Clinical Decision Support System

For your Demo Development you can use AuthenticationID = DEMO_AuthenticationID.
To take advantage of the diagnostic capabilities of Diagnosis API you must describe your patient cases in terms of observations available in the presented model; in other words, you need to know exact Test results and Symptoms to be passed to the /DDxItems endpoint.
For each medical concept category there are two REST-inspired read-only endpoints supporting GET requests:
one returns the list of all Lab Tests Procedures (https://diagnosisapi.azurewebsites.net/api/DDxItems/GetTests?AuthenticationID=DEMO_AuthenticationID),
the other returns the list of all possible Symptoms (https://diagnosisapi.azurewebsites.net/api/DDxItems/GetSymptoms?AuthenticationID=DEMO_AuthenticationID).
Each concept is represented by a JSON object with several attributes. Authentication
Diagnosis API uses a custom authentication mechanism. Each request must include non-standard HTTP header: AuthenticationID. We will provide you with your unique AuthenticationID after registration.
An example of a request could look like this (finally you will replace DEMO_AuthenticationID with your credentials):
'https://diagnosisapi.azurewebsites.net/api/DDxItems/?AuthenticationID=DEMO_AuthenticationID'
Base Health Terms
Diagnostic information recognized by the API engine is categorized as Lab Test Procedures and Symptoms. This parameter corresponds to your unique application ID. Some attributes are common to both concepts:
id - short and unique concept (test or symptom) id,
name - concept name (professional medical term),
description - detailed description.

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.