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ThinkAndor, an AI-first platform, transforms emergency care at the Medical University of South Carolina

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Andor Health, an AI-first company reimagining virtual care, announces a groundbreaking initiative aimed at transforming the patient experience in MUSC Health emergency departments. The program uses artificial intelligence (AI)-powered ThinkAndor® to reduce wait times and enhance the quality of care for patients.

The demand for emergency care continues to rise, leading to overcrowding and excessive wait times. By leveraging ThinkAndor Virtual Rounding, ambient documentation and virtual triage capabilities, emergency departments can identify and address patients’ needs more efficiently, ultimately improving experiences and outcomes. ThinkAndor’s novel approach to emergency department (ED) triage significantly reduces the proportion of patients with “leaving without being seen” (LWBS) dispositions by 17%.

Health systems can optimize emergency care delivery by integrating AI-powered ThinkAndor Virtual Rounding and virtual triage capabilities into traditional ED workflows. Upon arrival, patients are promptly placed in dedicated consultation rooms where they receive initial assessments and treatment from MUSC clinicians who are remotely based and perform assessments virtually. Providers monitor patients’ progress through ThinkAndor’s Virtual Command Center and update patients as they await further evaluation.

Also Read: ReferralMD Announces Conversational AI Patient Registration & Intake

With significant reductions in wait times and LWBS rates, early results from MUSC’s program have been promising. For example, when fewer beds were available to move patients through MUSC’s ED, LWBS rates should have risen. However, after implementing ThinkAndor Virtual Rounding and virtual triage capabilities, MUSC’s LWBS rates remained flat because patients were triaged upon arrival, accelerating time to care and disposition. Additionally, due to a remarkable increase in the number of patients receiving medical screening examinations with ThinkAndor AI-first capabilities, MUSC experienced an improvement in productivity by approximately 500% (see Figure 1) when compared with traditional in-person triage.

“Through our strategic partnership with Andor Health, we are transforming emergency care. With ThinkAndor supporting the Emergency Department, we have experienced better outcomes, improved ED throughput and increased patient satisfaction. Even during peak demand when the hospital is at- or overcapacity, the virtual care we are delivering through ThinkAndor ensures optimal outcomes,” said Morsal Tahouni, M.D., assistant professor and medical director of Emergency Medicine, Department of Emergency Medicine, Medical University of South Carolina.

“By implementing ThinkAndor, we were able to maintain our LWBS rates under 4%, below the national average, even when capacity at each campus was greater than 100%,” explained Jeanhyong “Danny” Park, M.D., assistant professor and director of ED Clinical Informatics, Department of Emergency Medicine, Medical University of South Carolina.

“Innovation is at the heart of everything we do, and our AI-first approach to transforming emergency care is a testament to that commitment,” said Raj Toleti, chairman and CEO of Andor Health. “We recognize the need to automate key workflows of collaboration, documentation and observation within care delivery with an AI-first approach, and ThinkAndor achieves that goal.”

Source: PRNewsWire

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