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Instructor: Healthcare data is often scattered
across different providers and platforms,
making it hard to get a complete picture
of a patient's health journey.
This slows down decision making, extends costs,
puts additional strain on the workforce.
It makes it difficult to deliver seamless personalized care
to patients.
We'll show you how Remy,
a director of data innovation addresses these problems
with Microsoft Cloud for Healthcare
in the new Microsoft Fabric
with AI and business intelligence that empowers teams
to unlock their data potential
to help drive timely insights.
Remy starts in Microsoft Fabric.
Within the healthcare data solutions,
we see the capabilities Remy can leverage
to aggregate health relevant data from various solutions.
These capabilities create a data foundation for analytics,
enable collaborative apps and support AI applications
to improve workflow inefficiencies
and operational challenges across Remy's organization.
With these healthcare specific capabilities
within Microsoft Fabric, Remy can centralize and curate data
within a unified govern hub.
This helps ensure all teams are drawing insights
from a single secure source enabling Remy to continue
transforming the data and expanding the connectivity
by enriching data through the levels of bronze, silver
and gold Lakehouses.
With a single enriched data source,
Microsoft Fabric empowers data analysts like Dani
to support clinicians and generate reports
with near real-time insights using natural language.
This helps create a 360 degree view of patients.
It informs more in-depth care management programs.
It highlights areas for improvement.
It also ensures clinicians can confidently use
protected health data at scale in patient population groups,
clinical trials and across care transitions.
Using AI to create clinical trial cohorts
could be in life-changing for patients like Patti.
Historically, the time taking to visit multiple specialists
in her diagnosis journey can be considerable.
Thankfully, Patti's care team can now access
secure connected data.
They've used a clinical trials matcher AI bottle
to help trials align to her conditions.
This empowers her care team to review, purpose
and explain clinical trials for which Patti is eligible.
Microsoft Fabric and the rich range of healthcare
Azure AI services break down traditional data silos
all adhering to industry standards
to the principles of responsible AI.
We saw how Remy used Microsoft Fabric
with some healthcare Azure AI services
to enable a single source of truth that speeds up
decision making.
Dani supported clinicians by generating reports
with real near-time insights using natural language.
Lastly, we saw how clinical trials matcher
empowers Patti's care team along with enriched data and AI
to align trials to her conditions
all while minimizing the strain on the workforce
and helping to reduce costs.
Better experiences, better insights, better care
with Microsoft Cloud for Healthcare.
Learn more at aka.ms/cloudforhealthcare.
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