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Myths, good Bets, and Realities: Breaking the Health Digital Deadlock through Big Data and AI Silvia Piai, IDC HIMSS Impact 2017 © IDC

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Myths, good Bets, and Realities: Breaking the Health Digital Deadlock through Big Data and AI

Silvia Piai, IDC

HIMSS Impact 2017

© IDC

Are Healthcare Systems Stupid?

2

73 the number of days it will take for medical knowledge to double by 2020

80%

of the world's healthcare data is unstructured

1,100 Exogenous data

Genomic data 6Clinical data 0.4

In a lifetime, an average human will generate (in TB):

Source: "The Relative Contribution of Multiple Determinants to Health Outcomes," 2014"Challenges and Opportunities Facing Medical Education" https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3116346/

Globally, 480 000 people develop multi-drug resistant TB each year

Complexity Further Increases When We Look at the Questions Healthcare Systems Need to Answer

3

Growing impact of non-communicable diseases on

healthcare services demand:

77% of the disease

burden

Need to act on a complex ecosystem of determinants

Seven leading risk factors

account for almost 60% of

all ill health

*WHO data for the European region

The number of people reporting unmet need for health care in the EU had risen to 18 million

Why Value Based Healthcare Matters?

4

3

2

1

Value Based

Healthcare paradigm

changes the

healthcare business

model shifting the

focus on performance,

quality and experience

Identify and assemblerelevant data

Target Population & Objectives

Coordinate care and Target Interventions

Measure outcomes and Pay for Value

© IDC 5

Healthcare Digital Transformation: Transforming DecisionMaking with Technology

A new level of understanding and use health data across the health value chain

Clinical Decision Support / Evidence-based Medicine

Integration of clinicalpathways

Population risk Stratification

6© IDC

A Big Data and AI Augmented Scenario for DecisionMaking and Information Delivery

Optimization of resources and turnover

Patient engagement

Compliance and reporting on quality of care

Big Data Top 3 Use Cases Artificial Intelligence Top 3 Use Cases

Source IDC Western European Vertical Survey November 2017 Healthcare respondents: 204

7© IDC

Addressing Key Issues, Delivering Value

The Shared Care Platform

Hospital Big Data and machine learning systems designed to forecast admission rates

Shared care platform for supports a cross sector collaboration between GP, the municipality and

the hospital

Public Health: mapping antibioticsoverprescription and poor treatment adherence

to address antibiotic resistance

© IDC 8

Big Data and AI are Pivotal in the Value BasedTransformation, but Adoption in Europe is Uneven

30%

7%

7%

7%

Big Data

ArtificialIntelligence

Adopted Investing

“By 2021, 20% of WW

Healthcare and 40% of

Life Science Organizations

Will Have Achieved 15–20% Productivity Gains Through the Adoption of Cognitive/AI Technology”

IDC FutureScape 2018

Source IDC Western European Vertical Survey November 2017 Healthcare respondents: 204

Organizations are Facing Several Challenges

9© IDC

© IDC Visit us at IDC.com and follow us on Twitter: @IDC

10

Look twice Before Leaping Forward

Job/Role Impact

Privacy/Security

Reputation

Decision Making

What are we Getting Wrong?

11© IDC

Let’s have a Step Back Big Data and Analytics Services and Workflows

© IDC Visit us at IDC.com and follow us on Twitter: @IDC

12

BUSINESS PROCESSINFO PROCESSINGDATA ACQUISITIONDATA CREATIONEND USERSANALYSTS / SCIENTISTSARCHITECTS / ENGINEERSPRODUCERS

Shared Nothing

Scale-out Storage + SSD

MPP + In-Memory

Compute

Hadoop

Hi-Speed / -

Resiliency

Networking

Converged

Infrastructure

Cloud

Non-relational

DWH

SYSTEMS INTEGRATION

VO

LUM

E VELO

CITY V

AR

IETY

OBJECTIVES

Stream Processing

Event Management

Data Exploration

Contextualized Data

Modeling / Scenarios

Forecasting

DELIVERY MODELS

Access-Anywhere

Analytics Services

Context-Aware

Business Applications

ON-DEMAND

Location-Based

Services

Alert and

Respond

PUSH

Workflow and

Interaction

Automation

Smart devices

and systems

EMBEDDED

Email and

Messaging

Mobile Apps Data

Transaction and

Usage Logs

Machine and

Sensors

Geolocation

Relationships and

Social Influence

Real-time Events

Deep Insights

VA

LUE

The Unavoidable Case for a New Healthcare Information Management Framework

13© IDC Visit us at IDC.com and follow us on Twitter: @IDC

Business Strategy

Defining strategic outcomes in the converged scenario, defining stakeholder roles in the achievement of strategic goals including their

incentives (or misincentives) in pursuing the strategy

Information Governance and Process

Defining and implementing an information management approach regulating: • information ownership (e.g., patient consent management)• information quality assurance• information access and use• knowledge management and collaboration

Enterprise Information Architecture

Data models and formats, entities and attributes, interoperoperabilty, and integration

Technology: user interfaces, application, infrastructures

Decoupling data and applications by establishing specifications for:

Which Organization for Healthcare Strategic Objectives?

14

Source IDC Western European Vertical Survey November 2017 Healthcare respondents: 204

Top Business priorities for Western European Healthcare Providers

69% SECURITY:

Strengthening detection and resilience capabilities

63% PERFORMANCE: Increasing

productivity/efficiency, improving quality

63% REGULATIONS: Managing regulatory

compliance

41% PATIENTS:

Improving patient experience

Aligning the organization is essential

Big Data are still perceivedas «special projects» within

specific departmentsIT-Line of business dicotomy

Information Governance and Architecture : Ensuring data liquidity and security

Creation

Sharing & Access

AnalysisArchival, Recovery

& Retrieval

Disposal

15

Data format and organization

Agile data management

Improved user experience

Addressing the fragmentation

Separating data and applications

Data liquidity

Focusing on heath information lifecycle

Those Who Thrive Will be the Organizations That

16© IDC Visit us at IDC.com and follow us on Twitter: @IDC

Incorporate new data sources and ensure qualityData

People Multidisciplinary teams: data stewards, data scientists, experts for interpretation

Tech Define new architectural standards

ProcessReengineer business processes and maintain a close-loop learning environment

StrategyElevate data management to a strategic level

Thank you!

Questions?

Silvia Piai

Sr Research Manager

IDC EMEA

Email: [email protected]

Twitter: @SilviaPiai_IDC

www.idc.com

17© IDC