In December 2016, the 21st-century cures Act was passed by the congresses and signed by President Obama. The law covered many healthcare aspects intending to personalize healthcare, support research, and innovation, modernize healthcare and streamline the system (Important Laws and Regulations in Health Informatics, 2021). Personalization of healthcare focuses on the way healthcare organizations manage the delivery of care. Several changes have resulted from the implementation of the personalization law.
Health care delivery has various issues that generally arise because disease manifestation in an individual may be different in several people. Various patients have different symptoms, and each of them requires a different approach to result in a healthy outcome (Lewy et al., 2019). With healthcare personalization, data collection and analysis of large volumes of patient data from various groups help provide the best approach to treatment (Fröhlich et al., 2018). The previous method was mainly based on the healthcare guess on the best treatment option, which sometimes leads to disasters in healthcare facilities (Lewy et al., 2019). With the current approach, the safest treatment options for each patient are determined, thereby enhancing patients’ health care.
The technology associated with personalized healthcare is personalized health systems (PHS). These computer systems are tailored to provide healthcare providers with solutions through electronic health records (EHRs). The system has predictive models that identify the risk associated with a certain disease and deterioration (Lewy et al., 2019). This information is helpful as it enables the caregiver to identify, treat patients, and further provide personalized preventions (Lewy et al., 2019). With personalized healthcare, several ethical dilemmas have resulted. First, the risk of the hype is still persistent despite medical advances. Second, other patients tend to be disadvantaged because of resource allocations to healthcare systems. To solve the risk of hype, scientists need to create advanced systems that will offer better solutions to patients (Fröhlich et al., 2018). The resource allocation problem can be solved by proper budgeting and allocation of resources to prevent resource diversion in healthcare facilities.
Fröhlich, H., Balling, R., Beerenwinkel, N., Kohlbacher, O., Kumar, S., & Lengauer, T. et al. (2018). From hype to reality: data science enabling personalized medicine. BMC Medicine, 16(1). Web.
Important Laws and Regulations in Health Informatics. (2021). USF Health Online. Web.
Lewy, H., Barkan, R., & Sela, T. (2019). Personalized health systems—Past, present, and future of research development and implementation in real-life environment. Frontiers in Medicine, 6. Web.