PatientMetRx, an AI-powered social intelligence service from UK data tech company Talking Medicines, has launched, giving leading drug brands new insights on patient experience.
Talking Medicines developed PatientMetRx to provide a systematic way of measuring patients’ experience of taking medicines.
Powered by EVA, a proprietary AI machine developed by the company, PatientMetRx combines machine learning and natural language processing to capture the voice of the patient from millions of conversations taking place over multiple sources including social media, forums and blogs, mapped to a curated database of 130,000 regulated global medicines.
It distils what patients are saying online and what they are feeling into data insights that are fully pharma compliant.
Delivered on a digital dashboard, PatientMetRx provides a ‘Patient Confidence Score’ to benchmark each medicine, offering a systematic way of understanding trending patient confidence in their drug brands.
According to Talking Medicines, tracking Patient Confidence Scores enables pharma to accurately measure the effectiveness of marketing campaigns, reduce budgets, improve market competitiveness and deliver better health outcomes for patients.
Talking Medicines was formed in 2013 by a group of entrepreneurs with sector expertise in life sciences, marketing and data tech. Led by CEO Jo Halliday alongside co-founders Dr Elizabeth Fairley and Dr Scott Crae the company, with its HQ in Glasgow, has raised £2.5m funding to date, including a £1.1m funding deal with Tern Plc in November last year.
Halliday said: “We’re able to do something that has never been done before and make sense of the patient voice once a drug has been launched to generate pharma grade intelligence.
“By using cutting edge artificial intelligence, machine learning and natural language processing models, we’re able provide real time social intelligence in a straightforward and incredibly intuitive way.”
Subscription to PatientMtrx provides access to data on a chosen medicine brand and a competitor brand, highlighting trends within the dynamic Patient Confidence Score as well as diagnostics on what the score means.
Users can also view volume for patient voice by selected medicine, customise dates and produce PDF reports. A Pro subscription adds the ability to select up to 10 brands to view trending patient confidence over time.
