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Special Presentation Increasing Value, Lowering Burden: Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information Systems (IIS) August 9, 2018 1 August 9, 2018

Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

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Page 1: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

Special Presentation

Increasing Value, Lowering Burden:

Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information Systems (IIS)

August 9, 2018

1

August 9, 2018

Page 2: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

https://www.cdc.gov/ehrmeaningfuluse/joint-public-health-forum--cdc-nationwide.html

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Page 3: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

Question and Answer SessionHow to submit or ask questions for the panel members?

Submit or Ask Questions

Submit your text question and comments using the Question Panel

Please raise your hand to be unmuted for verbal questions.

3

9/17/2018

Page 4: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

Webinar Schedule for August 2018

******Special Notice*****Due to the upcoming PHI conference scheduled for August 19, 2018- August 23, 2018, we

have rearranged our Monthly webinars series for August.

Kindly note that two webinars focused on the Centers for Medicare and Medicaid Services CY 2019 Proposed Rule took place on July 31st and August 7th, 2018. Kindly note that the recording are available for each presentation. To access the webinar

recordings kindly send your request to [email protected] for access the recording.

Also, kindly note will have one additional webinar this month which is scheduled for August 16, 2018. The webinar .

8/7/2018QPP/MIPS NPRM - Public Health

4

Page 5: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

Increasing Value, Lowering Burden:

Exchanging Immunization Data Between Electronic Health Records (EHRs) and

Immunization Information Systems (IIS)

Thursday, August 9 th, 20183pm ET

5

Page 6: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

Speakers

• Mary Beth Kurilo, Policy and Planning Director, AIRA• Mary Woinarowicz, IIS Manager, North Dakota Immunization

Information System• Tina Scott, Section Manager, Michigan Care Improvement

Registry

6

Page 7: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

Assist with vaccine

orde ring & inven tory

m anagem ent

Crea te consolida ted

reports

Crea te com prehensive

records

Genera te rem inde rs to ensure on-

tim e vaccina tions

Assist with d isease

su rve illance & ou tbreak re sponse

Confiden tia l

Popula tion-based

Iden tify pocke ts of need

Assist schools & ch ild care p rovide rs

Help im prove vaccina tion ra tes &Reduce vaccine -preventab le d isease

a re confidentia l, popula tion-based , com pute rized da tabases tha t record a ll im m uniza tion doses adm iniste red by participa ting provide rs to pe rsons re sid ing with in a given geopolitica l a rea .

Assist with clin ical

decision support &

forecasting

Exchange da ta with m ultip le p rovide rs

IIS…

7

Page 8: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

Maturity

• No national IIS• Each system operates independently• Newest IIS is hoping to launch later this year• Oldest have been in existence for 25+ years

8

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Progress in Data Capture

• Healthy People 2020 Goals• Children >6: 95%• Adolescents 11 -17: 80%

9

Page 10: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

The Value of EHR - IIS Interoperability

• Incentive programs have significantly increased reporting toand use of immunization data between provider ElectronicHealth Records (EHRs) and Immunization InformationSystems (IIS) or registries.

• As a direct result of these incentive programs:• IIS have more robust data in system s tha t support im m uniza tion

activitie s across the hea lth care con tinuum .• Providers have accurate immunization data a t the poin t of care

10

Page 11: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

Value is Recognized Broadly

• CMS excerpt from recent Quality Payment Program and Medicaid Promoting Interoperability proposed rules (Federal Register, 7/27/2018), citing the value of Public Health reporting:

“For example, when immunization information is directly exchanged between EHRs and registries, patien t in form ation m ay be accessed by a ll of a pa tien t’s hea lth care p rovide rs forimproved continuity of care and reduced health care provider burden, as we ll as supporting population health monitoring.”

11h ttps:/ /www.federa lregiste r.gov/docum ents/2018/07/27/2018-14985/m edicare -program -revisions-to-paym ent-policies-under-the -physician-fee -schedule -and-othe r-revisions

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Who Else Benefits?

