper


                                                                      • athenahealth has unique data
 % lab electronic lab results
                                                                        because they track ALL lab result
                                                                        reports delivered to their customers
                                                                      • Small number of labs account for
                        Not interfaced with ~6800 labs
            38%         • ~3,400 fax                                    majority of electronic results
                        • ~3,400 paper, portal, etc
                                                                      • Effort required for interface
                                                                        deployment is barrier both on the
                                                                        lab side as well as on EHR vendor
                                                                        side
                                                                      • athenahealth completing about 15
                                                                        new lab interfaces per month
            62%         HL7 interfaces with ~600 labs
                                                                      • Large practices have higher lab
                                                                        interface rate (68%) than small
                                                                        practices (56%) who get lower
                                                                        priority from labs -- commercial
                                                                        labs do not cover cost of interfaces
  Analysis of 29 million lab result records                             to small practices
   received by athenahealth customers


 Source: athenahealth
                                          Massachusetts eHealth Collaborative                © MAeHC. All rights reserved.
                                                                                                                             - 18 -
Large gap in LOINC-mapping capabilities


  % LOINC-encoded labs
                                                                     • Vast majority of labs do not send
                                                                       LOINC-encoded results
                                                                     • 1 national lab does, another
                                                                       national lab can but currently does
                                                                       not because has not been asked to
           76%         ~599 labs send results with
                       proprietary codes                             • Large commercial labs capable of
                                                                       LOINC-encoding, however, vast
                                                                       majority of hospitals are not and
                                                                       will take significant effort to get
                                                                       them there
                                                                     • MU Stage 2 may not provide
                                                                       enough of a spur given difficulty of
           24%         Only 1 lab sends LOINC-
                                                                       effort, allowed variation in state
                       encoded results
                                                                       public health requirements, and
                                                                       competing priorities
 Analysis of 29 million lab result records
  received by athenahealth customers


Source: athenahealth
                                         Massachusetts eHealth Collaborative                © MAeHC. All rights reserved.
                                                                                                                            - 19 -
Point-to-Patient

EHR vendor patient portals command largest market share of market for patient-facing
applications, for example:
     •     eClinicalWorks: over 8 million patients on patient portal, in 2012, over 16 million secure
           message transactions conducted between patients and providers
     •     Epic: does not release patient portal information per customer
           contracts, however, Kaiser alone reports over 4 million patients and over 13 million
           secure email transactions between patients and providers in 2012


Patient-controlled applications not able to get large traction without greater impetus from
providers and EHR vendors
     •     HealthVault has over 1 million customers
     •     Some providers and EHRs automate upload of clinical data to Microsoft HealthVault, for
           example
     •     Blue button and Stage 2 MU may open door for greater demand from providers and
           consumers


Large growth in tools for patient-generated data – now treated as a separate silo, but will
likely become an extension of our health care system very soon




                                   Massachusetts eHealth Collaborative               © MAeHC. All rights reserved.
                                                                                                                     - 20 -
Conclusions
HIE activity is starting to flourish


Heterogeneity will be the hallmark of HIE activity in the coming years


Multi-layered HIE modes seem to be developing as business practices mature
      •      “B2B”-style patterns to move documents around with little to no centralized coordination – Direct and
             Directed Query
      •      “Supply-chain” style patterns with deep integration among very closely aligned entities seeking
             centralized orchestration for rich applications to support complex uses


With MU Stage 2 and CMS ACO initiatives, seedbed has been laid to allow many HIE areas to proliferate on
their own
      •      Allow the market to develop norms and business practices around what has been put in place
      •      3 areas where more policy & standards are needed to spur market innovation
                 -    Labs – organic motivation for standardization difficult in current market structure
                 -    Lightweight “Directed Query” – ability to have cross-system query without having to deploy
                      elaborate legal and technical infrastructure
                 -    eMeasures and eCPOE – enable enterprise-level dispersal of measure and decision support
                      algorithms to give leverage to ACOs
      •      1 area to keep a close eye on
                 -    Highly constrained core data set and exportable/importable CCDA
                 -    MU Stage 2 defines this, but need to see how the market responds


                                          Massachusetts eHealth Collaborative                        © MAeHC. All rights reserved.
                                                                                                                                     - 21 -

