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February 26.2025
2 Minutes Read

Cedars-Sinai Uses Generative AI to Extract Data on Pickleball Injuries

Cedars-Sinai uses AI for pickleball injury data, two men playing.

Transforming Injury Data with AI

Cedars-Sinai Medical Center is leveraging the power of generative AI to analyze a growing concern: pickleball injuries. With the sport booming in popularity, injuries among players have surged, rising over 200% in recent years. Many of these injuries are attributed to falls, leading to serious conditions such as bone fractures and ligament sprains, as highlighted by a recent report.

Unleashing the Power of AI for Data Extraction

By harnessing AI, particularly the capabilities of GPT-4, Cedars-Sinai has been able to extract actionable data from unstructured medical notes. Kathy Bailey, a principal data intelligence analyst with the institution, emphasized that this innovative approach allows for the identification of injuries that traditional methods often miss. Previously, extracting this data required manual input from clerks, but AI enables a faster, more efficient review, cutting down the time from weeks or months to mere hours.

Significance of Accurate Data in Healthcare

The project not only showcases the advancements in healthcare technology but also addresses a critical gap in injury data collection. Given that many injuries occur outside of structured medical codes, having AI analyze clinician notes provides a richer depth of context surrounding each incident. This is especially pertinent in pickleball, where understanding the nuances can lead to better preventative strategies and patient outcomes.

Looking Ahead: The Future of Injury Prevention

As the popularity of pickleball continues on its exponential trajectory, insights gathered from this AI project could set a precedent for future studies in other sports. The findings not only shed light on pickleball injuries but could also contribute to shaping injury prevention strategies across various activities, particularly among older adults who are increasingly participating in these recreational sports.

As we embrace these technological advancements, the partnership between healthcare and AI stands to revolutionize how injury data is collected and analyzed, ultimately improving care for patients.

Kathy Bailey will present more on this innovative approach at HIMSS25, offering insights that could change the landscape of injury data collection in sports and healthcare.

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Exploring the New Autism Data Platform: Impacts on Research and Privacy

Update Unveiling the New Autism Data PlatformThe National Institutes of Health (NIH) and the Centers for Medicare and Medicaid Services (CMS) are embarking on a groundbreaking initiative to create a "real-world data platform" focused on autism research. Announced by the U.S. Department of Health and Human Services (HHS), this collaboration aims to examine claims information, electronic medical records, and even data from consumer wearables to shed light on autism spectrum disorder (ASD).Addressing Privacy Concerns in Autism ResearchWhile the potential for advancements in our understanding of autism is significant, the announcement has raised flags regarding patient privacy and data security. Experts, including public health researchers and privacy advocates, have voiced skepticism about how personal health information will be handled. The arrangement is said to follow privacy laws, but there remain uncertainties about how patient consent will be obtained and if individually identifiable information will be disassociated from research data. Nicole Clark, CEO of the Adult and Pediatric Institute, highlighted that clarity on the use of this data is paramount.The Impact of Data on Healthcare InterventionsThis initiative comes on the heels of previous public concern over a centralized autism data registry, which HHS has since clarified it is not formulating. Nevertheless, the agency emphasizes understanding the health outcomes of specific medical interventions and the socio-economic burdens linked to autism diagnoses over time. This focuses on uncovering not just the root causes of ASD but also impacts on long-term health trends for a variety of chronic conditions.Anticipated Outcomes of the Autism Data InitiativeThe partnership's long-term goal aligns with HHS Secretary Robert F. Kennedy Jr.’s statement on ensuring transparency and accountability in research. By analyzing this collective data, the hope is to provide families with concrete answers and pave the way for enhanced healthcare responses. While the promise of a secure and thorough data platform is alluring, balancing innovation with ethical considerations remains a significant challenge as this initiative is developed.Concluding Thoughts on Data Initiatives in AutismAs we move forward with this ambitious project, stakeholders in the healthcare sector must remain vigilant about maintaining the privacy and rights of individuals involved in the research. The successful launch of this data platform could revolutionize how autism is understood and treated, but it will require ongoing scrutiny and dialogue to ensure equitable and safe usage of sensitive health information.

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