• These data are now accessible for an infinite number of programs and organizations, including:

• Medicaid• Accountable Care Organizations (ACOs)• Health plans conducting HEDIS measurement• Clinics and health systems providing clinical care and evaluating

quality measures• Schools who need to ensure students are up -to -date• Public health organizations committed to preventing vaccine

preventable diseases.

12

Page 13: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

Where is the value to providers?

Saves providers time

Increases accuracy

Improves security

13

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Value, cont.

• A 2016 study in Pediatrics demonstrated an increase in up-to -date status from 75% to 81.6% following implementation of EHR -IIS query.

Stockwell et al., Pediatrics, 2016

75.0%

81.6%

70%

72%

74%

76%

78%

80%

82%

84%

Prior to Query Post Query

UP-TO-DATE RATE

14

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Value, cont.

• The same study showed a decrease in over -immunization from 8.8% to 4.7% following implementation of EHR -IIS query.

8.8%

4.7%

0%1%2%3%4%5%6%7%8%9%

10%

Prior to Query Post Query

MISSED OPPORTUNITIES

15Stockwe ll e t a l., Ped ia trics, 2016

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EHR-IIS Query Adoption

16

1990s - Providers began reporting to

IIS

~2009 – Query functionality

available in select IIS/EHRs

2012 – Incentive Programs increased

adoption of EHRs, accelerated dx

2015 CEHRT included IIS query, leading to broad

adoption

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Where is EHR-IIS Query Happening?• EHR-IIS query is available in the majority of IIS jurisdictions

nationwide

17

IIS Annual Report Data, 2016; NYC CIR Data, April, 2018

In New York City alone (population 8.5 million):• 1,314 clinic sites querying• Currently receiving 2.2 million queries

per month• Clinics: 1.8 million/month (82%) • Schools: 400,000/month (18%)

Page 18: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

Additional Success Stories Shared by IISIn Minnesota, public health staff used their IIS, MIIC, to respond to a measles outbreak, quickly assessing the immunity of exposures and case contacts. A cost analysis following the outbreak estimated using MIIC yielded time savings of 1147 hours and cost savings of $38,000.

18

Nevada documented improved timeliness of reporting, fueled by interoperability supported by incentive programs.

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Additional Success Stories Shared by IISIn Rhode Island, as data became more complete, the school nurses now use the IIS almost exclusively to monitor compliance with school immunization requirements –reducing the frequency of contacts with provider offices for the information.

19

In Wisconsin, increases in data completeness as a result of Meaningful Use make it possible to conduct studies that further the mission of protecting communities from vaccine preventable disease. The Wisconsin Division of Public Health recently published an article comparing waning immunity across Tdap brands.

Page 20: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

Additional Success Stories Shared by IISDuring a meningococcal outbreak on a large university campus in Oregon in 2017, the complete and accurate data in the statewide IIS was critical in helping to identify vulnerable populations that needed to be immunized during a mass vaccination clinic.

20

New York City’s Department of Health and Mental Hygiene, Bureau of Immunizations, published a paper about IIS data quality improvements due to HL7 reporting incentivized by Meaningful Use. The results of this study showed that data reported through the HL7 web service from EHRs were overall more complete and timely than data reported through other methods.

Public Health Reports, July -August 2016, Accessed 4/9/18: http://journals.sagepub.com/doi/full/10.1177/0033354916662217

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AIRA’s Measurement and Improvement Initiative is he lping ensure IIS meet standards

21

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What happens at each stage?

22

Testing and Discovery

Assessment

Validation

Page 23: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

The Aggregate Analysis Reporting Tool (AART) Dashboard

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Validation Reports

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Results: Transport

0

5

10

15

20

25

30

35

40

45

Q3 2016 Q4 2016 Q1 2017 Q2 2017 Q3 2017 Q4 2017 Q1 2018 Q2 2018

CDC WSDLs Assessed

Connectivity Test

Submit Single Message

Security Fault

25

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Results: Submission and Acknowledgement

0

5

10

15

20

25

30

35

40

45

50

2017 Q1 2017 Q2 2017 Q3 2017 Q4 2018 Q1 2018 Q2

Measured

VXU Pass Average

ACK Pass Average

Timeliness Pass Average

26

Page 27: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

Results: Query and Response

0

5

10

15

20

25

30

35

40

45

50

2017 Q1 2017 Q2 2017 Q3 2017 Q4 2018 Q1 2018 Q2

Measured

Query Support Pass Average

MU3 Query Support Pass Average

RSP Conformance Pass Average

Core Data Elements Pass Average

Timeliness Pass Average

27

Page 28: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

• Accurate and complete immunization data, at the point of care, queried and available through their EHR

• Consolidated record• Forecast of immunizations

due

What Does This Mean for Providers?

