Amara Nwosu

MBCHB MRCP PhD


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Digital health priorities for palliative care research

We have deposited our paper “Technology in Palliative Care (TIP): the identification of digital priorities for palliative care research using a modified Delphi method” on the medRxiv preprint server (ahead for formal peer reviewed publication)

The aim of this study was to identify research priority areas for digital health in palliative care.

This is first study to identify digital health research priorities for palliative care and provides guidance for researchers, funders and policy makers to consider areas for future research and development. 

We identified 16 research priority areas for technology in palliative care, representing 8 themes of big data, mobile devices, telehealth, virtual reality, artificial intelligence, the smart home, biotechnology and digital legacy.  Our findings will support researchers, clinicians and policy makers to improve the evidence base in these areas, through further research and development. This work is timely and important, as global palliative care need is increasing but there is a lack of evidence of how digital health can be meaningfully used to support care needs of people with advanced illness.  Therefore, it is important that the risks of using these technologies in palliative care are properly addressed to ensure that these tools are used meaningfully, wisely and safely and do not cause unintentional harm

The pre-print is freely available from the following link. Please note, that this has not been peer reviewed so should not yet be used to guide clinical practice.

Nwosu AC, McGlinchey T, Sanders J, Stanley S, Palfrey J, Lubbers P, Chapman L, Finucane A, Mason S. Technology in Palliative Care (TIP): the identification of digital priorities for palliative care research using a modified Delphi method. Medrxiv 2021. https://doi.org/10.1101/2021.06.24.21259307

health technology design, vector illustration eps10 graphic


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Big Data and Palliative Care

 

I was delighted that our letter about Big Data and palliative medicine was published in ‘Palliative Medicine’. This was in response to an editorial by Peter Tanuesputro which described how Big Data analysis of linked data has the potential to support care by indentifying patient needs. Our letter describes five challenges which need to be considered in order to make meaningful use of Big Data analysis in palliative care.

The letter is freely available in full from the link below.

Nwosu AC, Collins B, Mason S. Big Data analysis to improve care for people living with serious illness: the potential to use new emerging technology in palliative care. Palliative Medicine 2017; doi:10.1177/0269216317726250.