Seamless integration with existing EHR systems
Easy adoption for healthcare providers.
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Enhanced outcomes and cost savings
Avoids treatment delays by integrating insurance eligibility and billing features.
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Continuous learning from patient cases
ML Models learn with each case, benefitting future patients.
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AI-driven clinical decision support
Supports providers in making informed decisions.
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Acute Shortage of Providers
In just 18 months in the US alone there will be a shortage of more than 2,200 oncologists. Care deserts in lower income and rural areas exacerbate this problem.
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Lack of comprehensive clinical decision support in oncology
Providers operate with varying levels of knowledge creating a >24% difference in outcomes
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Fractured care and disparate systems
Unified care in multidisciplinary meetings regarding patient cases benefit patients which can increase cancer survival up to 30%.
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