Reid Health chooses Abridge generative AI solution to increase access to care

Aug. 8, 2024 -- Reid Health has chosen Abridge as its enterprise-wide solution for clinical documentation. This generative AI technology reduces the burden and distraction of repetitive administrative tasks for providers, ultimately improving the patient experience.

Abridge has already been used by some providers across Reid for six months and will now be available to all clinicians.

Administrative burden is one of the leading causes of provider burnout, driving many to leave the profession. This crisis is even more severe in rural communities where workforce shortages pressure providers to see even more patients and work even longer hours.

"Abridge is expanding access to care. The freed-up time has increased efficiency for the entire care team to where we've dropped responses to patient calls down to seconds," said Muhammad Siddiqui, Vice President/Chief Information Officer for Reid Health. "You don't have to be at a massive, urban healthcare system to have access to AI technology that makes a meaningful difference in the lives of providers and their patients."

Key results:

• Increased access to care: Since deploying Abridge, the time it takes to respond to a patient call has been reduced by 87%.
• Significant time savings: Providers spent an average of 60% less time on after-hours documentation.
• More focus on patients: The effort needed to complete notes has decreased by 86%, with patients reporting their providers are more present during office visits.

"I've used Abridge in three different South Asian dialects, and they're all seamless and perfect. I can practice the way I'm used to practicing because the product adapts to me and my needs," said Annuradha Bhandari, MD, a family medicine physician at Reid. "Very rarely is a healthcare solution actually designed for the way physicians deliver care, while being truly patient-centric."

Abridge is already being used by dozens of other healthcare systems, including the University of Vermont Health Network, CHRISTUS Health, UChicago Medicine, Yale New Haven Health System, Emory Healthcare, and The University of Kansas Health System. Recently, Mayo Clinic, Epic, and Abridge partnered on a generative AI ambient documentation workflow for nurses.

"You don't have to be at a massive, urban healthcare system to have access to AI technology that makes a meaningful difference in the lives of providers and their patients." -- Muhammad Siddiqui, Reid Health Vice President/Chief Information Officer

"Clinicians today face tremendous pressure to see a growing number of patients with fewer resources," said Dr. Shiv Rao, CEO and Founder of Abridge. "We're working with innovative health systems like Reid Health and deploying solutions that can strengthen connections between clinicians and their patients."

About Abridge

Abridge was founded in 2018 to power deeper understanding in healthcare. The AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most -- their patients. With support for 14+ languages and 50+ specialties, Abridge is able to support a wide range of clinician and patient encounters.

Abridge's enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time with deep EMR integrations. Powered by Linked Evidence and their auditable AI, Abridge is the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, Abridge is setting the industry standards for the responsible deployment of AI across health systems.

In a survey by KLAS across multiple systems that have adopted the platform, Abridge scored a 95.3 rating (out of 100) with a grade of A+ on the likelihood to recommend and time to outcomes being reported as immediate. Abridge was also the only healthcare company on the 2024 Forbes AI 50 list, alongside companies like OpenAI, Anthropic, Databricks, and others.