Intended Purpose
What is the specific function intended to do, for which users, patients, care setting and jurisdiction?
BestCura does not treat regulatory classification as a label applied after development. Functions are considered separately by intended purpose, clinical impact, execution effect, AI involvement and jurisdiction.
Administrative healthcare IT, clinical documentation, patient-specific decision support, AI components and execution-critical functions are assessed separately. The concrete regulatory status depends on final intended purpose and actual use.
What is the specific function intended to do, for which users, patients, care setting and jurisdiction?
Does it merely store data, provide information, influence a clinical decision, or constrain execution?
AI generates intelligence, not standalone execution authority. AI outputs remain separate from professional and system authorization.
Professional role, credential, facility policy, task, patient context and jurisdiction are resolved separately from visibility and access.
A decision is not automatically an execution. Execution-critical actions can be revalidated against current authoritative state.
Rule version, context, authority, decision and execution are designed to remain distinguishable and traceable.
BestCura separates technical maturity from regulatory release state. This avoids conflating development, validation and market authorization.
No medical intended purpose is inferred merely because a function exists.
Patient impact, output, human review, jurisdiction and execution effect are evaluated.
A clinically relevant output requires the evidence and validation path appropriate to its intended purpose.
Qualification depends on final intended purpose, function, patient impact and applicable law.
Technical availability is not presented as regulatory authorization.
This status should be used only when the specific function and intended purpose have completed the required pathway.
For execution-critical workflows, BestCura is designed to resolve clinical state, context, applicable rules, authority and orders from authoritative server-side sources and revalidate them at the point of action.
Patient and order state, rule set and authority are not treated as trusted simply because a client submits them.
The executing actor is bound to authenticated system identity rather than a freely supplied client field.
Earlier authorization can become stale after a relevant state change. The execution point is therefore a distinct safety boundary.
Clinical thresholds belong in versioned, source-bound and approved rules. Unapproved clinical rules should not create a hard clinical block.
For medical device software, actual intended purpose is central. For AI components, AI Act classification is not inferred simply from a function being “critical”; product-law qualification and third-party conformity requirements must be considered first.