Why Do Clinicians Work Around Health IT Systems That Work?

Clinician using a digital health interface.

When the System Works but the Workflow Does Not

Clinicians create workarounds when health IT fails to match the real workflow, even when the system functions as designed. Side spreadsheets, duplicate data entry, extra clicks, and manual reconciliation reveal where technology and clinical work stop lining up. A system may perform every intended function and still create unnecessary work. These workarounds show where technology no longer supports the way clinicians actually work.

Clinician using a digital health interface.

Workarounds Create Hidden Operational Costs

Small points of friction add up. Clinicians spend more time repeating tasks and correcting workflow gaps. Extra steps slow daily operations. Rework takes time away from time with patients. These problems also expose gaps between system requirements and actual clinical needs.

Three healthcare providers working together to create a patient care plan.

HITS Aligns Technology With Real Workflows

Health Information Technology Solutions (HITS) LLC identifies where technology creates friction. We map actual workflows and identify unnecessary steps. We turn operational gaps into traceable, testable requirements. We test those requirements against real workflows. This connects system performance with work clinicians perform every day.

Two healthcare professionals collaborating on a care plan

Better Workflows Create Better Outcomes

Better alignment reduces unnecessary workarounds and avoidable rework. Clear requirements reflect actual operations and user needs. Real-world testing identifies problems before they disrupt daily work. Programs gain technology that supports clinicians and strengthens mission outcomes.

Health IT Should Support the Work

Federal health programs should not accept workarounds as part of the job. They should identify the friction and address its source. HITS turns real user experiences into measurable system improvements. Technology should support clinical work, not create more work around it.

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References

  1. https://pmc.ncbi.nlm.nih.gov/articles/PMC8061456/
  2. https://pmc.ncbi.nlm.nih.gov/articles/PMC12206486/
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