28

Page 29: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

North DakotaMary Woinarowicz, MA

NDIIS Manager

29

Page 30: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

NDIIS Background• The North Dakota Immunization Information System (NDIIS) is a confidential, population -

based, computerized information system that attempts to collect vaccination data for all North Dakotans.o Lifespan system tha t includes in fan ts, ch ild ren , adole scen ts and adu lts

• Estab lished in 1988

• The NDIIS is a gran tee -deve loped (i.e . hom egrown) IIS.o The North Dakota Departm ent of Hea lth (NDDoH) con tracted with Norid ian Mutua l Insurance

Com pany (NMIC), form ally Blue Cross/Blue Sh ie ld of North Dakota (BCBSND), in 1996 to deve lop the curren t web-based system .

o The NDIIS is still cu rren tly hosted and supported by NMIC.

• ND Century Code requ ires North Dakota p roviders en te r a ll ch ildhood (18 years of age and younger) im m uniza tions in to the NDIIS with in 4 weeks of adm in istra tion .

• 99.5% of im m uniza tion da ta is en te red in to the NDIIS with in 30 days of adm in istra tion .o 89.4% is en te red with in one day.

30

Page 31: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

Interoperability Overview• As of August 2018, the NDIIS is interoperable with 345 individual provider

locations, the North Dakota Health Information Network (NDHIN) and the ND Department of Health disease surveillance system (MAVEN).o 267 provide rs a re connected to the NDIIS via the NDHINo 59 provide rs a re subm itting rea l-tim e , VXU onlyo 32 provide rs a re subm itting fla t file so 254 a re rea l-tim e , fu lly b i-d irectiona l

• The NDIIS supports SOAP web se rvices transport for a ll d irect connections.

• The NDIIS curren tly supports HL7 ve rsions 2.3.1, 2.5.1 re lease 1.4 and 2.5.1 re lease 1.5.o North Dakota is sunse tting support for 2.3.1 and we a re active ly working with our

p rovide rs to upgrade the ir in te rfaces to 2.5.1 re lease 1.5.

31

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Interoperability Overview

80.4%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

90.0%

Q32011

Q42011

Q12012

Q22012

Q32012

Q42012

Q12013

Q22013

Q32013

Q42013

Q12014

Q22014

Q32014

Q42014

Q12015

Q22015

Q32015

Q42015

Q12016

Q22016

Q32016

Q42016

Q12017

Q22017

Q32017

Q42017

Q12018

Q22018

% of doses added to NDIIS electronically

% HL7

32

Page 33: Increasing Value, Lowering Burden: Exchanging Immunization … · 2018-09-17  · Exchanging Immunization Data Between Electronic Health Records (EHRs) and Immunization Information

Bi-directional Exchange• EHR not supporting query (QBP)/response (RSP) is a

challenge for providers and IIS.oEnd use rs still needed to go in to the NDIIS to look-up h istorica l

im m uniza tions. oEnd use rs a re having to en te r a ll NDIIS h istorica l doses in to the ir

EHR system . Takes additiona l tim e for the end use r. Crea tes duplica te doses in NDIIS.

oEHR uses the ir own CDSi (forecaste r) instead of NDIIS forecasting in form ation be ing re tu rned a fte r EHR query. EHR system forecaste r m ay be ou t of sync with NDIIS forecaste r due to new,

upda ted and/or changing recom m endations.

