Internet of Things (IoT) have a tremendous support to healthcare in the aspect of information capture and processing, which could much improve the healthcare service quality. Hospital needs to consider several factors in implementing IoT. This study aims to select and determine the appropriate IoT solutions in the hospital with the most of minimum risks and challenges. Analytical Hierarchy Process (AHP) method is used to calculate the priority weight of IoT implementation in hospitals based on challenge factors, meanwhile The IoT implementation is assessed with probability and severity scale to get the risk score. Then after obtaining the risk score and weight of challenges, the priority weight and risk score of IoT implementation in the hospital are used for the development of models using AHP-ZOGP. And finally, Zero One Goal Programming (ZOGP) Method is used to create a selection model for IoT implementation in the hospital. The final results from the model showed that Hospital Patient Queue Management System is chosen in every available scenario, with remarkable result that could decrease 38.5% Technical risk, 46.2% Personnel risk and 69.3% challenge in healthcare.