Leadership in Nursing: CASNET System

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The first generation of artificial intelligence (AI) systems addressing multiple health conditions is already presented in modern medicine. The CASNET system, for example, was developed at Rutgers University as a diagnostic and therapeutic program, while the recent development of the EXPERT system generalizes the techniques of CASNET to make them available for use in different domains (Szolovits, 2019). By 2030, the healthcare system might become predominantly digital with the further spread of AI to all sectors of the medical industry.

The first technology to be implemented would be AI diagnostic programs in the form of medical robots and mobile applications available in every household. Since computers are capable of keeping and accessing enormous amounts of data, AI systems would be able to analyze patients’ health history and predict possible risks and outcomes of various diseases. AI would also give lifestyle and diet recommendations to patients to prevent certain health conditions. The second technological advancement would be the application of AI monitors that would provide real-time remote patient monitoring.

The application of AI diagnostical programs and monitors would facilitate decision-making for healthcare providers by supplying them with objective and unbiased information on patients’ health and suggesting appropriate treatment options. AI systems would also be convenient for patients and families who would be able to interact with healthcare providers from the comfort of their homes through the AI’s user-friendly interface. Patients would submit their health reports to receive the doctor’s recommendations for further treatment or admission to a hospital.

AI diagnostic systems and monitors for at-home use would be able to provide healthcare systems with timely updates on the condition of their patients and to assign a medical specialist immediately to the patient’s location in case of emergency. Healthcare professionals would have the means for tracking the status of bedridden patients without having them transported to the local healthcare provider. Overall, AI programs and monitors would be an integral part of healthcare systems of the future, providing patients and providers with convenient and reliable medical devices.

Reference

Szolovits, P. (Ed.). (2019). Artificial intelligence in medicine. New York, NY: Routledge.

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