Staff Profile

I am a Research Associate at the NIHR Innovation Observatory where I am involved in the delivery of horizon scanning and evidence synthesis projects. I have produced reports, briefings and dashboards for a variety of national stakeholders including NICE, DHSC, and NHS England to identify innovative medical technologies and areas of unmet need. I also conduct clinical effectiveness reviews of new technologies for the production of Technology Assessment Reviews (TARs) for NIHR to support the NICE technology appraisal process.

Prior to returning to the Innovation Observatory in 2024, I worked as a researcher at a health economics consultancy where I undertook systematic reviews to support clients undertaking the Marketing Authorisation process for their medical technologies. I have a particular research interest in the application of artificial intelligence (AI) tools to enable more efficient and automated evidence synthesis methods.

About the NIHR Innovation Observatory

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The NIHR Innovation Observatory is a world leading health and care innovation scanning centre providing data-driven insights to foster innovation and equitable access to high quality care. We aim to transform health systems and improve population health by providing advanced data-driven insights that foster innovation and equitable access to high quality care. At the core of our work is the development of data-driven methods to identify, capture and synthesise intelligence on new health innovations. We develop and share cutting edge methods in horizon scanning, building capacity in the systems across the public, voluntary and industry sectors.

We deliver essential intelligence and insights about medicines and MedTech innovation to the National Institute of Health and Care Excellence (NICE), NHS England, the Medicines and Healthcare Products Regulatory Agency (MHRA), the NIHR, the UK Health Security Agency, the Department for Health and Social Care and industry - allowing these organisations to prepare for policies, regulation and frontline delivery for new, emerging and disruptive technologies.

• Articles

  • Spiers G, Tan MMC, Astbury JL, Hall A, Ahmed N, Lanyi K, Williams O, Beyer F, Craig D, Hanratty B. What works to support carers of older people and older carers? an international evidence map of interventions and outcomes. BMC Geriatrics 2024, 24(1), 301.
  • Thornton C, Lanyi K, Wilkins G, Potter R, Hunter E, Kolehmainen N, Pearson F. Scoping the Priorities and Concerns of Parents: An Infodemiology Study of Posts on Mumsnet and Reddit. Journal of Medical Internet Research 2023, 25, e47849.
  • Khan SK, Gonzalez-Moral SG, Lanyi K, Ogunbayo D, Craig D. Closing the loop between horizon scanning and health technology assessment - An overview of topics submitted for appraisal in England. International Journal of Technology Assessment in Health Care 2023, 39(1), e64.
  • Wilkins GC, Lanyi K, Inskip A, Ogunbayo OJ, Brhlikova P, Craig D. A pipeline analysis of advanced therapy medicinal products. Drug Discovery Today 2023, 28(5), 103549.
  • Marshall C, Lanyi K, Green R, Wilkins GC, Pearson F, Craig D. Using natural language processing to explore mental health insights from UK tweets during the COVID-19 pandemic: infodemiology study. JMIR Infodemiology 2022, 2(1), e32449.
  • Lanyi K, Green R, Craig D, Marshall C. COVID-19 Vaccine Hesitancy: Analysing Twitter to Identify Barriers to Vaccination in a Low Uptake Region of the UK. Frontiers in Digital Health 2022, 3, 804855.
  • Marshall C, Lanyi K, Green R, Wilkins GC, Pandey S, Craig D. Using Twitter to track public opinion in the UK about mental health during the COVID-19 pandemic. Behavioural Science and Public Health Network 2021, 4(2), 4-14.

• Conference Proceedings (inc. Abstracts)

  • Gonzalez Moral SG, Khan SK, Lanyi K, Ogunbayo D, Craig D. OP56 A Life Cycle Approach To Horizon Scanning Outputs - From Signals To Guidelines. In: HTAi 2022 Conference. 2022, Utrecht, Netherlands: Cambridge University Press.
  • Lanyi K, Green R, Marshall C. Tracking Global Views on COVID-19 Vaccines: A Case Study Deploying Machine Learning to Analyse Public Insights from Twitter Data. In: HTAi 2021. 2021, Online: Health Technology Assessment international (HTAi).

• Report

  • Oparah CI, Eastaugh C, Lanyi K, Hussain A, Woltmann J, Pearson F, Still M, Brush E, Kolehmainen N. Interim Horizon Scanning Report: Identification of Paediatric Neurological Trauma Technologies. Newcastle upon Tyne: NIHR Innovation Observatory, 2023.