For healthcare professionals

Analyze
patient feedback to improve the quality of care

Today, institutions collect a large volume of patient feedback: satisfaction questionnaires, e-satis, online reviews, field feedback.
But this data is often underutilized or analyzed too late.

Our platform automatically analyzes this feedback using artificial intelligence to identify pain points in the patient journey, understand expectations, and prioritize improvement actions within healthcare facilities.

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The challenges of patient experience

  • Numerous patient reviews, but difficult to analyze
    Between questionnaires, online reviews and internal feedback, institutions have a significant volume of information at their disposal.

    But in reality:
    ✓ The analyses are lengthy and manual.
    ✓ The results are difficult to use
    ✓ Some field problems go unnoticed.

    Our solution allows for the automatic analysis of this feedback to highlight weak signals, irritants, and priority patient expectations.
  • Identify the points of friction in the patient journey
    The patient journey is complex: admission, care, treatment, discharge.

    Each step can generate dissatisfaction:
    ✓ waiting time
    ✓ Quality of service
    ✓ Communication with staff
    ✓ organization of care.

    Our platform allows us to precisely identify where problems lie in the patient journey.
  • To truly utilize satisfaction surveys
    Global indicators are not sufficient to understand patient expectations.

    Semantic analysis allows us to:
    ✓ understand the causes of satisfaction or dissatisfaction
    ✓ Analyze the comments associated with the ratings
    ✓ Identify concrete areas for improvement.
Médecin échangeant avec un patient illustrant la collecte des avis et retours patients.
Tableau de bord d’analyse des données de santé avec intelligence artificielle.

Artificial intelligence at the service of healthcare facilities

Today, AI makes it possible to leverage patient feedback on a large scale and turn it into a genuine tool for continuous improvement.

  • Automatic analysis of patient comments
    AI automatically identifies:
    ✓ Key themes (reception, care, organization…)
    ✓ associated feelings
    ✓ Recurring topics.

    This gives the teams a clear and structured view of patient feedback.
  • Detection of irritants in the care pathway
    Our solution allows us to detect:
    ✓ organizational problems
    ✓ difficulties related to patient care
    ✓ the irritants in the overall experience.

    These insights allow for concrete improvements in the quality of care and the patient experience.
  • Prioritizing improvement actions
    Not all lifts have the same impact.
    AI can identify:
    ✓ The most frequent problems
    ✓ The most critical points for patients
    ✓ Priority areas for improvement.

Interface de questionnaire illustrant la collecte des retours patients.

Why healthcare professionals use our solution

Our platform allows healthcare facilities to:
✓ Automatically analyze patient feedback
✓ Quickly identify irritants in the care pathway
✓ improve service quality
✓ managing patient satisfaction
✓ to facilitate the work of the quality and patient experience teams.

This allows institutions to improve the quality of care while optimizing their internal processes.

Improve the patient experience in your facility

Let's discuss your needs to identify the most suitable solution.

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