eClinicalWorks, a healthcare technology company, has recently harnessed the power of OpenAI tools such as ChatGPT and integrated it into its EHR (electronic health records) and practice management systems. This move comes after the firm migration of the system to Microsoft Azure.
The ChatGPT AI tool is intended to reduce the burden of administrative tasks clinciians have to deal with. As a result, users have the capability to efficiently converse with the EHR system and access patient records with more ease. Furthermore, the AI can summarize conversations made between the patient and the provider, benefitting both parties.
Girish Navani, the CEO and co-founder of eClinicalWorks, shared his enthusiasm about bringing more AI-based solutions to their customers. In a recent news release on April 17, Navani proudly said, “We have been in the world of machine learning and data science for years, and our users have benefited from our AI-based tools, like eClinicalWorks Scribe. We strive to stay ahead of the technology curve and look forward to bringing many more AI-based solutions to our customers.”
eClinicalWorks has been providing comprehensive electronic medical records solutions to more than 1 million providers and 80 million patients. With over 20 years of experience in the healthcare industry, they constantly strive to make healthcare digital solutions true and improve the quality of care they offer to their clients. The recent integration of AI tools such as ChatGPT into the EHR and practice management systems only demonstrates eClinicalWorks’ commitment to the innovation of the healthcare field.
Girish Navani stands as one of the pioneering figures of the healthcare technology industry. Being the Co-Founder and CEO of eClinicalWorks since 1999, Navani has been present in the digital transformation of the healthcare industry and has lead the company to become a leader in the field. Under his directives, eClinicalWorks has been revamping their electronic medical record solutions to be more intuitive and efficient, leveraging the help of machine learning algorithms and providing better healthcare experiences to millions of patients and providers.