33

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Bi-directional Exchange• Implementing QBP/RSP messaging saves time and money

o End use rs no longer have to leave the ir EHR system to find the ir pa tien t’s im m uniza tion h istory.

o Displaying and consum ing the IIS im m uniza tion h istory reduces m ore da ta en try for the hea lthcare provide r.

o Using the sam e CDSi from the IIS tha t a ll o the r p rovide rs in the sta te use ensures the sam e im m uniza tion schedule is be ing fo llowed. Ensures con tinu ity of im m uniza tion requ irem ents be ing upda ted in the CDSi.

o Im plem enting both QBP and VXU m essages a t the sam e tim e shortens the on-board ing and te sting pe riod which saves EHR, provide r and IIS re sources.

34

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NDIIS/HIE Partnership• North Dakota has one, statewide health information exchange (HIE).• Both projects had a shared interest in the other’s success.

o NDIIS in te re st in the NDHIN: NDIIS team wanted to be ab le to re ly on the NDHIN and the ir re sources for p roject susta inab ility. Cost savings for the NDIIS team not having to pay for licenses for VPN connections.

o NDHIN in te re st in NDIIS: NDHIN wanted to use the NDIIS connection to recru it p rovide rs.

• Provide rs wanting to exchange im m unization in form ation to m ee t Meaningfu l Use cou ld do th is easily th rough the ir connection to the NDHIN.

The needs of the NDIIS p roject were written in to the RFP for HIE vendors.

• There was represen ta tion from each project on the o the r ’s team to m ake sure the in te rests of each were com m unica ted and addressed a t eve ry stage .

35

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NDIIS/HIE Partnership• NDHIN acts as a pass-through for immunization messages.• NDHIN has query capabilities built in for HIE direct users.

o Users who log d irectly in to the NDHIN use r in te rface can que ry the NDIIS for pa tien t im m uniza tion in form ation without having to log in to the NDIIS separa te ly.

• Each team knows and fu lly understands the on-board ing process of the o the r project.

• Provide rs connecting to the NDHIN are not re fe rred to the NDIIS team until the ir HIE participa tion agreem ent is signed and the ir te st connection is up and running.

• The NDHIN supports both VPN and SOAP connections and offe rs a single poin t of connection .

An estab lished connection to the NDHIN m akes it easie r for p rovide rs and the ir EHR vendors to exchange othe r hea lth da ta (i.e . e lectron ic lab reporting, syndrom ic surve illance , ADT, e tc.) without additiona l connectivity work or m ain tenance .

36

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Adult Data Entry

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

2009 2010 2011 2012 2013 2014 2015 2016 2017

54%63%

69%72%

78%84%

87%92% 94%

Percent of adults 19 years of age and older with at least one adult administered dose of vaccine in the NDIIS

37

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Adult Data Entry• Prior to interoperability, ND providers would prioritize data entry in the NDIIS

for pediatric immunizations.o There is no m anda te for reporting adu lt im m uniza tions in North Dakota .

• Adult da ta was prim arily en te red by loca l public hea lth and prim ary hea lthcare provide rs and on ly happened during slower tim es of the year.o Adult da ta was ra re ly en te red by pharm acies and was a lm ost neve r en te red during flu

season because of the la rge increase in ped ia tric doses tha t needed to be en te red .

• Provide rs who becom e in te rope rab le with the NDIIS don’t need to do dua l da ta en try and can easily send a ll im m uniza tions en te red .

• Public hea lth reporting incen tives tha t ta rge t adu lt im m unize rs, like pharm acies and loca l public hea lth , m otiva te those provide rs to connect to the ir IIS.

38

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Adult Data Entry• Benefits of robust adult data in IIS:

o Run rea l-tim e adult im m uniza tion cove rage using IIS da ta

o Conduct cen tra lized adu lt im m uniza tion rem inder-reca ll

o Conduct adu lt AFIX assessm ents for North Dakota p rovide rs

o North Dakota p rovide rs were not rece iving re im bursem ent from insurance com panies for adu lt im m uniza tions because the adu lt had a lready rece ived the vaccine bu t the p rovide r had no record .

o Adults can find record of im m uniza tions rece ived.

