Girish Navani is the Chief Executive Officer of eClinicalWorks, a frontrunner in ambulant aid IT solutions. As CEO, he leads efforts to grow and expand all aspects of the business. Navani also actively manages the development and product roadmap for eClinicalWorks solutions.
Before he co-founded eClinicalWorks, Navani led successful IT and business actions at Fidelity Investments, Teradyne and Aspen Technology. Before that he completed his Bachelor’s degree in Engineering at Gujarat University in India. He also holds a Master’s of Science in Engineering from Boston University.
When the company was started in 1998, it was a five-man startup run by its current chief executive officer and co-founder Girish Kumar Navani. Other key members included Raj Dharampuriya as chief medical officer, Sam Bhat as vice president of sales, and and Satya Chunduru as vice president of research and development.
According to a September 2007 article in Boston Business Journal, “the three top executives are all related. Girish Navani (Co-Founder) and Chief Operating Officer Mahesh Navani are cousins, and Dharampuriya is Girish Navani’s brother-in-law.
At the HIMSS18, CEO Girish Navani gave a glimpse of the forthcoming version of eClinicalWorks EHR — it will look similar to the Bloomberg Terminal. The hosted service would make a giant step forward for the EHR vendor that last year settled a $155 million case with the U.S. Department of Justice in a False Claims Act suit.
The goal of the next version of eClinicalWorks is to give doctors four key technologies that will help them make decisions in real time, with information on four possible treatment tracts for the patient.
Navani visualizes the setup as such: A physician walks into the office with a huge screen that includes pertinent information about the patients the doctor will see that day, a telemedicine tool that will allow him to connect with patients remotely, a virtual assistant with speech bundled in interacting with the software and a machine learning-based panel that will provide evidence-based clinical suggestions.
“The last decade was spent putting data in EHRs,” Navani said. “The next decade is about intelligence and creating interpretations that improve medical help results.” Navani pointed to the machine learning’s potential use. Cases include the common alerts about lab results that may overflow a doctor’s inbox.
This poses a challenge in identifying which results are more critical than others. Machine learning would be able to identify the abnormal results that require immediate action from the normal ones that do not. What’s more it could identify an atrial fibrillation patient with a high potassium level who needs to go to a healthcare facility immediately due to a serious problem that could show in the next 24 to 48 hours.
“There is enough information now for machine artificial intelligence to work,” Navani said. “We can have the computer do things for the practitioner to make them aware of a variety of options they can consider and the proper medical actions to take.”
eClinicalWorks is currently developing the application to recognize computer monitors, such as Microsoft Surface, that work well with Google Chrome. Navani said eClinicalWorks is planning to make public the forthcoming version and roll it out in late 2018 or early 2019.