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Testing device interoperability within clinical workflows

Assess successful transmission alongside correct meaning and action in the receiving system.

Representative research photograph: Testing device interoperability within clinical workflows
Photo: U.S. Army TSAE by Ismael Ortega · License: Public domain · Cropped and resized.
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Transmitting device data does not establish correct interpretation within a clinical workflow. Units, timing, participant matching and status may change. Do not restrict interoperability assessment to whether a connection exists.

Define the assessment

Link each important field’s source meaning to its receiving display and intended user decision. Retain technical communication testing and clinical-use validation as separate evidence. Clarify intended-use boundaries and responsibilities between manufacturers within the investigation arrangements.

Worked example

For example, a device transmits correctly, but the receiving screen displays an older value as current. The connectivity test passes, yet a user could act in the wrong temporal context. The team traces generation, transmission and display times in an example record, reconsidering technical acceptance alongside the actual user task.

Practical checks

  • Check units, timing and participant matching end to end using representative transmissions.
  • Test how delayed, duplicate and reordered messages affect the user’s display.
  • Assign responsibility for notification and investigation of source-to-receiver failures.

Decision and limitations

Acceptance should demonstrate reliable use in the correct context. A working connection does not establish every system combination. Explain tested versions, configurations and failure situations; do not automatically extend existing evidence to new combinations.

Frequently asked questions

Is successful transmission sufficient?
No. Assess meaning, matching and presentation in the receiving system as well.
Does testing one receiving system cover every other system?
Do not assume this. Justify coverage against version and configuration differences.

Sources

  1. MDCG 2023-4 — Software and hardware combinations
  2. MDCG 2020-1 — Software clinical evaluation