SlideShare a Scribd company logo
1 of 4
Download to read offline
About Customer:
Our customer is a California based care consor�um that was established in 1945 and has been providing
comprehensive medical care with their consolidated group of hospitals, medical groups and non-profit
health plan ini�a�ves.
Customer Highlights:
Customer has more than 35+ hospitals, 600+ medical offices and a personnel of 80.000+ physicians
and nurses across the United States
Customer has a total funding of $7.5 Million over the years
Customers has a widespread network of healthcare ecosystem present in 8 states of the US
Business Scenario:
Customer wanted to create interoperability amongst their hospitals and their connected digital
healthcare systems
Integrate custom interoperability engine that can adhere to their internal and external systems
Generate REST APIs that can facilitate FHIR based data exchange capabili�es
AIMDek Digital Partnership Scope:
To ensure that customer can get an integrated system and create op�mized data interoperability, our cloud
engineers deployed AIMDek’s proprietary Interoperability Architecture that we have built as an accelerator
for Healthcare Organiza�ons and MedTech companies to become a cloud
intelligence pla�orm.
Delivered Data
Interoperability to one
of the United States
largest Care Consortium
The Solution:
Cloud Interoperability in a Hospital Ecosystem
marke�ng@aimdek.com
The hospital has implemented diverse healthcare systems, including EMR, EHR, RPM, Telehealth, and
others. The challenge is to seamlessly exchange cri�cal data among these systems, specifically related to
healthcare providers, laboratory results, and ongoing clinical trials.
Interoperability Components & Data Formats:
AIMDek Interoperability Engine:
We deployed a sophis�cated interoperability engine that adheres to the latest USA-based healthcare regulatory
standards (such as HL7, FHIR, and DICOM).
This engine acts as a centralized hub for data exchange, ensuring seamless communica�on between various
systems.
Remote Pa�ent Monitoring (RPM):
The hospital employs RPM solu�ons to monitor pa�ents remotely, collec�ng
data on vital signs, ac�vity levels, and other relevant health metrics.
The interoperability engine integrates with RPM systems, enabling the
seamless transfer of pa�ent-generated health data to both EMR and EHR
systems. This ensures that healthcare providers can monitor and respond
to changes in pa�ent health in real �me.
Data Format:
Con�nua Health Alliance standards (such as IEEE 11073 and ISO/IEEE 11073) were
used for RPM data, defining communica�on protocols for health devices.
Interoperability File Format:
XML or HL7 CDA (Clinical Document Architecture) as interoperability formats for
remote monitoring data.
Lab Data Exchange:
Secure exchange of lab data between the hospital's laboratory informa�on
system which was legacy card punch system combined with na�ve mobile
applica�on and they were both connected to EMR and EHR systems.
This ensured that healthcare providers have real-�me access to the latest
lab results, enabling them to make informed decisions about pa�ent care.
Data Format:
DICOM was used for Lab data communica�on protocols with different healthcare
systems.
Interoperability File Format:
DICOM based Implicit VR Li�le Endian and Explicit VR Li�le Endian, Metadata Tags,
Pixel Data and Mul�-frame DICOM.
marke�ng@aimdek.com
Telehealth Solu�ons:
Telehealth solu�ons were implemented to facilitate virtual consulta�ons
and remote healthcare services using Vidyo.
Our interoperability engine enables the exchange of pa�ent data,
including consulta�on notes and treatment plans, between Telehealth
pla�orms and EMR/EHR systems, ensuring that virtual care is seamlessly
integrated into the pa�ent's overall healthcare record.
Data Format:
Combina�on of Con�nua Health Alliance Standards for device communica�on and
DICOM (Digital Imaging and Communica�ons in Medicine) for medical imaging data.
Clinical Trial Collabora�on:
The hospital ac�vely par�cipates in clinical trials to advance medical
research. The interoperability engine extends its capabili�es to integrate
with external clinical trial databases.
Pa�ent eligibility criteria, enrolment status, and relevant trial data are
exchanged between the hospital's systems and external databases,
fostering collabora�on, and suppor�ng research ini�a�ves.
Data Format:
CDISC were used to define communica�on protocols for clinical trial pla�orms.
EMR and EHR Integra�on:
The interoperability engine enabled bidirec�onal communica�on between
the EMR and EHR of Epic Systems, ensuring that pa�ent records are
consistent across both pla�orms.
Health updates, medica�on changes, and treatment plans ini�ated in the
EMR are instantly reflected in the EHR, providing a unified view of pa�ent
informa�on.
EMR (Electronic Medical Records) Data Format:
Con�nua Health Alliance standards (such as IEEE 11073 and ISO/IEEE 11073) were
used for RPM data, defining communica�on protocols for health devices.
EMR (Electronic Medical Records) Interoperability File Format:
HL7 messages encoded in XML or JSON format, following the FHIR (Fast Healthcare
Interoperability Resources) standard for modern interoperability.
EHR (Electronic Health Records):
HL7 FHIR resources encoded in XML or JSON format. FHIR resources were used for
provider, pa�ent and lab informa�on exchange including Pa�ent, Encounter,
Observa�on, and others.
Outcomes Delivered:
Complete data interoperability with compliance to the FDA interoperability standards
End-to-end data inges�on, management, processing, and distribu�on ecosystem
Hospital chains were able to export data with on-call APIs to the Clinical Trials organiza�ons
We delivered enhanced pa�ent care, streamlined workflows, and delivered research collabora�on
STANDARDS
DICOM, HIPAA, FHIR, HL7
v2, CDISC, Con�nua
Health Alliance Standards
FILE FORMATS
HL7 (v2 and FHIR), XML,
JSON, .dcm, JSON, CDA
based XML, ODM in XML,
SDTM-XML, CTR-XML
marke�ng@aimdek.com

