Improving ED and Inpatient Operations with Predictive Analytics

By | 2019-11-19T15:54:08+00:00 December 11th, 2018|

When first working with a hospital interested in improving their Emergency Department (ED) and inpatient operations, one of the most important steps we undertake at Hospital IQ is the business discovery process. This consists of having detailed discussions with hospital leadership and staff to better understand the obstacles they are facing, and to learn about any improvement initiatives that may be underway. While this discussion has never been the same at any two hospitals, we have found that the challenges facing hospitals in today’s healthcare climate are often quite similar.

At Hospital IQ, our ED and inpatient solutions help to address these challenges by providing foresight into what is likely to happen next in your hospital. Our forecasts, predictions, and recommendations empower hospital staff and leadership to make better informed, proactive choices around hospital capacity and workforce.

While our software is used in many ways across different hospitals, there are three areas where we have found our Patient Flow solution to be especially effective:

  • Performance Improvement Reporting. A common story we hear when speaking with hospital leadership is that it is very difficult to gain access to timely data, and that data is often siloed in separate IT systems, which presents challenges when trying to obtain a complete picture of hospital activity. At Hospital IQ, we take in data from many sources including bed tracking systems, surgical systems, and EMRs, and use that information to fuel our predictions and recommendations. Having all this data also enables our solution to function as a powerful reporting tool. Our customizable reporting provides key ED and inpatient metrics that can be drilled into down to the patient level, providing transparency into how each metric came to be. Hospitals use this tool to distribute consistent, standardized reports across different departments, ensuring the entire hospital is aligned when measuring performance and tracking progress.
  • Capacity Management. Having an accurate projection of demand in the near-term enables hospital leadership to make timely decisions concerning capacity. Our census forecast uses machine learning to provide a data-driven projection of demand over the next one to seven days. Patient flow leaders use this census forecast paired with their years of experience to make decisions around allocating flex space and blocking beds as well as short-term staffing decisions, such as float pool use. At hospitals utilizing the census forecast each day, we have seen a reduction in ED boarding time and decreased prevalence of Left Without Being Seen (LWBS), as well as reduced staffing costs and improved staff satisfaction.
  • Length of Stay (LOS) Management. While capacity management takes a high-level look at the hospital, our patient-level predictions analyze each individual visit and assist in targeting specific patient populations for movement and discharge. While these populations may be segmented by the unit in which the patient is placed, populations can also be segmented by care-team, attending physician, and even diagnosis. Our patient-level planning tools are used to direct the conversation during interdisciplinary rounds, as well as to prioritize specific patients during throughput meetings. Hospitals using these patient flow planning tools have observed a reduction in overall LOS, decreased discharge boarding, and fewer long-stay observation patients.

At Hospital IQ, we recognize that no two hospitals are the same, and define specific use cases that target each hospital’s challenges while capitalizing on its strengths. Our ED and inpatient solutions address the most common issues facing hospitals today and have proven to be successful in impacting key metrics and resolving patient flow bottlenecks.

Customer Case Study: Reduce Length of Stay Through Proactive Management of Observation Patients

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