More and more, we are starting to see an established relationship between providers and artificial intelligence companies, offering services to enhance skills in this digital revolution. Just this week, we learned that Mount Sinai plants to partner with RenalytixAl, an AI startup based in NY and the UK. The partnership goal is centered around preventable kidney disease tactics. AI will predict which patients have the greatest risk of kidney disease, leading to early prevention.
It is almost impossible for healthcare providers to function without machine learning. They are experiencing an overload of data right now, so going through all of this information in a timely manner (and within budget) becomes very difficult.
“Finding ways to take all that deluge of data and turn it into something that is actionable and meaningful for clinicians is what all that data is about. The last ten years have really been about finding ways to generate more data about patients, so we have lots of genomic data. The next 10 years are really about making meaning from that data.” Dr. Mark Michalski
What are some benefits of machine learning? Will artificial intelligence change and ultimately fix healthcare today?
VHA: Virtual Health Assistant
This type of machine learning will help people stay on track with their prescription medication using reminders, real time advice on treatments, and doctor engagement with patients. VHA’s can even monitor patients based on data.
Right now, the patient experience is focused on a “patient-first” mindset, where the patient/consumer has full control of their journey. Enter ChatBots. It gives patients access to quick, real time answers just by sending a message at any time or location. These bots can be found in mobile messaging apps and have progressed significantly since its start. Bot enhancements include mimicking human conversation, understanding emotion and incorporating natural language processing.
By understanding patterns across data points, doctors can see health patterns at all different levels. This type of work would take humans forever to identify. An ML algorithm can quickly scan a personal health record as well as a family health record and come up with suggestions going forward. In turn, this will speed up doctor visit times and also help doctors keep up with all patient information.
We’ll be keeping an eye on this as there are so many factors that still need some fine tuning. Just last year, Royal Free NHS of the UK got into a bit of trouble after sharing patient record information with Google DeepMind (a way to take machine learning and use it for realistic impact at Google scale). There is a lot more to learn about legality and its effects on privacy of the patient. Stay tuned.
About the Digital Healthcare Transformation Assembly
The future of healthcare is digital. With the FDA providing clarity with the launch of new regulations regarding digital technology in 2018, developers and healthcare industry stakeholders alike are working to transform the patient experience.
The healthcare landscape is changing. The on-demand patient increasingly favors digital technology and platforms. According to Pew Research, a third of Americas have gone online and searched symptoms, in an attempt to diagnose a medical condition.
The US healthcare industry is unique, as it markets direct-to-consumer or direct-to-patient. Digital marketing technology is enabling healthcare marketers to talk directly to consumers in a new, more engaging way.
The Millennium Alliance is pleased to announce our bi-annual Digital Healthcare Transformation Assembly will be taking place June 11-12, 2018 in Denver.