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Using health technology assessment to set priority, inform target product profiles, and design clinical study for health innovation

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  • Wang, Yi
  • Rattanavipapong, Waranya
  • Teerawattananon, Yot

Abstract

Early health technology assessment (early HTA) is a useful tool in guiding the innovation development process in medical technology development. However, the application of early HTA is sub-optimal amongst research and development (R&D) communities due to several challenges. In this paper, we presented a case study of application of early HTA by drawing on the experience from a workshop conducted for the Singapore government's medical technology innovation agency. The framework developed can help maximise the chance of the newly developed technology being accepted and widely used. By providing step-by-step guidance, this work aims to translate early HTA into a practical tool and promote the application of early HTA amongst R&D communities.

Suggested Citation

  • Wang, Yi & Rattanavipapong, Waranya & Teerawattananon, Yot, 2021. "Using health technology assessment to set priority, inform target product profiles, and design clinical study for health innovation," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    • Handle: RePEc:eee:tefoso:v:172:y:2021:i:c:s0040162521004327
    DOI: 10.1016/j.techfore.2021.121000
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    References listed on IDEAS

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    1. Maarten J. IJzerman & Hendrik Koffijberg & Elisabeth Fenwick & Murray Krahn, 2017. "Emerging Use of Early Health Technology Assessment in Medical Product Development: A Scoping Review of the Literature," PharmacoEconomics, Springer, vol. 35(7), pages 727-740, July.
    2. Maarten Ijzerman & Lotte Steuten, 2011. "Early assessment of medical technologies to inform product development and market access," Applied Health Economics and Health Policy, Springer, vol. 9(5), pages 331-347, September.
    3. Banta, David, 2003. "The development of health technology assessment," Health Policy, Elsevier, vol. 63(2), pages 121-132, February.
    4. Elisabeth Fenwick & Steve Palmer & Karl Claxton & Mark Sculpher & Keith Abrams & Alex Sutton, 2006. "An Iterative Bayesian Approach to Health Technology Assessment: Application to a Policy of Preoperative Optimization for Patients Undergoing Major Elective Surgery," Medical Decision Making, , vol. 26(5), pages 480-496, September.
    5. Markiewicz, Katarzyna & van Til, Janine A. & Steuten, Lotte M.G. & IJzerman, Maarten J., 2016. "Commercial viability of medical devices using Headroom and return on investment calculation," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 338-346.
    6. A. E. Ades & G. Lu & K. Claxton, 2004. "Expected Value of Sample Information Calculations in Medical Decision Modeling," Medical Decision Making, , vol. 24(2), pages 207-227, March.
    7. Francesca Iandolo & Pietro Vito & Irene Fulco & Francesca Loia, 2018. "From Health Technology Assessment to Health Technology Sustainability," Sustainability, MDPI, vol. 10(12), pages 1-22, December.
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    Cited by:

    1. Olatunji A. Shobande & Lawrence Ogbeifun & Simplice A. Asongu, 2022. "Globalisation, technology and global health," Working Papers of the African Governance and Development Institute. 22/070, African Governance and Development Institute..
    2. Soltanzadeh, Javad & Sahebjamnia, Navid & Khosroshahi, Elnaz Mesma & Bouguerra, Abderaouf, 2024. "Commercializing Covid-19 diagnostic technologies: A review of challenges, success factors, and insights from the profiting from innovation framework," Technovation, Elsevier, vol. 130(C).

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