Was Your Data Platform Ready for the Pandemic, Social Determinants...
This Week Health: Newsroom
English - January 29, 2021 16:00 - 7 minutes - 4.84 MB - ★★★★★ - 5 ratingsMedicine Health & Fitness Technology health it healthcare technology cio cmio interoperability news Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
How are you doing on my data maturity scale. Four steps.
- First you use your data well
- Integrate and use others data well
- Use each others data well
- Invite larger community to innovate on the data set
Mayo is demonstrating all four from what I can tell right now.
FTA
The first step involved building a solid foundational data layer so disparate data sets could be combined in a meaningful way.
There are three keys to getting the foundational data layer right, said Ilia Tulchinsky, the engineering director for Google Cloud Healthcare and Life Sciences, during the webinar:
- Integrating data from multiple systems of record, both in large batch updates and incremental real-time updates
- Harmonizing data to common standards and schema such as Fast Healthcare Interoperability Resources, or FHIR
- Modeling data for use in AI and ML applications
“Bringing the right data at the right time in the right way to a busy healthcare practitioner is paramount to the overall success of AI and ML endeavors.” Tulchinsky said.
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How is your health systems data strategy on this scale?
How are you doing on my data maturity scale. Four steps.
- First you use your data well
- Integrate and use others data well
- Use each others data well
- Invite larger community to innovate on the data set
Mayo is demonstrating all four from what I can tell right now.
FTA
The first step involved building a solid foundational data layer so disparate data sets could be combined in a meaningful way.
There are three keys to getting the foundational data layer right, said Ilia Tulchinsky, the engineering director for Google Cloud Healthcare and Life Sciences, during the webinar:
- Integrating data from multiple systems of record, both in large batch updates and incremental real-time updates
- Harmonizing data to common standards and schema such as Fast Healthcare Interoperability Resources, or FHIR
- Modeling data for use in AI and ML applications
“Bringing the right data at the right time in the right way to a busy healthcare practitioner is paramount to the overall success of AI and ML endeavors.” Tulchinsky said.
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How is your health systems data strategy on this scale?