Question: Third challenge: Recent medical errors at RCAD have resulted in the development of an extensive Patient Safety Improvement Program, analysing trends and identifying opportunities for

Third challenge: Recent medical errors at RCAD have resulted in the development of an extensive Patient Safety Improvement Program, analysing trends and identifying opportunities for improving patient safety. A key element of this program is ensuring adequate staff are available to provide care. In order to develop such staffing models, the hospital must be able to predict patient inflows at a more granulur level. Table I depicts patient admissions data for RCAD's intensive care unit. 3.a Develop a prediction model using this daily/monthly patient admissions data to predict the inflow of patient admissions. 3.b Predict admissions for January, February, and March of the following year. 3.c Develop monthly and daily indexes for patient admissions. 3.d Using the daily indexes technique, develop the monthly adjusted predictions for January, February, and March as well as for Monday through Friday in these months. 3.e Analyse the regression model and adjusted predictions developed in part (3.d). Provide the chair of the Patient Safety Improvement Program and the Chief of Operations a brief summary of your findings to aid in the development of a revised staffing model, providing some insight into the predicted inflows of patient admissions. Third challenge: Recent medical errors at RCAD have resulted in the development of an extensive Patient Safety Improvement Program, analysing trends and identifying opportunities for improving patient safety. A key element of this program is ensuring adequate staff are available to provide care. In order to develop such staffing models, the hospital must be able to predict patient inflows at a more granulur level. Table I depicts patient admissions data for RCAD's intensive care unit. 3.a Develop a prediction model using this daily/monthly patient admissions data to predict the inflow of patient admissions. 3.b Predict admissions for January, February, and March of the following year. 3.c Develop monthly and daily indexes for patient admissions. 3.d Using the daily indexes technique, develop the monthly adjusted predictions for January, February, and March as well as for Monday through Friday in these months. 3.e Analyse the regression model and adjusted predictions developed in part (3.d). Provide the chair of the Patient Safety Improvement Program and the Chief of Operations a brief summary of your findings to aid in the development of a revised staffing model, providing some insight into the predicted inflows of patient admissions

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