The implementation of Artificial Intelligence (AI) in healthcare is long overdue, but it’s starting to take hold with more this year. The reports that 83% of healthcare executives have an AI strategy in place, and another 15% are planning on creating one. In fact, 56% say they are accelerating or expanding their AI deployment timelines in response to COVID-19.
But with anything “new” there’s a lot of misinformation, so we’re going to dispel the five most common myths about AI in healthcare.
MYTH 1: AI WILL REPLACE DOCTORS
Technology can’t and won’t replace actual physicians, but it will help them be more efficient and provide better care to patients. For instance, AI with machine vision can monitor patients who are at risk of falling and notify healthcare workers before the patient intends to get up, preventing a fall. AI can also be used to monitor patient vitals, which are then transmitted to nurses and doctors so they can take a proactive approach and possibly prevent serious health complications such as heart attacks and sepsis.
MYTH 2: BIG DATA WILL FIX EVERY PROBLEM
AI is only as good as the data it collects. It’s not a one-size-fits-all solution—far from it. Implementation of AI within health systems is specifically adapted for the circumstances in which it will be used. It can streamline administrative processes like patient codes for billing and allow more patient accessibility. AI is also used to help doctors’ treat patients. Complex health data is distilled into accessible, measurable information doctors can use to diagnose illnesses and provide prescriptive wellness programs. The possibilities are limitless!
MYTH 3: IMPLEMENTATION IS HARD
If you’re partnering with the right company, implementing AI can be seamless! VirtuSense Technologies‘ products are simple to setup and they are compatible with endpoint devices already in use by your staff such as smart phones, iPads, and the central console.
MYTH 4: IMPLEMENTATION IS EXPENSIVE
Many AI companies are creating technology that can be adapted with the systems and tools already in use by the healthcare facility, so they are affordable—sometimes, more affordable than solutions currently in place.
MYTH 5: AI WILL SHARE PERSONAL DATA
Any technology implemented in a healthcare setting has to comply with strict HIPAA privacy rules. Also, unlike video surveillance, AI remote sensors aren’t cameras and don’t record patients. The sensors detect movements and anomalies based on thousands of hours of normative data to alert health providers before an issue arises or worsens.
At our mission is to accelerate access to care. Predictive AI can make healthcare simple, affordable, and accessible without compromising the quality of care.