ClinicalTrials.gov
public full text
Public Domain
Sensitivity and Specificity of the Clinical Classifications Generated by the Cureety Digital Telemonitoring Tool
Cureety is a digital telemonitoring platform specifically designed to monitor cancer patients through self-reporting of adverse events, accompany patients and their medical teams and complement existing healthcare practices. The platform aims to detect signs and symptoms of health deterioration and disease progression, allowing the medical team to intervene earlier than usual compared to conventional care. The patients are asked to respond to an electronic patient-reported outcome (ePRO) questionnaire. The digital tool is configured for each patient that generates specific questions that allow grading of adverse events relevant to their specific treatment and disease profile. At the core of the platform is the medical device "Cureety TechCare", an algorithm that outputs a "clinical classification" based on the adverse events reported by the patients. There are four levels that correspond to the patients' health states, either "critical" ("red"), "to be monitored" ("orange"), "compromised" ("yellow"), or "correct" ("green"). In the case of a red or orange classification, the patients are asked to contact their medical team. In addition, the medical team can monitor the patient classifications from a distance including receiving notifications when patients are classified red and orange. The present study was designed to retrospectively evaluate the performance of the "Cureety TechCare" medical device in real-life using data collected in the Cureety database.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Chemokeyp: A Feasibility Study for Realtime Safety Data-Capture for Potential Serious Adverse Drug Events#826322
- Development and Testing of a TTDSS for Cancer Patients#898248
- Remote Digital Physiologic Data Collection in Cancer: An MSK Registry Protocol#1164927
- Symptom Tracking for Patient-Reported Outcomes in Cancer: User-Centered Design of the AthenaCompanion Web Application.#436836
- Patient Perspectives on Electronic Communication of Cancer Diagnoses.#315548
Record · ID 1172250
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive