Abstract
We propose extensions to the Technology Acceptance Model for the adoption of integrated electronic health records that are shared by multiple health care providers. In particular, we propose a conceptual model in which we incorporate two new factors, trust and access to shared information, into the Technology Acceptance Model. Preliminary results confirm the statistically significant and positive impact of perceived usefulness on behavioral intent to use integrated electronic health records and a significant and positive impact of perceived ease of use on perceived usefulness. We also find a statistically significant effect of shared information on behavioral intent to use integrated health records. We expect that further analysis of additional data we are collecting will offer improved insights into the effects of these factors on intention to use integrated electronic health records.
Recommended Citation
Terrizzi, Sabrina; Sherer, Susan; Meyerhoefer, Chad; Scheinberg, Michael; and Levick, Donald, "Extending the Technology Acceptance Model in Healthcare: Identifying the Role of Trust and Shared Information" (2012). AMCIS 2012 Proceedings. 19.
https://aisel.aisnet.org/amcis2012/proceedings/ISHealthcare/19
Extending the Technology Acceptance Model in Healthcare: Identifying the Role of Trust and Shared Information
We propose extensions to the Technology Acceptance Model for the adoption of integrated electronic health records that are shared by multiple health care providers. In particular, we propose a conceptual model in which we incorporate two new factors, trust and access to shared information, into the Technology Acceptance Model. Preliminary results confirm the statistically significant and positive impact of perceived usefulness on behavioral intent to use integrated electronic health records and a significant and positive impact of perceived ease of use on perceived usefulness. We also find a statistically significant effect of shared information on behavioral intent to use integrated health records. We expect that further analysis of additional data we are collecting will offer improved insights into the effects of these factors on intention to use integrated electronic health records.