lyrical improves outcomes for patients, doctors, and providers through augmented analytics
lyrical health™ is designed for improving patient outcomes, aligning the interests of various stakeholders, and reducing healthcare costs. One of the biggest hurdles for artificial intelligence in healthcare is overcoming inertia to overhaul current processes that no longer work, and experimenting with emerging technologies to improve insights that result in more accurate diagnostics, patient data, and treatment innovation.
lyrical can thoroughly review millions of clinical documents every day, using natural language processing combined with clinical models and rules engines, in order to capture and “understand” the context and meaning implicit in medical records.
We have built a clinically intelligent NLP framework focused on clinical concepts, lexicons, and domain-specific datasets using artificial intelligence to correlate interrelated medical documentation, diagnostic and patient treatment discovery, with healthcare practitioner workflow transformation. Machine learning through lyrical health can automate diagnoses more accurately, along with related conditions and procedures, required to accurately design the care provided.
