How Aescia works

Overview

Aescia provides structured post-discharge monitoring through a three-part system: patient-facing check-ins, automatic risk classification, and a clinical worklist interface.

1. Daily patient check-ins

Patients complete brief daily questionnaires through the Aescia app. These questionnaires are:

• Tailored to the patient's procedure, diagnosis, and individual risk factors
• Brief—typically under 2 minutes to complete
• Structured—using validated symptom scales where available
• Scheduled—delivered at consistent times to establish routine

The questionnaires cover symptoms relevant to post-discharge deterioration, including pain, wound status, breathing, energy levels, and procedure-specific indicators.

The patient experience

From the patient's perspective, Aescia provides:

• A clear channel to report concerns to their clinical team
• Reassurance that their recovery is being monitored
• Immediate guidance for concerning symptoms
• Reduced anxiety about "bothering" the hospital with questions

Patients can add free-text notes and photos where clinically relevant. The app provides automatic acknowledgment of submissions and guidance based on response content.

2. Automatic risk classification

Patient responses are automatically classified into five urgency levels using rule-based, transparent thresholds:

The classification logic is:

• Rule-based—no opaque machine learning models
• Transparent—clinicians can see exactly why a patient was flagged
• Auditable—full logging of all classifications and the inputs that produced them
• Configurable—thresholds can be adjusted to local protocols

3. Prioritized clinical worklist

Rather than continuous alerts, clinical teams see a single prioritized worklist ordered by urgency. This design:

• Reduces alert fatigue by consolidating notifications
• Ensures highest-risk patients are always visible at the top
• Allows small clinical teams to oversee follow-up for large discharge cohorts
• Provides full context for each patient in a single view

The worklist shows patient history, trend data, and the specific responses that triggered elevation. Clinicians can take action directly from the interface—calling patients, scheduling follow-up, or escalating to specialist review.

Clinical integration

Aescia is designed to complement, not replace, existing clinical workflows:

• Not a replacement for clinical judgment—all outputs are advisory
• Integrates with existing escalation pathways—fits into hospital-in-the-home, outpatient, and nurse-led models
• Does not require new infrastructure—runs on standard mobile devices and web browsers
• Configurable to local protocols—adapts to institutional preferences

Technical architecture

The platform is built on:

• In-country data storage with encryption in transit and at rest
• Development following IEC 62304 medical device software lifecycle practices
• Compliance with ISO 27001 information security principles
• HIPAA-aligned data handling practices