Powering mhealth. IM Associates. October 2016

Transcription

1 Powering mhealth IM Associates October 2016

2 Background Many of our customers are looking to increase knowledge about the patients, the patient flow, treatment decision, Many questions are dealing with compliance and patient loyalty. These are often impactful parameters in a patient flow enabled forecast, but with an important uncertainty. Moreover, creating Value beyond the pill became a strong paradigm for our customers. Therefore, IM Associates started in 2015 the search on how to help pharma companies with these questions. Powering mhealth came up as a solution 2

3 Today, hundreds of health-related apps, devices and wearables are being used by individuals or organizations MapMyWalk ihealth Wireless Blood Pressure Monitor Health Apps Fitfy50 Glucose Meter 2.0** Medical devices Data are continuously What is the potential being value gathered for your organization? throughout these devices Calorie Counter by Fat Secret Withings Smart Body Analyzer Wearables Fitbit Charge 3 Garmin Forerunner 205 Adidas MiCoach Heart Rate Monitor

4 Mobile health data can bring added value in many areas Powering the mobile health data Getting high-value insights Scanning market potential - Extrapolate patient statistics - Support forecasts Analyzing patient dynamics - Initiation - Switches & substitution - Treatment adherence Managing studies - Monitoring disease evolution - Collect treatment data - Observational studies Engaging your customers Engaging pharmacists - Reinforce their role in treatment adherence and pharmaceutical care - Improve patient loyalty Engaging prescribers & hospitals - Create awareness through monitoring - Support patient journey - Provide statistics Engaging payers - Support health-economic files - Build up cases through observational studies Creating beyond-the-pill value for the patient Supporting management of chronic diseases - Diabetes, hypertension, cholesterol, osteoporosis, obesity, addiction Increasing treatment adherence - For poly-medicated patients - For complex treatment schedules Creating awareness & support wellness - Encourage better lifestyle - Monitor evolution 4

5 IM Associates has the unique blend of expertise to help designing the right projects and creating business value Why IM Associates in this context? The right expertise Healthcare business analytics OTC & the pharmacist s environment Specialty care & hospital environment Sociodemographic database Patient flow modelling Mobile reporting solution Geo-marketing expertise Focus on implementation 5

6 IM Associates has the unique blend of expertise to help designing the right projects and creating business value. Why IM Associates in this context? The right partners Specialized statistic team 6

7 What do we offer in this context? 1. Proof of concept 2. Implementation 3. Insight generation Proof of concept - Solution; Value Proposition; Objective; Roll-out plan. Insight generation - Patient insights studies - Impact studies Supervision & monitoring of implementation (3 rd party vendors) Sourcing - Preselection solutions & vendors - Budget tendering Tactical plan - Setup tactical plan to get the most out of your investment 7

8 Case studies

9 Case 1: Defining key-features of a pain app Diary Follow-up Predict pain 9

10 Case 1: Diary function to measure pain daily Continuous monitoring and communication with HCP Daily information about pain condition: Intensity (VAS); Location; Type of pain; Linked with other conditions: Weather; Well-being; Activity level; Sleep; 10

11 Case 1: As already existing in current apps 11 Pain Diary & Community - CatchMyPain By Sanovation AG

12 Case 1: Integrate follow-up: medication usage and physio-therapy reminders Medication usage: What is the medication scheme; Is medication well taken; Increase compliancy by using reminders; Also taken into account complex medication schemes such as patches. Physio-therapy log Log when exercises done with physiotherapist. (or agenda reminder) 12

13 Case 1: Use this data for prediction and reporting Integrate machine learning to: Predict increase of pain levels based on diary and other information (weather forecasts etc.) Prediction linked to advice towards the patient (coaching wise): Medication usage; Sleep; Try to find some rest; All data are reportable to the HCP; Possibility to generate reports for HCP. Goal: giving better insight to GP and pain specialist of real patters in pain experience, the relation with other factors, 13

14 Case 1: From a pharma perspective, this app can help in: Increasing compliance; Deliver value beyond the pill by providing automated coaching for patients and tools for better patient follow-up towards physician; The tool can be used in study setting to prove: Link compliance and patient situation; Life-style change and medication use as strong combination; Health economic value of treatment; 14

15 Case 2: Study set-up to gain insights in patient profile Start patient recruitment by GPs Patients complete survey on platform Patients complete survey on platform 1m 3m Study Patients receive log-in on research platform and hardware/apps Entered on research platform Monitor polimedication, poliindication adherence - Stop data collection 15

16 Case 2: Data collection about medication usage: Posomind Posomind: a user-friendly device to remind patients on medication intake (patients confirm intake using one button). Usage during study: Medication scheme entry by GP. Gather data on: Co-indication and medication; Adherence. Improving compliance. Data synchronization by means of a docking station at the patient s side. 16

17 Case 2: App use for additional data collection An additional wearable is being used to monitor: Lifestyle (sports sleep food logging - ) Ihealth app Will help in defining patient profiles; Ideal reward for patient. Withings 17

18 Case 2: Data integration in a research platform Interaction with mhealth application E-consent & Integration of patient e-questionnaires Possible interaction with healthcare provider 18

19 Thank you, IM Associates