ABSTRACT Background: Preeclampsia is the most common cause (32%) of maternal deaths in Indonesia. Model Piers (Pre-eclampsia Integrated Estimate Risk) can predict the outcomes / complications of pre-eclampsia and associated with a reduction in maternal morbidity. This study aims to assess the potential modification of the model to predict the outcome Piers mothers with preeclampsia in Type B hospitals in Indonesia. Methods: This research is a prognostic with the analytical method and quantitative approach retrospectively. This study used the capture technique stratified random sampling to obtain the medical records of 160 people with preeclampsia and 160 controls in hospitals Banjarmasin Ansari Saleh 2014. Identified availability of variables in the model along with the outer piers preeclampsia. Performed univariate, bivariate and multivariate corresponding availability of variables the model Piers. Result: eight of the 48 variables in the model Piers consistently found in all samples, while output available were complication preeclampsiaeclampsia and/or HELLP syndrome. The gestational age was significantly influent eclampsia for the subject in this study (P <0.05), HELLP syndrome (P <0.05), and a combination of both (P <0.01). Predictive value of a logistic regression model with the variables that the outer form of the syndrome HELLP or in combination with eclampsia is 0.811 (AUC ROC; CI 95% from 0.636 to 0.986) and 0.767 (AUC ROC; CI 95% 0.666 to 0.868), while the prediction of eclampsia was not significant (P> 0.05). Conclusion: Modifications Piers models to predict potential outcomes of women with preeclampsia in RS type B in Indonesia if it is supported by policies and standards that consider this model and supported a larger number of samples.