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Back-UP first contact web app by Keele University

Listing Description

Result description

The face validity of the Back-UP first contact web app was tested in 176 clinicians from 13 countries across Europe. Their experiences provided wide-ranging feedback on the usability and acceptability of the web app, but with less than 10% indicating they found care plan, individualised predictions, or anonymised summary data (My Statistics) unhelpful. Apart from improving the functionality of the web app, results suggest further tailoring is needed to increase the acceptability of matched treatment options across Europe. 48 patients from 6 countries also provided feedback on the care plan produced by the web app, with 83-88% reporting this to be helpful. Based on this clinical feedback multiple recommendations were made to improve the technology.

Addressing target audiences and expressing needs

Our needs are
  • Venture Capital
  • Crowd-funding Equity
  • Other type of Investment
We specifically need / are looking for

EU medical insurance companies, clinical teams, and research funders seeking to collaborate to help clinically validate this web app and implement it into routine medical record systems.

Target audiences
  • International Organisations (ex. OECD, FAO, UN, etc.)
  • Research and Technology Organisations
  • Private Investors

R&D, Technology and Innovation aspects

Current stage description

The next step is to now embed the Back-UP technology within routine medical record systems across Europe. The technology can then be evaluated within a routine clinical situation to determine its impact on clinical decision-making and patient outcome and experiences.

Result submitted to Horizon Results Platform by UNIVERSITY OF KEELE ROYAL CHARTER

Offer Details

Specifications and Deliverables:

Value Proposition:

The Back-UP first contact web app provides clinicians with a technology (translated in over 10 EU languages) to help with the following tasks:• Risk-stratification items and individualised risk prediction visualisations within a shared decision-making summary dashboard for clinicians • A treatment selection tool of risk-matched evidence-based first contact options• A library of trusted patient self-management resources (in multiple languages)• Clinical questions to tailor the care plan content (& sharing method e.g. email) • A patient held personalised care plan containing their prediction visualisations, agreed treatment plan, self-management resources, and what to expect next• Peer-to-peer comparison tables of a clinician user’s clinical decision-making choices within an interactive “My statistics” section.

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Adress:

KEELE UNIVERSITY FINANCE DPT
KEELE
England
ST5 5BG
United Kingdom

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