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There has been an increasing number of patients with multiple
medical conditions in need of anti-coagulation treatment (ACT)1.
Two groups of Oral anti-coagulants (OAC) are Vitamin K
Antagonists (VKA) and New Oral Anti-Coagulant (NOAC).
Care models to monitor International Normalized Ratio (INR)
• Conventional process
• Near-Patient Testing (NPT)
• Self-Testing (ST) and Self-Management (SM)
Healthcare IT as evolving industry, came up with the idea of
computerized Clinical Decision Support System (CDSS).
Materials and Methods Conclusion
The usability and technical feasibility to transfer clinical decision support system
for oral anti-coagulation treatment from the Netherlands to run in Estonia
Hany Mina
Institute of Cardiovascular Medicine, Tallinn University of Technology, Estonia
hany.mina@ttu.ee
Bibliography
• Enterprise Architecture of the CDSS-AC current model, NL
• Focus unstructured interviews with clinicians & IT specialists
In anti-thrombosis clinic (Ede, NL) & ITK hospital (Tallinn, EE)
1. Heart Disease and Stroke Statistics—2011 Update A Report from the American Heart Association
Circulation, 123(4), e18–e209
2. Heneghan, C., Alonso-Coello, P., Garcia-Alamino, J. M., Perera, R., Meats, E., & Glasziou, P. (2006). Self-
monitoring of oral anticoagulation: a systematic review and meta-analysis. The Lancet, 367(9508) 404–411
3. F.Ryan, et al, (2009) Randomized controlled trial of supervised patient self-testing of warfarin therapy
using an internet-based expert system. Journal of Thrombosis and Hemostasis, 7:1284-1290
• CDSS-AC can support and validate the workflow efficiently at
the anti-thrombosis clinics and work as Tele-monitoring tool
• Technical possibility was found feasible to connect CDSS-AC
in Netherlands with the HIS of providers in Estonia
• CDSS-AC was seen to pave the road for better patient
engagement with those who follow ST and SM approaches
• The disparity of the access security standards can be overcome
but the finance availability might slow down the deployment
Introduction Results
Research Objective
Objective: Transferring a fully-functioning CDSS-AC
provided by eHealth vendor in the Netherlands into the
anti-thrombosis clinic in Estonia.
• To investigate the benefits of using CDSS-AC in anti-
thrombosis management as e-service from user’s perspective
• To assess the technical feasibility to integrate medical data
between eHeath vendor in Netherlands & healthcare provider
local HIS in Estonia
Integrated Care
System
Clinical Data
Data Extractor
CDA/FHIR repository
Clinical Data
Warehouse
BI & Reporting
User
Interface
SSO
Publishing Server
Patient
Centric
IHE
Subscription
Network
Patient Health
RecordsCDA/FHIR repository
Decision Support
(Classification
Algorithm-based)
Publish
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
HL7
msg
Data Flow
Trigger
HL7 (CDA, FHIR, ...
clinical messages
HL7
msg
Patient Access &
Consent
• CDSS-AC can be scaled up to work efficiently with such large
number of patients following different care models
• CDSS-AC Fits also as Tele-monitoring platform & workflow
optimizer
• CDSS-AC, in the Big Data era, can retrieve clinical and non-
clinical data for more precise decision support
• It is feasible to integrate data between CDSS-AC in the
Netherlands and Estonian local HIS
• Interoperability standards are of high importance for
successful integration and proficient usability
• Unifying the security standards to access both systems can be
overcome by very complex solutions but it’s possible
• Financial resources might be the limiting factor to implement
CDSS-AC at the current stage in Estonian healthcare provider
facilities

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Transferring Clinical Decision Support for Anticoagulation

  • 1. www.postersession.com There has been an increasing number of patients with multiple medical conditions in need of anti-coagulation treatment (ACT)1. Two groups of Oral anti-coagulants (OAC) are Vitamin K Antagonists (VKA) and New Oral Anti-Coagulant (NOAC). Care models to monitor International Normalized Ratio (INR) • Conventional process • Near-Patient Testing (NPT) • Self-Testing (ST) and Self-Management (SM) Healthcare IT as evolving industry, came up with the idea of computerized Clinical Decision Support System (CDSS). Materials and Methods Conclusion The usability and technical feasibility to transfer clinical decision support system for oral anti-coagulation treatment from the Netherlands to run in Estonia Hany Mina Institute of Cardiovascular Medicine, Tallinn University of Technology, Estonia hany.mina@ttu.ee Bibliography • Enterprise Architecture of the CDSS-AC current model, NL • Focus unstructured interviews with clinicians & IT specialists In anti-thrombosis clinic (Ede, NL) & ITK hospital (Tallinn, EE) 1. Heart Disease and Stroke Statistics—2011 Update A Report from the American Heart Association Circulation, 123(4), e18–e209 2. Heneghan, C., Alonso-Coello, P., Garcia-Alamino, J. M., Perera, R., Meats, E., & Glasziou, P. (2006). Self- monitoring of oral anticoagulation: a systematic review and meta-analysis. The Lancet, 367(9508) 404–411 3. F.Ryan, et al, (2009) Randomized controlled trial of supervised patient self-testing of warfarin therapy using an internet-based expert system. Journal of Thrombosis and Hemostasis, 7:1284-1290 • CDSS-AC can support and validate the workflow efficiently at the anti-thrombosis clinics and work as Tele-monitoring tool • Technical possibility was found feasible to connect CDSS-AC in Netherlands with the HIS of providers in Estonia • CDSS-AC was seen to pave the road for better patient engagement with those who follow ST and SM approaches • The disparity of the access security standards can be overcome but the finance availability might slow down the deployment Introduction Results Research Objective Objective: Transferring a fully-functioning CDSS-AC provided by eHealth vendor in the Netherlands into the anti-thrombosis clinic in Estonia. • To investigate the benefits of using CDSS-AC in anti- thrombosis management as e-service from user’s perspective • To assess the technical feasibility to integrate medical data between eHeath vendor in Netherlands & healthcare provider local HIS in Estonia Integrated Care System Clinical Data Data Extractor CDA/FHIR repository Clinical Data Warehouse BI & Reporting User Interface SSO Publishing Server Patient Centric IHE Subscription Network Patient Health RecordsCDA/FHIR repository Decision Support (Classification Algorithm-based) Publish HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg HL7 msg Data Flow Trigger HL7 (CDA, FHIR, ... clinical messages HL7 msg Patient Access & Consent • CDSS-AC can be scaled up to work efficiently with such large number of patients following different care models • CDSS-AC Fits also as Tele-monitoring platform & workflow optimizer • CDSS-AC, in the Big Data era, can retrieve clinical and non- clinical data for more precise decision support • It is feasible to integrate data between CDSS-AC in the Netherlands and Estonian local HIS • Interoperability standards are of high importance for successful integration and proficient usability • Unifying the security standards to access both systems can be overcome by very complex solutions but it’s possible • Financial resources might be the limiting factor to implement CDSS-AC at the current stage in Estonian healthcare provider facilities