Health Technology Explainer Video

0:00
Elearning
7
0

Description

Voiced an explainer video for a health technology product. Purpose was to educate and motivate clinicians about a new product they would be using in their clinic.

Vocal Characteristics

Language

English

Voice Age

Young Adult (18-35)

Accents

North American (General)

Transcript

Note: Transcripts are generated using speech recognition software and may contain errors.
we created these tablets for two reasons. The first is to augment your ability to provide patients with engaging learning materials to help them understand treatment and navigate life with a chronic condition. Patients who adhere to treatment have better health outcomes than those who do not. Yet patients often forget or misunderstand the information they need to know to adhere to treatment as nurses and healthcare providers were often extremely busy that can make engaging and educating patients. Challenging these tablets can make your job of educating patients easier. That leads me to the second reason we develop these tablets time. As clinicians, we have many demands on our time and attention. Patients, however, are often sitting in in fusion centers for hours, with few options available to fill the time. Besides, the learning resource is available on these tablets. We have entertainment options, including videos, games, video conferencing and the web. So let's dive in to the tablets interface. All these tablets are touch screens. But for the purposes of this demonstration, just imagine my cursor is my finger here. We're looking at the home screen. These screens will be customized to your specific locations needs, So yours might look slightly different, however, we often have links to the patients portal and other support services offered by your practice. At the top of the screen, you'll see links to different modules. The first is the learned module. At the first touch for content, the patient will be prompted to answer a brief survey. We call this survey the toll gate. The questions may change a bit over time, but for now we ask what type of cancer there being treated for, what kind of medication they're taking and where they are in their treatment. Siri's in the future. These questions will lead to targeted messages for the patient and analytics related to treatment adherence.