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Artificial Intelligence Enhanced After-Discharge Care After Cardiothoracic Surgery

Evaluating the Usability and Efficacy of Artificial Intelligence Enhanced Post-Discharge Patient Care After Cardiothoracic Surgery

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12625001425482
Enrollment
500
Registered
2025-12-17
Start date
2026-02-01
Completion date
2026-10-31
Last updated
2026-01-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

This trial is comparing a software companion (Aescia) against routine care for patients discharged from heart or lung surgery. The software companion (on a smartphone) will ask daily questions about recovery. The answers to these questions will be used to triage patients and "red flag" any to clinicians who may be demonstrating signs of developing postoperative complications. The goal is to reduce unplanned readmissions after discharge, improve patient confidence in their recovery, and reduce hospital length of stay after the primary surgery.

Interventions

Aescia (the software) is a post discharge software companion for patients which will offer daily questions regarding their progress after Cardiothoracic surgery. For the trial the software will be hosted on a website with patients receiving a link to access the questions on a daily basis. For the finished product it will be an app downloaded from the App Store onto a smartphone. Patients will receive 5-10 questions on regarding their recovery, pain, and wound with check boxes, sliding scales, a

Aescia (the software) is a post discharge software companion for patients which will offer daily questions regarding their progress after Cardiothoracic surgery. For the trial the software will be hosted on a website with patients receiving a link to access the questions on a daily basis. For the finished product it will be an app downloaded from the App Store onto a smartphone. Patients will receive 5-10 questions on regarding their recovery, pain, and wound with check boxes, sliding scales, and free text answer options based on the type of question. These questions will take less than 5 minutes to answer and will be sent to patients for the first 30 days after discharge. It aims to enable early identification of patients who may be deteriorating or developing complications in the community to allow these to be treated prior to them requiring readmission. Any orange (medium) or red (high) flags are updated immediately on the base-station software monitored in hours by the departments clinical nurse specialists. These will then be escalated as required to physicians in the department. App analytics (% user engagement, % questions answered, %patients escalated, %app downtime), patient readmission rates, and patient surveys (at 30-days) will be used to assess engagement and potential user issues with the software intervention.

Sponsors

Aescia Pty Ltd
Lead SponsorCommercial sector/Industry

Study design

Allocation
Randomised controlled trial
Intervention model
Parallel
Primary purpose
Prevention
Masking
Open (masking not used)

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years
Healthy volunteers
No

Inclusion criteria

• Adult (greater or equal to 18yrs) inpatients in the cardiothoracic surgery service • Discharged home (with or without home care) • Smartphone with internet access (or family/caregiver proxy)

Exclusion criteria

• Cognitive impairment without support • Transfer to other medical facility for significant ongoing care (patients who are transferred to another facility to facilitate an easier discharge home - such as rural patients - will still be eligible) or palliative care trajectory

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026