analyticsMD empowers frontline hospital managers to make data-driven operational decisions. Provider organizations operate in an increasingly complex environment. Managers and front line staff make thousands of operational decisions every day that add up to a big impact on operational efficiency and patient experience. Deciding how many nurses to staff, how long an operating room case lasts or understanding how to manage and reduce whitespace in physician schedules are a few examples of such decisions. It is both surprising and unfortunate that hospital staff do not have access to better tools to solve these problems. This is especially true given the vast quantity of data available in hospital EMR systems which could be harnessed and mined to tackle these issues. In other industries – retail, manufacturing, travel – advanced statistical techniques are applied to optimize operations. Why not in Healthcare? analyticsMD uses a hospital’s data along with proprietary external data signals to help managers proactively manage day-to-day operations. analyticsMD’s algorithms analyze hospital data along important operational and clinical metrics, allowing hospital staff to both monitor operational performance and automatically diagnose operational issues in real time. In addition, analyticsMD’s machine-learning based forecasting techniques enable hospitals to predict patient volumes and optimally allocate resources – such as staff, beds, and rooms – to meet this demand. These insights are delivered to staff in the workflows with which they are already accustomed. analyticsMD is a SaaS product, which is hosted on HIPAA compliant servers and requires no physical infrastructure at the client site. Deployment can be achieved in just a few weeks.
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