big data in healthcare - rx case

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Big Data in healthcare: Case study

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Page 1: Big Data in healthcare - Rx Case

Big Data in healthcare: Case study

Page 2: Big Data in healthcare - Rx Case

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The customer’s request

In order to support the reimbursement file of a new product in Belgium, our customer was looking to collect data related to a specific treatment in Belgium, such as:

• Epidemiologic data: number of patients, number of treated patients;• Data on treatment schedule and treatment adherence of current therapies;• Data on adverse events and related costs: admission in ICU, …

IM Associates has setup a concrete approach to collect and process the insights which will support the reimbursement file. At the same time, IM Associates’ proposed approach aimed at engaging the specialists (and their association) as main prescribers in the support of reimbursement.

© 2016 IM Associates

Page 3: Big Data in healthcare - Rx Case

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An observational study based on Posomind data (amongst others) with an active involvement of specialists.

Observational study

Adherence current

treatment

Adverse events

Market data

Government

Specialists Association

© 2016 IM Associates

Page 4: Big Data in healthcare - Rx Case

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A Posomind as data collecting and compliance improving device

© 2016 IM Associates

Posomind: a user-friendly device to remind patients on medication intake (patients confirm intake using one button)

• Programmed and follow-up by the pharmacist.• All medication in database

Functionalities:• Sound and vibrating alarm;• Name and drug posology;• Pack shot & drug picture;• Indication of the next upcoming alarm;• Prescription or buying renewal alarm;• Possibility to add specific drug related

comments;• Possibility to add non-drug related alarms;• Data captured in data warehouse with patient

consent.

Page 5: Big Data in healthcare - Rx Case

Data collected

• Type of clinical event• Date• Length of stay• Classification (APR-DRG)• Lab values (t.b.d.)

Survey

• Panel data of 200 patients• 10 participating centers• Collection process to be validated

Data collected

• Nr of patients in panel• Different medications taken• Treatment schedule - planned• Treatment schedule – followed• Intakes

Survey

• Panel data of 200 patients• 10 participating centers• Synchronization Posomind at each visit

to the sepcialists

3 types of data sources

5

Adherence current treatment

Adverse events

Data collected

• Nr of centers (# SPs; pats (example: diabetes patients; events;…)

• Population

Survey

• Desk research

Market data

Mapping & anonymization

© 2016 IM Associates

Page 6: Big Data in healthcare - Rx Case

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Primary endpoints of the study

© 2016 IM Associates

Endpoints 1. Overview of current treated patients

• Treatment schemes, poly-medications• % compliance• Adverse events (on Posomind patients / non Posomind patients)

• Number• Per type (APR – DRG)

• Laboratory values related to disease (on Posomind patients / non Posomind patients)

2. Epidemiologic data (Extrapolation out of panel):• Total patients • Prevalence / incidence (only diagnosed)• Treated / not treated• Adverse events

3. Cost study:• Correlation adherence & number of adverse events• Total costs of adverse events

Page 7: Big Data in healthcare - Rx Case

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Our customer is committed to provide a complete value proposition to its stakeholders

© 2016 IM Associates

Observational study

The government

The patients• Recognition of the specificity of their

condition• Less stress of missing the treatment

scheme• Improved knowledge & control on the

treatment (education)

The Health Care Professionals

• Improved knowledge on treatment & related costs

• Reputation & involvement in solution for the disease, taking into account economical aspects.

• Support in the register project• Improved knowledge on epidemiology,

current treatments & adherence• Involvement in solution for patient

adherence and education• Stronger relationship with patients

Patient support

Page 8: Big Data in healthcare - Rx Case

IM Associates offering

Powering the mobile health data

Page 9: Big Data in healthcare - Rx Case

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Today, hundreds of health-related apps, devices and wearables are being used by individuals or organizations.

Adidas MiCoach Heart Rate Monitor

Calorie Counter by Fat Secret

Fifty50 Glucose Meter 2.0**

Fitbit Charge

Garmin Forerunner 205

iHealth Wireless Blood Pressure Monitor

Withings Smart Body Analyzer

MapMyWalk

Insights are flowing from

these devices.

Health Apps

Wearables

Medical devices What is the potential value for

your organization

?

Page 10: Big Data in healthcare - Rx Case

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Getting high-value insights Engaging your customers

Creating beyond-the-pill value for patient

Mobile health data can bring high value in many area’s.

Engaging pharmacists

- Reinforce their role in treatment adherence

- Improve patient loyalty

Engaging prescribers & hospitals

- Create awareness through monitoring

- Support patient journey- Provide statistics

Supporting management of chronic diseases

- Diabetes, hypertension, BPCO,…

Scanning market potential

- Extrapolate patient statistics- Support forecasts

Analyzing patients dynamics

- Initiation- Switches & substitution- Treatment adherence

Managing studies

- Monitoring disease evolution- Collect treatment data

Engaging payers

- Support health-economic files- Build up cases through

observational study

Increasing treatment adherence

- For complex treatment schedules

Powering the mobile health data

Creating awareness

- Encourage better lifestyle- Monitor evolution

© 2016 IM Associates

Page 11: Big Data in healthcare - Rx Case

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The right expertise

IM Associates has the unique blend of expertise to help you design the right projects and create business value.

© 2016 IM Associates

Patient flow modelling

OTC & the pharmacist’s environment

Specialty care & hospital environment

Sociodemographic data

Focus on implementation

Why IM Associates ?

Mobile reporting solution

Geo-marketing tool

Healthcare business analytics

Page 12: Big Data in healthcare - Rx Case

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The right partners

IM Associates has the unique blend of expertise to help you design the right projects and create business value.

© 2016 IM Associates

Professional associations

Specialized statistician team

Why IM Associates ?

Page 13: Big Data in healthcare - Rx Case

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What can we do for you ?

© 2016 IM Associates

1.Proof of concept

2.Implementation

3.Insight generation

Sourcing

- Preselection solutions & vendors- Budget tendering

Supervision & monitoring of implementation(3rd party vendor)

Insight generation- Patient flow study

- Impact study

Proof of concept

- Solution; Value Proposition; Objective; Roll-out plan.

Tactical plan- Set-up tactical plan to make the

most of investment