
Designing and Developing World Class Research and Clinical Architecture
InfoClin brings the knowledge, experience and expertise to deliver world class research and clinical systems that integrate clinical data from multiple EHR | EMR systems.
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STEP 1
Define Client's Goals |
STEP 2
Document Project Constraints |
STEP 3
Develop Design options Select Standards |
STEP 4
Refine and Communicate Design |
STEP 5
Implement Design |

Examples of completed and on-going projects:
Project: COMPETE II (http://www.compete-study.com/)
Project Description: Architecture for integrating a diabetes tracker into multiple primary care EMR systems
Client: McMaster University and St. Josephs Hospital
Project Documents:
http://www.cmaj.ca/cgi/content/full/181/1-2/37
The COMPETE II Diabetes Tracker
Project: COMPETE III (http://www.compete-study.com/)
Project Description: Architecture for Integrating a diabetes and vascular disease tracker into multiple primary care EMRs
Client: McMaster University and St. Josephs Hospital
Project Document:
The COMPETE III Randomized Trial
Project: High Blood Pressure Initiative (
Project Description: Architecture for integrating a high blood pressure data collection tool into multiple primary care EMRs
Client: Heart and Stroke Foundation of Ontario
Project Documents:
Project: Blueprint 2015 (http://www.infoway-inforoute.ca/)
Project Description: Update of architecture for Canada's electronic health record
Client: Canada Health Infoway
Project: CPCSSN Canadian Primary Care Sentinel Surveillance Network (http://www.cpcssn.ca/)
Project Description: Architecture for collecting, cleaning, de-identifying and centralizing primary care EMR data from across Canada for chronic disease surveillance and research.
Client: College of Family Physicians of Canada
Project Documents:
http://www.cpcssn.ca/cpcssn/home-e.asp
http://www.ncbi.nlm.nih.gov/pubmed/21335734
National Chronic Disease Surveillance Network
Project: CEDRN Canadian Electronic Drug Research Network
Project Description: Architecture for collection, cleaning, de-identifying and linking data from EMRs, hospitals and pharmacies for prospective comparative effectiveness studies on drugs.
Client: McMaster University