Viola, D., & Arno, P. S. (2019). Can hospitals advance health equity in the United States? The influence of technology, economics, and policy. In The Modern Hospital (pp. 61-73). Springer, Cham.
The authors, the contemporary disparities being experienced in the United States healthcare system, are due to their failure in the reallocation of resources to besides within healthcare facilities systems towards improving essential technologies as well as data systems. These have championed failure in effective coordination and healthcare delivery to all. Hence, with the appropriate economic incentives plus policies, tangible patient data can be collected and information shared towards supporting the identification and caring for the most underprivileged patients. Besides, managing patients' care in line with local healthcare providers, along with leveraging their capability towards scoping and scaling technology and data to enhance patient-centered care.
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Farahani, B., Firouzi, F., Chang, V., Badaroglu, M., Constant, N., & Mankodiya, K. (2018). Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare. Future Generation Computer Systems , 78 , 659-676.
In this article, these researchers advocate the necessity of healthcare providers to changeover towards patient-centric healthcare from conventional clinic-centric treatment. This is based on the fact that patient care has become gradually more challenging to manage effectively, due to less effective and insufficient healthcare information management. They champion that a holistic patient-centric Internet of Things electronic-health system has a high propensity of providing a seamless framework towards networking the healthcare facility, services, and patient in a collaborative manner that can improve patient-centered care.
Zhong, R. Y., Newman, S. T., Huang, G. Q., & Lan, S. (2016). Big Data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectives. Computers & Industrial Engineering , 101 , 572-591.
The researchers, examine descriptive applications of Big Data from healthcare, finance and economics, manufacturing, and supply chain management sectors. Moreover, they analyze how modern technologies can be applied effectively towards Big Data collection, processing, storage, and visualization. Besides, overcoming the challenges associated with healthcare information management such as collection, transmission, and storage towards creating effective patient care decision-making processes.
Hassanalieragh, M., Page, A., Soyata, T., & et al. (2015). Health monitoring and management using Internet-of-Things (IoT) sensing with cloud-based processing: Opportunities and challenges. In 2015 IEEE International Conference on Services Computing (pp. 285-292). IEEE.
In this article, the authors advocate that amongst the array of applications that the Internet of Things has enabled, is the effective networking and smart healthcare provision. It has made it possible for collecting the much-needed patient information revealing their mental and physical health statuses. Collected on a persistent basis, appropriately mined and aggregated, such facts can positively champion a transformative modification in the landscape of healthcare. It can facilitate the healthcare sector to be a practical charter for diseases prognosis during the early stages, combined with cure, overall health management, and prevention rather than the disease.
Yazdi-Feyzabadi, V., Emami, M., & Mehrolhassani, M. H. (2015). The health information system in primary health care: the challenges and barriers from local providers' perspective of an area in Iran. International Journal of Preventive Medicine , 6, 57
The researchers, examine current barriers and challenges encountered by PHC providers towards providing high-quality health information system in Iran. They engage a qualitative methodology by utilizing semi-structured focus group discussions that had been audiotaped to conduct their study. The study’s results pinpoint towards organizational challenges as being the PHC current model plus the structure of the HIS system. Besides, the management structure of the HIS which includes the organizational rules, IS resources, supplies, information process, and users. They conclude that HIS functions efficiently plus effectively if it is consistently integrated with supplies, process, and users.
