Improve Patient Experience

Harnessing Real-Time Data from RTLS Platform, Camera, & Smartphones to enhance Patient Experience

Real-time patient tracking and notification system significantly improve patient experience. We possess the capability to accurately count and report total number of patients awaiting consultation with a physician or admission to the facility. This functionality enables hospitals to effectively allocate personnel, thereby enhancing the overall patient experience.

# of Patient's waiting

Self-Service Kiosk

Self-service kiosk significantly enhance the patient experience in hospitals by:

 

  • Reduce Wait Times: Patients can quickly check in and update their information, reducing wait times at the reception desk.
  • Improve Efficiency: Kiosks can handle routine tasks, freeing up staff to focus on more complex or personalized interactions.
  • Provide Convenience: Patients can access services at their own pace, without having to wait for a staff member.
  • Enhance Patient Autonomy: Kiosk empower patients to take control of their healthcare experience.
  • Reduce Errors: Kiosk help reduce errors in patient data entry.

Click to Learn about our technology

Kiosk available from 3rd party vendors

Mobile App

Artificial Intelligence (AI)

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AI depends on LLMs (Large Language Models), for predictive analytics. Healthcare providers can deliver more personalized, effective, and efficient care to their patients when leveraging this technology.

  • Recommendation System: LLM are applied to analyze patient records and generate tailored recommendations and treatment plans. These models leverage natural language processing (NLP) techniques to understand and interpret complex medical information. 
     
  • Predictive Analytics: LLMs generates predictive analytics to identify patients at risk for complications or readmissions. 
    - Risk Assessment: LLMs analyze patient data to identify patterns associated with increased risk for complications or readmissions.
    - Risk Stratification: Patients are stratified into different risk categories based on their predicted likelihood of experiencing adverse events.
    - Early Intervention: By identifying patients at high risk, healthcare providers can implement early interventions to prevent complications and improve outcomes.
     
  • Virtual Assistants: AI-powered virtual assistants can answer patient questions, provide information, and even assist with tasks like scheduling appointments.

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