disparate, siloed data impacts every area of the Healthcare System
Complete patient experience transformation by enabling smarter, continuous, enhanced care
Optimized care pathways and streamlined operations via AI-powered decision-making
Reduced administrative burdens and optimized caregiver support by streamlining workflows
Data integration across multiple systems/modalities (FHIR, DICOM), providing actionable insights
Accurate population health management via actionable insights, leading to personalized care
Medical research acceleration by using advanced BI & analytics to discover new data patterns
With extensive technical experience in developing solutions on BigQuery and Looker, our team of certified architects, Data Engineers, DevOps engineers, and Business Intelligence developers are well-equipped to support your industry’s heavy data-driven needs, like real-time analytics and multi-source integration.
Healthcare platform Lumiata uses Google Cloud’s AI technology to perform data prepping, model building, and deployment – tackling inherent challenges in healthcare organizations.
Vida Health builds a virtual platform on Google Cloud, cutting costs and overhead, saves healthcare providers valuable time, and delivers ML capabilities that operationalize their data for better patient health outcomes.
By combining clinical data, ML, and Google Cloud’s scalable infrastructure, Emory University’s sepsis prediction engine uses real-time analytics to provide better care for at-risk patients while controlling medical costs.
Rush University Medical Center improves customer experience and patient outcomes with the MyRush app that connects patients, providers, and healthcare information using the Google Cloud Platform.