Clinical Decision Support System

DDxHub Diagnosis API benefits
Quick to set up, pre-diagnostic solutions yield benefits to medical staff and patients.
It's only a way to achieve a better diagnosis and as such these technologies work quite efficiently.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.

But first, let's examine the main parts and core functionality of diagnosis API that can be integrated into a hospital's daily workflow.
DDxHub API is not here to put real physicians out of work. How do healthcare organizations quickly implement such tools in their daily practice? The answer is clear and short - via APIs (application programming interfaces). The engine links patient information with pieces of content in the knowledge base and returns a list of likely conditions (preliminary diagnosis), care suggestions (triage), or both.The content is constantly reviewed and updated by medical professionals.
A diagnostic engine. It contains data on conditions, diseases, and treatment procedures. Their mission is to keep patients better informed about the possible roots of their conditions and provide clinicians with decision support. Often powered by AI, it analyzes patient data inputs (like demographics, symptoms, and lab tests) or automatically extracts clinical features from electronic health records. Typically, diagnosis API includes two major components.
A knowledge base. This is an overview of available diagnosis API along with their primary use cases.