
Agendealth Revolutionizing Emergency Department Triage System
Agendealth is set to transform emergency departments with its innovative triage platform, aiming to save time, reduce bias, and enhance resource allocation. Led by Arun Ponshunmugam, MD MBA candidate at Dartmouth, Agendealth seeks funding to develop its virtual platform. By addressing racial bias and inaccuracies in the current triage system, Agendealth's method promises to be cheaper, faster, and more accurate, offering a smarter patient intake process for various medical visits.
Download Presentation

Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
AGENDEALTH IS POISED TO CHANGE EMERGENCY DEPARTMENTS (ED) The current emergency medicine triage system needs an update because it suffers from racial bias, subjectivity and inaccuracies increasing morbidity and mortality The Agendealth triage platform: 1) Saves physicians and patients time 2) Reduces bias (racial, linguistic etc.) 3) Betters ED resource allocation Agendealth is seeking +/-$500k to develop its virtual platform Revenue derived from hospitals and urgent care clinics Led by Arun Ponshunmugam, MD MBA Candidate at Dartmouth 1
TRIAGE IN THE ED IS RIPE FOR INNOVATION NOW Just 41% accuracy for ED triage nurses in differentiating severity of patient illness = African Americans, non-native English speakers and other vulnerable populations experience bias in the current triage system 130 million visits annually to the ED Unprecedented levels of crowding and delays in care [linked to] increased morbidity, mortality * Increased research in machine learning for triage and awareness of the biases and inaccuracies in the current system. Increasing use of the ED across the US Why Now 2 *Annals of Emergency Medicine, premier academic journal in Emergency Medicine
AGENDEALTHS METHOD IS CHEAPER, FASTER AND MORE ACCURATE Traditional Way Physician sees patient and asks same questions again Patient waits to meet with nurse Patient meets with nurse to answer questions and have vital signs measured Patient presents to the ED Physician types notes documenting answers to questions Subjective estimate of severity made Agendealth Way Patient presents to the ED Patient answers proprietary Agendealth questionnaire in their native language Physicians see patient answers and triage scores and appropriately see most emergent patients first Patients answers and vital signs used to risk stratify them and provide expected wait times Patient answers automatically entered to physician note for the history of present illness Hospitals, EDs and Urgent Care Centers Revenue stream Further opportunities 3 Smart patient intake process for well-child visits in pediatrics, screening in psychiatry, prenatal visits in Obstetrics etc.
AGENDEALTH IS BORN OUT OF MY FRUSTRATING EXPERIENCES IN HEALTHCARE Arun Ponshunmugam, CEO and Founder Arun Ponshunmugam, CEO and Founder o MD/MBA Candidate at the Tuck School of Business and Geisel School of Medicine at Dartmouth o 3+ years of clinical experience, including emergency medicine o Born out of frustration with the patient experience and physician burnout o Leading a team including consultant, software engineer, investment banker and nurse in product development o Tuck Pitch Competition 2ndPlace 2021 4
AGENDEALTH ASKS FOR +/-$500K FOR PRODUCT DEVELOPMENT AND SALES 5