by
Lauren Dubinsky, Senior Reporter | May 04, 2015
2. Risk stratification of patients based on cardiovascular risk assessment tools.
3. Discrete data based design. More than 4,000 discrete data elements from OMS Diagnostics and additional 1,000-plus data elements from OMS EHR tightly integrated unified database.
4. Cardiovascular studies generated in OMS Cardiovascular diagnostics module can be viewed and signed off from within OMS EHR.
5. Integrated database with OMS Diagnostic module. Capable of generating clinical decision rules integrating both clinical and diagnostic data elements.
6. Clinical Quality Measures specifically chosen to assist cardiovascular care settings.
7. Built in form factors like templates, voice dictation, voice transcription and text type.
8. It’s integrated with Intelligent Medical Objects for ICD-9/10 and CPT codes to assist CPOE, Surescripts for eRx, refill requests, Rx history and formulary, Nuance 360 voice recognition to enable seamless dictation and real time transcription, Updox for direct message exchange and First Databank for drug database search.
9. The OMS iOS app is integrated with Nuance and provides the ability to review the chart, dictate into the chart as well as finalize reports. (Product being completed)
10. Vendor Neutral API architecture, can service data requests from third party systems through the REST protocol.
DOTmed News: When it comes to health information technology, are cardiologists facing any significant challenges right now?
VN: Yes, systems are largely generic, no intuitiveness in user-interface design, diagnostic reporting is largely chart based and offers no real clinical value in providing real time contextual intelligence to the physician by integrating with clinical data.
DOTmed News: What do you think the future of cardiology HIT will look like?
VN: Cardiovascular medicine is on the cusp of an exciting transition towards data integration, analytics and real time patient surveillance. In 2010, the total costs of cardiovascular diseases in the U.S. were estimated to be $444 billion with the treatment of these diseases accounting for about $1 of every $6 spent on health care in this country.
Given this huge cost outlay, the information technology sector will evolve products, services and delivery models to improve data services to enable physicians to manage their patient populations with less risk and higher quality at a lower cost.
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