The introduction of Electronic Health Records made 3 promises – speed, access, and data sharing. There has been widespread adoption of Electronic Health Records (EHRs). However, despite the best intentions as well as immense government investment, there have been challenges. One of them is the effective collection and analysis of the massive amounts of EHR data collected were proving to be a bottleneck in the extraction of meaningful insights. A single patient can generate about 80 megabytes of data per year – this encapsulates the challenge faced with the accumulation of data from digital medical records after the advent of EHRs.Ai In EHR Provides Many Advantages: -1. Predictive Analysis2. Data Visualization3. Natural language processing4. Security & Privacy5. Pre-existing condition mapping6. Prognosis & Diagnosis7. Data fetching from wearablesAnd some other advantages AI provides in EHR. I have written in depth on How Ai in Healthcare can Improve the Efficiency of EHR Systems?Visit our website for more information.Source URL: - https://itechindia.co/us/blog/ai-in-ehr-software-systems-using-ai-to-improve-ehrs-data-in-healthcare/
