The technologies described in the document can be more accurately employed in manufacturing businesses where the production manager is located far from the factory. Notably, the production manager using teleconferencing can manage several production facilities across different locations in the world at the same time and; hence, ensure standardized production across the world. However, this would require the use of standardized inputs starting from the raw materials, labor, and even the machines involved in the production process across the world. In such a setting, the transferability of skills across the world would be made easier while the costs of hiring professionals to go down per organization (Park et al., 2014). The second instance where the technologies can be adequately employed is in the supply chain management processes where value creation falls at the inspection point for all the goods of trade and stickers generated online to confirm the completion of the process. That way, several inspection centers can be set up limiting the time spent for inspection at the ports. This would also improve the traceability of products.
The use of IT in health professions is still very much in its infancy. However, some technologies would be considerably more beneficial and help in saving lives while at the same time having limited and easily transferable costs of management. Big data technologies are good examples of technologies whose application on universal health systems would be appropriate. To explain the relevance of this, in some regions, many costs go to the testing of tests such as blood group and the question on health history. Such data is not available in a standardized format. This results in the replication of these tests whenever the patient changes the treatment centers of doctors and a lot of time is wasted on the same. If a technology that captures the patient’s data is designed, then the service times and costs per patient would be greatly reduced. This would also provide data for research purposes. The big data analytics are considered the next development frontier (Sabesan, Simcox, & Marr, 2012).
References
Park, N., Rhoads, M., Hou, J., & Lee, K. M. (2014). Understanding the acceptance of teleconferencing systems among employees: An extension of the technology acceptance model. Computers in Human Behavior, 39, 118-127.
Real World Case 3. Brain Saving Technologies, Inc. and the T-Health Institute: Medicine through Videoconferencing (pp. 236-237).
Sabesan, S., Simcox, K., & Marr, I. (2012). Medical oncology clinics through videoconferencing: an acceptable telehealth model for rural patients and health workers. Internal medicine journal, 42(7), 780-785.
