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Health Information Exchange clinical trials

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NCT ID: NCT02989090 Completed - Clinical trials for Patient Participation

Electronic Patient Notification of Remote ICD Data: Impact of Patient Engagement on Outcomes in the Merlin.Netâ„¢

ePHR-ICD-SJM
Start date: October 2014
Phase: N/A
Study type: Interventional

Remote monitoring of implantable cardioverter-defibrillators (ICDs) for patients has led to efficient, safe, and satisfying analysis of their device and cardiac status; resulting in an overall improvement in the quality of care for such patients. Despite the efficacy of remote monitoring of ICDs and the satisfaction of patients and providers with the process, there is a desire from patients to have access and view ability of the data their ICD is transmitting. However, methods for making ICD device data directly available to the patients are not currently in place. This study aims to elicit the impact of standardized remote monitoring ICD data to patients through an electronic personal health record (ePHR) on patient engagement, healthcare utilization, and patient-provider communication. For this study, patients with an ICD manufactured by St. Jude Medical and that are undergoing remote monitoring through the remote management system, Merlin.netâ„¢, will receive a standardized format of their electronic remote monitoring ICD data in MyChart, the ePHR used at Parkview Health. The standard format for the electronic remote monitoring ICD data, as it is delivered to the patient, will be termed the ICD Patient Notification Summary. Additionally, provider attitudes and perceptions regarding the value of the Patient Notification Summary, its impact on clinic workflow, and patient-provider communication will be collected.

NCT ID: NCT01147328 Completed - Clinical trials for Health Care Utilization

Assessing the Impact of Health Information Exchange (HIE) on Healthcare Utilization

VHR
Start date: June 2011
Phase:
Study type: Observational

The purpose of this study is to assess usage of the virtual health record (VHR), and determine the effects of this technology on healthcare utilization.