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Hi, I'm Todd and I'm here to talk to you about how big data and
advanced analytics solutions can transform healthcare.
I'm sure that you would agree that healthcare is rapidly transforming.
However, when it comes to health systems around the world today,
most are good at caring for the very sick, but
fall short at keeping people well, or
at helping to better manage things like chronic disease conditions.
Most health experts and consumers agree that current health systems
are not geared toward meeting the current and future health needs.
Providing the best patient care possible while controlling cost
is at the core of every health organizations' mission.
However, pressing challenges often stand in the way, constrained
budgets, new payment models, rapidly evolving security threats,
regulatory mandates and overextended staff.
These and other factors are leading to a fundamental transformation of
healthcare, which will inevitably necessitate strategic decisions,
impacting healthcare providers' service delivery models and
underlining competencies.
It is now clearly recognized as crucial to operating efficiency,
effectiveness and competitive differentiation.
It is also an essential ingredient of transformation.
Today, technology is radically shifting how physicians and
patients interact.
We need to empower care teams,
enable patients to interact in new ways, optimize operations and
transform patient care, and enable personalized treatment.
Health organizations need solutions that can help them take advantage
of all the first and third party data that they have.
We've heard from our customers that they want to use advanced analytics
and big data to improve business processes and
increase competitiveness.
But building intelligent solutions is difficult, time consuming and
expensive.
Many health organizations are also not up to the challenges
of identifying and prioritizing what types of insights
would be most relevant to the organization and
how they use advanced analytics to solve business problems.
We have several ways to get health organizations started.
We'll talk about three of these ways in the rest of this video.
The first option
is the recently announced Cortana Intelligent Solution template.
This template simplify your journey
to an intelligent business application.
They allow for rapid prototyping of common advanced analytic scenarios
with a screen blind deployment experience, domain specific machine
learning models and trained partners to get started with.
Think of the template as a guide to help you get started.
However, if you want fully finished apps that you can easily get started
with, Microsoft has worked with domains specialist partners
to build finer solutions that let you get started and unleash advanced
analytics easily, for example, the apps from KenSci and CGI.
Let's first look at the solution template.
The hospital length of stay template allows you to improve patient care,
experience with machine learning.
You can improve patient experience and streamline hospital operations
by better predicting patient visit, duration and resource consumption.
The solution identifies drivers of inpatient,
visit duration, intensity and resource usage patterns and
matches new transactions to similar past cases.
You can also incorporate forecast into staffing, procurement and
asset allocation decision.
So let's look at how this works.
So let's take a look at the template predicting length of stay
in hospitals.
Here, we have some summary description, and
also we talk a little bit about the two personas,
the chief medical information officer and
the care line manager that would be involved in utilizing this template.
To utilize and try it, first, we click on Try It Now.
And here we can see the CMIO Weekly Report,
allowing him to view by ward and the patient count,
by condition and also the number of days left,
so they can very easily see the capacity, the patient count, and
the daily capacity admitted.
The second persona, the care line manager, has a similar
view looking at the number of days left, the total capacity, but
also breaks it down more by the days and the various issues that
the readable encounters that those patients have and also provides
a list of patients for each one of those days of utilization.
So once you've reviewed the template,
we can easily deploy it by clicking on Deploy the Solution.
So now that we've looked at the template, let's talk about KenSci.
As Healthcare shifts to a value-based model,
providers are increasingly under pressure to provide
more proactive care, improve outcomes and lower cost.
The clinical analytics solution built on Microsoft Cloud technology
enables providers to do all three.
Clinical analytics applies machine learning to help providers shift
through oceans of data in order to accurately predict which patients
are at higher risk, what a patient's modifiable risk are and
how to provide the most effective care for each individual patient.
It does this by leveraging over 180 prebuilt machine learning models,
the 9 millions of records from public and
consumer data sets like claims, EHR, admission discharge and
transfer, ADT, financial and patient general data,
delivering a substantial ROI in just 12 weeks.
The next one is CGI ProperPay for claims analytics.
It is a data driven solution that predicts, identifies, manages and
recovers medical claims that have been improperly paid.
With ProperPay, you can predict hidden patterns and
anomalies within the entire claims data universe
to identify claims with the highest potential for recovery.
Advanced analytical techniques detect trends and patterns to
identify improper payment scenarios and select cases for review.
The system uses claims data in combination with other data sources
such as audit results to refine targets.
Through machine learning, patterns and trends where I learned and
applied to refine approaches to reduce false positives and
create efficiencies.
Finally, Tribridge, effectively coordinating patient care is one of
the most pressing challenges facing the healthcare industry, today.
Because patients see a variety of caregivers, primary care physicians,
specialists, nurses, emergency room personnel, home care providers and
more, their medical information is scattered across multiple databases.
Care coordination empowers care teams to work cohesively and
enables care that is proactive rather than just reactive.
This both makes care more effective and reduces unnecessary procedures.
Ultimately, care coordination works to help care teams achieve
the goals of value-based care, improved patient health,
improved patient experience and of course reduced cost.
So we've looked at several examples of partners that are building
solutions that take the wealth of data you collect and
do something valuable with it, giving you real time and
intelligent insights, so you can make a decision faster, better and
with more data-driven confidence.
Health organizations can accelerate their time to value with Microsoft
advanced analytics because of our solution-driven approach.
We want to take the care of heavy lifting, so
that you can use the built-in intelligent capabilities of our
solutions to add value as soon as possible for your organization.
Our applications and
templates are built on the secure trusted Azure platform.
And finally,
we want to work with you wherever you are in your analytics journey.
Our solution will work with what you have, any platform,
any language, on premise and in the Cloud, it's easy to get started.
Most of the solutions that we've discussed today
have accessible demos and trials.
To find out more, go to Cortana Intelligent Gallery to find out
about the new healthcare vertical solution template and
get started with the health finished solutions at
AppSource.microsoft.com, thank you.
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