Teaching AI to interpret emotions for better patient care

Datatera AB enhances patient-doctor communication for a higher quality care experience. FAIR supported the company in testing functionalities of using AI to generate precise sentiment analysis.

 

Ella Niemi, 13.2.2025

Artificial intelligence is a promising tool for quicker and cost-efficient communication with customers in many different fields, but oftentimes it’s way of communicating doesn’t meet one’s emotional needs. This is even more prominent when discussing personal themes like health issues.

Datatera AB, a company dedicated to leveraging AI for enhancing patient care, encountered challenges in accurately analysing and interpreting the emotional aspects of patient communications. They needed to ensure that their AI solution could effectively process nuanced emotional data from patient messages, providing healthcare professionals with reliable insights that could inform patient interactions and care decisions – so they sought our expertise.

“I believe the AI advancement the FAIR team has provided in our solution helps us effectively articulate our product’s value, enabling doctors to understand patients’ needs better and provide greater comfort during care visits. I strongly recommend your services to other companies,” states Tugce Ozdeger, Founder & CEO of Datatera.

FAIR’s individually tailored approach

At FAIR, we always approach the challenges of our customers with an individually tailored approach. To address Datatera’s needs, we developed a proof of concept (POC). The solution analyses patient messages to identify sentiment, emotions, and healthcare-related entities. Using these insights, the system generates supportive messages tailored to the identified emotional state and patient needs. The solution is designed to be easily extensible, allowing for future enhancements. The AI-powered solution has the potential to significantly enhance the way healthcare professionals interact with patients.

This case demonstrates how we actively support companies in validating their AI ideas by developing tailored proof-of-concept solutions in a risk-free environment. For Datatera, we collaborated to create a working POC that addressed their specific challenges and showcased the potential of their concept. This approach allows companies to see their ideas come to life, test feasibility, and gain valuable insights, all without the risks typically associated with early-stage innovation. It’s a practical and impactful way to help businesses advance on their AI journey with confidence,” tells Gintare “Gigi” Saali, GenAI POC Service Manager at FAIR.

This innovation promotes more empathetic and patient-centric care, potentially leading to better patient satisfaction and outcomes as well as improved healthcare quality. As the solution evolves, it could become a critical tool in the broader digital transformation of the healthcare sector. 

Ready to revolutionize your business with cutting-edge digital and AI solutions as well? Join us now and take the first step towards innovation!

 

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