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Current State of HIE

  • 1. Current State of HIE January 29, 2013
  • 2. Introduction Assessing the “Current State of HIE” is more art than science • One implication of the lack of uniform interoperability is that we don’t have the ability to measure across the industry • Fragmented nature of the health care delivery industry, and the sheer size and heterogeneity of our country, make survey instruments and other research methods complex Data gathered for this assessment is thus partly quantitative, where such data is available, but mostly impressionistic • Gathered input from a wide variety of individual experts and organizations • Made up the rest…… Massachusetts eHealth Collaborative © MAeHC. All rights reserved. -1-
  • 3. The following organizations have been generous with their time, data, and insights athenahealth Informatics Corporation of America Atrius Health Mayo Clinic Scott Barclay Microsoft Beth Israel Deaconess Medical Center ONC CMS Quest Diagnostics Cerner RelayHealth eClinicalWorks Siemens Healthcare Epic Surescripts Massachusetts eHealth Collaborative © MAeHC. All rights reserved. -2-
  • 4. HIE is maturing HIE 1.0 hie 2.0 • Focused on “the noun” • Focused on “the verb” • Trying to solve “market failures” • Demand-driven -- trying to meet market • Multi-entity governance, but often needs driven by third-party entities • More tactically focused to meet • Strived to solve wide variety of rich use immediate interoperability needs cases through comprehensive • Led by any organization that has interoperability business need and ability to marshal • Complex legal, business, and technical financial, technical, and organizational requirements to support rich array of resources use cases • Designed to fit within existing • Tried to tackle policy issues to enable legal, business, and technical business practices and technology constraints – technology out ahead of solutions policy in some areas Massachusetts eHealth Collaborative © MAeHC. All rights reserved. -3-
  • 5. What is driving this transition? Limited successes of the prior model Bottom-up demand -- systems are not interoperable because not enough customers asked for interoperability • Meaningful Use incentives • Value-based purchasing • Market expectations about standards of care • Younger provider expectations about use of technology • Consumer expectations about use of technology Supply-side • EHR certification requirements – common denominator important in a fragmented industry • Technology advancements in cloud services, mobile, broadband, storage, patient-matching capability, etc Massachusetts eHealth Collaborative © MAeHC. All rights reserved. -4-
  • 6. hie 2.0 comes in many shapes and sizes National level collaborative HIE organizations State-level and regional collaborative HIE organizations Level of Enterprise-level HIE organizations external coordination Transaction-specific national level needed Vendor-specific Point-to-point Point-to-patient Massachusetts eHealth Collaborative © MAeHC. All rights reserved. -5-
  • 7. hie 2.0 comes in many shapes and sizes (2) Data integration Document integration Visual integration • Ability to export and import • Ability to export and import • Ability to provide view into structured data clinical documents another clinical system at • Incorporate in EHR and • Attach to patient record and point-of-care usable for all EHR analytic viewable • No exchange of data or and decision support documents functions Essentially not Growing rapidly and likely to Growing increasingly common happening, except: increase even more with to solve immediate need • Specific transaction streams maturation of directed exchange without interfacing and such as eRX and labs capabilities application workflow redesign • Within EHR network, such as Epic and eCW • Sophisticated implementations such as Healtheway Massachusetts eHealth Collaborative © MAeHC. All rights reserved. -6-
  • 8. National-level HIOs are most comprehensive HIE implementations • Over 20 participants (4 federal) as of September 2011 • Over 90,000 transactions conducted • HIE solution based on NHIN standards enabling send/receive and query/retrieve • DURSA covering complete set of exchange patterns • Five provider organizations (Geisinger, Kaiser, Mayo, Intermountain, Group Health) • Complete solution based on NHIN standards enabling send/receive and query/retrieve Massachusetts eHealth Collaborative © MAeHC. All rights reserved. -7-
