EHR systems are well suited for an automated process such as natural language processing, AI that could improve patient care, reports Health Tech.
“Part of the issue with documentation is that we are asking doctors to document things in a very specific and unnatural way,” says David Talby, CTO of healthcare artificial intelligence company John Snow Labs. There are quality metrics to consider, and EHR documentation is often written the way it is for insurance purposes, Talby adds.
But the text-rich nature of an EHR system means that it can be well suited for an automated process such as natural language processing, a specialized branch of AI that allows computers to understand unstructured written or spoken data. And NLP’s promise to improve medical record usability has spurred a lot of business interest in the healthcare industry.
As healthcare systems continue to find ways to solve clinician burnout from EHRs, AI-based solutions can offer a path to ease staff frustration and increase time for patient care.
Read more in Health Tech.