As the demand for healthcare has drastically increased over the recent months, we all have our eyes on how the field is going to adapt. With healthcare costs rising and a physician shortage growing, people in the profession have such packed schedules and are having trouble keeping up. With the implementation of artificial intelligence, it seems like it will be a major help and not a threat to jobs. There are a few ways AI will change healthcare and we are going to get into them!
In the sectors within healthcare, speed is a top priority. A stroke detection platform called Viz.ai is an example where time counts. Every minute that is reduced for time-to-treatment with their deep learning algorithms has saved 1.9 million patient brain cells. Viz.ai did a study that showed their swift and efficient system reduced patient disability post-stroke.
Healthcare costs are skyrocketing and using AI can cut costs in different areas. A clinical digital assistant system, Suki, uses natural language processing to take notes that a scribe or doctor would usually have to type. Their newest update called Suki Speech Service has proven a 99.5% accuracy rate. Suki is powered by software, not humans, which creates a cost-effective solution that improves revenue and patient experiences.
Accuracy is important in healthcare, especially when it comes to cancer detection. Google AI said they could outperform doctors on detecting certain types of breast cancer. The data and intelligence AI gathers can help more accurately answer questions and make better-informed decisions in the industry.
The adoption of AI is still in the works and receives skepticism by not only professionals in the field but patients. As a society, it doesn’t seem like everyone is on the same page of trusting AI and its accuracy. But with the trend of the way healthcare is going, people are starting to see the benefits of AI being implemented. AI products must be aligned with the reality of the current state of healthcare.
In an article from Forbes, they say, “it is exceptionally important to prove a business ROI in addition to clinical improvements.”
While we are not at the point where healthcare and AI are fully intertwined, we have made progress in getting there.