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Harnessing the benefits of academic-industry collaboration

Harnessing the benefits of academic-industry collaboration. Dr Claudia Pagliari eHealth Interdisciplinary Research Group University of Edinburgh. Enterprise in Europe eHealth Mission Glasgow 25.5.10. Aims. To highlight Problems facing the translation of innovation to routine practice

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Harnessing the benefits of academic-industry collaboration

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  1. Harnessing the benefits of academic-industry collaboration Dr Claudia Pagliari eHealth Interdisciplinary Research Group University of Edinburgh Enterprise in Europe eHealth Mission Glasgow 25.5.10

  2. Aims • To highlight • Problems facing the translation of innovation to routine practice • Potential benefits of collaboration between eHealth designers & researchers e.g. for • adding to the evidence base • optimising & tailoring tools and services • supporting business case • maximising implementation • Give examples of current and recent collaborations • Discuss challenges for effective collaboration

  3. The eHealth Climate • Ambitious programmes to revolutionalise healthcare information management & communications using digital technologies • Policy drivers to empower citizens/patients to self-manage health • eHealth innovation strategic priority for Digital Economy (e.g. WHI) • Major industry players entering eHealth market + explosion of new business ventures • Promise of BIG rewards….

  4. eHealth business in the danger zone • Uncertainty over return on investment • Widespread failure to demonstrate clinical or efficiency gains or translate into routine practice [1] • Technical problems (chiefly interoperability) • Major barriers are socio-technical, • Lack of demonstrated benefit & suboptimal business case definition • Lack of persuasive evidence for long-term investment • Austerity climate [i]Kaplan B, Harris-Salamone K (2009) Health IT success and failure: recommendations from literature and an AMIA workshop. Journal of the American Medical Informatics Association March 4, 2009 as doi:10.1197/jamia.M2997

  5. Designing for & with users • Staged user engagement for • + clinical appropriateness • + interface usability • + models of impact • + understanding of contexts of use • Robust evidence of impacts needed to • persuade clinicians of value • motivate evidence-based practice/ commissioning/purchasing Academic research can maximise quality & objectivity of both

  6. Need for integrated approaches Developers, designers (Suppliers) Researchers & evaluators Individuals, organisations and communities (Users, Purchasers, Commissioners, Payers)

  7. Sequential stages in evaluation of complex healthcare interventions

  8. Working model of iterative evaluation. Qualitative & quantitative research methods, tailored to problem & stage of innovation

  9. Examples of eHealth@Edinburgh Public & community health • Telemonitoring, telehealthcare, M-health for long-term illness • Online health interventions (e.g. smoking cessation, depression) • Evaluations of large scale IM&T implementations (e.g. NHS CRS) • Patient centred healthcare (e.g. Personal health records) • Public engagement (e.g. on record linkage for research) • Evidence syntheses & HIT policy analysis (systematic reviews) • Record linkage Informatics & e-Science • Grid computing, distributed data architectures • Artificial intelligence applied to healthcare • Robotics, nanotechnologies, bionics • Medical imaging (e.g. microbubbles) Laboratory and translational sciences • Prescribing & infection information systems, point of care testing Social, political, legal and management sciences • Emerging innovations & technology policy & governance Veterinary sciences • Virtual farm Medical eLearning technologies • Virtual medical school, global learning Education • Health Informatics postgraduate programmes (MSc, PhD) … Etc….

  10. Examples of industry collaborations in eHealth • Intel (home telehealth) • Tunstall Medical (home telehealth) • IEM (telemonitoring) • Selex (telemonitoring) • Avalis (mobile telehealth) • T+ Medical (mobile telehealth) • Orange (mobile patient support) • IBM (methodology, high performance computing) • Agilent Technologies (AI for prosthetics) • Bristol Myers Squibb (medical imaging technologies) etc………

  11. What forms do these collaborations take? • Supplier sponsors academics to evaluate or co-produce their product • Academically-developed technologies inspire industry investment or collaboration • University spin-off continues academic relationship • Researchers purchase eHealth software/hardware for study purposes • Supplier provides low-cost/free technology & support for research • Full collaboration on integrated programme of development or implementation activities • Industry and academic partners working together out of academic interest or to scope ideas for innovation (e.g. DE)

  12. Benefits to industry • Access to theoretical & methodological expertise • Potential for positive independent evaluation to support the business case (academic credibility) • Cheaper than consultancy firms • Opportunity for continuing professional development of industry staff

  13. Benefits to academics • Access to new types/sources of knowledge (e.g. market surveillance) • Proximity to emerging innovations • Scale benefits of working with large organisations • Financial, technical or equipment support • Opportunity to optimise interventions prior to clinical trials • Chance to influence & study already-planned rollouts

  14. Challenges for industry partners • Risk of negative findings which do not support the business case • Problems with preventing publication of unflattering results due to ‘academic freedom’ • Negotiating new ways of working together • Non-shared language, concepts, culture, drivers • Mismatched timescales

  15. Challenges for academic partners • Exclusion of applied research in metrics of academic performance • Restricted publication due to implied vested interests or lack of distance • Vulnerability to funding cuts at short notice • Non-shared language, concepts, culture, drivers

  16. Conclusion • Appropriate collaboration between industry & academia can help to strengthen the quality, effectiveness and adoption of eHealth innovations • Critically it also provides a means to substantiate the business case on which evidence-based decisions about purchasing or commissioning will increasingly be based

  17. To discuss collaborative opportunities contact: Claudia.pagliari@ed.ac.uk Edinburgh eHealth Group

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