The Enlitic Opportunity
Deep learning is a great tool for interpreting all medical data. It provides physicians, nurses and other medical staff with a comprehensive diagnostic support tool.
In the past, diagnostic computer programs were written using a series of predefined assumptions about disease-specific features. A specialised program had to be written for each part of the body and a limited set of diseases could be identified. The programs often oversimplified reality, resulting in poor diagnostic performance. These programs never reached widespread clinical adoption.
In contrast, deep learning can handle a broad spectrum of diseases in the entire body, and all imaging modalities (x-rays, CT scans, etc). Deep learning contextualises the imaging data by comparing it to large datasets of past images, and by analysing ancillary clinical data, including clinical reports and laboratory studies.
As a healthcare company, we are focused on and continually refine our understanding of patient and provider needs. Our data scientists collaborate with radiologists on a daily basis to ensure that our technology enables them to provide first-rate scalable diagnoses. We also deliver support tools to help healthcare managers track and act on system-wide diagnostic performance.
We cultivate deep relationships with all healthcare stakeholders: patients, providers, pharmaceutical companies, radiology service companies, teleradiology clinics, and payers. Accordingly, we only release solutions that simultaneously improve patient outcomes, cost effectiveness, and clinical workflows.
Provide every doctor at your healthcare centre with fast, accurate reports to help them diagnose individual patients with high accuracy and personalised treatment recommendations. This is done across a broad spectrum of disease states and conditions.
Unlock actionable insights that drive strategic decision-making by analysing large, data-rich medical archives. These can span medical images, clinical notes, pathology or radiology reports, laboratory data, patient-reported outcomes and more.