Tag: Ray D’Onofrio

Machine Learning Is Poised To Transform The Patient Experience — If We Let It

Machine Learning for Marketing - IE Exponential Learning Blog

By Ray D’Onofrio, principal data architect, SPR.

Could Amazon’s personal assistant, Alexa, predict when you will be sick? Or, if Siri is the first to know you have COVID-19.  It’s not as far-fetched as it sounds. Artificial intelligence (AI) is already transforming healthcare in a number of ways and by combining today’s technology with available data from a range of sources (e.g., electronic health records (EHR), personal buying habits, etc.), we can achieve even more important breakthroughs.

There is limitless potential in the way AI and machine learning (ML) can better equip healthcare professionals for their jobs. Instead of replacing our doctors and nurses, the technology works alongside their skills and expertise to elevate their patient care overall. This pairing of human and machine can create an efficient workplace for clinicians to deliver even more quality care to patients at scale.

The expanded use of AI and ML in healthcare hinges on several factors, including data ownership concerns and the ethical implications of providing healthcare data to technology companies like Google and Amazon. But with the right approach, it’s possible to leverage AI and ML to achieve better medical outcomes.

We don’t know how to effectively use AI yet

We’re familiar with the potential applications of AI in healthcare. For example, we know that in many cases, AI is better equipped to detect skin cancer than a human doctor. In addition to improving diagnoses, AI also holds promise in the development of customized treatment plans and giving patients greater control over their conditions. When AI and clinicians work together — such as when Harvard combined analysis from human pathologists with AI to identify breast cancer cells — it can produce even more effective results.

While the potential uses for ML and AI in the healthcare space are vast, these technologies are only as effective as the data that is available to them. If we could access all of the patient’s available data, — from their electronic health record, to their data stored by Google, Amazon and other technology providers — we would have a more comprehensive view of the patient’s health and significantly improve their experience using today’s technology.

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