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In this video, President Jay Nakashima explains the role they play, particularly in publichealth, scaling FHIR and TEFCA. eHealth Exchange is working with the industry and with regulators to improve response rates so publichealth agencies can get the data they need to protect Americans health.
Security Report: " The New Healthcare Ecosystem will depend on FHIR APis, but Are They Secure? The point we should take from this research is that EHRs are doing a good job of securing their FHIR implementations FHIR is good and worthy There is room for improvement in some implementations There are included recommended improvements.
He also tweets his own comments on Twitter @EricTopol , which have become must-click insights into the COVID-19 pandemic from the inception of the publichealth crisis.
Post-pandemic, the consumer’s priority purchases are grocery, nesting, and health, according to David Shah, a leading thinker about social and design trends. David presented the latest Pantone forecast on color and society in NewTopia – A Balance of Color Opposites – Color for a Post-COVID World this week.
Bulk Data Access The addition of a Bulk Data Access in #FHIR was a hot topic at the San Diego workgroup meeting. But one can imagine from this that one use-case is PublicHealth reporting, or Clinical Research data mining, or Insurance Fraud detection. Might be time to dust off a concept that hasn't been discussed for a while.
At the same time, Lynn says it was refreshing to hear a technology CEO focus on how a national EHR database would benefit primarily benefit patients and publichealth efforts. Read more… Where Are We At With FHIR? Finally, the 1upHealth executives address whether we can expect another standard to follow FHIR.
To simplify the question, is Epic going to give Oracle Cerner access to all their health records? I think we all know the answer to that and FHIR and all these other standards won’t get us there either. The second group to benefit from this National EHR Database was publichealth.
This presents a key challenge to CIOs and data leaders at healthcare provider and payer organizations: Access to this valuable data and making it actionable without inserting risk. This will further endeavor to cement FHIR as the data standard to support future information exchange. Ben Herzberg, Chief Scientist at Satori.
Andy Oram discussed how adopting FHIR should be a no-brainer for better publichealth data collection and sharing – and how that must be followed up with standards for what data should be collected and shared. The industry’s concerns about AI aren’t entirely new, but process automation presents a new wrinkle.
HL7 FHIR - Fast Healthcare Interoperability Resources (FHIR, pronounced "fire") is a draft standard describing data formats and elements (known as "resources") and an application programming interface (API) for exchanging electronic health records. What is a Hype Cycle?
What’s on the horizon for Clear Arch Health’s growing EHR/EMR systems integration, including implementation of reputable HL7/FHIR standards for exchanging health care information electronically, using common formats and terminology.
Regulation is ever present, and growing - even at times of crisis, regulatory requirements can’t be ignored, both in terms of todays requirements in areas like patient identification and in rapidly emerging requirements like FHIR and SNOMED standards.
FHIR-based API usage by Payers (Government and Commercial) in the next few years will usher in enriched datasets to TEFCA networks. There is a need for partnership between public-private players to develop patient engagement applications (SMART on FHIR) for better access to data.
COVID-19 forced a spike in policy-makers’ interest and willingness to invest in publichealth; a spike that is unfortunately retreating to the old business as usual. I consulted several experts in health IT to ask how such IT could improve data collection and sharing in publichealth.
By streamlining workflows and identifying publichealth trends, AI fosters better population health management. Complexities in data standardization and process integration present substantial hurdles from a cost and effectiveness perspective.
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