In my career profession of Healthcare Administration, the knowledge management system is essential in the analysis of clients, employees, and operational activities information. The patent’s data can be collected and accessed remotely by any medical practitioner who is attending to their needs. The management involves the design of a database that keeps the information about patients’ historical data (Al-Emran et al., 2021). This database can be simple or complex depending on its intended functionality. Moreover, information is useful during case referrals enabling communication between doctors and general staff. Therefore, there is no need to transfer all the medical history of the patient from one healthcare facility to another as long as it is easily accessible and available on a secure database.
Most importantly, knowledge management helps the healthcare organization cut costs of operational expenses associated with administrative work. For instance, money that would have been incurred in employing staff mandated in the keeping of records is saved. Information can be kept and analyzed in a central system instead of relying on distributed storage centers. This reduces the time of retrieving vital patients’ data, hence speeding up the service delivery (Nshimyiryo et al, 2020). However, the organization will spend more in the implementation phase as the database can only be designed with experienced information systems staff.
Furthermore, knowledge management helps organizations make proper decisions in terms of better service delivery. As Al-Emran et al. (2021) claim, the administration can allocate their resources efficiently based on the information they have about their customers and employees’ feedback. In this case, the patients’ and employees’ suggestions are part of the knowledge that is collected and analyzed. Overall, the knowledge management system is effective in reducing the cost of operations while enhancing effective communication among medical practitioners. The bottom line is to implement a system that is reliable, cost-efficient, and time-saving.
References
Al-Emran, M. Shaalan, K. & Hassanien, A. E. (Eds). (2021). Recent advances in intelligent systems and smart applications. Springer Nature Switzerland AG.
Nshimyiryo, A., Kirk C.M., Sauer, S.M., Ntawuyirusha, E., Muhire, A., Sayinzoga, F. & Hedt-Gauthier, B. (2020). Health management information system (HMIS) data verification: A case study in four districts in Rwanda. PLoS ONE 15(7): e0235823.