Mike Strassberg, Chief Customer Officer
Talking Medicines’ new cloud-based SaaS offering PatientMetRx combines machine learning with natural language processing to provide marketers with science-based insights into the patient experience. PatientMetRx can source unstructured signals from patients at scale from platforms ranging from social media and health networks to blogs and message boards. However, it doesn’t solely focus on health platforms. Instead, patient signals are sourced from wherever people on medicines look for help and talk about their experiences including, for example, lifestyle sites which focus on hobbies such as cruising or gardening. This data is sourced legally and ethically as signals before being de-identified.
Earlier this year, the service introduced new features enabling users to gain access to specific and accurate patient insights by medicine. For example, the Patient Opinion Map works by aggregating patient opinions on individual medicines from socially sourced posts. Opinions comprise a target (the medicine brand name) and an assessment (the adjective or word mentioned in relation to the target). For example, “Paracetamol seems to be helping pretty well so far but it’s fairly new for me” would sit within an assessment of “Helping.” Users can select an opinion group to view all patient posts that mention this adjective or word.
Meanwhile, The Patient Voice feature allows users to assess more patient classified, curated posts for selected medicines. Although these posts contain the same level of patient experience information (patient journey, switching, etc.) as the Patient Opinion Posts, the crucial difference is these posts do not contain adjectives mentioned with the medicine brand name.
Talking Medicines is now accelerating subscription rates and trials across the U.S. healthcare marketing agency sector, with several major healthcare advertising agencies signed up and using the service.