Improve clinical diagnosis and reduce cost of care delivery with Computer Vision and NLP.
Computer vision and AI help to simplify and streamline the clinical diagnosis, delivery, back office management. Using Predera's image recognition, reduce the time and cost for assessing and underwriting claims. Ultimately improving the collaboration between agents and customers for a better customer experience.
Our Computational Phenotyping identifies patient from variety of data sources like EHR, clinical data, lab results etc., apply NLP, process medical data using Spark & Apache Nifi and stores in secure File Storage.request demo
Our algorithm not only provides highly accurate predictive risk scores for various disease conditions but also highlights leading factors for such diagnosis.
We continuously improve our model with different scorings like SAPS II "Simplified Acute Physiology Score" and LACE scoring for readmission rate. Our Human-in-loop ability in ML model takes in physician review towards model improvement.
A study shows that the federal government's readmission penalties on hospitals will reach a new high as Medicare withholds more than half a billion dollars in payments over the next year. We process EHR data locked up in multiple systems to enable easy analysis and reporting.request demo
One of the key indicators of the quality of a hospital's care is how frequently its patients are readmitted within a month after being discharged. The government will penalize more than half of the nation's hospitals - a total of 2,597 - having more patients than expected return within a month for patients with identified common conditions. Our predictive health engine can help identify patients at risk for these conditions so alerts can be raised for necessary interventions.
Help healthcare providers identify patients who are at risk of developing certain conditions and take preventative measures.
Medical diagnostics can identify at-risk patients and enable preventative measures, leading to improved patient outcomes.
AI task automation in healthcare improves efficiency, reduces errors, and saves costs by automating routine tasks and allowing providers to focus on complex care.
Speed up drug development by analyzing large amounts of data to identify potential new drug candidates.
AI remote patient monitoring enables early detection & personalized care, improving patient outcomes by preventing escalation of health issues.
Medical image analysis of X-rays, MRIs, and CT scans to assist with diagnostics and treatment planning.
Predera is advancing the field of polygenic risk scores using machine learning and AI-based tools to improve human health and quality of life.
Genomic sciences and GWAS studies have revolutionized the field of medicine, and AI-based solutions are the key to unlocking their full potential, leading to significant breakthroughs in disease diagnosis, prevention, and treatment.
Predictive analytics can help healthcare providers identify patients at risk of readmission, improve post-discharge care quality, and reduce healthcare costs by identifying potential risk factors and taking proactive steps to address them.
We can help you advance your AI projects. Contact us to schedule a demo to learn about our AI-driven solutions.