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Through the looking glass - A digital future for healthcare

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With this presentation I wanted to highlight a number of trends in the healthcare sector and some major challenges born out of the current healthcare delivery model. I’d then like to propose an alternative model in which the combination of distributed patient and diagnostic data collection, cloud technology and AI would support better healthcare tailored to the individual at lost cost to payers. I would conclude by highlighting opportunities for AI-led innovation.

Publié dans : Santé
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Through the looking glass - A digital future for healthcare

  1. 1. Copyright © 2019 Centre for Process Innovation Limited trading as CPI. All rights reserved. Through the looking glass: A digital future for healthcare Alfredo Ramos Plasencia Managing Director CPI Enterprises
  2. 2. Healthcare today
  3. 3. 3 Key healthcare market trends SOCIETAL FACTORS INNOVATIVE TECHNOLOGIES SHIFTS IN CARE AND BUSINESS MODELS
  4. 4. 4 OSD Biologics ManufactureSupply Clinical Diagnosis Diagnostics Monitoring Point of care / Pharmacy Clinical Consultation Clinical Intervention Therapy Healthcare systems today – a model
  5. 5. 5 OSD Biologics ManufactureSupply Clinical Diagnosis Diagnostics Monitoring Point of care / Pharmacy Clinical Consultation Clinical Intervention Therapy Healthcare systems today – a model
  6. 6. 6 OSD Biologics ManufactureSupply Clinical Diagnosis Diagnostics Monitoring Point of care / Pharmacy Clinical Consultation Clinical Intervention Therapy Healthcare systems today – a model
  7. 7. 7 ManufactureSupply Clinical Diagnosis Diagnostics Monitoring Point of care / Pharmacy Clinical Consultation Clinical Intervention OSD Biologics Therapy Healthcare systems today – a model
  8. 8. The future
  9. 9. 9 ManufactureSupply Clinical Diagnosis Diagnostics Monitoring Point of care / Pharmacy Clinical Consultation Clinical Intervention OSD Biologics Therapy Healthcare systems today – a model
  10. 10. 10 Healthcare systems today – a model ManufactureSupply Clinical Diagnosis Diagnostics Monitoring Point of care / Pharmacy Clinical Consultation Clinical Intervention OSD Biologics Therapy
  11. 11. 11 Healthcare systems today – a model ManufactureSupply Clinical Diagnosis Diagnostics Monitoring Point of care / Pharmacy Clinical Consultation Clinical Intervention OSD Biologics Therapy
  12. 12. 12 Healthcare systems today – a model ManufactureSupply Clinical Diagnosis Diagnostics Monitoring Point of care / Pharmacy Clinical Consultation Clinical Intervention OSD Biologics Therapy
  13. 13. 13 Healthcare systems today – a model ManufactureSupply Clinical Diagnosis Diagnostics Monitoring Point of care / Pharmacy Clinical Consultation Clinical Intervention OSD Biologics Therapy
  14. 14. 14 Healthcare systems today – a model ManufactureSupply Clinical Diagnosis Diagnostics Monitoring Point of care / Pharmacy Clinical Consultation Clinical Intervention OSD Biologics Therapy C&G Therapies
  15. 15. Some of tomorrow’s opportunities Machine-learning enables large-scale processing of individualised data Advanced manufacturing facilities supply personalised treatments just-in-time Machine-learning enables assessment of effectiveness of treatment for each patient Enhanced quality of diagnosis supporting earlier interventions & individualised treatments Enhanced quality of care through earlier, individualised interventions Pharmaceutical and MedTech companies reimbursed for positive outcomes Wearable diagnostic devices & cloud computing providing individualised medical data Patient and treatment data shared across the medicines/ medical device supply chain Ubiquitous diagnostic devices monitor patient’s response to treatment Data-driven, Personalised Therapies Smart & Connected Diagnostics Business & Reimbursement Model Innovation
  16. 16. Does it all stack up?
  17. 17. 17 Healthcare systems today – a model ManufactureSupply Clinical Diagnosis Diagnostics Monitoring Point of care / Pharmacy Clinical Consultation Clinical Intervention OSD Biologics Therapy C&G Therapies
