Bitesize courses for all health data scientists

We are currently rolling out a suite of short and micro online courses to help health data scientists add to their skills and knowledge. The amount of content will rapidly increase in the next few weeks and months.

The courses address immediate priorities, like safe working with sensitive data, but are part of a wider programme to establish a readily-accessible, high quality national CPD programme.

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A new health data learning programme

HDR UK is working collaboratively with the NHS, industry and academic partners to create a programme that will meet the needs of health data scientists working in all settings – including industry, healthcare and academia.

The result will be an extensive catalogue of courses, events and other learning activities which are carefully curated to provide the competencies needed for many different career pathways, from discovery research through to applied clinical research. We believe this is vital so that individual scientists can progress in their own careers and to accelerate the safe, standardised and sustainable development of the entire sector.

Supporting national research priorities

Our training and education programme is being developed in a focused way that supports HDR UK’s research priorities for using data to tackle the country’s most pressing healthcare needs. These are:

  • Understanding the causes of diseases Using data from technologies that describe human diseases in detail can provide insights into biology and disease at scale.
  • Clinical trials New approaches are needed for analysing trial results. Clinical triallists also need a new system to identify the right trial participants.
  • Improving public health Better data use is vital to understanding the causes of poor health and to anticipating the effect a behaviour or intervention.
  • Better care Equipping clinicians and patients with the best possible data-based information is vital to aid health and care decisions.
  • Human phenome Researchers and clinicians need a well-curated resource where researchers and clinicians can deposit algorithms, tools, methods and training materials on human health characteristics (the phenome).
  • Applied analytics Helping the right people access the data they need, in a way that protects the data, maintains patient anonymity, and allows innovation.

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