Hospital Quality Management

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Risk and Quality Management Assessment Summary
Risk and quality management are vital elements when it comes to operations of any organization, and even more crucial to a health care organization such as the hospital - Ocean Medical Center for example. Ocean Medical Center, a 315-bed facility, is located in New Jersey and has become the essential part of the community since its opening in 1984. The hospital offers services ranging from cancer care, cardiac, emergency, orthopedic, stroke treatment and recovery, pediatric, and surgical services. It also offers different neuroscience & neurology rehabilitation program (Meridian Health System, n.d.).
According to Donn (2005), “Risk management is a systematic process that helps health care providers
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Among the hospital, the assets include the health care professionals - physicians, nurses, unit secretaries, and nurses assistants, technologies, and pharmacies. By having success with the concept mentioned above, the hospital would have the tendency to maximize its profits to the organization, in addition to managing the risks. One of the concepts of quality management is teamwork. Effective and efficient collaboration contribute immensely to the success of the whole organization by being productive and able to reduce safety issues and increase the quality of services. Also with teamwork, patients would be more satisfied with their care by experiencing a stress-less environment and working towards the same …show more content…
Predictive analytics could be described as the utilization of model and statistics to predict prospective performance based on prevailing and historical data. The use of predictive analytics, on the hospital readmission, should be able to predict who among the patients is likely to be readmitted to the hospital. A patient with a heart disease for example. Managing this type of risk could involve the patient having to wear a monitor to measure their heart rate or rhythm. The data collected would be best used to make the medical decision and prevent readmission. Predictive analytics could also be used in the triage of the hospital to estimate the risk of complications on admission. The data collected at the triage would be helpful in managing staffs and bed resources, anticipating the need for a transfer to the suitable unit, and informing overall plan of action for managing the patient (Bates, Saria, Ohno-Machado, Shah, & Escobar,

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