Family History in a Singapore Oncology Population

NCT04639934 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 102

Last updated 2025-02-10

No results posted yet for this study

Summary

This study will create a Breast Cancer Clinical Decision Support Module in MeTree and validate and pilot the Breast Cancer Clinical Decision Support Module in a clinical setting within SingHealth. This proposal leverages the larger collaborative work already started to explore clinically meaningful applications of MeTree within SingHealth. While MeTree has been shown to be clinically effective within primary care clinics in the U.S., SingHealth's oncologists are interested in leveraging MeTree's risk assessment features both to establish a more organized, standardized, and systematic process for collecting information to enhance cancer management and to maximize the advances in precision medicine for the benefit of cancer patients. Therefore, in collaboration with SingHealth oncologist Dr.Ngeow, the principal investigators propose to explore, develop, and pilot a prototype MeTree cancer module.

Conditions

Interventions

GENETIC

MeTree

Software program collecting family health history and generating clinical decision support for risk-based preventive care

Sponsors & Collaborators

Principal Investigators

  • Lori A Orlando, MD MPH · Duke University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-01-07
Primary Completion
2019-08-31
Completion
2019-08-31

Countries

  • Singapore

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04639934 on ClinicalTrials.gov