  • 9. State-level collaborative HIE activity high in certain areas Directed transactions Query transactions Monthly Monthly State HIE Grantee State HIE Grantee transactions transactions Indiana 14,532,368 Indiana 351,070 Colorado 5,011,816 Texas 215,005 New York 3,322,812 New York 101,748 14 million directed Minnesota 1,680,124 Kentucky 92,387 exchanges per month Vermont 889,700 South Carolina 50,515 Delaware 827,483 Delaware 37,245 Washington 138,422 Oklahoma 32,015 Michigan 98,976 Colorado 22,665 Maryland 48,655 Mississippi 12,909 Ohio 35,359 Nebraska 3,459 Rhode Island 29,627 Tennessee 3,254 3.2 million directed California 28,439 Maryland 3,223 exchanges per month Alaska 3,701 Maine 3,211 Utah 2,482 New Jersey 1,601 42 remaining HIE activities had fewer than Utah 454 1,000 monthly transactions Kansas 302 Minnesota 208 New Mexico 165 200K+ directed exchanges Rhode Island 130 per month 37 remaining HIE activities had no query- based transactions Source: ONC HIE Dashboard Massachusetts eHealth Collaborative © MAeHC. All rights reserved. -8-
  • 10. The growth in electronic prescribing is a huge HIE success story, in terms of users… Percent of physicians e-prescribing using an EHR in December 2008 and June 2012 Source: Hufstader M, Swain M, Furukawa MF. State Variation in E-Prescribing Trends in the United States. ONC Data Brief, no. 4. Washington, DC: Office of the National Coordinator for Health Information Technology, November 2012. Massachusetts eHealth Collaborative © MAeHC. All rights reserved. -9-
  • 11. …pharmacy infrastructure… Growth in the percent of pharmacies enabled to e-prescribe; December 2008 to June 2012, by state. Indiana Delaware Arizona Maine Massachusetts Rhode Island West Virginia Nevada Michigan New Hampshire New Mexico North Carolina Ohio Georgia Kentucky Pennsylvania Alabama Colorado Idaho Maryland New Jersey New York Oregon Virginia Wyoming Arkansas Florida Illinois Minnesota Missouri Vermont District of Columbia United States Alaska Connecticut Mississippi South Carolina Utah Hawaii North Dakota Oklahoma Tennessee Texas Washington California Kansas Nebraska South Dakota Wisconsin Iowa Montana Louisiana 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Percent of Community Pharmacies Enabled in December 2008 Percent of Community Pharmacies Enabled in June 2012 Source: Hufstader M, Swain M, Furukawa MF. State Variation in E-Prescribing Trends in the United States. ONC Data Brief, no. 4. Washington, DC: Office of the National Coordinator for Health Information Technology, November 2012. Massachusetts eHealth Collaborative © MAeHC. All rights reserved. - 10 -
  • 12. …and prescriptions Volume of New and Renewal Prescriptions Sent Electronically in 2008 and 2012, by state. New and New and Percentage New and New and Percentage Renewals Renewals Point Renewals Renewals Point State 2008 2012 Increase State 2008 2012 Increase United States 4% 45% 41 Missouri 4% 65% 61 Alabama 2% 35% 33 Montana 1% 42% 41 Alaska 2% 33% 31 Nebraska 2% 44% 42 Arizona 6% 50% 44 Nevada 9% 34% 25 Arkansas 2% 40% 39 New Hampshire 3% 61% 58 California 3% 34% 31 New Jersey 5% 31% 27 Colorado 4% 36% 32 New Mexico 2% 45% 43 Connecticut 6% 42% 36 New York 3% 41% 37 Delaware 7% 50% 43 North Carolina 6% 49% 42 District of Columbia 3% 29% 27 North Dakota 0% 55% 54 Florida 4% 37% 33 Ohio 4% 73% 68 Georgia 2% 37% 35 Oklahoma 2% 41% 39 Hawaii 1% 40% 39 Oregon 4% 54% 50 Idaho 4% 40% 35 Pennsylvania 6% 45% 39 Illinois 4% 44% 41 Rhode Island 17% 54% 36 Indiana 3% 45% 42 South Carolina 1% 38% 37 Iowa 2% 55% 53 South Dakota 1% 56% 55 Kansas 3% 46% 43 Tennessee 4% 36% 32 Kentucky 3% 39% 36 Texas 3% 41% 38 Louisiana 3% 27% 25 Utah 1% 36% 35 Maine 6% 55% 49 Vermont 4% 57% 52 Maryland 5% 40% 34 Virginia 3% 42% 39 Massachusetts 20% 64% 44 Washington 4% 51% 47 Michigan 8% 46% 37 West Virginia 3% 31% 28 Minnesota 4% 75% 72 Wisconsin 2% 60% 58 Mississippi 1% 35% 34 Wyoming 2% 36% 34 Source: Hufstader M, Swain M, Furukawa MF. State Variation in E-Prescribing Trends in the United States. ONC Data Brief, no. 4. Washington, DC: Office of the National Coordinator for Health Information Technology, November 2012. Massachusetts eHealth Collaborative © MAeHC. All rights reserved. - 11 -
  • 13. Gaps remain, however, especially in the largest states Percent of new and renewal prescriptions sent electronically in 2012, by state. Some causes of eRX gaps Controlled substances Prescription not suited to eRX Patient preference Mis-configuration – inadvertent faxing eRX “dead-zones” Source: Hufstader M, Swain M, Furukawa MF. State Variation in E-Prescribing Trends in the United States. ONC Data Brief, no. 4. Washington, DC: Office of the National Coordinator for Health Information Technology, November 2012. Massachusetts eHealth Collaborative © MAeHC. All rights reserved. - 12 -
