Comment from Beyond Lucid Technologies, Inc. (www.BeyondLucid.com)

PLEASE SEE ATTACHED FILE, WHICH INCLUDES ANSWERS TO THE GOVERNMENT'S QUESTIONS, AND THREE PUBLISHED ARTICLES ON THE SUBJECT OF ARTIFICIAL INTELLIGENCE IN MOBILE MEDICINE (FIRE, EMS, PUBLIC SAFETY, CRITICAL CARE, AND COMMUNITY PARAMEDICINE).

What if Responders could know their needs even before they arrived on-scene? When medicine does its thing, the goal is to enable patients to live their lives—go to school, travel, see children and grandchildren grow up, survive crashes, and even put cancer and other once-terminal diseases into remission! We therefore must think about how Mobile Medical responders can access patients’ critical information outside the home because a patient with cancer might end up in a clinical trial that works, and end up living for another decade or more! He or she surely won’t be at home that entire time. What if a healthcare emergency were to happen on a roadway, or in a supermarket or a church, or at a family member’s home, where data about the patient’s needs and wishes are not at the ready but are equally needed to deliver informed, accurate, and empathic care? Reducing long-term injury and raising survivability means having the ability to act on information that is available at the patient’s side, in real-time, so decisions can be made with data sufficient to know how they might affect both patients and responders. For example, what might go wrong if a medic administers a treatment but without knowing that the patient is allergic to something within that treatment? What make the crew do differently “if only they knew”?

In the words of the former Prehospital Services Director from Centura Health, the largest hospital system across Colorado, the missing links are (a) heads-up awareness of a roadway user’s health context, and (b) the ability to share those insights in real-time. Artificial intelligence can help to close information chasms, providing real-time context that helps everyone but particularly the most vulnerable patients who deserve for their needs and wishes to be taken into account, and then shared with the next link in the care chain—like a receiving hospital—in real-time, at the location that is ultimately best suited to treat the patient’s needs (and that may not be the closest facility). Field-accessible A.I. that also accommodates federal interoperability standards (i.e., with health information exchanges and electronic health record systems at receiving emergency departments) will improve patient logistics by streamlining care delivery and unclogging bottlenecks that today result in adverse outcomes, negative press, and operational cash- and time- sinks—like extended “wall times” to hand off ambulance-based patients to clinicians at the hospital.

Comment Date:2024-07-01T04:00:00Z

Comment On Document ID:DOT-OST-2024-0049-0037

Open/Download Filing

Open regulations.gov Docket Folder

Comment from Trimble Inc

See attached file

Comment Date:2024-07-01T04:00:00Z

Comment On Document ID:DOT-OST-2024-0049-0036

Open regulations.gov Docket Folder

Comment from The Ohio State University

This is an amended response. Please see the attached file(s)

Comment Date:2024-07-01T04:00:00Z

Comment On Document ID:DOT-OST-2024-0049-0039

Open regulations.gov Docket Folder

Comment from TCG Inc.

TCG is pleased to submit our response to - Request for Information: Opportunities and Challenges of Artificial Intelligence in Transportation. Should the DOT have any questions related to the submission please feel free to contact Daniel Lichtenstein at the email address provided.

Comment Date:2024-07-01T04:00:00Z

Comment On Document ID:DOT-OST-2024-0049-0041

Open regulations.gov Docket Folder