How Can AI Platforms Boost Efficiency in Healthcare?

AI platforms are becoming central to healthcare as providers seek faster insight from complex clinical data.

By embedding intelligence into everyday workflows, they help clinicians make better decisions, reduce pressure on overstretched systems and focus more time on patient care.

These AI platforms can be used to manage the complexity and large volumes of data often found in healthcare settings, helping drive efficiency and streamline processes for doctors, nurses and clinicians.

As costs rise and expectations increase, AI platforms are shaping a more resilient healthcare model that is more predictive and personalised than ever before. 

Tempus

Tempus is a precision medicine platform applying AI to clinical and molecular data, with a strong focus on oncology.

Its technology supports personalised treatment decisions, clinical trial matching and research insights.

By combining genomics, imaging and real-world data, Tempus has established itself as a leader in data-driven medicine.

The company has announced a strategic collaboration with NYU Langone Health to advance precision oncology.

This research aims to enhance genomic diagnostics to improve patient outcomes, inform future clinical practice and accelerate the development and validation of algorithmic diagnostics.

Ezra Cohen, MD, Chief Medical Officer, Oncology at Tempus, says: "Through the integration of advanced genomic technologies and data science, we are deepening our understanding of cancer's complexity and pioneering transformative approaches for patient monitoring and treatment.

"Our research is focused on generating actionable insights through better understanding of cancer response, resistance, and trajectory that will not only refine and enhance current assays, but also drive the creation of innovative diagnostic tools and algorithms that can empower clinicians to deliver truly individualized care to their patients.”

AWS HealthLake

AWS HealthLake is a fully managed health data platform designed to store, transform and analyse clinical data at scale using AI and machine learning.

It is marketed as a one-click health datastore which stores siloed data, as well as being able to extract medical terminology from unstructured clinical data.

Built on FHIR standards, it underpins countless healthcare AI applications globally.

It can be used for patient phenotyping, predicting treatment plans, predicting benefits of certain drugs, detecting fraud risk and enrolling patients.

Its strength lies in flexibility, interoperability and deep integration with the wider AWS ecosystem, making it a foundational platform for digital health innovation.

According to AWS, 19 of the top 20 pharmaceutical companies globally use the company's services for generative AI and machine learning.

GE Healthcare uses AWS's AI services to build and implement new, versatile foundation models aiming to transform the future of healthcare.

These generative AI-powered workflows aim to fast-track the delivery of innovations to streamline healthcare operations, increase diagnostic and screening accuracy, enhance outcomes, lower access hurdles and promote equitable care.

Matt Garman, CEO of AWS, says: "With AWS, GE Healthcare plans to use the cloud to deliver more personalised, intelligent and efficient care.

"GE Healthcare  is putting generative AI at the heart of their innovation, accelerated by the investments we have made in healthcare-specific cloud services and generative AI capabilities that provide best-in-class security, data privacy and access to the latest state-of-the-art foundation models.

"With AWS as their strategic cloud provider, GE Healthcare can build transformative clinical foundation models and applications for the healthcare industry."

Microsoft Dragon Copilot

Microsoft Dragon Copilot represents the most advanced clinician-facing AI platform in healthcare today.

Combining ambient clinical intelligence, Gen AI and workflow automation, it reduces administrative burden while improving documentation quality and care delivery.

Embedded within Microsoft’s broader healthcare and cloud ecosystem, the platform is rapidly becoming central to everyday clinical practice at enterprise scale.

Joe Petro, Corporate Vice President of Microsoft Health and Life Sciences Solutions and Platforms, says: "At Microsoft, we have long believed that AI has the incredible potential to free clinicians from much of the administrative burden in healthcare and enable them to refocus on taking care of patients.

"With the launch of our new Dragon Copilot, we are introducing the first unified voice AI experience to the market, drawing on our trusted, decades-long expertise that has consistently enhanced provider wellness and improved clinical and financial outcomes for provider organisations and the patients they serve."