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Fairview Health Services Enhances Clinical Registry Processes with Layer Health

In a dynamic shift aimed at bolstering quality and efficiency within its operations, Fairview Health Services, a prominent integrated health system in Minnesota, has engaged Layer Health—an esteemed clinical intelligence firm. This partnership is set to modernize clinical registry abstraction particularly for programs associated with stroke, oncology, and cardiology.

The need for innovative solutions in clinical registries cannot be overstated. These registries serve as critical tools for health systems to track, measure, and enhance the quality of patient care. However, the labor-intensive nature of the registry process has often been a bottleneck. Traditionally, registry abstractors have the herculean task of manually sifting through vast numbers of patient records to extract the essential clinical data required by national programs. Unfortunately, as the volume of cases surges, so too do the backlogs, making it increasingly difficult for health systems to maintain data quality, which is vital for effective quality improvement initiatives.

To address these challenges, Layer Health is introducing its innovative clinical intelligence platform at Fairview. The initiative will begin with the American Heart Association's Get With The Guidelines®–Stroke registry and will gradually expand to encompass high-demand registries such as the National Cancer Database (NCDB) and the American College of Cardiology's NCDR registries. This transition towards automation aims to significantly reduce the time and cost associated with manual chart reviews, while ensuring that registry submissions stay current amid growing case loads.

David Sontag, CEO and Co-Founder of Layer Health, remarks on this partnership, emphasizing the alignment of Fairview's approach to clinical registries with the best practices observed in innovative quality teams across the country. The platform utilizes advanced machine learning techniques to create a workflow that complements how abstractors traditionally operate. This not only saves valuable time, allowing them to focus on meaningful quality improvement projects, but it also enhances the consistency and speed of data processing.

The efficacy of Layer Health's platform is notable; it reviews comprehensive longitudinal patient records, integrating both structured and unstructured data, and provides source-linked evidence for all extracted answers. This feature facilitates a more streamlined and confident decision-making process for abstractors while maintaining clinical oversight.

By modernizing its clinical registry abstraction processes, Fairview Health stands to navigate the complexities of current healthcare demands more effectively. The anticipated outcome is an improved capacity to derive actionable insights from clinical data that ultimately contribute to enhanced patient care outcomes across its facilities. As this initiative unfolds, it reveals a significant potential to set new benchmarks for health systems nationwide in operational efficiency and clinical quality measurement.

Layer Health, founded by leaders in artificial intelligence and clinical practice from MIT, Harvard Medical School, Google, and Microsoft, has established a trusted reputation among various healthcare organizations. Its AI-driven solutions have consistently delivered substantial time savings—over 70% in some cases—with accuracy levels exceeding 98% across vital registries. This ensures that health systems can meet their demanding data collection requirements while providing the best possible patient care.

In conclusion, the collaboration between Fairview Health Services and Layer Health represents not just a technological upgrade; it is a paradigm shift towards data-driven quality improvement in healthcare. With this new phase of modernization, Fairview is poised to enhance the effectiveness of its clinical programs, ultimately translating to better health outcomes for the communities it serves.