What Every Sector Can Learn From How AI Reimagined the Healthcare Experience
Artificial Intelligence is a hot topic in the business landscape right now, empowering companies to create hyper-connected and hyper-personalized offerings that better address consumer needs. You don’t have to look far for examples of AI powering some of the world’s most impressive breakthroughs, and most recently the healthcare industry has been trailblazing its own path with the technology.
Once plagued by fragmentation, advancements in AI are empowering our healthcare system to reach higher levels of interoperability. Culminating in a seamlessly interconnected landscape, free-flowing data will enable the industry to design customized solutions to save lives, and empower people to take care of themselves without the need for medical supervision.
At the helm of this reimagining of industry, artificial intelligence is gaining popularity as a tool for enhancing patient care, communication and diagnosis. Read on to learn more about this pivotal technological advancement and how it applies to your industry.
One Size Doesn’t Fit All, How AI Enables the Setting of Personal Baselines in New Products and Services
Algorithms trained on individual data are establishing target models of personal health to drive hyper-customized health, wellness, and fitness plans.
UPOlife’s new heart monitoring product is a personal, pocket-size, portable electrocardiogram device that works in combination with an app and cloud-based AI analytics. The device allows patients to monitor their own heart health without having to visit a doctor. Users are able to perform a 60 second ECG reading, along with calculating their risk of heart disorders, stamina, emotional, stress, and fatigue scores. Over a seven day period, machine learning algorithms create a personal baseline. Results are uploaded to a cloud server via Bluetooth, and AI algorithms analyze the data and provide fast results on the patient’s phone. Patients can then share their results with their doctors, even if they don’t use the UPOlife platform.
Don’t Take it Personally — How Technologists Train AI Models Without Using Your Info
In order to better protect patient health information, technologists are training AI models across a decentralized network of devices without exchanging personal data. (This technique is also known as federated learning).
Lynx.MD enables data sharing between hospitals and the community of med-tech and life sciences companies, significantly shortening data access times and the time to market of new digital health technologies. Its cloud-based platform lets AI developers access and study hospital data, and facilitates AI’s integration into healthcare without concern of data privacy and security. Using cybersecurity best practices and an advanced privacy engine, they ensure complete security and privacy to enable seamless collaboration between AI developers and healthcare providers. The data never changes hands and all AI model training and development happens in the virtual private cloud sandbox of the hospital. To solve concerns for data security during the development engagement, the startup developed a novel distributed federated learning algorithm to allow developers access to hospital’s data without bringing their requested data into the same location, ensuring no private information can be extracted from the hospital’s environment. Their platform supports multiple data formats, including electronic medical and health records, medical images, and genomics in combination with data from public sources. They also format the unstructured data using natural language processing algorithms, standardizing all sources and streamlining data preparation.
How Can I Help You? Automated Concierge Provides Customer Support While Enabling Employees to Focus on More Important Tasks
AI-driven platforms are helping patients navigate and simplify complex health systems and processes (e.g, testing, vaccination, quarantine) at scale without overstraining patient-facing teams.
Research shows consumers who don’t understand how their health plan works, or how to estimate out-of-pocket costs, are more likely to delay or avoid essential care. Watson Assistant for Health Benefits aims to help address this issue by leveraging conversational AI to streamline the engagements between agents, employers and Humana Employer Group members with clear and accurate information on benefits, healthcare costs and providers. Initially, the service will be available to all of Humana’s 1.3 million Employer Group medical members, and 1.8 million of Humana’s Employer Group dental members.
With all these trends at play, Healthcare is truly evolving with AI. As with all industries though, it’s the patient-centric approach to the technology and industry at hand that helps us realize the possibilities before us. As the world pushes towards a more interconnected, seamless, personalized, predictive, transparent, and equitable healthcare system, be sure to take a step back to notice the parallels between this paradigm shift, and the one in your industry.
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