How to Evaluate IntelliSist AI: A Hospital Demo Checklist

A useful IntelliSist AI demo should show how a clinical task moves from the first information entered to the final decision approved by a doctor. A feature presentation can introduce the product, but a hospital needs to understand the workflow, the limits and the responsibilities before choosing a deployment.

This checklist is for hospital managers, clinicians and IT teams evaluating IntelliSist software in Pakistan. It sets out questions to ask during a demonstration. It is not a claim that every installation includes every control or integration described below.

Start with one clinical workflow

Choose a realistic task before the demonstration begins. An outpatient consultation is a useful starting point: a clinician records a history, reviews available information, considers the next steps and approves the record. Use fictional demonstration data throughout.

The IntelliSist clinical intelligence overview describes documentation, decision support and connected workflows. During a demo, ask the presenter to identify which capabilities are included in the version being shown and which require a separate integration or configuration.

A clear demonstration should make it easy to distinguish information supplied by a clinician from text generated by software. It should also show who reviews the output before it becomes part of the clinical record.

Check the note before discussing speed

Ask to see a draft note, an edit and the final reviewed version. Consider whether the record separates the patient's account, examination findings and the clinician's assessment. A polished summary is useful only when its meaning remains faithful to the source information.

Include a deliberate correction in the example. Can the clinician amend a misunderstood phrase, incomplete history or incorrect measurement? Ask how the correction is stored and whether authorised colleagues can identify the current version.

D-Right's AI medical documentation page explains the intended role of voice-to-clinical notes. A hospital evaluation should go further by testing the languages, clinical vocabulary and review steps relevant to its own team.

Ask what happens when a prompt needs judgement

Clinical decision support should fit the clinician's review process. Ask the presenter to show an example prompt and explain its purpose, the information behind it and the action expected from the user. Avoid evaluating a system only through examples where its output appears correct.

A practical discussion includes incomplete records, unavailable results and a suggestion that does not fit the situation. Ask how a clinician records a different decision and how significant concerns are escalated under local policy.

The clinical decision support guide provides background on this distinction. A prompt supports professional assessment; it does not establish a diagnosis or authorise treatment on its own.

Make integration requirements specific

Ask which system owns each piece of information. Where does the patient identifier originate? Which system stores the approved note? When a laboratory result changes, how does the clinical application receive the update? These questions turn a broad integration promise into a scope the hospital can assess.

Request a written list of interfaces, prerequisites and responsibilities. The list should distinguish existing connections from development work and should identify who will test each exchange. An API being available does not by itself confirm that two systems are compatible.

Use the hospital ERP and EMR integration guide to frame the discussion with both the hospital's IT team and its existing software provider.

Include access, privacy and downtime

Ask the team to explain which roles may view, edit and approve records. Discuss access reviews, correction history, retention arrangements and any external processing relevant to the proposed installation. Request documentation rather than assuming these controls from the appearance of the interface.

The demonstration should also cover an interruption. Agree how clinicians continue their work if connectivity or a service is unavailable, and how information is reconciled when normal operation returns. A written fallback process matters as much as the normal screen flow.

Agree what a limited pilot will measure

A hospital can define a small pilot before considering wider adoption. Select an appropriate team, an agreed period and clear responsibilities for reporting problems. Decide who can pause the pilot and what must be resolved before expansion.

• Review whether notes preserve clinically important meaning.
• Record the types of corrections clinicians make.
• Check whether prompts are understandable and relevant to the task.
• Track workflow interruptions and requests for support.
• Collect feedback from the people who review and use the records.

These are evaluation suggestions, not published performance results for IntelliSist. Set a baseline where possible and avoid presenting a small local pilot as proof of broader clinical outcomes.

Bring the right people to the conversation

A product discussion is more useful when a clinician, an operational lead and an IT representative can review the same workflow. Each will see different requirements, from wording in a note to user permissions and data exchange.

To arrange an IntelliSist demonstration with D-Right Technologies, share your organisation type, current software and the workflow you want to assess. Use fictional examples during the initial discussion. Confirm the proposed scope, training and support in writing before implementation.

Featured image: conceptual illustration, not a screenshot of the deployed software.