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Clinical decision support systems can help organizations manage large volumes of data while enabling them to deliver quality, value-based care.
Designed to sort through large amounts of data and provide clinicians with actionable insights, these tools can suggest the next steps for treatment, catch potential problems, and alert providers to information they may have missed.
However, if poorly designed or implemented, clinical decision support systems can cause more problems than they solve. Alarm fatigue, physician burnout, and medication errors are all detrimental side effects of unintuitive clinical decision support technology, with these events having a harmful impact on patient outcomes and organizations’ bottom lines.
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Capabilities like robotic process automation (RPA), for example, provide access to any capability or data that a human would have access to inside the EHR and make it accessible to software. RPA …
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