IS in Healthcare
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Paper Number
2643
Paper Type
short
Description
Medical errors are the third leading cause of death in the United States, claiming more lives than car accidents, HIV, and breast cancer combined, and cost approximately $20 billion every year. About half of these errors are electronic health record (EHR)-related and can thus be prevented. Patient portals as an online platform connecting patients and healthcare providers can play a pivotal role in mobilizing patients as their own best advocates to reduce EHR errors. Thus, we aim to investigate the effectiveness of patient portals and the optimal ways to incentivize patient engagement in error discovery and reporting. We start by distributing two surveys, one to physicians and healthcare administrators, and another to patients in order to understand the best possible incentives for maximizing patient engagement. These insights are then used to adjust our theoretical model derived from prior literature, before being tested in a field experiment via an econometric approach.
Recommended Citation
Rahimi, Mohammad; Ayabakan, Sezgin; and Mahoney, Kevin B., "Patient Portals Facilitating EHR Error Discovery and Reporting" (2021). ICIS 2021 Proceedings. 23.
https://aisel.aisnet.org/icis2021/is_health/is_health/23
Patient Portals Facilitating EHR Error Discovery and Reporting
Medical errors are the third leading cause of death in the United States, claiming more lives than car accidents, HIV, and breast cancer combined, and cost approximately $20 billion every year. About half of these errors are electronic health record (EHR)-related and can thus be prevented. Patient portals as an online platform connecting patients and healthcare providers can play a pivotal role in mobilizing patients as their own best advocates to reduce EHR errors. Thus, we aim to investigate the effectiveness of patient portals and the optimal ways to incentivize patient engagement in error discovery and reporting. We start by distributing two surveys, one to physicians and healthcare administrators, and another to patients in order to understand the best possible incentives for maximizing patient engagement. These insights are then used to adjust our theoretical model derived from prior literature, before being tested in a field experiment via an econometric approach.
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