Enterprise staffing analytics align supply & demand for optimal benefits

Enterprise staffing analytics align supply & demand for optimal benefits

September 11, 2020
Business Affairs Health IT

    Managing costs and revenue. In most health systems, effective staffing strategies have a direct impact on the bottom line. Not only do labor costs typically top the expense report, but clinical productivity still drives most revenue. That’s why it’s important to identify opportunities to improve clinical productivity—which includes understanding how existing staff can best assist in high-need areas. With a real-time, enterprise-level approach to scheduling analytics, organizations can track needs comprehensively, address them by optimizing resource utilization, and measure results.

    One Midwestern multi-hospital health system planned to consolidate all of its knee surgeries to a single facility. To ensure it had the staff to support this strategic move, the organization used analytics to build a staff resource plan a year in advance that maximized existing clinical resources. With the strategy in place, the organization anticipates achieving efficiencies and economies of scale that will enable a 25 percent increase in patient volume, a reduction in care costs and an increase in care quality as patient volumes rebound as organizations begin elective surgeries again.


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    Boosting productivity and satisfaction. The recent disruptions caused by COVID-19 have only magnified the positive and negative effects of clinical productivity pressures. We have seen how essential it is to balance productivity in a way that speeds patient access to care, but also safeguards provider satisfaction and prevents burnout. There are several ways that workforce analytics can help raise productivity and satisfaction at the same time.

    One way is to look at “time away” trends together with “target” and “actual” clinical time. Superimposing time away and clinical time onto the same dashboard view can reveal why someone is ahead or behind in their clinical time. Such insight can alert managers when staff need to make up time, as well as their potential for burnout. Thus, managers and schedulers can proactively address work-life balance while ensuring clinical resource availability.

    Another way staffing analytics can spur productivity and satisfaction is by displaying employees’ clinical, administrative, research and teaching (CART) time, which permits proactive management of their progress toward goals. Academic medical centers that review monthly or weekly CART reports can see trends toward targets in real-time, delivering transparency and accountability to help providers stay on track to meet their contractual expectations.

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