  18. 18. 18 Smart pharmaceutical packaging: Condition Monitoring in the Supply of Medicines • Condition monitoring using multiple sensors • High volume, low cost solution using existing hardware • High “resolution” (item-level tracking)
  19. 19. 19 Smart blister packs – improving adherence Information Mediary Corp. med-IC https://informationmediary.com/med-ic// Schreiner-Medipharm / ECCT https://www.schreiner-group.com/en/press/detail/schreiner- medipharm-develops-smart-blister-pack-for-clinical- trial.html Jones Packaging Inc Presented at AIPIA Congress and Expo, Amsterdam. November 2018
  20. 20. 20 Making personalised therapies a reality… Current Art of Drug Product Manufacture Digital Predictive Design of Flexible, Agile Manufacturing from Mechanistic and Data-driven Models Digital Operation using Predictive Models and Autonomous Learning • Manufacturability • Operational efficiency • Flexibility of operations Digitally integrated pharmaceutical supply chain supporting Just- In-Time manufacture & Real-Time Release of Clinical Material Smart, demand-led commercial supply chain supporting Stratified Medicines, Regulatory and Pricing Innovation Medicines Manufacturing Innovation Centre
  21. 21. 21 Data-driven, Personalised Therapies Medicines Manufacturing Innovation Centre Just-in-Time Clinical Pharmacy
  22. 22. 22 Stranger things… Healthcare Newsfeed
  23. 23. 23 OMAR ISHRAK CEO, Medtronic VALUE-BASED HEALTHCARE” “…part of a broader shift to ADJUST PRICES based on “…[signing supply contracts] that how well the product works” 1,000 CONTRACTS” “…Medtronic has signed nearly Business & Reimbursement Innovation
  24. 24. Summary
  25. 25. 25 Summary ▪ Innovative materials, novel manufacturing of electronics and digital technologies are opening up significant opportunities to improve healthcare delivery ▪ Uncertainties in business (e.g. establishing of digital ecosystems, intermediation, new entrants) and reimbursement models, coupled with regulatory and cultural hurdles will slow adoption ▪ Collaboration across the healthcare value and supply chains with joint standards, strong cybersecurity protocols and clear data ownership models is needed to exploit the benefits these technologies are poised to deliver
  26. 26. 26 Barriers to adoption ▪ Regulatory hurdle to certify novel diagnostics & therapies ▪ Sophisticated supply chain requirements beyond current practice • Managing patient data through the supply chain • Challenging system infrastructure, process execution, quality assurance • Traceability (right product → right patient for multiple products & multiple patients) ▪ Data ownership and data sharing model, particularly regarding patient data • Who owns the data? Who decides how data is used? Who can see what in the healthcare value chain? Individual’s privacy and business competitive advantage concerns • Cybersecurity ▪ Emergence digital platforms & ecosystems (which ones will dominate?)
  27. 27. 27 Some thoughts on addressing today’s and future challenges (I) ▪ Pre-competitive collaboration through consortia built across the value chain • Definition of standards, communication protocols, programming interfaces, etc. • In the UK, the Medicines Manufacturing Innovation Centre (MMIC) will provide the environment to test manufacturing technology innovation within a GMP environment, at scale ▪ Allow exploration beyond regulatory framework, similar to other industries, to de-risk technology and business model innovation • In the financial sector, the UK’s Financial Conduct Authority (FCA) has set up a “regulatory sandbox” to allow businesses to test products and services in a controlled environment with real consumers (https://www.fca.org.uk/firms/regulatory-sandbox)
  28. 28. 28 Some thoughts on addressing today’s and future challenges (II) ▪ Solving the data ownership puzzle will require dialog and the implementation of policy instruments to regulate the space (rules of engagement) ▪ Regulated segments of the healthcare sector (pharma, medtech) need to embrace digital technology • Recruitment of new or cross-industry talent, retraining and further development are essential • Partnerships with technology companies may accelerate the process
  29. 29. Alfredo Ramos Plasencia Managing Director CPI Enterprises alfredo.ramos@uk-cpi.com

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