Patterns

Drugs are prescribed after diagnosis and based on inidcators from lab reports. A pattern is formed in drug prescriptions for ailments on patients by population. Such patterns pave way for prescription automation, that is efficient and time saving. The CDSS system provides drug prescription help to doctors based on patients lab result indicators and vitals information.

Doctors can consent the drugs, change or remove these recommendations. Add in-addition or newly, drugs that are suited for the current condition of the patient. Such CDSS saves time for doctors who can consult more patient effectively.Adverse Drug Reaction (ADR) Detection is analyzing patterns in patient data, such as symptoms, lab results, and medication history, healthcare providers can identify potential adverse drug reactions or interactions. This information can help prevent or minimize harm to patients and improve medication safety.

Intelligence

Key insights about ailments can be obtained by analyzing data that is saved over a period of time. Intelligence can be applied over such data to extract patterns and analyze the effectiveness of the drugs prescribed. By applying technologies like machine learning and artificial intelligence, we can deduce patterns and take the insight in changing the drug models for effective care to patients. Currently, for diabetic care, 20 years of patient validated data is used to extract insights.

Medical Imaging in AI algorithms can analyze medical images such as X-rays, MRIs, and CT scans to assist in diagnosing diseases and conditions. Deep learning algorithms have shown promise in detecting abnormalities, assisting radiologists, and improving accuracy in image interpretation.

Integrated

Integrating both patterns and data based intelligence makes the system robust. Such system when used by doctors, increase their efficiency and for patients, it improves the care with a different solution approach. This approach is preventive and proactive, and a superior system helping patients for a long, healthy and happy life.

Technological integration involves connecting and integrating various health information systems, electronic health records (EHRs), medical devices, and other digital tools to enable interoperability and data exchange. This allows for seamless sharing of patient information, test results, and treatment plans among healthcare providers, improving efficiency and patient safety.