Patient privacy is top of mind for healthcare, and ensuring your communications are secure and private is top of mind for RingCentral. With third party auditing and certification, RingCentral provides solutions that are HIPAA and ISO compliant, as well as solutions that meet HL7 standards to give you the confidence with your medical communications.
Coordinating information within a clinic is a valuable means of keeping things efficient. This can be done with the RingCentral platform as it can be integrated with other systems through API calls. One such case would be to have a system react to incoming calls in a way that offers the caller’s information to the call receiver while the call is ringing.
RingCentral’s SMS and Fax APIs are being put to great use. When new information on a patient is created that data needs to be shared among many disparate systems. This has been done in the past through FAX, email, carriers, and even postal “snail” mail. For example, specialist doctor examinations are automatically sent to the GP / family doctor for their records and review.
Take advantage of SMS to send scheduling reminders, confirmations, and even let patients reschedule from their phone. Decrease missed appointments with a simple “confirm your appointment for today” messages. Enhance the level of care you provide and help ensure patients take their medication as advised with daily medication reminders.
Also to be considered in the current climate of physical distancing is the ability for doctors to see their patients in video call situations. This can be done with the RingCentral Video platform, and with the help of the API it can record the sessions and attach them to the patient’s overall health history. While the video session is happening the API can interface with transcription tools and help to identify some patterns in the text of the conversation; with proper AI training medical issues can even be identified and possible diagnoses might be proffered.
Chatbots can be used to help inform patients regarding their current symptoms and what type of care they should receive. They can also provide helpful updates regarding existing diagnosis, medication questions including interactions, and even assist in appointment rescheduling.
Hospitals and long term care homes are starting to use machine learning and API triggers to analyze incident reports to identify emerging patterns. Every year massive amounts of data are collected on incidents that happen within the medical system. With an overwhelming amount of medical information Machine Learning is being tasked to identify patterns that may be pointing to correctable issues.
