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How is it different?

Curious how it works?

asksam does all that and more

01

Operates in a closed-source architecture

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Integrates notes into a holistic case file

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Provides patient specific outputs

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Provides medically derived suggestions admin

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Processes all types of medical documentation

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Acts as your medical encyclopedia

Accesses trusted medical literature

Clinicians can asksam anything and as the platform is trained on medical literature within a closed-source environment, the platform can act as an on-demand encyclopaedia drawing from reputable medical literature without the risk of hallucination from the open-source internet.

In the premium tier, asksam also offers a Health AI Education Program that helps clinicians build digital literacy and understand how to safely incorporate AI tools into clinical workflows.

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Provides patient specific outputs

asksam tailors summaries, letters, and explanations to reflect the patient’s specific medical history, demographics, and clinical needs.

As asksam operates in a closed-source environment there is no need to de-identify patient data, meaning reports and insights are specific to the patient not at a population level.

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Provides medically derived suggestions

asksam processes all documentation loaded by the clinician and uses its Clinical Knowledge Graph to investigate all known medical associations to provide suggestions based on medical literature for the clinician to consider in their clinical decision making.

These notifications are designed purely to support administrative workflow and reduce cognitive load. They do not assess patient risk, monitor clinical parameters, or generate independent medical recommendations. 

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Processes all types of medical data

asksam processes clinical documentation across PDF and Word Documents, pathology results, imaging summaries, and medication histories within the patient’s context.

Instead, asksam helps present information more clearly and coherently to support documentation workflows. It does not analyse or interpret medical data for diagnostic, predictive, or monitoring purpose.

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Operates in a closed-sourced architecture

asksam is built as a fully closed-source clinical AI system, ensuring every component is tightly controlled, verified, and secured. This architecture prevents external data access, training leakage, or exposure to open internet sources.

All patient information stays within the clinical environment, protected by strict privacy and compliance guardrails. The result is a trusted, healthcare-exclusive AI platform clinicians can rely on.

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Integrates notes into a holistic case file

asksam captures each consultation and automatically organises it into a structured, longitudinal case file. Notes, letters, templates, and follow-up plans are connected to the patient’s history, giving clinicians a complete view of their care.

This allows consistent documentation across episodes avoiding fragmented notes and the need to manually add context.

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