Smartwatch and ring data could help AI predict Post-Surgery hospital readmissions
NCT ID NCT07349901
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is testing whether artificial intelligence can predict hospital readmissions in surgical patients by analyzing data from smartwatches and smart rings. About 300 adults undergoing elective surgery will wear these devices before and after their operation, tracking heart rate, sleep, and other health signals. The goal is to see if AI can catch early warning signs of complications that doctors might miss, potentially leading to safer recoveries.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could give doctors a new tool to spot early signs of trouble after surgery, potentially reducing complications and readmissions.
- What could go wrong
- This is an early-stage observational study, not a treatment trial. The AI models may not prove accurate enough for real-world use, and results may not apply to other hospitals or patient groups.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 300 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Mar 2026
- Expected to finish
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Jun 2028
An estimate. End dates often move.
- Lead sponsor
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A government agency
The lead sponsor is a government body.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
The study population will consist of adult patients scheduled for medium- and large-scale elective surgeries at the Hospital Universitário Getúlio Vargas, a tertiary referral center in Amazonas. Patients are initially evaluated at the affiliated outpatient clinic, Ambulatório Araújo Lima. Eligible individuals will be invited to participate during preoperative consultations with the attending surgeon, approximately 15 days before hospital admission. Study procedures, information delivery, and informed consent will be conducted by the surgical specialists responsible for outpatient care.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Adults over 18 years of age; * Hospitalization for medium and/or large elective surgery at HUGV; * Conscious and oriented patients who have sufficient understanding to answer questionnaires and use wearable devices for the study; * Have minimal skills in the use of wearable technologies; * Patients who have agreed to participate voluntarily in the research by signing the Informed Consent Form (ICF). Non-inclusion Criteria: * Presence of tattoos or any other skin condition (skin pathologies or skin diseases such as vitiligo, lupus, and atopic dermatitis, among others) that affects the area of the wrist or finger where the wearable sensors are located; * Presence of any type of sensitivity or allergic reaction, of any degree, to the materials of the wearables (smartwatch and smartring); * Pregnant and lactating women; * Participants with implantable cardiac devices, such as pacemakers, cardioverter defibrillators, and resynchronization devices; * Participants in drugs abuse; Exclusion Criteria: * Severe medical conditions and decompensations prior to surgery; * Patients who die before hospital discharge; * Patients with an expected postoperative hospital stay of more than 10 days.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Getúlio Vargas University Hospital
RECRUITINGManaus, Amazonas, 69020-170, Brazil
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