Jaquie Finn, Cambridge Consultants - Qepler Summits And Conferences

Jaquie Finn

Head of Digital Health
Cambridge Consultants
Cambridge, United Kingdom
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Jaquie is Head of Digital Health at Cambridge Consultants and leads the initiative to provide strategic guidance and technical solutions for clients transitioning their business model to include a digital element. These digital elements include device connectivity, AI, security, launch strategies, behavioural science and digital service design.

Jaquie has previously worked on the design and launch of a compliance & work management IoT service that is in commercial use.

Jaquie has a BSc in Applied Biology, 10 years’ experience in Molecular Biology and 15 years’ experience of Product Management and Marketing for software, hardware and digital services in medical and life science industries that include immunology, ophthalmology, neuroscience and bioinformatics.

Jaquie has also worked in telecommunications, food hygiene and intelligence.

Jaquie is a member of the Chartered Institute of Marketing (CIM).

Related Sessions:

Pharmaceutical R&D
Informatics Summit 2019

Improving R&D process with computational transformation: AI & ML, Advanced Data Sciences & New Methods.
  • 09 Apr 2019
  • Berlin, DE
  • Pharma
Day 2: Wednesday, 10 April 2019
BLOCK: ARTIFICIAL INTELLIGENCE & MACHINE LEARNING.
CASE STUDY: Building the digital ecosystem for tomorrow’s clinical trials.

Cambridge Consultants, in consultation with clinical psychiatrists and neuroscientists have designed a platform that is AI-driven, multimodal and measures and monitors biometric, behavioural and contextual data as unobtrusively as possible.

The exemplar we chose when designing the ecosystem is monitoring people’s stress levels during clinical trials which is important because stress affects trial outcomes and must be taken into consideration….and with the rising costs of CTs coupled to the commercial risk of failure, it is vital we harness mobile human data to inform better trial design, better understand outcomes and maximise the likelihood of clinical success.

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