Health Informatics and Public Health Leadership
Introduction
Organizations of public health care are at the forefront when it comes to excellent health care providers in the entire globe. Even though in every organization conflicts erupt within employees and management and ways of handling conflict also depend on the capability of the leader and leadership skills. As cited by Culyer et al.,(2016). inline with public health competing appeals for limited resources which in most cases causes’ competition within employees that needs to take charge of health services and programs. In the United States, healthcare facilities have significant early income from self-paying patients. However, there is an induction of issues with the upfront collection since health insurance offers highly deductible health care coverage. There are higher co-payments with the insurance scheme. Also, the large population who have no healthcare cover has worsened the problems. Hence, the health Centre has to establish a mode to manage upfront collections problems. The existing traditional payment systems were unable to realize the goals for revenue generation. The multiple drawbacks of the conventional processing system are enormous. The patients must make payments in advance to receive services. It implies that the staff in Patient Financial Services must have a credible database of their clients (Nguyen, & Innovations.,2017).
From a leader’s perspective, applying geographic information systems (GIS) technology in evaluating health care services depends on several issues.GIS is a kind of software that is used in mapping that enables users to display input data that is associated with a particular project Gosling, P. C., & Symeonakis, E. (2020). Automated map projection selection for GIS. Cartography and Geographic Information Science, 47(3), 261-276. When data is displayed it allows geographic groupings of patients’ demographic data. It also allows individuals to test or conduct statistical analysis. Several benefits come with GIS systems like identifying heath trends, tracing the spread of infectious disease, making use of personal technology, incorporating social media, and improving services. Before the introduction of GIS, the challenge with the traditional payment system was the processing of the customer payment information since it had to be processed in the backend. Apart from that, the hospital accounting staff found the job to be boring and it took time to process the details of the patients. The delays due to the traditional system of payments have resulted in operational inefficiencies and, therefore, in low service quality which GIS has addressed.
Throughout the process of progress monitoring, the Central Business Office could not obtain data on delegated accounts throughout real-time or prioritize risk. Without contact with backend staff, the front desk workers could not represent the customers. There was also a shortage of authorization. The Patient Care employees were not to be accountable for the records of the patients they were working with to reduce the degree of responsibility to a minimum. To boost the quality of services and revenue production in their hospital’s GIS has played the biggest role in making use of personal technology in tracing the demographic data of patients.
The staff of Patient Financial Services was encouraged to be fully accountable for the accounts they handled. The facilitation improved the employee’s sense of accountability and responsibility. Patient Financial Services representatives were allowed to take decisions and became auto sufficient. They operated in line with what they found necessary for increasing business pace and delivering services to customers. The right equipment and software installed to help with account automation are GIS (Gosling & Symeonakis,2020). GIS enables incorporating social media and improving services. The Patient Financial Services and the current account representatives were provided with individualistic dashboards. The dashboards encouraged the follow-up of the staff to achieve their set goals. The benchmarking process was also necessary. The GIS program ensured that the front-end collection system would be introduced in contrast with the previously applied backend. Via its front-end collection system, GIS in healthcare streamlined claims and denials. Before the patient leaves the registration desk, the survey of the patient records was completed. The front desk staff will decide whether a patient is a debtor or the patient form is invalid immediately to make sure the action is right. The reliability of the GIS program improves the work of the medical staff to avoid the opening volume of files to look for information (Gosling & Symeonakis,2020).
As a leader in applying GIS technology, I would state that due to rising technology and the importance of using GIS. I can comfortably state that the use of GIS can help me in reducing costs within hospital facilities that for quite some time have suffered financial constrains which affects individuals seeking healthcare. Another practice that GIS Healthcare utilized is cost sparing (Luo et al.,2019). Bookkeeping methods of reasoning require that organizations must utilize cost decrease methodologies or profit maximization. The cost savings for activities were reduced while the income of the association was increased on a similar scale. The system of the profit range was merged. The entire Patient Financial Services preparation program, which now includes personnel, was destined to reduce recruitment expenses for skilled personnel. The GIS Health System ensured that the programs were competent and convenient. The accessible assets have been used along with the employees by the management to increase performance. GIS system was evaluated for its efficacy and the main problems have been identified. The measurement of display and recording of the managers ensure their optimum efficiency(Gosling & Symeonakis,2020).
References
Chalkidou, K., Glassman, A., Marten, R., Vega, J., Teerawattananon, Y., Tritasavit, N., … & Culyer, A. J. (2016). Priority-setting for achieving universal health coverage. Bulletin of the World Health Organization, 94(6), 462.
Gosling, P. C., & Symeonakis, E. (2020). Automated map projection selection for GIS. Cartography and Geographic Information Science, 47(3), 261-276.
Nguyen, K., & Innovations, C. T. A. C. (2017). Advanced Care Model (ACM) service delivery and advanced alternative payment model.
Xiong, X., Zhou, S., Huo, Z., & Luo, L. (2019). GIS‐based method to delimit spheres of influence for a medical consortium: Experience of a pediatric medical consortium, Shanghai. The International Journal of health planning and management, 34(1), 294-308.