Trading commenced on Monday for Opyl (ASX:OPL), which uses AI-assisted technologies to allow biopharma and health organisations to collect and analyse the significant volume of clinical health data and real world data - in particular data that patients are creating on wearables, apps and social media - to better understand and improve healthcare design, development and delivery.
Opyl says the continuous flow of health data created in clinical settings and by patients in the natural course of each day is exceptionally large with the vast proportion of it underutilised by medical researchers and developers.
Michelle Gallaher, CEO of Opyl Limited, said: “At last, via social media and patient generated data, we can put the final piece of the puzzle into place and genuinely understand the real lived experience of people managing illness, injury and disorders”.
“Patient stories and information shared to social networks gives us an ability to understand what their needs are and how they are not being met, identifying gaps where new technologies can be developed, predict the spread of infectious diseases, identify shortcomings in health and wellness education, improve compliance, identify new clinical intervention opportunities and opening up a novel way for patients to participate in medical research as partners.
“Our vision is to give patients control and agency over all their health data, not just electronic health records.”
Gallaher said Opyl “recognises the value of using data to personalise and improve the health and wellness of everybody, but our ability to do so will always rest on a patient’s willingness to participate.
“Privacy by design and consent will govern everything we do as a company. We will only access publicly available information shared or consented directly by the patient or carer.”
“A clearly articulated, and purpose-aligned brand and value proposition is a very significant asset, particularly for a start-up or company pivoting into a new market.
As we have moved focus over the past six months from martech into data analytics and digital activation in healthcare, our company brand was misaligned with our purpose and our offering to the health market. It was like wearing clothes that didn’t fit, giving the wrong impression of who we are.”