Patient Experience and Virtual Reality: The Use of an MRI Exam Simulator
Published August 8, 2024
Magnetic resonance (MR) imaging is a safe diagnostic method of high accuracy detection and characterization of various pathological conditions. However, due to the very closed aspect of the apparatus, the high sound amplitude emitted and the need to remain motionless for a significant time, some patients experience discomfort and high levels of anxiety, compromising time and image quality management that can impair the clinical outcome of the patient or even give up the performance of this procedure.
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Innovation & Technology
Virtual Nurse Discharge: Improving Patient and Nurse Experience
Published November 12, 2025
This case study reviews the virtual discharge nurse (VDN) process and its impact on patient experience and nursing workflow as an exemplar of an effective telehealth innovation at a community hospital 23-bed Short Stay Unit (SSU). At the SSU, the daily turnover rate of more than 50% of the unit census challenged the nurses’ ability
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Innovation & Technology
Laboratory Literacy: Surveying Lab Result Interpretations of a Local Patient Population
Published November 13, 2024
A patient’s independent interpretation of their medical laboratory data has become an unspoken prerequisite in the current age of medicine. In the outpatient setting, it is anecdotally commonplace for patients to receive their lab results before their physicians, resulting in patients often relying on self-interpretations of their results. This study analyzed the degree to which
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Innovation & Technology
Experiences of using Electronic Medical Records among Patients from Ethnic Minority Backgrounds: A Rapid Review
Published November 13, 2024
This study explores the experiences of individuals from ethnic minority backgrounds using electronic medical records (EMRs) and identifies strategies to improve the inclusivity and usability of EMRs, aiming to reduce the digital divide in their access and use. A rapid review of the literature was conducted using Medline, Embase, and CINAHL databases to identify relevant
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