Data ecosystemsin a post-EMR implementation era

Systemsof records

Systemsof engagement

Systems of insights

Towards Health Data Eco-systems

Personal health data & consumer services

Environmental & other open data

Electronicmedical records

Nationalrecords,

ERP, CRM

Medical devices& sensors for ambient

intelligence

*omics data

Health DataEco-systems

PREDICT DISEASE PROGRESSION THROUGH PERSONALIZED MEDICINE

5

Accelerating research,enabling Data Commons

Azure Security and Compliance

Blueprint for Health

“Artificial intelligence represents

one of technology’s most

important priorities, and

healthcare is perhaps AI’s most

urgent application”

Satya Nadella

CEO, Microsoft

AI: Amplifying Human Ingenuity

Perception Comprehension

8

Speaking the language of healthcare

Immunosequencing Machine Learning Universal Diagnostic

Blood sample Immunosequencing Machine learning Universal diagnostic

Antigen Map Project: toward a universal diagnostic

Speaking the language of healthcare

Healthcare Bot service has built-in healthcare AI that communicates intuitively in a healthcare context

Integrates medical content from trusted sources including

information on conditions, symptoms, specialists,

medications, procedures and triage protocols

Understands healthcare intents by leveraging built-in

language understanding models and incorporating

healthcare terminology

Handles interruptions, topic changes, human error,

and complex medical questions with built-in

contextual intelligence capabilities

Helping patients easily triage symptoms and locate nearby care centers

CHALLENGE

Aurora was looking to help reduce the number of

triage calls to nurse lines while providing details on

healthcare locations and an easier way to schedule

appointments.

SOLUTION

Aurora implemented the Healthcare Bot service to combine

a symptom checker with a care location finder. Combining

these two services provides patients with quick, easy access

to healthcare information and helps them receive proper

care.

BENEFITS• High ratings in usability tests

• High level of engagement

• Fast implementation and integration time

« Here at Merck, innovation is

at the heart of everything we do.

We used the Microsoft Bot

framework to help build

new solutions for scientists. »

Gopinath Janakiraman

Director of IT Architecture, Merck

Empowering scientists and researchers

Access to expertise in remote hotspots

Large body features

Highly diverse feature space

No standard clinical classification available

Not always possible to have lesion edge on picture

Leprosy problem space = Perfect challenge AI

Speaking the language of healthcare

AzureDigital Research Environment

• Research in Pharma, Hospital, Biotech, and

Universities struggle with dated IT infrastructure and

pace of technology

• Access to modern tooling is limited and rollout of

innovation is slow

• Compliance, Security, and Collaboration a major

headache for IT

• Single uniform analytic platform that scales and “has

the latest” is key to competitive edge

Collaboration and Intelligence with the patient at the centre

26

MOVE BEYOND TRADITIONAL CALL CENTER TO PATIENT ADVOCATES

Design AI to Earn Trust

27

Confidential Computing

At rest

In transit

In use

Empower health

organizations to

achieve more

ENABLE

PERSONALIZED CARE

EMPOWER

CARE TEAMS

IMPROVE OPERATIONAL

OUTCOMES

Offering a flexible, scalable

and compliant health cloud

Cultivating health innovation

with expert partners

Uniting disparate systems

across a common platform

Reimagining HealthcareBetter experiences. Better insights. Better care.

10/10/2019

Microsoft for HealthcareBetter experiences. Better insights. Better care.

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