patient, Phreesia can show them things
our records indicate they need.”
Alongside Carebrige, there has been
other behind the scenes work such as
implementing RPA for repetitive tasks to
free up staff and automating scripts for
appointment-making.
“We’re using open-source Python
programming language to write many
different algorithms for high-risk patients.
Every night we have scripts running to
show each patient that has cancelled
or not shown up to an appointment in
the last 10 days and not rescheduled.
That generates reports by provider and
inputs them directly into a Microsoft
Teams channel, so that when staff come
in the next day, they have this prepared
in front of them, with patient identifica-
tion and contact information.
“We’ve got this big SQL Server data-
base that we’re making actionable using
Microsoft Power BI,” adds Queen. “This
has given us the ability to share all this
advanced data logic in a way that is very
unintimidating and very visual to front-
line staff. It’s been transformative for
our workflow”.
Queen adds that none of these achieve-
ments would have happened withoutadvanced clinical queries, and export the
data immediately. We’ve really empow-
ered staff across the organization to be
able to get advanced clinical information.”
To implement CareBridge, Queen and
his team worked with software as a
service (SaaS) company Phreesia, a key
partner in carrying out Memorial Health’s
digital strategy. “They have some great
educational modules, check-in tools, and
electronic registration tools for patients.
They’re working with us on identifying
care gap needs and building an interface
directly to Phreesia so that, during that
electronic registration process for the
DID YOU KNOW?By implementing
supplemental data feeds
directly to our payers,
we immediately saw
diabetic A1C compliance
rise by 369%. Because
of better data, we were
able to get credit for the
great work we were
already doing
operationally.347technologymagazine.com