Cognitive Medical Systems achieves profitability in 2012, secures $3.7 million in contracts – Healthcare Software Company poised to lead the Clinical Decision Support Market Segment with its standards-based approach –
SAN DIEGO – January 7, 2013 – Cognitive Medical Systems, a specialist in standards-based clinical decision support software, announced that it achieved profitability in 2012, after only 18 months in operation. The company has secured $3.7 million in contracts and is poised to be a leader in driving clinical decision support standards for the healthcare industry.
“We’ve grown three-fold in the past year and just opened up a new office,” said CEO Mary Lacroix. “Clinical Decision Support is something that virtually every healthcare provider will have to be looking at if they’re not already. And some of the solutions already out there are proving inadequate because they don’t focus on the patient or the provider. That’s where Cognitive excels. We pay attention to human factors — the experience of the provider and the patient interacting with our software. If you improve and simplify the interaction between the software and the person, you’re likely to get better outcomes that are based both on human experience and hard data.”
Cognitive Medical System’s client base includes such industry trend-setters as the Department of Defense, the Veteran’s Administration, and the National Science Foundation. In addition, they have partnered with the University of North Carolina’s Neonatal Intensive Care Unit to create a lab where quality improvement initiatives can be managed through Apple iPad devices.
“We’ve executed our plan towards rapid profitability on a bootstrapped model that utilized no outside capital financing,” said Douglas W. Burke, President of Cognitive Medical Systems. “This has kept us focused on both serving the marketplace and building company value. And, it’s made us attuned to building technology platforms and services that will improve both healthcare and health quality. We’re excited for our future and the potential impact of our clinical decision support systems.”