More Related Content

Similar to Interoperability-For-Hospital-Care-Consortium 4.pdf

A patient information management system—electronic health record.docx
A patient information management system—electronic health record.docxA patient information management system—electronic health record.docx
A patient information management system—electronic health record.docx
sleeperharwell
 
Patient Data Exchange Server
Patient Data Exchange ServerPatient Data Exchange Server
Patient Data Exchange Server
watchdog
 
6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx
6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx
6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx
priestmanmable
 
6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx
6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx
6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx
blondellchancy
 
Presentation 2010 mMD EMR\\EHR
Presentation 2010 mMD EMR\\EHRPresentation 2010 mMD EMR\\EHR
Presentation 2010 mMD EMR\\EHR
edwardabrown3
 
Ehr by jessica austin, shaun baker, victoria blankenship and kayla boro
Ehr by jessica austin, shaun baker, victoria blankenship and kayla boroEhr by jessica austin, shaun baker, victoria blankenship and kayla boro
Ehr by jessica austin, shaun baker, victoria blankenship and kayla boro
kayla_ann_30
 
HI300 Unit 5 Standards for Electronic Data and Data Interchange -.docx
HI300 Unit 5 Standards for Electronic Data and Data Interchange -.docxHI300 Unit 5 Standards for Electronic Data and Data Interchange -.docx
HI300 Unit 5 Standards for Electronic Data and Data Interchange -.docx
AbramMartino96
 

Similar to Interoperability-For-Hospital-Care-Consortium 4.pdf (20)

Ibrahem
IbrahemIbrahem
Ibrahem
 
A framework for secure healthcare systems based on big data analytics in mobi...
A framework for secure healthcare systems based on big data analytics in mobi...A framework for secure healthcare systems based on big data analytics in mobi...
A framework for secure healthcare systems based on big data analytics in mobi...
 
A patient information management system—electronic health record.docx
A patient information management system—electronic health record.docxA patient information management system—electronic health record.docx
A patient information management system—electronic health record.docx
 
How do HL7 standards help secure data exchange for Digital Healthcare.pptx
How do HL7 standards help secure data exchange for Digital Healthcare.pptxHow do HL7 standards help secure data exchange for Digital Healthcare.pptx
How do HL7 standards help secure data exchange for Digital Healthcare.pptx
 
Protecting Sensitive Data
Protecting Sensitive DataProtecting Sensitive Data
Protecting Sensitive Data
 
