How artificial intelligence can improve EHR usability
In the fast-paced environment of healthcare today, patients and technology compete for our attention.
How can your electronic health record (EHR) help rather than hinder patient care? What’s the future of artificial intelligence in healthcare?
Greenway launched its Project Polaris initiative to answer these questions. One way we intend to improve EHR usability is through artificial intelligence (AI).
Artificial intelligence in healthcare
Through deep learning, machines can solve complex problems and learn using data at a pace several times faster than humans. In a healthcare setting, AI can answer questions, support decisions, and complete tasks.
“People see the value of AI to improve administrative and clinical healthcare functions, and that’s where EHR comes into play,” said Shivaji Sarkar, chief systems architect for Project Polaris. “We’re the first line of defense.”
The healthcare AI market size is expected to reach $6.6 billion by 2021, up from $600 million in 2014, according to consulting firm Accenture.
"People see the value of AI to improve administrative and clinical healthcare functions, and that’s where EHR comes into play."
Shivaji Sarkar, chief systems architect for Project Polaris at Greenway Health
Greenway is exploring the use of deep learning techniques for natural language processing as well as to assist in clinical decisions through predictive ordering. AI has the potential to assist in administrative workflows, integrate with wearables, and provide automated image diagnosis.
Not long ago, AI was a “distant dream” for researchers, but today it’s all around us, Shivaji wrote in a LinkedIn blog.
“Platforms should be able to take away the drudgery of everyday tasks, which frees up people so they can act on insights and add more human value such as empathy and creativity,” he wrote.
For more information, CLICK HERE to schedule a conversation with a Greenway representative. Or watch our 3-minute overview video HERE