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  • Presentation

DataDerm: The First Decade & Goals for the Next

Description

Marta Van Beek begins by introducing the purpose of the DataDerm session, highlighting the significance of the dermatology registry over the past decade. DataDerm was established to address the need for quality reporting in dermatology, especially in a landscape where dermatological conditions were often viewed as cosmetic. Launched in 2016, it has amassed a significant database, capturing over 58 million patient visits and 14 million unique patients across more than 1,600 practices. The registry's approach involves automatic data extraction from Electronic Health Records (EHRs) to alleviate the burden of manual data entry, which was a concern among busy dermatologists. The presentation outlines the evolution of DataDerm, including collaborations with data intermediaries like OM1 to enhance data accessibility and quality. As it stands, the registry not only reports quality measures but also provides insights into patient demographics and treatment outcomes, paving the way for improved care and a better understanding of rare dermatological diseases. Looking towards the future, DataDerm aims to integrate augmented intelligence and machine learning, ensuring that clinicians maintain interpretative guidance in utilizing these advanced technological developments. Van Beek emphasizes the registry's role as a valuable resource for dermatologists, encouraging participation and engagement as it embarks on its next phase with a new partnership with PA Consulting.

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Conclusions

  • DataDerm has successfully established the largest dermatologic clinical data registry in the world, with over 58 million patient visits and 14 million unique patients.
  • The registry serves as a crucial tool for dermatologists to report quality measures and improve patient care.
  • Real-world data from DataDerm shows improvements in quality measures as clinicians access their data over time.
  • The collaboration with OM1 allows for advanced analytics, including natural language processing of clinical notes to extract valuable patient information.
  • DataDerm is transitioning to a more nimble platform with enhanced capabilities and custom dashboards for better user access.
  • Insights from the data reveal significant co-morbidities in dermatological patients, enhancing understanding of their treatment needs.
  • The ongoing use of augmented intelligence will support further exploration of treatment outcomes and patient journeys, ensuring better-targeted therapies.