Patient Data Exchange Server
Patient Data Exchange ServerPatient Data Exchange Server
Patient Data Exchange Server
 
iUZ.Talk - Cross-border Interoperability
iUZ.Talk - Cross-border InteroperabilityiUZ.Talk - Cross-border Interoperability
iUZ.Talk - Cross-border Interoperability
 
6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx
6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx
6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx
 
6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx
6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx
6292016 library.ahima.orgPBDataStandards#appxAhttpl.docx
 
Health information exchange (HIE)
Health information exchange (HIE)Health information exchange (HIE)
Health information exchange (HIE)
 
RDB ACC Presentation
RDB ACC PresentationRDB ACC Presentation
RDB ACC Presentation
 
Key Challenges Healthcare Organizations Face with EMR_EHR Data Archiving
Key Challenges Healthcare Organizations Face with EMR_EHR Data ArchivingKey Challenges Healthcare Organizations Face with EMR_EHR Data Archiving
Key Challenges Healthcare Organizations Face with EMR_EHR Data Archiving
 
Presentation 2010 mMD EMR\\EHR
Presentation 2010 mMD EMR\\EHRPresentation 2010 mMD EMR\\EHR
Presentation 2010 mMD EMR\\EHR
 
Strategic Account Manager RAMP presentation 031708
Strategic Account Manager RAMP presentation 031708Strategic Account Manager RAMP presentation 031708
Strategic Account Manager RAMP presentation 031708
 
Ehr by jessica austin, shaun baker, victoria blankenship and kayla boro
Ehr by jessica austin, shaun baker, victoria blankenship and kayla boroEhr by jessica austin, shaun baker, victoria blankenship and kayla boro
Ehr by jessica austin, shaun baker, victoria blankenship and kayla boro
 
CareBridge ONC Certified Interface Engine
CareBridge ONC Certified Interface EngineCareBridge ONC Certified Interface Engine
CareBridge ONC Certified Interface Engine
 
Addressing the Healthcare Connectivity Challenge
Addressing the Healthcare Connectivity ChallengeAddressing the Healthcare Connectivity Challenge
Addressing the Healthcare Connectivity Challenge
 
Innovation in Enterprise Imaging: Clinical Context is What's Next
Innovation in Enterprise Imaging: Clinical Context is What's NextInnovation in Enterprise Imaging: Clinical Context is What's Next
Innovation in Enterprise Imaging: Clinical Context is What's Next
 
Instrument of Change: Creating the next generation of Laboratory Middleware
Instrument of Change: Creating the next generation of Laboratory MiddlewareInstrument of Change: Creating the next generation of Laboratory Middleware
Instrument of Change: Creating the next generation of Laboratory Middleware
 
HI300 Unit 5 Standards for Electronic Data and Data Interchange -.docx
HI300 Unit 5 Standards for Electronic Data and Data Interchange -.docxHI300 Unit 5 Standards for Electronic Data and Data Interchange -.docx
HI300 Unit 5 Standards for Electronic Data and Data Interchange -.docx
 

More from fernadiseella

More from fernadiseella (6)

Liferay-Website -Development-For-Housing-Finance-NBFC.pdf
Liferay-Website -Development-For-Housing-Finance-NBFC.pdfLiferay-Website -Development-For-Housing-Finance-NBFC.pdf
Liferay-Website -Development-For-Housing-Finance-NBFC.pdf
 
Evolution of Companion App from Data Display Medium to a Gateway Towards DaaS...
Evolution of Companion App from Data Display Medium to a Gateway Towards DaaS...Evolution of Companion App from Data Display Medium to a Gateway Towards DaaS...
Evolution of Companion App from Data Display Medium to a Gateway Towards DaaS...
 
Evolution of V&V Testing with the Advancements of Medical devices.pdf
Evolution of V&V Testing with the Advancements of Medical devices.pdfEvolution of V&V Testing with the Advancements of Medical devices.pdf
Evolution of V&V Testing with the Advancements of Medical devices.pdf
 
Liferay-Website -Development-For-Housing-Finance-NBFC 1.pdf
Liferay-Website -Development-For-Housing-Finance-NBFC 1.pdfLiferay-Website -Development-For-Housing-Finance-NBFC 1.pdf
Liferay-Website -Development-For-Housing-Finance-NBFC 1.pdf
 
Developed A Custom EHR Solution And Deployed It On Cloud As A SaaS Platform F...
Developed A Custom EHR Solution And Deployed It On Cloud As A SaaS Platform F...Developed A Custom EHR Solution And Deployed It On Cloud As A SaaS Platform F...
Developed A Custom EHR Solution And Deployed It On Cloud As A SaaS Platform F...
 
