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// meet Dexter

Your Game Changing Partner for Real World Evidence

Real-world data (RWD) and real-world evidence (RWE) are playing an increasing role in health care decisions.

The use of devices, wearables, integrated medical records, genetic data and other technologies that gather and store huge amounts of health-related data is growing exponentially. If accessed and analysed effectively, this data can enable us to carry out comparisons, studies, trials and developments better, faster and more accurately than ever before.

Data Extractor for Epidemiological Research is a game changing software platform to help you design and conduct your routine epidemiology and pharmaco-epidemiology. It utilises Electronic Health Record (EHR) data in real-time, extracts analysable data-sets and produces results based on your study design in minutes. Dexter was created with an aim to expedite epidemiological research. Since it’s introduction in mid-2016, Dexter has worked as a ‘one-stop-shop’ for clinicians and researchers who are interested in working with EHR.

// The Dexter Engine

What Dexter Delivers

Dexter is the result of pioneering research that is transforming the use of Real World Data and Real World Evidence for Healthcare Providers, Pharmaceuticals and Academia.

We want our customers to be able to use real-world data to resolve gaps in knowledge, drive forward access to innovations for patients, use real-world data to reduce uncertainties and improve guidance.

What are RWD?

RWD can come from a number of sources, for example: • Electronic health records (EHRs) • Claims and billing activities • Product and disease registries • Genetic data • Patient-generated data including in home-use settings • Data gathered from other sources that can inform on health status, such as mobile devices.

What is RWE?

Real-world evidence is the clinical evidence regarding the usage and potential benefits or risks of a medical product derived from analysis of RWD. RWE can be generated by different study designs or analyses, including but not limited to, randomized trials, including large simple trials, pragmatic trials, and observational studies (prospective and/or retrospective).

// who are we

Our Leadership Team

Our team come from academic, healthcare and commercial backgrounds.

Dan Somers


Krishna Gokhale


Prof Krish Nirantharakumar

Chief Science Advisor

Dr Joht Singh Chandan

Business Development & Customer Success