The COVID-19 pandemic has raised serious questions about clinician burnout. While not the only cause of the issue, some research suggests that technology and EHR burdens are contributing factors. Today’s medical technology frequently takes time away from patient care and makes a doctor’s job more complicated rather than easier.
Los Angeles-based Regard reduces the significant administrative burden that healthcare providers have long carried, enhancing the experience for all parties. Regard is a clinical workflow solution that analyzes and synthesizes patient data, suggests diagnoses, and streamlines note-taking. Their system handles tedious duties, freeing up doctors to concentrate on improving healthcare.
Its HIPAA-compliant, secure solution is immediately integrated with EMR for a smooth workflow, serving as a clinical co-pilot for healthcare professionals in their day-to-day activities. The technology, which has been created for provider workflows, retrieves and reviews clinical data in real-time, highlighting what is needed. The AI-powered system suggests diagnoses and specifications, obviating the need for administrative follow-up and enhancing patient care. It performs the tedious drafting and updating of documentation in a reliable and knowledgeable fashion.
Their sophisticated platform guarantees thorough and accurate diagnoses, minimize coding inquiries, and simplifies medical practice. Regard examines patient data, displays critical information, and writes notes automatically. Their team has extensive backgrounds in design, business, engineering, and medicine. With partnerships with EHR firms Epic and Cerner, Regard’s software can presently identify roughly 50 prevalent medical conditions.
The Health-tech startup has raised $15.3 Million in a Series A funding round. The business claimed that the funding would be used towards expanding its staff, allowing it to assist more clients.
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Consultant Intern: Currently in her third year of B.Tech from Indian Institute of Technology(IIT), Goa. She is an ML enthusiast and has a keen interest in Data Science. She is a very good learner and tries to be well versed with the latest developments in Artificial Intelligence.