Trusted IoT security for healthcare
Palo Alto Network offers IoT security solutions which allows the healthcare industry to trust every device on their network.
One of the key partners of Children’s Hospital of Orange County in California, US, Palo Alto Network has introduced the health sector’s first turnkey IoT security solution.
This is healthcare’s most comprehensive security solution
- delivering visibility, prevention, enforcement and operational insights - all powered by cloud - delivered machine learning.
It is estimated that by 2025 there will be 500 million healthcare devices deployed globally - many running legacy software and lacking encryption - which all poses the biggest security risk.
In an industry where security is paramount, Palo Alto Network is leading the way with turnkey IoT and is committed to delivery security “without compromise”.
“Our vision is a world where each day is safer and more secure than the one before,” is the message from Palo Alto Networks which has 80K customers covering 150 countries and a revenue of $3.4 billion in 2020.
By helping to prevent tomorrow’s network threats today, Palo Alto Networks focuses on best-in-breed solutions in network security, cloud native security and in security operations for both healthcare and enterprises.
According to Founder and CTO Nir Zuk: “To properly leverage machine learning and automation, a single-vendor platform is key.”
Walt Disney provided financial support to open the first dedicated children’s hospital in California 55 years ago. CHOC is now undergoing a digital transformation - harnessing the power of intuitive technology - which is creating a smooth experience for patients and clinicians and Palo Alto Networks has been crucial in this journey.
Adam Gold, Chief Technology Officer at CHOC, commented on how Palo Alto Network was “critical” in getting the hospital’s infrastructure built.
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.