KenSci | Machine Learning powered Risk Prediction Platform for Healthcare

Save lives and costs

KenSci was built by doctors and data scientists to help healthcare service providers intervene earlier, at lower costs. KenSci’s risk prediction platform helps uncover clinical, operational and financial risks by aggregating data from existing sources such as EMR, ADT, Claims and Financial data.

KenSci helps answer the harder questions

Who might get sick?

Predict Population Health Risk by identifying future patterns of clinical and cost outcomes.

What drives our healthcare costs?

Model the complex interplay of disease progression and utilization to anticipate chronic and critical illness.

How can we solve these problems?

Optimize Care Coordination at out-patient, in-patient and home care levels by using predictive risk stratification.

How to provide better care outcomes?

Identify and intervene to reduce variation in outcomes, quality, and cost measures.

Meet our customers

Real stories of transformation from people who have witnessed ROI in 12 weeks

ML Powered Nursing Care

KenSci, Evergreen Health and Microsoft get together to discuss how predictive analytics is impacting nursing care across health systems.

Better operational efficiency with ML

Fullerton was able to successfully decrease the number of patients with chronic diseases by 60% with operational analytics and Machine Learning.

Reducing risk of readmissions

KenSci partnered with Multicare Health System, with support from Edifecs, to build a Microsoft Azure-based toolset to predict risk of hospital readmission (RaaS).

Get answers. Fast.

Pre-built models, applications, and workflow integrations enable our customers to identify the problems fast and gather solutions faster.

KenSci.ai

ML powered Risk Prediction

Gain predictive insights for smarter decisions

ML model library and assembly with visualization, reports, alerts and APIs, made for CFO, Medical Directors, Pop. Health Mgrs., Case managers and auditors