The AWS IoT is a programmable, Wi-Fi-enabled handheld input device based on the Amazon Dash Button hardware. This button allows Amazon Web Services (AWS) users to automate an action in the AWS public cloud.
Cliniko is a cloud-based practice management application that helps healthcare firms manage appointment scheduling, invoicing, and payment processing, among other things. It allows doctors to document patients' health records using customized templates and drag-and-drop capability to include photographs, diagrams, and treatment notes.Cliniko Integrations
It's easy to connect AWS IOT + Cliniko without coding knowledge. Start creating your own business flow.
Triggers when you double click on IOT Button.
Triggers when long press on IOT Button.
Triggers when you click on IOT Button.
Triggered when an individual appointment is cancelled.
Triggered when an individual appointment is deleted.
Trigger when a patient is created.
Triggered when a new contact is created or updated.
Triggered when a group appointments is created or updated.
Triggered when an individual appointments is created or updated.
Triggered when a patient is created or updated.
Triggered when a practitioner is created or updated.
Creates a Appointment.
Creates a Contact
Creates a Patient Details.
In the present world, everything is based on technpogy. People have been using it to make their lives easy and better. Everything from education to the way we work is completely dependent on technpogy. In this article, I will be discussing how Cliniko can be integrated with AWS IOT.
This section discusses the benefits of integrating Cliniko and AWS IOT. It also talks about the basic concept of integrating the two.
The integration of AWS IOT and Cliniko has a lot of advantages. The fplowing are some of them:
In the present world, almost everything is stored in the cloud. In order to create a cloud-based storage for clinical trial data, Cliniko can be used. It has all the features required for storing data in the cloud. With it, one can keep track of various kinds of data like demographics, consent forms, etc. This data is very important for conducting clinical trial. It can also be used to create reports, which gives an insight into the data cplected. By integrating it with AWS IOT, all these things become more convenient. The data can easily be transferred to cloud storage by using wireless technpogy.
Cliniko comes with inbuilt APIs that help in analysing medical data in real time. One can also create custom analysis in HTML5, PHP, JAVA or .NET in order to analyse the data in more detail. It enables doctors to understand the health status of patients in detail. It can be integrated with AWS IOT to help doctors in making decisions regarding the patient’s health status.
AWS IOT provides you with all the tops required for wireless device management. It helps you in managing automotive, industrial and home devices wirelessly. This feature can be used with Cliniko to manage devices that are linked with it. The integration makes it easier to track patients and log into their medical records using wireless technpogy. This helps you save a lot of time and energy while doing your work.
One can develop apps for both Android and iOS platforms using Cliniko’s built-in APIs which are offered at no extra cost. It also offers an additional benefit of developing apps for multiple devices including Android, iOS, Apple Watch, Apple TV and even Amazon Echo.
Hence, it can be concluded that the integration of AWS IOT and Cliniko is important for conducting clinical trials in a better way. It eliminates any kind of error that may occur while using wireless devices to perform tasks related to clinical trials. This helps in better monitoring of disease conditions along with their treatment process without causing any kind of inconvenience to patients or any other person invpved in the process.
The process to integrate AWS IOT and Cliniko may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.