The problem: High-risk days go unmonitored

The post-discharge risk window

Across patient populations, 5 to 15% of patients are readmitted within 30 days of discharge. Retrospective analyses consistently suggest that 30 to 50% of these readmissions are potentially preventable, often related to:

• Delayed recognition of clinical deterioration
• Medication-related issues
• Gaps in post-discharge support and monitoring
• Incomplete patient understanding of warning signs

Why current approaches fall short

High-touch follow-up models like hospital-in-the-home are effective but resource-intensive. They reach only 3 to 7% of discharges. The majority of patients receive little or no structured follow-up once they leave hospital.

In the absence of reliable monitoring at home, clinicians must manage risk conservatively:

• Patients may remain in hospital longer than medically necessary
• Bed capacity is consumed during the highest-risk recovery period
• Hospital throughput is limited by conservative discharge practices

The gap in the system

What's missing is a scalable baseline layer of follow-up that routinely checks in with discharged patients, provides guidance, and identifies early deterioration before it escalates to emergency presentation or readmission.

This layer must be:

• Low-burden for patients—simple enough for daily completion
• Scalable for clinical teams—not requiring 1:1 phone follow-up
• Transparent in escalation logic—clinicians must trust and understand the system
• Integrated with existing workflows—not a separate system to monitor

The opportunity

By establishing a reliable channel between discharged patients and clinical teams, hospitals can:

• Identify deterioration earlier, when intervention is less costly
• Discharge patients confidently when medically ready
• Free bed capacity without compromising safety
• Generate outcome data to demonstrate quality improvement