%0 Journal Article %1 mohammedimpact %A Mohammed, Mehmood Ali %D 2022 %E Inukollu, Venkata N %J International Journal of Software Engineering & Applications (IJSEA) %K Data Quantitative %N 6 %P 23-29 %R 10.5121/ijsea.2022.13602 %T Impact of Artificial Intelligence on the Automation of Digital Health System %U https://aircconline.com/ijsea/V13N6/13622ijsea02.pdf %V 13 %X Automating digital systems in healthcare plays a significant role in transforming the quality-of-care services delivered to patients across the board. This role is anticipated to be accomplished by the development and implementation of artificial intelligence in healthcare which has the potential to impact the provision of healthcare services. This paper sought to investigate the impact of adopting and implementing artificial intelligence on the automation of digital health systems within the different levels of healthcare. The general objective of the research study was to investigate the impact of artificial intelligence in the automation of digital health systems.

@article{mohammedimpact, abstract = {Automating digital systems in healthcare plays a significant role in transforming the quality-of-care services delivered to patients across the board. This role is anticipated to be accomplished by the development and implementation of artificial intelligence in healthcare which has the potential to impact the provision of healthcare services. This paper sought to investigate the impact of adopting and implementing artificial intelligence on the automation of digital health systems within the different levels of healthcare. The general objective of the research study was to investigate the impact of artificial intelligence in the automation of digital health systems. }, added-at = {2023-05-18T13:19:12.000+0200}, author = {Mohammed, Mehmood Ali}, biburl = {https://www.bibsonomy.org/bibtex/2eac47a99ff6e74f0046dba27c1d95dbf/janurichie_123}, doi = {10.5121/ijsea.2022.13602}, editor = {Inukollu, Venkata N}, interhash = {b2b76e068c0c04f309b35adb2940edd3}, intrahash = {eac47a99ff6e74f0046dba27c1d95dbf}, issn = {0975-9018}, journal = {International Journal of Software Engineering & Applications (IJSEA)}, keywords = {Data Quantitative}, language = {English}, month = nov, number = 6, pages = {23-29}, timestamp = {2023-05-18T13:19:12.000+0200}, title = {Impact of Artificial Intelligence on the Automation of Digital Health System}, url = {https://aircconline.com/ijsea/V13N6/13622ijsea02.pdf}, volume = 13, year = 2022 }