eHealth Innovations Priority Setting Workshop Summary Report - Long Descriptions

Figure 1

The technological complexity of e-mental health increases in line with the psychological complexity. Less complex situations can include technologies such as knowledge brokerage, knowledge exchange, chat and online assessment. As the psychological complexity increases, online consultations and self-assessments are appropriate. Online interventions and game-like (virtual reality) platforms are recommended at the higher levels of psychological and technological complexity.

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Figure 2

The graphic demonstrates the relationship between rural and urban communities, quality and efficiency of care and access to services. The initial impacts of eHealth solutions primiarly target rural communities as it reduces travel, impacts access to care and maldistributed care and provides urgent access to services otherwise unavailable. In a broader context, eHealth impacts serve rural and urban communities as it increases efficiency of providers through e-consultation, enables chronic disease self-management and enables new models of care.

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Figure 3

Screen shot of the New England Journal of Medicine and the "Health Map" program depicting suspected cases of Influenza A (H1N1).

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Figure 4

Screen shot of streetRx, displaying a map of the United States and the costs of a particular treatment across the country.

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Figure 5

The iDash model depicts three interaction scenarios were:

  1. A user downloads the iDash data
  2. A user computes with iDash hosted data in an iDash environment
  3. A user performs iDash computation in his/her own environment

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Figure 6

Unique innovation research team model includes:

  • Industry: Digital/HIT biopharma, medical devices, finance
  • Policy Makers: All levels of government, regional bodies
  • Academic Research Team: Medicine, health sciences, engineering, business, computer science
  • Health System: Public health, primary care, acute care, community care, allied health, patients/carers/advocacy groups

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Figure 7

Build the evidence for innovation adoption.

Proof of concept: Research Innovation

  • New technology
  • New therapies

Proof of relevance: Clinical Innovation

  • Patient care implementation
  • Clinical adoption
  • Integration into service delivery

Proof of value and reimbursement: Innovation Adoption across health systems

  • IT decision support
  • Service delivery model redesign
  • Performance metrics support adoption
  • Financial model for reimbursement
  • Leadership to drive innovation
  • Clinical guidelines integration
  • Consumer uptake

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