  • 14. EHR vendors with high penetration generating large amount of vendor-specific HIE traffic • Large majority of customers • 16,743 providers using query- • ~1.5 million query-based (200+) participating in query- based exchange exchanges per month based exchanges • ~2.5 million new CCD records • ~58.5 million directed • Currently CCD/CDA query- made available on query exchange transactions per based exchange is ~2.2 exchange hubs or sent month (including HL7 lab million records for ~385K directly to referral providers result delivery) unique patients per month per month • Volume doubled over previous • Processed over 75+ million year lab result records in 2012 • Does not include HL7 directed exchange transactions Source: Epic, eClinicalWorks, Cerner Massachusetts eHealth Collaborative © MAeHC. All rights reserved. - 13 -
  • 15. Enterprise-level HIEs Value-based purchasing initiatives (ACO, PCMH, hospital readmission penalties, etc) are driving creation of enterprise-level HIE infrastructures Sometimes enabled by vendor-specific networks in markets where major clinical entities are using same EHR vendor • Very few vendors have enough market penetration to make this feasible Usually driven by IDN or hospital spearheading technological enablement of a value-based purchasing model • Building rich functionality in HIE platform to perform functions essential for risk management for value-based purchasing • More nimble because do not have same collective action constraints as higher level collaborative HIE activities - Designed to solve focused business needs - Sustainability not a barrier to progress (yet) – often funded by hospital/IDN - Building to fit within constraints of law and business practice Massachusetts eHealth Collaborative © MAeHC. All rights reserved. - 14 -
  • 16. Point-to-point HIE Point-to-point transactions require no third-party coordination or orchestration – all technical and legal and business issues resolved between the transacting parties themselves Currently vast majority of HIE traffic occurs as point-to-point transactions, namely, lab results delivery Direct has a lot of promise, but not proven yet • How EHR vendors implement Direct per MU Stage 2 requirements will determine whether it is paradigm-breaking or just another little used standard “If Rishel and McCallie are right”, Direct transactions will asymptotically approach point-to-point architecture • Shrink need for intermediaries over time and allow end-users to transact universally without regard to network or EHR system • In the short run, role of intermediary HISPs still taking shape and have not yet merged into the background Visual integration is fast growing type of point-to-point HIE • Tactical, easily deployable solution that is relatively easy to implement and integrate into clinical workflows • Solves immediate need for rich information at the point-of-care • According to Orion Health, this is fastest growing type of integration among their HIE customers • Epic, eClinicalWorks, Beth Israel Deaconess, Atrius Health have made wide use of this mode of interoperability Massachusetts eHealth Collaborative © MAeHC. All rights reserved. - 15 -
  • 17. Lab Market Is Highly Fragmented 7% 116,634 physician office laboratories • Fragmentation may be increasing as hospitals increase lab business to offset revenue decreases in other areas 33% 5,604 commercial labs • Fragmentation makes it difficult to • Quest: ~30% generate collective action for a • LabCorp: ~20% • Only Quest and LabCorp cover the national lab network like entire US Surescripts • Next largest, Spectra, covers 1/3 of US counties and county-equivalents • Meaningful Use is the only industry-wide force driving standardization of lab results delivery 60% 8,807 hospital labs • High fragmentation of lab market makes it difficult to measure progress of electronic transactions • ONC is now fielding national lab survey % of labs conducted Source: Quest Diagnostics 2009 Annual Report; CMS CLIA Update July 2012
