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Digital Health Business Models for Pharma, Medtech and Insurance.

Planning

  • Ideation
  • Business model evaluation
  • Reimbursement forecast
  • Prototype concept

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Functionality development and registration

  • Software development
  • Medical class product registration
  • Quality management

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Reimbursement

  • Medical impact calculation
  • Economic impact calculation
  • Payor identification and negotiation

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Digital Health Trial

  • Trial design concept
  • Patient identification
  • Trial conduction
  • Real world evidence generation

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Scaling

  • Pricing strategy and market access
  • International payor negotiation
  • Global medical network activation

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  • Ideation
  • Business model evaluation
  • Reimbursement forecast
  • Prototype concept

Read more 

  • Software development
  • Medical class product registration
  • Quality management

Read more 

  • Medical impact calculation
  • Economic impact calculation
  • Payor identification and negotiation

Read more

  • Trial design concept
  • Patient identification
  • Trial conduction
  • Real world evidence generation

Read more 

  • Pricing strategy and market access
  • International payor negotiation
  • Global medical network activation

Read more 

Our Cases

Planning

Initial status and goal 
  • Leading Medtech device company with the goal to establish a Digital Health functionality to support orthopaedic patients both inside and outside of medical facilities (remote care). No experience in Digital Health, but a strategic goal to support product sales through Digital Health. 
Technology used for project support
  • Syte process support platform (guided through the optimal indications and product positioning for maximised impact of the market access)
  • Syte analytical engine (integrated data from scientific publications, internal data and data from first tests inside medical institutions)
Result 
  • Remote care functionality definition for optimal aftercare support (selection of optimal orthopaedic indications for reimbursement planning)
  • Definition of the medical and economic impact model and the according pricing scheme for the Digital Health service 
  • Product and Digital Health service sales growth concept
Project steps 
  • Definition of a draft on the Digital Health infrastructure of the “intelligent” orthopaedic digital health product service for major payors (public and private insurers) 
  • Stakeholder interviews (payers and potential healthcare providers) about the Digital Health service covering general feedback and perceived added value of the digital solution
  • Framework for calculation of the medical and economic impact of the Digital Health services (e.g. impact on quality of treatment, quality of life, time and cost savings in various levels, real procedure costs before and after, etc.) 
  • Challenging this medical and economic impact framework regarding expected process and organisational changes with data from a medical partner institution 
  • Definition of the expected medical and economic impact model based on the aggregated data as the hypothesis for reimbursement negotiations with key stakeholders (e.g. health insurers)

Planning, reimbursement, digital trial

Initial status and goal 
  • Leading hearing implant device company intends to establish Digital Health functionalities to support lifelong aftercare. Only limited experience in Digital Health, but large internal IT-team.
Technology used for project support
  • Syte process support platform (guided through the product development process)
  • Syte analytical engine (integrated data from scientific publications, internal data and data from first tests)
Result 
  • Remote check functionality for optimal aftercare support 
  • Proof of medical and economic benefit
  • New revenue stream through reimbursement 
  • Increased competitiveness of core product
Project steps 
  • Economic impact calculation 
  • Reimbursement forecast based on impact calculation and payor discussion 
  • Support of software development based on clinical process analysis and continuous medical user involvement
  • Digital trial to prove feasibility and impact
  • Payor contracting for reimbursement 

Scaling

Initial status and goal 
  • A pharmaceutical multinational targets increased usage of an expensive antiarrythmic drug. As the prescription is very challenging for physicians (medical and economic barriers), a decision support tool application for medical professionals seemed to be helpful.
Technology used for project support
  • Syte analytical engine (integrated data from scientific publications, internal data and data from first tests)
Result
  • Decision support tool for prescription of an expensive medication 
  • Basis for cutting edge publications about drug and technology interaction
  • Increased revenue of remedy as core product
Project steps
  • Subgroup analysis with largest medical benefit. The analysis is based on publications and internal databases of leading university hospitals
  • Economic forecast of cost savings based on medical subgroup analysis 
  • Concept for a patient selection algorithm that identifies those patients with the largest medical and economic impact
  • Software development and medical product class registration
  • Retrograde validation and optimisation of this algorithm on an internal hospital database 
  • Implementation of the decision support tool within the respective medical departments

Global Scaling

Initial status and goal 
  • One of the largest generic pharmaceutical firms with a specific product and digital service for Asthma/COPD patients and the goal to achieve global market access and reimbursement for the pharmaceutical product and digital health component
Technology used for project support
  • Syte process support platform (guided through the market access process within different countries) 
  • Syte analytical engine (integrated data from scientific publications, internal data, patient selection for first tests, outcome evidence collection) 
Result 
  • Country specific road to market / pathway to launch the pharmaceutical product and digital service with according reimbursement 
  • Country specific medical and economic benefit calculations and performance assessment frameworks
  • Reimbursement pricing including the core pharmaceutical product and digital health service inside and outside the European Union 
Project steps 
  • Selection of optimal launch markets based on Syte databases (market data, e.g., population size, per capita spending, Digital Health readiness, payor goals, government strategies, unmet needs (e.g. lack of physician or nursing resources), further windows of opportunities)
  • Definition of main stakeholders to be approached (regional    governmental institutions, payors, healthcare providers) for first roll out
  • Data generation plan to further strengthen the negotiation basis for payor discussions
  • Tailoring of a medical and economic impact model to the country specific framework conditions and according to the feedback of payors
  • Development of country specific economic performance assessments to implement reimbursement 

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