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Ecosystems for FHIR Apps FHIR Application Roundtable, Helsinki 18.9.2017 Mikael Rinnetmäki [email protected] @mrinnetmaki
13

Ecosystems for FHIR Apps - HL7

Feb 27, 2022

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Page 1: Ecosystems for FHIR Apps - HL7

Ecosystems for FHIR AppsFHIR Application Roundtable, Helsinki 18.9.2017

Mikael Rinnetmä[email protected]

@mrinnetmaki

Page 2: Ecosystems for FHIR Apps - HL7

@sensotrend

Page 3: Ecosystems for FHIR Apps - HL7

@sensotrend

Page 4: Ecosystems for FHIR Apps - HL7

@sensotrend

$

Page 5: Ecosystems for FHIR Apps - HL7

https://open.epic.com/

Page 6: Ecosystems for FHIR Apps - HL7

1. tinker and test

2. apply and join

3. validate and launch

“Due to high demand, at this time Cerner is limiting our developer engagements to those developers who are actively working with a Cerner client to beta test their app. ”

https://code.cerner.com/millennium

Page 7: Ecosystems for FHIR Apps - HL7

www.kanta.fi/web/ammattilaisille/omakannan-omatietovaranto

• ODAwww.kuntaliitto.fi/oda

PHR

Page 8: Ecosystems for FHIR Apps - HL7

Isaacus – Digital Health Hubwww.sitra.fi/en/topics/well-being-data/#what-is-it-about

• One stop shop for health & wellness data

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Page 10: Ecosystems for FHIR Apps - HL7

Opportunities

• Time window (GDPR, Meaningful Use)

• Facilitate & kickstart data commerce

• New research opportunities & funding

• New business opportunities

Threats

• Second mouse gets the cheese

• Other models more attractive

• Corrupted, low quality, or partial data

• No business models

Strengths

• First mover advantage

• Modern, enabling legislation

• Data sources

• Integrated to healthcare

• FHIR specification

Weaknesses

• No infrastructure, no existing business

• No business model

• No incentives for data sources

• Providers build own apps

• Strict profiling

Page 11: Ecosystems for FHIR Apps - HL7

Opportunities

• Time window (GDPR, Meaningful Use)

• Facilitate & kickstart data commerce

• New research opportunities & funding

• New business opportunities

Threats

• Second mouse gets the cheese

• Other models more attractive

• Corrupted, low quality, or partial data

• No business models

Strengths

• First mover advantage

• Modern, enabling legislation

• Data sources

• Integrated to healthcare

• FHIR specification

Weaknesses

• No infrastructure, no existing business

• No business model

• No incentives for data sources

• Providers build own apps

• Strict profiling

Page 12: Ecosystems for FHIR Apps - HL7

Mikael Rinnetmä[email protected]

+358 50 3855511@mrinnetmaki

…making sense of diabetes trends

Page 13: Ecosystems for FHIR Apps - HL7

• GDPR http://www.eugdpr.org/

• Meaningful use https://www.cdc.gov/ehrmeaningfuluse/introduction.html