In: Nursing
Imagine you work as a risk management supervisor at a local health care facility. As a leader explain the importance of risk management from various concepts and factors by answering the following questions.
a. Explain the concepts of risk management in the health care industry.
b. Explain factors that influence risk management in the health care industry.
c. Explain the relationship between risk management and quality management.
d. Analyze the information and information technology methods needed to make risk-management decisions in the health care industry.
e. Analyze key risk management tools in the health care industry.
f. Analyze challenges in making risk management decisions
Answer a: The concept if risk management can be explained as it is a kind of methods or efforts that are made to analyse, evaluate as well as reduce the risk that could occur in the healthcare organizations. The risk could be related to patients, staffs, or the organization. It is one of the best way to identify the risk and managing or fixing it so that it may not cause any threat to the healthcare organizations.
Answer b: Factors that influence risk management in the health care industry are:
Answer c: The relationship between risk management and quality management is that if all sorts of the risk that could occur to the healthcare organizations would be fixed and reduced. It will direct enhances the quality of the healthcare organizations. Both are directly proportional to each other. The quality management involves enhancing the quality of the healthcare organizations by reducing and eliminating the risk, threat and drawbacks. Similarly, the risk management Identify, evaluate and reduce the risk that could occur in the healthcare organizations.
Answer d: The information technologies that could used to reduce the risk and enable the improved risk management as these technologies provide a platform of the data and information that can be utilized to reduce the risk. Such as information available about the patient readmission rates, financial expenses, diagnosis of the patients. These information can be easily utilise to reduce the disparities.