Analysis of Errors in ECGs Data Captured by Patients Using At-Home Device Compared to Qualified Healthcare Professionals
Abstract
Cardiovascular Diseases (CVDs) are a leading cause of death worldwide, accounting for 17.3 million deaths per year. General at-home care has been proven to improve patient outcomes and decrease hospitalization rates. The purpose of this presentation is to present preliminary results from a research study comparing the electrocardiograms (ECG) readability from patients and their caregivers, who conducted at-home ECGs in the experimental group, versus data on ECG readability from patients living in assisted living, nursing home facilities, and routine office visits, where a qualified healthcare professional takes the ECG readings as the control group. This research study will also evaluate the accuracy level in ECG data during the first (Y1) and second year (Y2) of this study where an earlier device model (12-lead internal + two external leads) was used, compared with a newer device model (12-lead internal + three external leads) used in the third (Y3) and fourth year (Y4). With the growth of modern healthcare technology, it is now possible for patients to be more proactive in monitoring their CVD by conducting at-home ECGs with real-time feedback from their cardiologist to identify any abnormalities. At-home medical-grade ECGs can lead to early identification of heart arrythmias and decreased hospitalization frequencies, resulting in lower costs, decreased stress; all of which increase the overall quality of life for the patient and their care givers. Results from this study will support the need for effective coaching and training of patients and their caregivers in using at-home ECG.
Faculty Sponsors
Dr. Michelle Ramim
Project Type
Event
Location
Alvin Sherman Library
Start Date
4-6-2022 12:00 PM
End Date
4-7-2022 5:00 PM
Analysis of Errors in ECGs Data Captured by Patients Using At-Home Device Compared to Qualified Healthcare Professionals
Alvin Sherman Library
Cardiovascular Diseases (CVDs) are a leading cause of death worldwide, accounting for 17.3 million deaths per year. General at-home care has been proven to improve patient outcomes and decrease hospitalization rates. The purpose of this presentation is to present preliminary results from a research study comparing the electrocardiograms (ECG) readability from patients and their caregivers, who conducted at-home ECGs in the experimental group, versus data on ECG readability from patients living in assisted living, nursing home facilities, and routine office visits, where a qualified healthcare professional takes the ECG readings as the control group. This research study will also evaluate the accuracy level in ECG data during the first (Y1) and second year (Y2) of this study where an earlier device model (12-lead internal + two external leads) was used, compared with a newer device model (12-lead internal + three external leads) used in the third (Y3) and fourth year (Y4). With the growth of modern healthcare technology, it is now possible for patients to be more proactive in monitoring their CVD by conducting at-home ECGs with real-time feedback from their cardiologist to identify any abnormalities. At-home medical-grade ECGs can lead to early identification of heart arrythmias and decreased hospitalization frequencies, resulting in lower costs, decreased stress; all of which increase the overall quality of life for the patient and their care givers. Results from this study will support the need for effective coaching and training of patients and their caregivers in using at-home ECG.
