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Developing Models for Fatigue Monitoring in Obstetrics and Gyne- Cology Residents Using Wearables

Developing Models for Fatigue Monitoring in Obstetrics and Gyne- Cology Residents Using Wearables

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03354871
Acronym
IoT4Resident
Enrollment
6
Registered
2017-11-28
Start date
2017-11-30
Completion date
2018-02-28
Last updated
2017-11-28

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

Conditions

Fatigue

Brief summary

This study is set out to observe heart-rate and related bio-metric indicators in Obstetrics and Gynecology residents during their duty hours, together with self-reporting of fatigue and tasks performances, in order to model possible relationships between the two.

Detailed description

There are vast evidences of the harmful consequences of fatigue in medical residents, consequently, leading to poor task performances and in some cases may cause injury to the patients. Medically, fatigue is a non-specific symptom, which means that it has many possible causes and accompanies many different conditions. Elevated fatigue is an indication that a person may not be fit-to-task (i.e., task efficacy).The investigators main goal is to use readily available body-worn sensors, such as an activity wrist-band, to continuously monitor for fatigue as a possible antecedent to predictions of task-efficacy in the area of Obstetrics and Gynecology. This study is anchored in prior research which established basic models that correlate between heart-rate variability (HRV) and fatigue. Specific to this study, the investigators would like to further establish the validity of such models at the individual level, also with the perspective of fatigue as an early predictor of task performance related to practices in Obstetrics and Gynecology. The investigators aim is to extend HRV based models with additional personal measures (e.g., age, weight, activity level), possibly with the extraction of additional data-driven features, to improve model accuracy at the individual level. The investigators will also try to find relationships between such measurements and task effectiveness via the gathering of self-reports regarding on-the-job task performances.

Interventions

None listed

Sponsors

International Business Machines (IBM)
CollaboratorINDUSTRY
Hillel Yaffe Medical Center
Lead SponsorOTHER_GOV

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
Yes

Inclusion criteria

* Participants will be chosen from the obstetrics and gynecology department in the Hillel Yaffe medical center.

Exclusion criteria

* Chronic fatigue syndrome * Pregnancy

Design outcomes

Primary

MeasureTime frameDescription
Fatigue determination model.Through study completion, an average of 1 year.A model for detecting abnormal fatigue alert.

Secondary

MeasureTime frameDescription
Fatigue based fit-to-task model.Through study completion, an average of 1 year.Model for estimation of for seen task performance.

Countries

Israel

Contacts

Primary ContactOfer Limonad, M.D
oferlimonad@gmail.com00972525322972
Backup ContactMordechai Hallak, M.D
MottiH@hy.health.gov.il

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026