Case Study: Empowering Perimenopause Insights through Expert Clinical Coding
Background: Understanding the Challenge
Pausetrack, an innovative company focused on supporting women through perimenopause, approached us with a unique challenge. They had amassed a substantial dataset containing patient-reported symptoms, medical histories, and treatment outcomes. However, the data lacked consistent clinical coding, making it difficult to leverage for advanced applications like Artificial Intelligence (AI), machine learning, and comprehensive research.
Pausetrack’s goal was clear:
Transform raw data into clean, clinically coded data that could be used for insights, future clinical applications, and AI-driven analysis.
Notably, Pausetrack had won funding from Innovate UK analysis for Innovation A4i. They sought our consultancy due to our expertise in clinical coding and data handling.
Our Approach: Expertise in Clinical Coding and Data Handling
We applied our specialised expertise in clinical data coding and management to help Pausetrack achieve their goals. Our process included the following key steps:
Applying Accurate Clinical Coding:
Coded the dataset according to Pausetrack’s specific coding framework to align with their existing systems.
While we used Pausetrack’s codes for this project, our team is fully equipped to work with standardised coding systems like SNOMED CT and ICD-10 for other clients.
Data Validation and Quality Assurance:
Performed rigorous validation to ensure the accuracy and completeness of the coded data.
Engaged in multiple rounds of testing to guarantee that the coded data met clinical and regulatory standards.
Outcomes and Benefits
Clean, Usable Dataset:
The dataset was transformed into a highly structured and clinically coded resource.
This clean dataset now supports AI algorithms, enabling Pausetrack to develop predictive models for symptom management and treatment efficacy.
Enhanced Research Potential:
The standardised data allows researchers to conduct robust studies, leading to better insights into perimenopause patterns and treatment outcomes.
Future-Ready Data Infrastructure:
The database was optimised for scalability, allowing seamless integration with future technologies and data sources.
Increased Efficiency and Accuracy in AI Development:
By providing clean and clinically coded data, we significantly reduced the time required to train AI models, improving their accuracy and reliability.
Client Testimonial
“Clinical coding support from this team was incredibly valuable for Pausetrack. The expertise in clinical labelling of data, coding and data handling not only helped to solve our immediate challenges but also set us up for longer-term development. We’re now able to explore advanced AI-driven insights on the data collected by our app with confidence, thanks to their expert support and advice. ”
– Claire Mann, Founder of Pausetrack
Conclusion: Unlocking the Potential of Clinical Data
At our consultancy, we specialise in bridging the gap between raw data and its clinical potential. For Pausetrack, we delivered more than just coded data; we provided a foundation for innovation, enabling them to drive meaningful progress in women’s health.
Whether you’re a healthcare startup or a seasoned medical company, we can help you transform your data into a powerful tool for clinical insights and AI development.
Contact us today to learn how we can elevate your data handling and clinical coding practices!
