PLEASE RESPOND TO THE FOLLOWING CLASSMATE’S POST IN 50 WORDS OR MORE:
In your work setting, which future trend(s) are likely to have the largest effect on patient care and related information systems?
In my work environment, the introduction of Artificial Intelligence (AI) and technologies of machine learning are likely to have the greatest impact on patient care and information systems. These technologies have the ability to process large amounts of data both from EHRs, wearable devices and genomic data to provide insights that aid in clinical decision-making, personalized treatment and prediction of outcomes (Shilo et al., 2020). AI-based tools can help to diagnose diseases more accurately and efficiently, provide treatment recommendations, and detect patterns that influence public health.
Additionally, telehealth and remote monitoring technologies are rapidly gaining popularity, changing the way healthcare is provided. These technologies make it possible to monitor the health status of patients in real time, reduce the number of visits, and bring health care closer to people, especially those living in remote areas. The introduction of these technologies into information systems requires strong data management and security but improves patient care by making it more personalized, efficient, and accessible (Shilo et al. 2020).
References
Shilo, S., Rossman, H., & Segal, E. (2020). Axes of a revolution: challenges and promises of big data in healthcare. Nature medicine, 26(1), 29-38.
PLEASE RESPOND TO THE FOLLOWING CLASSMATE’S POST IN 50 WORDS OR MORE:
In your work setting, which future trend(s) are likely to have the largest effect on patient care and related information systems?
In my work environment, the introduction of Artificial Intelligence (AI) and technologies of machine learning are likely to have the greatest impact on patient care and information systems. These technologies have the ability to process large amounts of data both from EHRs, wearable devices and genomic data to provide insights that aid in clinical decision-making, personalized treatment and prediction of outcomes (Shilo et al., 2020). AI-based tools can help to diagnose diseases more accurately and efficiently, provide treatment recommendations, and detect patterns that influence public health.
Additionally, telehealth and remote monitoring technologies are rapidly gaining popularity, changing the way healthcare is provided. These technologies make it possible to monitor the health status of patients in real time, reduce the number of visits, and bring health care closer to people, especially those living in remote areas. The introduction of these technologies into information systems requires strong data management and security but improves patient care by making it more personalized, efficient, and accessible (Shilo et al. 2020).
References
Shilo, S., Rossman, H., & Segal, E. (2020). Axes of a revolution: challenges and promises of big data in healthcare. Nature medicine, 26(1), 29-38.