HealthchainStories
OPHTALMOLOGY COLLECT: Structuring Vision Care for Better Outcomes
The need
Clinical registries and information are dispersed across multiple data sources, created by different teams using various instruments. This results in a high volume of unstructured and unstandardized data that prevents automatic extraction and complicates its use for research or evidence generation. In addition, the system lacks automated alerts for warning signs and fails to integrate active patient participation in tracking prescription adherence and treatment efficacy.
The HealthChain Support
HealthChain supported Healthcare Organisations in identifying their innovation challenges and selecting companies to address them. They worked closely as an interregional team to co-create, test, and validate a solution aligned with real clinical workflows, patient needs, and organisational constraints. The project provided financial and business support to boost the solution’s market-readiness and commercialisation.
The
Solution
Ophthalmology Collect solution leverages data collection via Patient Reported Outcomes Measures (PROMs) and Clinician-Reported Outcomes (CROs) to generate valuable insights for ophthalmology, enhance patient care, and improve clinical outcomes.
It addresses the “major challenge” of clinical information being dispersed in descriptive, unstructured language by providing an automated way to access and structure information for decision-making.
Impact
- The platform transforms fragmented and unstructured clinical data into actionable insights, facilitating better clinical decision-making.
- It improves clinical workflows by automating data collection, which reduces the administrative burden on healthcare professionals.
- The solution enables more effective monitoring of neovascularization diseases, such as Age-Related Macular Degeneration and Diabetic Retinopathy, leading to optimized patient engagement.
- Real-world application in clinical studies has demonstrated the viability and effectiveness of the solution in practical healthcare settings.
Outcomes
The solution pilot outcomes where:
- Measures the “Automated Variable Extraction Success Rate,” which tracks the proportion of predefined clinical variables successfully extracted and validated.
- Tracks the “Reduction in Manual Data Extraction Effort” by comparing clinician time spent on manual chart review against baseline manual workflows.
Sustainability
The plan involves strategically positioning the solution in new markets by participating in health congresses and pursuing public tenders for R&D funding.
Long-term financial sustainability is supported through various streams, including license fees, device sales (where applicable), and ongoing support fees.
Post-pilot strategies include continuous KPI tracking and user feedback loops to refine the system and adapt it to new clinical areas beyond ophthalmology.