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Health IT, systems and process innovations
Original article
Designing the landscape for technological development in neonatal neurocritical care
  1. Colin Hamilton1,
  2. Robert Phaal2,
  3. Mita Brahmbhatt3,
  4. Peter Jarritt3,
  5. Topun Austin4
  1. 1 Physiotherapy Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
  2. 2 Institute for Manufacturing, Cambridge University, Cambridge, Cambridgeshire, UK
  3. 3 NIHR Brain Injury Healthcare Technology Co-operative, Cambridge University, Cambridge, UK
  4. 4 Cambridge University Hospitals NHS Foundation Trust and Honorary, University College London, Cambridge, Cambridgeshire, UK
  1. Correspondence to Colin Hamilton, Department of Physiotherapy, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK; colin.hamilton{at}addenbrookes.nhs.uk

Abstract

Objectives To identify current ‘gaps’ in clinical practice or therapeutic knowledge of the care of neonatal neurointensive care patients and to determine the impact healthcare technologies can have on improving outcomes.

Design The Cambridge Institute for Manufacturing’s (IfM) roadmapping methodology.

Setting Cambridge, UK.

Participants 16 delegates were selected through professional networks. They provided coverage of academia and clinical skills, as well as expertise in neonatology, engineering and technology development.

Main outcome measures A ‘strategic landscape’ has been developed with ‘landmarks’ identified as ‘trends or drivers’, ‘patient pathway experience and unmet needs’ and ‘enabling project or resources’. Priorities were voted on by delegates.

Results 26 strategic ‘landmarks’ were identified, and of these 8 were considered ‘trends or drivers’, 8 ‘patient pathway experience and unmet needs’ and 10 as ‘enabling project or resources’. Of these, five priorities for the future of neonatal neurocritical care were identified by a voting process: real-time video monitoring for parents; individualised management of preterm infants in neonatal neurocritical care based on real-time multimodal monitoring; continuous electroencephalogram monitoring for early seizure diagnosis; neuroprotection: understanding basic mechanisms; and sleep measurement.

Conclusions Through the use of the IfM methodology, a list of priorities has been developed for future work into improving the experience and possible outcomes of newborn infants with brain injuries and their families. While not an exhaustive list, it provides the beginning for a national conversation on the topic.

  • intensive care
  • diagnostics
  • inventions

https://doi.org/10.1136/bmjinnov-2018-000288

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    Footnotes

    • Contributors CH is the corresponding author and guarantor of this work. CH completed the first and all subsequent drafts of the article. PJ and RP provided methodological expertise as well as in running the landscaping exercises. RP also contributed heavily to the Methodology section. MB organised the exercises and supported the final write-up. TA edited and contributed to all drafts, as well as setting the scope and running the landscaping exercise.

    • Funding This project was supported by the NIHR Brain Injury Healthcare Technology Co-operative as part of its portfolio of work. While this project was supported by the NIHR Brain Injury Healthcare Technology Co-operative, all authors had access to all information and had complete autonomy in the analysis and publication of this paper.

    • Competing interests None declared.

    • Patient consent Not required.

    • Provenance and peer review Not commissioned; externally peer reviewed.

    • Data sharing statement Full data set and technical appendix available from the corresponding author at colin.hamilton@addenbrookes.nhs.uk. Participants gave informed consent for data sharing.