Delivered Blockchain Capabilities to a Digital Transparency Company
Delivered Blockchain Capabilities to a Digital Transparency CompanyDelivered Blockchain Capabilities to a Digital Transparency Company
Delivered Blockchain Capabilities to a Digital Transparency Company
 

Recently uploaded

Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider  Progress from Awareness to Implementation.pptxTales from a Passkey Provider  Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
FIDO Alliance
 
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
Muhammad Subhan
 
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxHarnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
FIDO Alliance
 
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
panagenda
 

Recently uploaded (20)

Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
 
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider  Progress from Awareness to Implementation.pptxTales from a Passkey Provider  Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
 
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
 
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdfSimplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
 
Intro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptxIntro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptx
 
The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightThe Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and Insight
 
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
 
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
 
Top 10 CodeIgniter Development Companies
Top 10 CodeIgniter Development CompaniesTop 10 CodeIgniter Development Companies
Top 10 CodeIgniter Development Companies
 
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxHarnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
 
Design Guidelines for Passkeys 2024.pptx
Design Guidelines for Passkeys 2024.pptxDesign Guidelines for Passkeys 2024.pptx
Design Guidelines for Passkeys 2024.pptx
 
State of the Smart Building Startup Landscape 2024!
State of the Smart Building Startup Landscape 2024!State of the Smart Building Startup Landscape 2024!
State of the Smart Building Startup Landscape 2024!
 
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfHow we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdf
 
Vector Search @ sw2con for slideshare.pptx
Vector Search @ sw2con for slideshare.pptxVector Search @ sw2con for slideshare.pptx
Vector Search @ sw2con for slideshare.pptx
 
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The Inside
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The InsideCollecting & Temporal Analysis of Behavioral Web Data - Tales From The Inside
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The Inside
 
WebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM PerformanceWebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM Performance
 
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
 
Continuing Bonds Through AI: A Hermeneutic Reflection on Thanabots
Continuing Bonds Through AI: A Hermeneutic Reflection on ThanabotsContinuing Bonds Through AI: A Hermeneutic Reflection on Thanabots
Continuing Bonds Through AI: A Hermeneutic Reflection on Thanabots
 
Overview of Hyperledger Foundation
Overview of Hyperledger FoundationOverview of Hyperledger Foundation
Overview of Hyperledger Foundation
 

