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 pilot data results comparing the electrocardiogram (ECG) readability from patients and their caregivers, who conducted at-home ECGs in the experimental group, versus data on ECG readability from patients at routine office visits, where a qualified healthcare professional takes the ECG readings as the control group. The pilot data involves a sample of 20 patients’ 105 ECG records analyzed using SPSS with the goal of comparing the two groups and comparing patients with high versus low complexity in diagnosis. This research study will also evaluate the accuracy level in ECG data across each patient from the initial point of ECG measurement to the final point, identifying and evaluating common patient errors using the at-home ECGs, and from this information, propose targeted solutions to improve the user-friendliness of this device. 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, and increased quality of life. Results from this study express 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
4-5-2023 12:00 PM
End Date
4-6-2023 4:00 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 pilot data results comparing the electrocardiogram (ECG) readability from patients and their caregivers, who conducted at-home ECGs in the experimental group, versus data on ECG readability from patients at routine office visits, where a qualified healthcare professional takes the ECG readings as the control group. The pilot data involves a sample of 20 patients’ 105 ECG records analyzed using SPSS with the goal of comparing the two groups and comparing patients with high versus low complexity in diagnosis. This research study will also evaluate the accuracy level in ECG data across each patient from the initial point of ECG measurement to the final point, identifying and evaluating common patient errors using the at-home ECGs, and from this information, propose targeted solutions to improve the user-friendliness of this device. 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, and increased quality of life. Results from this study express the need for effective coaching and training of patients and their caregivers in using at-home ECG.
