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C18 A Heart Rate Algorithm to Predict High Risk Children Presenting to the Pediatric Emergency...

James O’Neill
Assistant Professor of Emergency Medicine at Wake Forest Baptist Health
+ 2 speakers
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Machine Learning for Healthcare
August 8, 2020, Online, Los Angeles, CA, USA
Machine Learning for Healthcare
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C18 A Heart Rate Algorithm to Predict High Risk Children Presenting to the Pediatric Emergency...
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About speakers

James O’Neill
Assistant Professor of Emergency Medicine at Wake Forest Baptist Health
Matthew Cline
Chief Medical Officer at Davie Medical Center, WFBH
Rebekah Jewell
Student at Wake Forest Baptist Health

Dr. James C O'Neill, MD specializes in emergency medicine in Winston-Salem, NC and has over 19 years of experience in the field of medicine. He graduated from Bowman Gray School Of Medicine Of Wake Forest University with his medical degree in 2002. He is affiliated with numerous hospitals in North Carolina and more, including North Carolina Baptist Hospital. Dr. James C O'Neill is licensed to practice by the state board in Florida (ME92949). Dr. James C O'Neill also practices at Medical Center Boulevard, Winston-Salem, NC. He is accepting new patients at his medical office, and available for appointments, preventative care, medical care as well as ongoing patient care.

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Dr. David Cline, MD is a board certified emergency medicine physician in Winston Salem, North Carolina. He is currently licensed to practice medicine in North Carolina and Illinois. He is affiliated with Wake Forest Baptist Medical Center and Wake Forest Baptist Health-Lexington Medical Center.

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Rebekah Jewell is who practices at Wake Forest University Baptist Medical Center located at Medical Center Blvd in Winston-Salem, NC 27157 (Forsyth County).

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James O'Neill, non-emergency physician at Wake Forest, Baptist Health and I'm presenting a hurry algorithm to predict. Iris children's pediatric, emergency department. Notice that children under the age of urinary, tract infections, vital signs of a tachycardia things, out of proportion, with will be expected. We wanted to see if this out of proportion. Tachycardia was potentially risk factor for having a urinary tract infection because they lead to sepsis

and dangerous infections is also difficult to determine whether the patient has a urinary tract infection or not. Children can do the same symptoms as an adult and it also requires a catheter I sample. Most of the time, I was uncomfortable for the child. The design of the study translational science data, warehouse were able to get Patience for the last eight years are presented to the emergency department and do we were able to get 34,000 patients and we selected these by patients, who

were under the age of 3, presenting to the emergency department with the temperature of 100.4, or above information that we collected, we got the heart rate, their age temperature reside, gnosticos to figure out if they have a urinary tract infection, and we also were able to determine whether they were or not 20%. The algorithm that we determined is as follows based on the temperature in Fahrenheit in Asia month. This is a visualization of the data between the planes is the group. There's are within one standard

deviation of the algorithms expected value above, the expected value. Dolores group between the planes had to admission rate of 10.6 in each year. Rate of 1.74%, the Irish group above the red plane and admission rate of double that of 21.8% of UTI, UTI rate of 3.03% significantly higher levels of admission and UTI

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James O’Neill
Matthew Cline
Rebekah Jewell