There are 28 million people in Spain who regularly use social networks (RRSS). When it comes to gynecology patients, 40% of them seek information about their health before meeting a specialist, and a similar proportion after a consultation to verify the information, according to Jackie Calleja, medical director of BMM Clinic. will do so. (Madrid) in the WHC Exeltis Day.
Calleja has clarified that, no matter how reticent part of the professional community is to be present in the network, “the truth is that all of us who use email or WhatsApp are already in them”, and digital content with Identical care has been advocated closely, but always with a desire for scientific rigor and the dissemination of “not to affect”. “There is a lot of quality in social networks, there are many affiliates who provide excellent content, the main thing is that the number of followers is not as important as the quality,” he explained.
Josep Estadella, coordinator of gynecological outpatient procedures at the Hospital de Santa Creu i Sant Pau, recommends that when incorporating new technologies such as artificial intelligence, always be guided by and defined by needs as a starting point what technical devices can respond. Avoid involving innovations in them, in order not to “lose step at the dizzying pace of the changes taking place.” Thus far, they have presented data on triage in emergency services, “a critical point in many diseases”, which show that, in 75% of cases, artificial intelligence tools are able to place a definitive diagnosis at discharge among the three first prediagnostics. Triage time. “Among the most frequent diagnostic groups, sensitivity greater than 92% and specificity greater than 91% have been documented,” he said.
Henrique Martins, associate professor of health management at Beira Interior University (Portugal), has pointed out that all information circulating in networks is potential information about our health with predictive and clinical utility, and he is convinced that suggests that it is worth attempting to harmonize data for the benefit of clinical research, especially with respect to rare diseases for which it is not possible to recruit large groups of patients.
As has already been done in the field of psychiatry, Martins believes that the metaverse could play a fundamental role in training experts of the future, combining technology with physical representation and emotional components in simulations.
Juan Luis Alcazar, co-director of the Department of Obstetrics and Gynecology at the Clínica Universitaria de Navarra (CUN), recalled that improvements in technology are constantly offering better quality in the images obtained by ultrasound. Although the approach may seem “unusual”, he has talked about the utility of this tool in a variety of fields, including oncology. Clinical guidelines already favor ultrasound for the evaluation of masses found in the ovaries.
Going a step further, his team in the field at the Clínica Universitaria de Navarra is studying the possibilities of this test to stratify ovarian cancer: define at what stage it is. “There are two studies that support this tool, which is not inferior to magnetic resonance or CT in diagnostic power,” he indicated.