384 KB52 KB201520252024Akramov, AkmaljonImamalieva, DiyoraInamdjanova, ElnoraTurdialiev, Mukhammad Alištevilka:1letnik:17str. 131-151DOI:10.18690/mls.17.1.131-152.2024COBISSID_HOST:211852803ISSN:2463-7955URN:URN:NBN:SI:doc-FTVY5KW1enslUniversity of Maribor PressMedicine, law & societyCOVID-19data ownershipGDPRmedical dataprivacy lawLegal difficulties associated with the use of big data in healthcare| civil law and cyberlaw review|Current trends suggest a future in which big data can be used to predict individual health risks and outcomes with exceptional accuracy. By analyzing large datasets that include various health indicators, algorithms can predict the onset of disease, allowing for early intervention and personalized treatment plans. However, the legal and ethical implications of predictive health analytics, such as potential misuse of predictive information or unfair discrimination based on health risks, require careful consideration. In terms of global health surveillance, the COVID-19 pandemic has highlighted the potential of big data to track the spread of disease and inform public health responsesTrenutni trendi nakazujejo prihodnost, v kateri se bodo velepodatki z izjemno natančnostjo uporabljali za napovedovanje individualnih zdravstvenih tveganj in izidov. Z analizo obsežnih zbirk podatkov, ki vključujejo različne zdravstvene kazalnike, lahko algoritmi napovedujejo začetek bolezni, kar omogoča zgodnje posredovanje in personalizirane načrte zdravljenja. Vendar pa pravne in etične posledice prediktivne analitike zdravja, kot so možna zloraba prediktivnih informacij ali nepravična diskriminacija na podlagi zdravstvenih tveganj, zahtevajo previdno obravnavo. V smislu globalnega nadzora zdravja je pandemija COVID-19 poudarila potencial velepodatkov za sledenje širjenju bolezni in informiranje odzivov javnega zdravjaTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Mariboru, Pravna fakulteta