{"id":20930,"date":"2023-09-27T08:35:44","date_gmt":"2023-09-27T13:35:44","guid":{"rendered":"https:\/\/www.lightning-bolt.com\/?post_type=blog&p=20930"},"modified":"2024-08-16T14:30:10","modified_gmt":"2024-08-16T19:30:10","slug":"healthcare-clinical-workforce-analytics","status":"publish","type":"blog","link":"https:\/\/www.lightning-bolt.com\/blog\/healthcare-clinical-workforce-analytics\/","title":{"rendered":"Improve Healthcare Operations with Clinical Workforce Analytics"},"content":{"rendered":"
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\u201cAlthough caregivers are burdened with reporting reams of information, they rarely consistently track the health outcomes that matter most to patients and thus to themselves as clinicians.\u201d<\/em>1<\/sup><\/p>\n\n\n\n

With rising labor costs,2<\/sup> growing expenses, falling EBITDA, and decreasing operating margins,3<\/sup> healthcare organizations need new strategies for controlling costs and improving clinical communication workflows. While analytics are often used to inform strategic decision making such as supply chain management, healthcare organizations may miss the opportunity to use analytics to maximize their most important resource: their clinical workforce.<\/p>\n\n\n\n

Let\u2019s explore how an advanced provider scheduling solution<\/a> can deliver analytics that play an essential role in improving healthcare operations.<\/p>\n\n\n

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1: Reduce Wasted Resources<\/h2>\n\n\n\n

Advanced scheduling analytics allow your organization to identify trends in patient demand. Assess service utilization across departments and clinic locations to adjust staffing levels over time. You can analyze demand for specific services, determine the number of clinicians needed to deliver those services for a given timeframe, and reduce staff and labor costs when patient demand is lower. For example:<\/p>\n\n\n\n

The Chief of Surgery wants to better understand seasonal trends in patient demand for elective surgeries. He runs a report and finds that case numbers are much lower during January and February. With granular insights into provider supply and patient demand, he is able to project exactly how many surgeons are needed during each shift. He asks the department scheduler to reduce staffing levels for January and February.<\/em><\/p>\n\n\n\n

2: Ensure Patient Access<\/h2>\n\n\n\n

After using analytics to identify trends in patient demand, you can respond to rising demand by proactively increasing staff levels to improve patient access and increase revenue. For example:<\/p>\n\n\n\n

The Emergency Department\u2019s Medical Director runs a report and finds that during the summer months, the need for pediatric emergency care greatly increases. Currently, the team only staffs a single pediatric emergency physician. The Medical Director contacts the department scheduler and requests for a pediatric advanced practice provider to be added to the schedule for June through August.<\/em><\/p>\n\n\n\n

In the example above, the ED (Emergency Department) has both increased patient access to pediatric emergency care and increased clinical capacity\u2014helping the department generate more revenue based on a particularly common type of service for the specific timeframe. With trends in value-based care, this pediatric practice can improve patient satisfaction.<\/p>\n\n\n\n

3. Improve Provider Retention<\/h2>\n\n\n\n

A key approach to cost reduction is to improve provider retention. Replacing a single physician can cost anywhere from $500,000 up to $1 million, according to the American Medical Association (AMA).4<\/sup> This means focusing on provider satisfaction and retention could save your organization hundreds of thousands\u2014and maybe even millions\u2014of dollars.<\/p>\n\n\n\n

According to the 2020 Medscape National Physician Burnout & Suicide Report, spending too many hours at work is a key contributor to provider burnout.5<\/sup> But what is the definition of \u201ctoo many hours\u201d and how can you help prevent provider schedules from reaching that threshold?<\/p>\n\n\n\n

Scheduling analytics help ensure certain shifts, like weekends and calls, are evenly distributed across a team of providers. You can share reports with your team that show even shift distribution.<\/a> This eliminates any possible suspicion of unfairness, which may not completely eliminate the issue of spending too many hours at work, but it helps address a source of provider dissatisfaction.<\/p>\n\n\n\n

4. Optimize Staffing Models<\/h2>\n\n\n\n

Not all providers and care team members are alike. Some prefer to work more than others, some practice part-time, and they each vary in their preferences and productivity levels, making it challenging to optimize staffing models by specialization and availability alone. Advanced medical analytics reporting provides the details you need to enhance your organization\u2019s staffing models for productivity.<\/p>\n\n\n\n

Over time, you can note which providers are more productive during specific shift times to create rules that schedule individual providers for their most productive shifts. You can then review the larger impact of certain staffing models on productivity and adjust your scheduling rules on a macro level. Without scheduling analytics, this type of insight and optimization is nearly impossible to achieve. But with the evolving demands and expectations in healthcare, it’s also becoming essential every day.<\/p>\n\n\n\n

Reduce Poor Workflows and Improve Patient Response Times<\/h2>\n\n\n\n
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