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Big Data in healthcare: Case
study
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 Associates2
An observational study based on Posomind data
(amongst others) with an active involvement of
specialists.
3
Observational study
Adherence
current
treatment
Adverse
events
Market
data
Government
Specialists Association
© 2016 IM Associates
A Posomind as data collecting and
compliance improving device
© 2016 IM Associates4
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.
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
Primary endpoints of the study
© 2016 IM Associates6
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
Our customer is committed to provide a
complete value proposition to its
stakeholders
© 2016 IM Associates7
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
IM Associates offering
Powering the mobile
health data
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
?
9
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.
10
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
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
11
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
12
Professional
associations
Specialized statistician
team
Why IM Associates ?
What can we do for you ?
© 2016 IM Associates13
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

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Big Data in healthcare - Rx Case

  • 1. Big Data in healthcare: Case study
  • 2. 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 Associates2
  • 3. An observational study based on Posomind data (amongst others) with an active involvement of specialists. 3 Observational study Adherence current treatment Adverse events Market data Government Specialists Association © 2016 IM Associates
  • 4. A Posomind as data collecting and compliance improving device © 2016 IM Associates4 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.
  • 5. 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
  • 6. Primary endpoints of the study © 2016 IM Associates6 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
  • 7. Our customer is committed to provide a complete value proposition to its stakeholders © 2016 IM Associates7 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
  • 8. IM Associates offering Powering the mobile health data
  • 9. 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 ? 9
  • 10. 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. 10 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
  • 11. 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 11
  • 12. 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 12 Professional associations Specialized statistician team Why IM Associates ?
  • 13. What can we do for you ? © 2016 IM Associates13 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