Published: 21 Apr 2024

All requests to the API must be made via HTTPS.
Azure Storage uses TLS 1.2 on public HTTPS endpoints, but TLS 1.0 and TLS 1.1 are still supported for backward compatibility.
Also, that provides cross-origin resource sharing (CORS) to allow client-side code of web applications to interact with the Diagnosis API, but please make sure you never expose your API credentials in any client-side code of public websites.
HTTP Methods
The Diagnosis API can be easily integrated with any existing HTTP client by using any popular programming languages and frameworks. Requests, like responses, should be encoded in UTF-8.However, you need to use only two last of them.
Use GET requests to retrieve data that do not require any data to be sent in the requests body.
Use POST requests for actions that require data to be sent in the request's body (e.g. Moreover, the POST actions expect request bodies formatted as JSON objects. /api/DDxItems).
JSON is the only data format supported by Diagnosis API. The API content is read-only and all of the API responses always return the same output for the same input, no matter how many times you call them. The Diagnosis API is available at https://diagnosisapi.azurewebsites.net. As any RESTfull service, the API supports four HTTP methods: DELETE, PUT, GET, and POST. Error messages are also in JSON. All of our endpoints return JSON objects or lists. Azure Storage currently supports three versions of the TLS protocol: 1.0, 1.1, and 1.2. The API hosted on Azure storage.

DDxHub Diagnosis API benefits
Quick to set up, pre-diagnostic solutions yield benefits to medical staff and patients. Here is how a symptom checker can improve patient care and hospital workflow when implemented into daily practice.
It helps physicians solve diagnostic dilemmas and encourages them to consider other possibilities.
It reduces the likelihood of delayed or wrong diagnoses.
It speeds up correct diagnosis which is a fundamental driver for clinical and financial performance.
It makes patients more informed about their conditions and educates them.
It facilitates the patient journey within the healthcare ecosystem.
It reduces the number of unnecessary hospital visits.
It optimizes the workload of emergency departments.
By no means, can symptom checkers be depended on for final decision making. It's only a way to achieve a better diagnosis and as such these technologies work quite efficiently.