Data source: North Dakota Immunization Information System (NDIIS)Immunization coverage rate data for North Dakota: https://www.ndhealth.gov/Immunize/NDIIS/Rates.aspx 39

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HIE’s impact on Michigan’s IISMichigan Care Improvement

Registry (MCIR)Tina Scott, Section Manager

Michigan Care Improvement Registry

40

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41

Michigan - In the Beginning….2006◦ 200 Stakeholders - Medica id and Public Health - At the Table◦ Output: Conduit of Care: Guide to Statewide health information

exchange◦ PUBLIC HEALTH REPORTING ID’d as KEY DRIVER to HIE

Adoption

Crickets … until 2009/2010 … FUNDING◦ ARRA – February 17, 2009◦ Sta te Medica id HIT Plan (SMHP) - 2010◦ Medica id’s Health In form ation Technology Advance Planning

Docum ent (HIT APD) - 2010

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42

Michigan Public Health Use CasesPublic Health Reporting◦ MCIR – VXU - Receive Immunizations via HIE – 2012

◦ Corporate Pharmacy Immunization submissions to MCIR - 2013◦ MDSS – Rece ive Electron ic Reportab le Labs – 2012

◦ Content ed its to m essage for the inclusion of Blood Lead - 2016

◦ MSSS– Rece ive Syndrom ic m essages – 2013◦ Cancer Registry - Rece ive Cance r Case Report In form ation -2014

◦ Cance r Pa thology Reportab le Labs 2016◦ Birth Defects Registry – Birth Defects Case Report

◦ Approve by HL7 in 2014, im plem enta tion 2018-2019◦ Newborn Screening Messaging Package

◦ Critica l Congen ita l Heart Defect -2015 ◦ Hearing – 2017◦ Lab Orde rs / Lab Resu lts - Bloodspot - 2018

Query◦ MCIR Query Forecast / Query History – Providers in 2015, Consumers in 2018◦ Blood Lead Query for te st re su lts - 2019

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43

Michigan Health Information Exchange (HIE)

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44

MCIR – Data Quality review 2014

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45

MCIR – Data Quality review 2014

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46

MCIR – Data Quality review 2014

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47

MCIR – HL7 transition 2010 to 2017

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48

MCIR – HL7 impact on Adult data

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49

MCIR – Query Forecast/History

Live in 2015 for Providerso 2015 - 29 provider site so 2016 - 439 provider site so 2017 – 935 to ta l site s o 2018 current # - 1,900 sites and growing

First Quarte r CY18 ave rage = 1.4 m illion que rie s pe r m onth

New in 2018 – Consumer Access via Query

o Medica id Beneficia rie s via m yHealthButton /m yHealthPorta l –March 2018

o August 2018 – Pilot - Paren ts que ry for ch ild’s record via secure School Porta l

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50

MCIR – What’s next? Add more Michigan Tribal HL7 reporting of IMMS

Consumer Access via Query - MORE Partnerships with other health care organizations for patient

portals to query MCIR

State-to-State (Registry to Registry) transmission and/or query of Immunization records North Dakota – temporary worker migrations (oil fields) Wisconsin or other border states

Discussions with Federal Refugee Services on receipt of Refugee vaccine information

PUSH – HEDIS Measures – work with Medicaid Health Plans so they automatically receive new IMMS information for their patient lists

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In Conclusion

Incentive programs have directly improved the quality and quantity of data contained within IIS

This has strengthened IIS as important analytic tools that support a wealth of population health needs

Providers can access these data seamlessly through EHR query at the point of care, supporting clinical decisions and ensuring appropriate immunization

51

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Acknowledgements

• Thank you to:• The IIS Community for sharing their successes and challenges• The AIRA Measurement for Assessment and Certification Advisory

Workgroup (MACAW) Members for their work in measurement and improvement

• All EHRs and IIS, and to our provider community, for doing the hard work to implement interoperability

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Questions, Discussion? Thank you!

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Mary Beth Kurilo, MPH, MSW

[email protected]

202-552-0197

Mary Woinarowicz

[email protected]

701-328-2404

Tina Scott

[email protected]

517-284-4899