EpiCURA Tests AI Voice Assistant HelloJADE for Post-Hospital Patient Follow-Up

In Plain English: The Clinical Takeaway

• Adaptive Questioning: The artificial intelligence adjusts follow-up questions based on patient responses, generating a clinical summary report.
• Immediate Escalation: The system automatically flags potential complications and alerts healthcare professionals to intervene when necessary.

Automating Post-Discharge Follow-Up at Ath

As hospital stays grow shorter, monitoring patients after they return home has become an increasingly critical part of clinical care. Telephone check-ups conducted one to three days after specific interventions allow medical teams to track recovery progress, answer patient inquiries, and spot early warning signs of complications. However, these routine calls create a substantial workload for nursing and medical staff who face heavy daily workloads.

To ease this pressure, EpiCURA is launching a pilot trial of HelloJADE at the day hospital unit in Ath. Developed specifically for healthcare institutions, the telephone-based voice assistant calls discharged patients automatically to conduct structured interviews. The conversation relies on a clinical questionnaire designed by EpiCURA’s own care teams. Utilizing artificial intelligence, the tool dynamically adapts its line of questioning according to each patient’s verbal answers.

Priority Alerts Streamline Clinical Focus

If a patient reports symptoms or answers that point toward a potential complication or an abnormal recovery trajectory, the platform generates an immediate priority alert. This notification goes directly to the healthcare team, allowing clinicians to take over the case promptly.

According to EpiCURA, the system is not intended to replace human contact between patients and providers. Instead, it aims to streamline routine check-ins so that clinical staff can direct their focus toward patients who require specialized attention. The hospital network emphasizes that the platform complies fully with the General Data Protection Regulation (GDPR). Patient exchanges are secured, and the software integrates directly into existing hospital information technology architectures via interoperability standards to maintain complete medical traceability.

System Feature	Operational Parameter	Regulatory Standard
Timing of Initial Outreach	Approximately 24 hours post-discharge (J+1)	Internal clinical workflow protocol
Data Security Framework	Secured exchange with hospital IT integration	GDPR compliant with interoperability standards
Escalation Mechanism	Automated priority alerts sent to care teams	EpiCURA clinical triage guidelines

Pilot Evaluation and Deployment Objectives

The initial rollout at the Ath day hospital functions as a controlled trial to measure several operational metrics. EpiCURA will evaluate the clinical relevance of the questionnaires, measure patient experience, analyze workflow impacts on nursing teams, and assess the quality of the generated alerts. Feedback gathered from the professionals concerned during this testing phase will guide necessary adjustments before any broader implementation across the establishment.

Evaluation Metric	Focus Area	Target Outcome
Questionnaire Relevance	Clinical accuracy of prompts	Effective symptom capture
Team Organization	Staff workload distribution	Reduction in routine call burden
Alert Quality	Precision of complication detection	Timely clinical intervention

References

• Le Spécialiste.
• EpiCURA.