Interoperability-For-Hospital-Care-Consortium 4.pdf

  • 1. About Customer: Our customer is a California based care consor�um that was established in 1945 and has been providing comprehensive medical care with their consolidated group of hospitals, medical groups and non-profit health plan ini�a�ves. Customer Highlights: Customer has more than 35+ hospitals, 600+ medical offices and a personnel of 80.000+ physicians and nurses across the United States Customer has a total funding of $7.5 Million over the years Customers has a widespread network of healthcare ecosystem present in 8 states of the US Business Scenario: Customer wanted to create interoperability amongst their hospitals and their connected digital healthcare systems Integrate custom interoperability engine that can adhere to their internal and external systems Generate REST APIs that can facilitate FHIR based data exchange capabili�es AIMDek Digital Partnership Scope: To ensure that customer can get an integrated system and create op�mized data interoperability, our cloud engineers deployed AIMDek’s proprietary Interoperability Architecture that we have built as an accelerator for Healthcare Organiza�ons and MedTech companies to become a cloud intelligence pla�orm. Delivered Data Interoperability to one of the United States largest Care Consortium
  • 2. The Solution: Cloud Interoperability in a Hospital Ecosystem marke�ng@aimdek.com The hospital has implemented diverse healthcare systems, including EMR, EHR, RPM, Telehealth, and others. The challenge is to seamlessly exchange cri�cal data among these systems, specifically related to healthcare providers, laboratory results, and ongoing clinical trials. Interoperability Components & Data Formats: AIMDek Interoperability Engine: We deployed a sophis�cated interoperability engine that adheres to the latest USA-based healthcare regulatory standards (such as HL7, FHIR, and DICOM). This engine acts as a centralized hub for data exchange, ensuring seamless communica�on between various systems. Remote Pa�ent Monitoring (RPM): The hospital employs RPM solu�ons to monitor pa�ents remotely, collec�ng data on vital signs, ac�vity levels, and other relevant health metrics. The interoperability engine integrates with RPM systems, enabling the seamless transfer of pa�ent-generated health data to both EMR and EHR systems. This ensures that healthcare providers can monitor and respond to changes in pa�ent health in real �me. Data Format: Con�nua Health Alliance standards (such as IEEE 11073 and ISO/IEEE 11073) were used for RPM data, defining communica�on protocols for health devices. Interoperability File Format: XML or HL7 CDA (Clinical Document Architecture) as interoperability formats for remote monitoring data. Lab Data Exchange: Secure exchange of lab data between the hospital's laboratory informa�on system which was legacy card punch system combined with na�ve mobile applica�on and they were both connected to EMR and EHR systems. This ensured that healthcare providers have real-�me access to the latest lab results, enabling them to make informed decisions about pa�ent care. Data Format: DICOM was used for Lab data communica�on protocols with different healthcare systems. Interoperability File Format: DICOM based Implicit VR Li�le Endian and Explicit VR Li�le Endian, Metadata Tags, Pixel Data and Mul�-frame DICOM.
  • 3. marke�ng@aimdek.com Telehealth Solu�ons: Telehealth solu�ons were implemented to facilitate virtual consulta�ons and remote healthcare services using Vidyo. Our interoperability engine enables the exchange of pa�ent data, including consulta�on notes and treatment plans, between Telehealth pla�orms and EMR/EHR systems, ensuring that virtual care is seamlessly integrated into the pa�ent's overall healthcare record. Data Format: Combina�on of Con�nua Health Alliance Standards for device communica�on and DICOM (Digital Imaging and Communica�ons in Medicine) for medical imaging data. Clinical Trial Collabora�on: The hospital ac�vely par�cipates in clinical trials to advance medical research. The interoperability engine extends its capabili�es to integrate with external clinical trial databases. Pa�ent eligibility criteria, enrolment status, and relevant trial data are exchanged between the hospital's systems and external databases, fostering collabora�on, and suppor�ng research ini�a�ves. Data Format: CDISC were used to define communica�on protocols for clinical trial pla�orms. EMR and EHR Integra�on: The interoperability engine enabled bidirec�onal communica�on between the EMR and EHR of Epic Systems, ensuring that pa�ent records are consistent across both pla�orms. Health updates, medica�on changes, and treatment plans ini�ated in the EMR are instantly reflected in the EHR, providing a unified view of pa�ent informa�on. EMR (Electronic Medical Records) Data Format: Con�nua Health Alliance standards (such as IEEE 11073 and ISO/IEEE 11073) were used for RPM data, defining communica�on protocols for health devices. EMR (Electronic Medical Records) Interoperability File Format: HL7 messages encoded in XML or JSON format, following the FHIR (Fast Healthcare Interoperability Resources) standard for modern interoperability. EHR (Electronic Health Records): HL7 FHIR resources encoded in XML or JSON format. FHIR resources were used for provider, pa�ent and lab informa�on exchange including Pa�ent, Encounter, Observa�on, and others.
  • 4. Outcomes Delivered: Complete data interoperability with compliance to the FDA interoperability standards End-to-end data inges�on, management, processing, and distribu�on ecosystem Hospital chains were able to export data with on-call APIs to the Clinical Trials organiza�ons We delivered enhanced pa�ent care, streamlined workflows, and delivered research collabora�on STANDARDS DICOM, HIPAA, FHIR, HL7 v2, CDISC, Con�nua Health Alliance Standards FILE FORMATS HL7 (v2 and FHIR), XML, JSON, .dcm, JSON, CDA based XML, ODM in XML, SDTM-XML, CTR-XML marke�ng@aimdek.com