Posts by

Ross Hutcheson

Why text mining in social could be a game changer for personalised medicine

From tracking flu outbreaks to monitoring drug side effects, researchers are increasingly turning to social media as a potent information source. Mining and analysing data from social networks even has the potential to uncover knowledge about drug usage, its effects, and the characteristics of users.

The improvement of tools to access information about diseases and treatments as well as the development of social media, is leading to more informed patients that want to be involved in their care. With an increasing number of patients with chronic conditions sharing health information online, social media sites present an opportunity to harness medical information that could be used to advance personalised medicine. Given the vast amount of information on these sites, machine learning and AI has been deployed as a strategy to bring value to this otherwise vast and unstructured data.

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Big Data for Pharma

Big data in healthcare is a term used to describe massive volumes of information created by the adoption of digital technologies that collect patients' records and help in managing hospital performance, otherwise too large and complex for traditional technologies.

Despite the slow uptake, big data is changing healthcare as we know it. Compared to industries such as the retail and banking sector, the healthcare industry has been slow to take advantage of all of these data points have to offer. A possible reason for this slow uptake could be the preference amongst physicians to use their professional judgement to treat conditions as opposed to other forms of intelligence. We are however seeing escalating costs to healthcare and big data’s ability to improve quality and increase value is evident. The healthcare sector is starting to adopt the untapped potential in big data making it an exciting time for innovation and transformational change.

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Personalised Data for Personalised Medicine

Personalised medicine is about getting patients on the right medicine, at the right time on the right dose. Many factors play into achieving this, none more so than patient involvement in their treatment plan – sharing their opinions and feelings at different stages of their journey. Capturing these feelings can be used to improve treatment in several ways.

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