Clinical Automation through intelligent instrumentation involves the fields of Biometrics, Signal processing, Bio-telemetry, DBMS, Cloud computing and Instrumentation both at nano and large scale . The main objective of clinical automation is to facilitate the rural and remote communities to avail the advanced medical facilities and consultation in a kiosk and reduce the doctor-patient ratio. The implementation process involves vital parameter acquisition from the patient such as Blood pressure, Body temperature, Pulse rate, cardiac activity, neurological activity, muscular activity, anatomical and physiological parameters. These data are acquired using Integrated Diagnostic System(IDS) comprising of pressure sensors, thermistors, ultra-sound transducers Electrocardiograph, Electroencephalograph, Electromyograph, X-rays and auto-analyzers. These acquired parameters are then classified as data-forms and waveforms. The data-forms are digitized and the waveforms in time domain are converted to spectrum. The available data-forms are compared with the lookup tables pre-stored in the remote server"s database and the spectrum of the waveforms are correlated with standard waveforms. The server database is pre-fed with universal information about the symptoms, standards, and therapies from medical sources. According to the degree of correlation (measured using correlation coefficient) the combination of therapies is arrived. From this combination the most appropriate treatment is evolved . Thus an ideal error-free clinical automation system is arrived with user-friendly interface.
