Regard is a tool that helps clinicians analyze patient data and make faster, more informed decisions. It extracts insights from unstructured clinical data to provide relevant information quickly. Regard suggests diagnoses and writes clinical notes, acting as an AI co-pilot integrated with the electronic medical record (EMR) system. It optimizes clinical practice, streamlines administrative tasks, and supports high-quality patient care.
Regard can automate some of the administrative tasks related to EMRs. For example, it can write clinical notes based on voice input or patient data. It can also show relevant information from the EMR in a simple interface. This way, HCPs can avoid searching through multiple screens and focus on their patients.
Regard can also assist in the diagnostic process by using generative AI to create possible diagnoses based on the patient data. Generative AI can produce new and novel outputs that are not based on existing data. For example, Regard can generate a list of differential diagnoses that may not be obvious or common, but are still plausible and consistent with the patient data. This can help HCPs explore different possibilities, confirm or rule out diagnoses, and optimize treatment plans.
Here are some examples of how Regard can help in different scenarios:
Regard is designed to support HCPs in their clinical practice, not to replace them. It does not provide medical advice or make decisions for them. HCPs are still responsible for verifying Regard’s outputs and using their own clinical judgment and expertise. Regard is meant to be an intelligent co-pilot that helps HCPs use EMRs more effectively and efficiently.
During a pilot program, it was determined that Regard saves physicians 20% of their documentation time. Physicians using Regard also captured diagnostic specificity more appropriately. For example, they saw a 3.2% increase in specified congestive heart failure.
"Torrance Memorial Medical Center reduces physician burnout, increases annual revenue by $2 million with the help of Regard". Case Study. September 2022.