Active Listening in Healthcare - AI Roleplay

The scenario and virtual patient in this Active Listening in Healthcare roleplay can be customised in BSGO for a unique and personalised experience:

• Learner role – what healthcare profession will the learner roleplay in this conversation?
• Patient avatar – choose between Florence and Brandon to match your scenario
• Medical history – establish the AI patient’s wider care needs
• Patient’s current concern – to give the conversation a focus and direction
• Patient’s personal background – to liven their personality!
• Patient’s current mood – how will the AI patient behave when the learner first talks to them?
• Transcript submission – you can toggle to choose if learners must submit their transcript for instructor review

Upon entering the simulator, learners will see the customised instructions in a text pop-up for guidance on what to expect and their goals during the conversation. Then, they’ll meet the virtual patient and practice putting their active listening skills into action.

The conversation flows back and forth with exchanges between the AI-powered virtual patient and the learner. After the AI patient shares their concern, the learner then has an opportunity to respond in their own words, then the patient replies, and so on. The patient’s responses dynamically adapt to progress the conversation based on the learner’s input.

If the learner navigates the conversation with a keen ear and thoughtful answers, they’ll elicit positive responses from the patient and constructively progress the conversation, eventually reaching a stage where the patient feels heard, their worries ease, and they’re open to the learner’s advice.

Oppositely, giving judgemental, dismissive, or self-centred responses may devolve the conversation into hurt feelings and resistance from the patient, before they eventually withdraw from speaking openly to the learner any further.

Once the conversation comes to a natural conclusion, the learner can view AI-powered, personalised feedback on their performance and use of fundamental active listening skills. 

When the learner’s conversation with the AI patient concludes, a pop-up panel offers LLM-generated insight about their active listening skills. Short text summaries explain where they excelled and where they could improve in future, using examples from their transcript. 

Learner performance is measured based on these key verbal and non-verbal active listening skills: 

• Paraphrasing and summarising – reflecting back what the patient shared with them to demonstrate understanding.
• Empathy – using empathetic and validating statements that show caring and recognition of the patient’s emotions.
• Open questions and clarification – seeking to open up the conversation and gain a better grasp of the patient’s wants and needs.
• Eye contact – making frequent, but not excessive, eye contact to convey engagement and empathy.
• Body language – adopting a relaxed, open posture that creates a calm and welcoming aura. 

The learner can also view the full conversation transcript in this pop-up panel, for further self-reflection of where they excelled and where they went wrong.