Medical protocols and guidelines are means through which the health care quality is improved. Implementing them with the help of computers, their acceptance and the applicability have increased over time. A new method for implementing medical protocols and guidelines has been developed using artificial intelligence and a data manager. This method uses a connector between the expert system and the databases, helping them to communicate. The automatic generator knows how a protocol is represented, how the connector can be integrated with those representations and how can the data be obtained. Using this, it can resolve the problem of local adaptation and standardization of medical care.
With the increase in computing power and the development of numerous technological devices that facilitate remote work, the involvement of artificial intelligence in medicine has seen a significant increase to help the doctor make decisions and intervene in the medical process and telemedicine. In this paper, we gave an overview of the practical involvement of artificial intelligence through different support systems used in primary medicine or telemedicine and also identified the possibilities and opportunities for the development of new support systems for family medicine. Thus, we identified systems used for primary diagnosis, diagnosis of hypertension, early detection of heart abnormalities, detection of diabetes, support in the prescription process, helping clinicians in the daily workflow by providing certain answers to questions, treatment guidance, determining patient priority for treatment for SARS-CoV-2 infection or early detection of disease, support of artificial ventilation in medical emergency centers, remote support for treatments and medication.
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