HolistiHealth aggregates data from various sources, including genomic data, lifestyle apps, electronic health records (EHRs), and wearable devices into a single platform using advanced APIs and standard interoperability protocols like FHIR.

It employs machine learning algorithms to analyze the integrated data, offering healthcare providers predictive analytics and personalized recommendations for improving patient longevity.

The platform presents these insights through an intuitive dashboard that allows providers to track progress and adjust treatment plans in real time.

HolistiHealth transforms fragmented healthcare data into a cohesive, actionable system, enhancing proactive patient care and treatment personalization, which can lead to improved longevity outcomes.

Its unique ability to merge diverse datasets in real-time sets it apart from existing siloed and inefficient solutions, offering a comprehensive view that empowers healthcare providers to make informed decisions.

The technical feasibility relies on the integration of existing data interoperability standards and experienced software development teams familiar with healthcare protocols.

Cost barriers revolve around securing partnerships with existing EHR providers and obtaining compliance with healthcare data regulations like HIPAA.

The competitive landscape is gradually evolving, but HolistiHealth offers an advantage with its robust integration and predictive capabilities.