Instead, they are aware of simple terms for these specializations like Cancer specialist or Eye doctor. This is quite helpful when users’ do not have any idea about the terms used for particular specialization like Oncologist, Ophthalmologist. Artificial Intelligence & Machine LearningĪrtificial Intelligence and Machine learning technologies are used in doctor appointment booking apps like ZocDoc to make them more effective. Machine learning, Big Data, and Heightened Security are supported by Google’s IAM system. Cloud computing helps you manage high volumes of data seamlessly.Ĭloud computing along with Google Healthcare Cloud API can help you get advanced grade benefits for the doctor appointment app. Once your medical apps start expanding, you would need to manage high chunks of data in almost petabytes. Well, the 3 most important technologies can make your doctor appointment app efficient to serve the future healthcare needs and they are Cloud Computing Ways to make your doctor Appointment App ready to meet future healthcare needs The bookings can be canceled or rescheduled by the patients to match their convenient timings and the availability of the doctor. The patients receive notifications so that they do not miss out on their appointments. The rate & review system allows patients to rate & review the doctors based on their experience with the doctor. This feature allows patients to search the doctors and clinics nearby with an in-built map. Once appointment is booked, patients can pay the visiting charges in advance. The booking and confirmation of the appointment take place based on the available slots of respective doctors. Here the doctor’s profile is listed within the app and the user’s profile is built based on the details they provide. It becomes easy to search clinics/doctors by different parameters like waiting for time, specialization, name, etc Stakeholder Profile
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