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In 2012, the Human Genomics Strategy Group had already highlighted the need to develop a workforce skilled in genomics in the NHS, the changing R&D models in the domain and the establishment of bioinformatics hubs across the UK. Later this week, at the NHS England board, Tim Kelsey and Sir Bruce Keogh will present a paper on “Genomics: NHS Preparedness for Delivery of the 100,000 Genome Project”. This sets out a couple of key demands on the NHS – the establishment of “NHS Genomic Medicine Centres” and assessments of the availability of data from the NHS into the Genomics England programme. Genomics England’s desired outcomes include a genomics service ready for adoption by the NHS, delivered through making whole genome sequencing ‘faster, reliable, low cost with useful results’.
Our work for Genomics England prioritises integration with the clinic. When we looked at the challenges and unmet needs in the area, it was clear that reaching the clinician desktop was key. The other challenges are related – how to facilitate the delivery of clinically relevant annotation pipelines (“industrialisation”) and how to make sure that the evidence base for annotation is reliable.
Offering a genomic medicine service in the NHS will have to take into account both the clinical and organisational features of the UK health environment. One difference with other models may be in the diversity and depth of annotation sought. Genomics England has developed the “Genomics England Clinical Interpretation Partnership” (GECIP) to add value to funding initiatives in the area and offer ways for the NHS community to engage with the broader initiative.
Annotation services take the output of DNA sequencing and extract the relevant data points for understanding a person’s health. Biological and medical know-how are applied to maximise the utility of that information. Ultimately, this information is prioritised to deliver something clinically relevant, or stored in a database for ongoing research. Our view at Aridhia is that there is enormous potential to be clinically led, given the variety of diseases and conditions that require specialist interpretation or algorithms. We don’t believe one size fits all in clinical informatics, especially when it comes to integrating with operational electronic medical records and clinician desktops, but we will provide patterns and accelerators for reaching the end user.
There is an increasing amount of clinical data available in digital form, but the state of the art is that datasets are not standardised, and often not available in standard APIs. For the industrialisation agenda, that increases the cost and the time to deployment. We welcome the inclusion of a “Data Maturity Assessment” in the NHS deliverables, with an accompanying IT investment to deliver the best data possible to the Genomics England programme. The outcomes depend on understanding clinical and genomic data, how they fit together, and how to set up the information governance for such data flows.
We are developing a platform that will make it easier for start ups, research groups and clinical consortia to develop their own annotation services, validate them at scale with Genomics England or Stratified Medicine Scotland. This platform builds on the computing services that underpin our AnalytiXagility service. For those wanting to take an annotation service ‘to market’ we will offer a process for qualifying and improving the implementation, through better programming resources (APIs) to genomic and clinical, world class content and the ability to optimise for different computing and storage strategies. At the same time, we are building on our experience of developing clinical applications for the NHS to offer building blocks for offering annotation to the ‘last mile’, whether that’s to a specialist clinician desktop, a clinical genetics lab or ultimately patients and their families. As a development partner, we’d expect to help innovators to deliver validated products in an increasingly regulated environment.
Aligned with the NHS deliverable to be operationally prepared for routine whole genome sequencing, we are interviewing practitioners in the field, to capture what the level of knowledge is, where expectations lie, and how to measure ‘good’ in annotation services. This information will be crucial to establishing how the NHS will integrate the emerging genomic services into existing structures such as clinical laboratories, the UK genetic testing network, education and genetic counselling services. By building these quality measures directly into our industrialisation process, we expect to narrow the gap between genomic and medicine.
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July 1, 2014
One of Aridhia’s first employees, Rodrigo joined the company in 2008. He is an R&D software engineer with a mathematical background and expertise in developing analytical and data management applications in healthcare, life science and knowledge management start-ups.
Rodrigo has been instrumental in Aridhia’s innovation, leading the development of the Aridhia Digital Research Environment (DRE), and fostering new approaches to research data management and analysis.
Today he is responsible for driving the product strategy for the DRE and leads on Aridhia’s approach to precision medicine and the application of machine learning in the clinic.