Abstract: Techniques regarding the management of computational resources based on clinical priority associated with one or more computing tasks are provided. For example, one or more embodiments described herein can regard a system comprising a memory that can store computer-executable components. The system can also comprise a processor, operably coupled to the memory, that executes the computer-executable components stored in the memory. The computer-executable components can include a prioritization component that can prioritize computer applications based on a clinical priority of tasks performed by the computer applications. The clinical priority can characterize a time sensitivity of the tasks. The computer-executable components can also include a resource pool component that can divide computational resources across a plurality of resource pools and can assign the computer applications to the plurality of resource pools based on the clinical priority.

Abstract: A method, system, and computing capabilities are presented for improving visibility to resident payment trends, resident credit score trends, and anticipated rent income trends. A rent payment risk level of individual residents is evaluated based upon credit scores and historic rent payment information of residents. Resident risk evaluations are aggregated, producing a property stability score. Resident rent payment information may be provided to credit bureaus for incorporating into individual credit scores. High risk residents may be advised of financing options that are suitable for their needs.