How GE's health cloud will transform the healthcare sector
In an attempt to help doctors move faster, GE Healthcare IT is now developing a cloud-based app that will make data gathering, software and analytics the core of GE’s transformation to the world’s largest digital industrial company.
The software will be able to sort terabytes of raw data from a CT scanner into a full picture of the brain in about five minutes. A normal computer takes about six hours to process information from a CT scanner, but the preferred treatment window lasts only about 3-4 hours.
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“Speed is one of the most important elements of treating stroke,” said president and CEO of GE Healthcare Jan De Witte. “If doctors can intervene quickly, they can often help patients escape serious damage to the brain.
Since the data will be stored in a cloud, it will be accessible to experienced clinicians in stroke centers. There, they will be able to read patient scans from remote hospitals, discuss treatments online and make recommendations to their colleagues.
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“Using the massive computing power of the cloud, we’re able to assemble complex images in 3D, manipulate them and generate little movies that show the blood flow through the brain and show doctors where the blockage is sitting,” said De Witte.
The health cloud is designed to be an ecosystem connecting software, hardware and medical devices. It intends to host data and also help doctors and clinicians collaborate and compare notes and insights as easily as using a social media platform.
The amount of data from healthcare devices is expected to increase 50 times by 2020, and the new cloud will begin by connecting over 500,000 GE imaging machines. By the end of the decade, GE intends to move all of its medical software into the cloud.
“The industry is moving from healthcare that’s driven by volume to a system built on value,” said De Witte. “The health cloud will help us get there.”
Introducing Dosis - the AI powered dosing platform
Cloud-based platform Dosis uses AI to help patients and clinicians tailor their medication plans. Shivrat Chhabra, CEO and co-founder, tells us how it works.
When and why was Dosis founded?
Divya, my co-founder and I founded Dosis in 2017 with the purpose of creating a personalised dosing platform. We see personalisation in so many aspects of our lives, but not in the amount of medication we receive. We came across some research at the University of Louisville that personalised the dosing of a class of drugs called ESAs that are used to treat chronic anaemia. We thought, if commercialised, this could greatly benefit the healthcare industry by introducing precision medicine to drug dosing.
The research also showed that by taking this personalised approach, less drugs were needed to achieve the same or better outcomes. That meant that patients were exposed to less medication, so there was a lower likelihood of side effects. It also meant that the cost of care was reduced.
What is the Strategic Anemia Advisor?
Dosis’s flagship product, Strategic Anemia Advisor (SAA), personalises the dosing of Erythropoiesis Stimulating Agents (ESAs). ESAs are a class of drugs used to treat chronic anaemia, a common complication of chronic kidney disease.
SAA takes into account a patient’s previous ESA doses and lab levels, determines the patient’s unique response to the drug and outputs an ESA dose recommendation to keep the patient within a specified therapeutic target range. Healthcare providers use SAA as a clinical decision support tool.
What else is Dosis working on?
In the near term, we are working on releasing a personalised dosing module for IV iron, another drug that’s used in tandem with ESAs to treat chronic anaemia. We’re also working on personalising the dosing for the three drugs used to treat Mineral Bone Disorder. We’re very excited to expand our platform to these new drugs.
What are Dosis' strategic goals for the next 2-3 years?
We strongly believe that personalised dosing will be the standard of care within the next decade, and we’re honored to be a part of making that future a reality. In the next few years, we see Dosis entering partnerships with other companies that operate within value-based care environments, where tools like ours that help reduce cost while maintaining or improving outcomes are extremely useful.
What do you think AI's greatest benefits to healthcare are?
If designed well, AI in healthcare allows for a practical and usable way to deploy solutions that would not be feasible otherwise. For example, it’s possible for someone to manually solve the mathematical equations necessary to personalise drug dosing, but it is just not practical. AI in healthcare offers an exciting path forward for implementing solutions that for so long have appeared impractical or impossible.