According to Case 42, Hospital Charges, physicians fetch control exclusively over hospital costs, length of stay, and which drugs and other supplies ar needed for tolerant role treatment. However, physicians are not employees of the hospital and they usually commit their take in billing service. Furthermore, hospitals revenues are determined by the long-sufferings insurance coverage, which counteract in according to DRG inscribes (Diagnosis cerebrate Group). The 289 patient records in the entropy are for dominion deliveries of babies. The variables utilise are: DAYS (the bod of days the patient fatigued in the hospital), CHARGES (the total expenses supercharged to that patient), PHYSICIAN (is a code identifying the physician), and PAYOR (indicates the type of insurance the patient carries: 1 for managed care and 0 for commercial insurance. This data is of crabbed interest to me because I spent three years in a patient accounts subdivision for a hospital. I have seen what insurance, whether managed care or commercial, pay what is agreed upon in the contract. It bequeath be interesting to refrain from the data which variable has the or so and least significance on hospital charges for a normal vaginal delivery. Data abstract The first step I took in this data depth psychology is an output with all the variables within this case study. obsession analysis| | | | | | | | | | | | | | R² | 0.642 | | | | | | change R² | 0.
638 | n | 289 | | | | R | 0.801 | k | 3 | | | | Std. error | 635.149 | Dep. Var. | CHRGS| | | | | | | | | | ANOVA table| | | | | | | Source| SS | df | MS| F| p-valu! e| | relapse| 206,321,590.2722 | 3 | 68,773,863.4241 | 170.48| 2.73E-63| | Residual| 114,973,178.8004 | 285 | 403,414.6625 | | | | Total| 321,294,769.0727 | 288 | Â | Â | Â | | | | | | | | | | | | | | | | Regression output| | | | self-confidence interval| variables| coefficients| std. error | t (df=285)...If you motivation to get a full essay, order it on our website:
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