  • 18. Large fraction of lab results delivery still via fax and paper % lab electronic lab results • Progress in electronic results delivery tied to EHR penetration • Interface implementation is significant barrier to progress – lack of standardization and 90% Paper/fax delivery competing priorities • MU Stage 2 may not be enough of a spur to significantly increase electronic delivery from hospitals – does not require electronic delivery and standardization of electronic delivery is menu set item 10% HL7 interfaces ~585 million lab results delivered by Cerner customers per month Source: Cerner Corporation
  • 19. Large fraction of lab results delivery still via fax and paper • athenahealth has unique data % lab electronic lab results because they track ALL lab result reports delivered to their customers • Small number of labs account for Not interfaced with ~6800 labs 38% • ~3,400 fax majority of electronic results • ~3,400 paper, portal, etc • Effort required for interface deployment is barrier both on the lab side as well as on EHR vendor side • athenahealth completing about 15 new lab interfaces per month 62% HL7 interfaces with ~600 labs • Large practices have higher lab interface rate (68%) than small practices (56%) who get lower priority from labs -- commercial labs do not cover cost of interfaces Analysis of 29 million lab result records to small practices received by athenahealth customers Source: athenahealth Massachusetts eHealth Collaborative © MAeHC. All rights reserved. - 18 -
  • 20. Large gap in LOINC-mapping capabilities % LOINC-encoded labs • Vast majority of labs do not send LOINC-encoded results • 1 national lab does, another national lab can but currently does not because has not been asked to 76% ~599 labs send results with proprietary codes • Large commercial labs capable of LOINC-encoding, however, vast majority of hospitals are not and will take significant effort to get them there • MU Stage 2 may not provide enough of a spur given difficulty of 24% Only 1 lab sends LOINC- effort, allowed variation in state encoded results public health requirements, and competing priorities Analysis of 29 million lab result records received by athenahealth customers Source: athenahealth Massachusetts eHealth Collaborative © MAeHC. All rights reserved. - 19 -
  • 21. Point-to-Patient EHR vendor patient portals command largest market share of market for patient-facing applications, for example: • eClinicalWorks: over 8 million patients on patient portal, in 2012, over 16 million secure message transactions conducted between patients and providers • Epic: does not release patient portal information per customer contracts, however, Kaiser alone reports over 4 million patients and over 13 million secure email transactions between patients and providers in 2012 Patient-controlled applications not able to get large traction without greater impetus from providers and EHR vendors • HealthVault has over 1 million customers • Some providers and EHRs automate upload of clinical data to Microsoft HealthVault, for example • Blue button and Stage 2 MU may open door for greater demand from providers and consumers Large growth in tools for patient-generated data – now treated as a separate silo, but will likely become an extension of our health care system very soon Massachusetts eHealth Collaborative © MAeHC. All rights reserved. - 20 -
  • 22. Conclusions HIE activity is starting to flourish Heterogeneity will be the hallmark of HIE activity in the coming years Multi-layered HIE modes seem to be developing as business practices mature • “B2B”-style patterns to move documents around with little to no centralized coordination – Direct and Directed Query • “Supply-chain” style patterns with deep integration among very closely aligned entities seeking centralized orchestration for rich applications to support complex uses With MU Stage 2 and CMS ACO initiatives, seedbed has been laid to allow many HIE areas to proliferate on their own • Allow the market to develop norms and business practices around what has been put in place • 3 areas where more policy & standards are needed to spur market innovation - Labs – organic motivation for standardization difficult in current market structure - Lightweight “Directed Query” – ability to have cross-system query without having to deploy elaborate legal and technical infrastructure - eMeasures and eCPOE – enable enterprise-level dispersal of measure and decision support algorithms to give leverage to ACOs • 1 area to keep a close eye on - Highly constrained core data set and exportable/importable CCDA - MU Stage 2 defines this, but need to see how the market responds Massachusetts eHealth Collaborative © MAeHC. All rights reserved. - 21 -