EHR Solutions, Backed by Oracle’s AI-Enhanced Clinical Digital Assistant, Provide Welcomed Accuracy and Efficiency in Healthcare
Generative AI integration with electronic health records is poised to free clinicians from administrative burdens while strengthening patient-provider relations
This story was produced through MarketScale. See how Healthcare teams put it to work with Executive Thought Leadership.
Key takeaways
Generative AI integration with electronic health records is poised to free clinicians from administrative burdens while strengthening patient-provider relations
Get featured
Want to get featured in MarketScale Healthcare?
Create a free MarketScale workspace and get your company's expertise featured across our Healthcare coverage. No credit card, no demo required.
Oracle aims to revolutionize patient care with its new Clinical Digital Assistant, leveraging generative artificial intelligece (AI) and voice technology integrated with EHR solutions to improve patient-provider interactions and reduce manual tasks for healthcare providers. This innovative tool, expected to launch in the next 12 months, promises to automate note-taking, streamline workflows, and enhance the overall quality of healthcare delivery.
How can emerging tools like Oracle's Clinical Digital Assistant bridge the gap between technological efficiency and the human touch in patient care? Arpita Hazra, MD, MPH, a Clinical Patient Safety Data Specialist with Healthcare Risk Advisors, emphasizes the potential for generative AI to enhance direct patient care by reducing time spent on administrative tasks.
It's going to help them to make sure that nothing is missed out and everything is documented… So more direct patient care, less time spent on the computer, and that's a win-win for patients and physicians.
— Arpita Hazra, MD, MPH, Clinical Patient Safety Data Specialist at Healthcare Risk Advisors
Your experts belong here
Every story in MarketScale Healthcare starts with a company putting its clinicians, service-line leaders, and field engineers on the record. Buyers are already reading this topic. The only question is whose experts they find.
Service-line buyers vet vendors quietly, and your clinicians become the proof they find while doing it.
About the author
Arpita Hazra, a dedicated physician, combines her medical expertise with a passion for building AI and machine learning models aimed at enhancing patient outcomes. Her boundless energy and unwavering motivation are evident in her multifaceted career. With a profound understanding of clinical data management, health education, public health, and program planning, Arpita has excelled in various domains including project management, patient safety, and risk analysis. Her versatility extends to healthcare consulting and clinical risk consulting, where she brings a wealth of qualitative and quantitative research experience to the table. Arpita is a force in healthcare business development, equipped with technical skills in Power BI, Azure Databricks, SQL, and SAS programming. Her expertise also encompasses healthcare data model architecture development and user acceptance testing (UAT), as well as medical writing. In essence, Arpita Hazra is a well-rounded professional with a mission to bridge medicine and technology for the betterment of patient care and outcomes.
