1 / 1

Technologies used for Telehealth App Development

A telehealth applicationu2019s development is the same as any other on-demand app development. Nevertheless, depending on the intended audience and end users, the development method may need to be modified.

Larisa5
Download Presentation

Technologies used for Telehealth App Development

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Technologies used for Telehealth App Development 1. Cloud Computing: Cloud computing is a must-have for telehealth app development. It allows for the storage and retrieval of data on a secure server, facilitates communication between patients and providers, and helps improve system security and efficiency. 2. Video Conferencing Software: Video conferencing software is the primary technology used for telehealth. This technology enables real-time video and audio communication between patients and providers. 3. Electronic Health Records (EHRs): EHRs are used to store and share patient information securely between providers. This technology is critical for telehealth, as it allows providers to access patient records from anywhere. 4. Mobile Apps: Mobile applications are an essential part of the telehealth experience. They allow patients to access their information, schedule appointments, and communicate with providers from their own devices. 5. Wearable Technology: Wearable technology is becoming increasingly popular in the healthcare industry. Wearables can be used to monitor vital signs, track activity levels, and provide real-time feedback to patients. 6. Artificial Intelligence (AI): AI can be used to automate tasks and provide insights into patient data. This technology can be used to predict health risks, identify patterns in patient records, and provide more accurate diagnoses. 7. Voice Recognition: Voice recognition technology can be used to capture patient data and allow for more efficient communication between the patient and doctor. 8. Video Conferencing: Video conferencing technology allows for real-time remote communication between the patient and doctor. 9. Cloud Computing: Cloud computing provides a secure platform to store and transfer patient data, allowing for quick and efficient access to medical records and other data. 10. Wearable Technology: Wearable technology can be used to track patient data such as heart rate, blood pressure, and activity levels. This data can then be used to identify health risks and provide more accurate diagnoses.

More Related