Mifflin-Dunder Regional Case Study

Mifflin-Dunder Regional has private patients and public patients. For the public patients, all funding is provided by government. Mifflin-Dunder Regional is likely to make no profit if they underestimate the treatment days for patients. Hence, analyzing existing data and making estimations about bed days are crucial. The data of different illnesses such as treatment methods, treatment durations, the frequent occurrences in every year and the doctors that in charge of treatment should be recorded before analyzing and making decisions. For the private patient, as they can choose their own doctor anytime, the ability and popularity of every doctor are important information. Also, since the private patients and public patients are sharing same resources, it is important to correlate staff roster in two departments to maximize the

For example, the patients’ records can be managed by case management and the staff or other resource data can be recorded by ERP system. Also, an integrated data analysis and estimations on operational database should be proposed. The collection of hospital’s data should include patients, medicines, medical devices, pathology, doctor and even finical data. RWTH University Hospital Aachen, Germany (UK Aachen) has been performed as a good example of data integration. It makes decisions based on complementary data that sourced from interviews of several representatives of the Standard Care (SC), Case Management (CM), and its IT departments. The CM department can gather information of all processes concerning the treatment, nursing, and after-treatment of the patients to perform better services for patients (Wulff et al., 2008). Concerning the new strategy implemented by RWTH Hospital, the margin between estimated bed time and actual bed time has been