Would Your Business/Practice Benefit from Knowing a Client's/Patient COVID Risk prior to the appointment?
Demo the app below.
1. Reduce the workload of staff
2. Reduced staff anxiety regarding exposure
*Available in English, Spanish, Chinese Mandarin
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During the coronavirus pandemic, essential services such physician offices remain open. However, even with reduced traffic, patient’s need pre-screening to assess their potential to infect others.
Currently, doctors spend hours calling patients ahead of time and screening the patients over the phone. This is an inefficient process that takes time away from quality patient care. Our web app, the COVID-19 Risk Profiler, solves this problem. This app is a screening tool that can be used by offices to screen patients prior to them entering the office.
The purpose of the COVID-19 Risk profiler is to use the information received to triage patients and coordinate plans for high risk patients before they arrive, limiting exposure to staff and other patients.
The COVID-19 Risk Profiler is very sensitive in that it will detect patients that have any risk factors. The questions in this app were adapted from the CDC Guidelines in collaboration with medical professionals. The responses from patients will be analyzed and converted to four possible recommendations:
Consider ER referral ONLY if the patient marks difficulty of breathing.
Normal if the patient has no known risk factors.
Monitor-Consider giving the patient a mask
Isolate-Consider testing patient before treating.
These recommendations will only be seen by the medical staff. The patient will receive only a summary of their responses without any medical recommendations.
The app is a supplement to clinical judgement. Its algorithm will detect patients that have any risk factors including GI symptoms along with a fever or contact with the healthcare industry. Same day screening may still be necessary to capture health changes that occur if patients complete the form too far in advance of their scheduled appointment.
Method 1: Receive Survey Link in Email
If you would like to implement this app in your practice, create a new email or designate an existing email to receive the COVID-19 patient survey results (e.g. COVID19survey@company.com)
Enter the email designated for patient survey results below to receive the link
The link will go to the email that you enter (the designated email for survey results)
For implementing this app for your practice, follow the steps listed below:
Step 1: Create a new email or designate an existing email to receive the COVID-19 patient survey results (e.g. COVID19survey@company.com)
Step 2: Use the email address created/designated in Step 1 to replace this email highlighted below (please only change the email in the link):
Step 3: The person making the patient appointment needs to send an email to the patient with the link created in Step 2. For practices that use EMR to send automatic email reminders, this link can be included in the email template.
Step 4: When the patient completes the survey, the survey results will be sent to the email that was created/designated for results.
Step 5: The survey results can be interpreted by the physicians and have the patient triaged accordingly.
Step 6 (Optional): To increase efficiency, the practice can also add the survey link to their
website, so patients can be directed to the link on the website. Alternatively, if the website update is not easy/possible, the practice can print a page with the link and instructions.
Who We Are
Arun Moorthy has also developed healthcare apps focusing on diabetic retinopathy. He built an app, VisionAI, that takes a retinal picture and analyzes if the person has retinopathy. He is also the developer of Virtual Navigator, a wearable device for the visually impaired. He has also completed the bronze level for the Computer Science Olympiad. Arun is currently branching out into quantum computing and more to come on his next development.
Dr. Aashish Dadarwala is attending faculty at the Mount Sinai Beth Israel Health Center and former HIV Specialist at the Ryan Center in New York City. He has practiced infectious disease medicine as a teaching attending for volunteer medical groups in Peru, Haiti, Guatemala and India. His love for medicine is combined with his love for teaching. He finished his training in Long Beach Medical Center in New York where he later returned as a Director of Medical Education for several years. He is a proud graduate of the Kansas City University of Biomedical Sciences.
Please contact firstname.lastname@example.org if you have questions, feedback, or comments
Sujay is a high school senior at Stanford Online High School, where his main interests lie in the intersection of computer science and astrophysics. Outside of class, he has published roughly a dozen research papers/posters in global astronomy conferences on studying extrasolar planets and computational tools to identify them. In order to conduct these physics-based studies, he has taken relevant physics coursework ranging from thermodynamics and cosmology to relativity and quantum mechanics. His current work delves into automating extrasolar planet detection to provide simpler analysis for amateur astronomers and citizen scientists worldwide.