We sat down with Brad Porter, Chief Executive Officer of Orion Health, at HIMSS 2023. Discover the groundbreaking announcement of their new health intelligence platform, Orchestral. Learn how Orchestral leverages data science, machine learning,…
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By Hannah Nelson
May 08, 2023 – Encounters are a heterogeneous component of EHR data, limiting the full potential of leveraging real-world data for clinical research, according to a study published in JAMIA.
Researchers demonstrated the successful…
At the recently concluded Arab Health 2023, Presight AI signed an MoU with G42 Healthcare, an artificial intelligence (AI) healthtech company based in Abu Dhabi, to develop a foundational big data model.
Leveraging Presight’s omni-analytics…
In todays fast-paced world, it is easy to miss out on important information, especially if you are trying to keep up with a lot of different sources. That is where the daily digest comes in – it is a tool that compiles all the posts created on the previous day, providing you with a convenient summary of everything that happened so you can stay informed, educated, and engaged with the Digital Health world around you.
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HEALTHTECH: Can you talk more about your upcoming HIMSS 2023 session? What do you hope to learn at the conference?BROOKS: You’ll hear anecdotes about how moving toward a unified data model is and isn’t…
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What You Should Know:– Accenture published Fast-Forwarding Healthcare through Data Collaboratives Report to discover how best health ecosystem players access data to fast-forward healthcare.– Data generated by technical and scientific advances, like connected health…
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openEHR is an open standard specification in health informatics that describes the management and storage, retrieval and exchange of health data in electronic health records (EHRs). In openEHR, all health data for a person is stored in a “one lifetime”, vendor-independent, person-centred EHR. The openEHR specifications include an EHR Extract specification but are otherwise not primarily concerned with the exchange of data between EHR-systems as this is the focus of other standards such as EN 13606 and HL7.
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The OMOP Common Data Model allows for the systematic analysis of disparate observational databases. The concept behind this approach is to transform data contained within those databases into a common format (data model) as well as a common representation (terminologies, vocabularies, coding schemes), and then perform systematic analyses using a library of standard analytic routines that have been written based on the common format.
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