Parents go online for medical advice before hospitals
Parents are regularly using the internet to carry out research into the injuries, illnesses and medical conditions of their children, Reuters Health is reporting.
New research has estimated that one in eight parents go online for medical and health information before taking children to hospital emergency departments.
The study was carried out by Dr Purvi Shroff from the University of Louisville in Kentucky.
She also found 50 percent of parents use the internet to try and find an answer for a health-related question concerning their child.
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Additionally, Dr Shroff discovered many parents are happy to visit health websites suggested to them by their child’s doctor.
Speaking to Reuters Health, Dr Shroff said: “Being invested in your child's health and wanting to learn more and make the best decision for your child is always a good thing.
“However, when it comes to using the internet, appropriate use depends on accessing good websites and knowing whether or not the information you find is applicable to your child,” she added.
She also stressed the need for parents to discuss their online findings with their child’s doctor and said doctors and pediatricians should then adapt the findings to the context of each individual child.
The study found the most popular websites for parents to visit were Wikipedia and WebMD.
In a stark contrast, the government-run website for the Centers for Disease Control and Prevention and the website of the American Academy of Pediatrics' Healthy Children were rarely used by parents or guardians.
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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.