How predictive analytics can help hospitals manage administrative, clinical functions

Patient data can help hospitals and health systems drive actionable insights on topics ranging from technology implementations to revenue cycle functions.

At Becker's Hospital Review's 5th Annual Health IT + Revenue Cycle event in Chicago on Oct. 10, panelists discussed beneficial predictive analytics use cases for healthcare organizations. Gregory Bryant, IT director at Baylor Scott & White Texas Spine & Joint Hospital moderated the panel session, which featured the following panelists:

· Emmanuel Higenyi, CIO at Washington Regional Medical Center in Fayetteville, Ark.
· Adriel Gorsuch, senior application analyst and Epic implementation charging lead at Oregon Health and Science University in Portland.
· Karen Way, global practice lead for data and intelligence at NTT Data.
· Audrius Polikaitis, PhD, CIO at University of Illinois at Chicago Hospital and Health Sciences System.

Here are three takeaways from the session:

1. When implementing new software or a new technology, it's important to leverage the correct type of predictive analytics model to help understand whether the new solution will produce the target return on investment.

2. On the revenue cycle side, predictive analytics can help with administrative functions, such as preemptively predicting claims denials. Applying predictive analytics around patient collections can also help hospitals identify patients who are unlikely to pay a medical bill and then work with them on alternative payment plans or options.

3. Leveraging predictive analytics can also help draw insights on emergency department visits. From a population health perspective, creating a predictive model based on patient data such as length of hospital stay, specific labs done during the visit and previous hospital admissions can help the healthcare organization anticipate patient admissions.

More articles on data analytics:
How can hospitals use real-time analytics to improve care quality, delivery? The sky's the limit
Data integrity poses a major challenge to ROI: 3 things to know
OSF Ventures invests in healthcare data analytics startup

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