Healthcare
Transforming healthcare with AI
Proprietary software and algorithms to extract value from unstructured data in healthcare
Healthcare
Transforming healthcare with AI
Proprietary software and algorithms to extract value from unstructured data in healthcare
Today’s challenges
Making data accessible via the cloud
The cloud centralizes data, making it instantly accessible. In healthcare, this enables real-time, AI-enhanced critical care decisions. This advancement is crucial to preventative medicine. But, cloud migration is complex, due to legacy systems with siloed data – which hinder data flow. Despite this, migration promises game-changing improvements in cost management and patient diagnostics.
Managing remote care
Online appointments remove the need for many outpatient services, which can be difficult to access, leading to greater reliance on emergency care. But data protection must be the cornerstone of the virtualization of services. Finding a way to securely embed video conferencing within a healthcare provider’s website or app will unlock the value of virtual care, which came to bear during the pandemic.
A team of teams for Healthcare
How to efficiently add different digital channels to a fast growing system map
SNGULAR Trials Unlocks Decentralised Clinical Trials
SNGULAR Trials is a platform that allows clinical trials to be conducted remotely by connecting patients to medical staff without trips to the hospital or clinic
Digital technologies at health services
Digital technologies offer powerful tools to help scientists develop diagnostic and treatment models. We can name several digital technologies that are increasingly stepping up in the field of healthcare.
Bio-health
Using technology to understand how molecules, cells and organs work, as opposed to previous models that focused on disease progression.
Interview with Trinidad de Frutos
She is a Scientific Medical Advisor, and we talk about how digital technologies can help in the healthcare field.