The Patient Opinion Map™
What is the Patient Opinion Map™?
Talking Medicines has launched a new feature on the AI driven PatientMetRx® platform called the Patient Opinion Map™, it provides subscribers with fast, accurate and actionable insights about a patient’s experience with a branded medicine. These insights are aimed at giving advertising agencies a competitive edge when it comes to audience insights for winning and retaining pharma clients.
The Patient Opinion Map™ works by aggregating patient opinions on individual medicine brands from socially sourced posts. These opinions are displayed within the dashboard in the form of a ‘node’ (network/data cluster) diagram that can be filtered by sentiment (positive or negative).
What is an Opinion?
Opinions comprise a target (a 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”. Here the assessment would be “Helping” and the target “Paracetamol”.
The Opinion Map node diagram displays the number of times this assessment appears within a given time period. The number of opinions displayed depend on numerous factors including environmental influence, persona, regulatory status, therapy area, type of medicines and seasonal fluctuations.
Users can select an assessment (adjective) group within the screen to view the sentences and posts that mention these opinions.
What do Opinions look like?
Examples of Patient Opinions include:
POSITIVE:
“Hi – I’ve used Paracetamol* for a few years now and it has worked well* for controlling my pain with no side effects.”
NEGATIVE:
“The Paracetamol did not work after 4 months so my rheumatologist added codeine which again worked almost immediately for a bit but pain increasing again.”
“I’m not super confident that the Paracetamol is going to work.”
*Where Target = Bold and Assessment = Italic
How are Opinions Generated?
The opinions are generated by using several innovative Natural Language Processing (NLP) and Machine Learning (ML) technologies working within the PatientMetRx® platform – aspect-based sentiment analysis and our proprietary patient voice classifier. By using these technologies in unison, Talking Medicines ensures that the Patient Opinion Map™ feature contains high quality patient accounts with precision. This means no Health Care Professional or third-party statements will dilute these insights, allowing users to access the desired patient voice in a fast and accurate way.
What is the benefit of using the Patient Opinion Map™?
Talking Medicines understand that our advertising agency clients must read and manually extract useful patient insights which is extremely time-consuming and costly. The Patient Opinion Map™ feature gives PatientMetRx® subscribers a fast and accurate way of discovering in-depth and relevant insights about a patient’s medicine experience by grouping insights by assessment (adjective) and allowing users to filter insight by sentiment (positive/negative). This drives efficiency of time and money to find crucial creative nuggets for those all-important campaigns.
What is next for PatientMetRx®?
Soon, PatientMetRx® will launch a new feature which will expand on the functionality of the Patient Opinion Map™ – allowing users to view posts in a new and exciting way.
But this is just the beginning… As a product led company Talking Medicines will learn from our customers and understand how they use this data from the get-go. By doing so, we will innovate our AI/ML technologies to optimise our customers work going forward. So, what are you waiting for? Get on board and benefit from the first and only truly Patient Centric real world Insight tool the ad agency world has ever seen!
Written by Roma English Owen, Talking Medicines Data Analyst.
About PatientMetRx®
PatientMetRx® is an AI accelerated machine learning platform that has turned the liberation of patient sentiment on its head through data science to create a single source of truth about feelings, attitudes, and behaviors. People describe their healthcare experiences through stories on social media, interviews, and research. PatientMetRx® uses advanced data science and technology including its own specialized LLM’s (Drug-GPT™) to structure signals at scale to make the complex simple. Tracking actionable insights and mapping across the patient journey comparing HCP and Patient Voices. Keep your finger on the pulse by putting the Patient Voice at the center of strategies. If you’re wanting to stay ahead of the curve in this rapidly changing industry then try it out today.
