ClinicalTrials.gov
public full text
Public Domain
The Cascade Feasibility Pilot (Ileostomy)
Existing interventions including improving communication and self-care to improve readmission of patients undergoing high risk colorectal surgery involving new ileostomy formation has shown limited results. Our proposal is to deploy a wearable solution that predicts physiological perturbation with continuous remote patient monitoring and advanced machine learning algorithms which will be connected to structured, cascading, escalation pathways and care coordination involving home health nurses, colorectal and ostomy nurses, and colorectal surgeons, and has the potential to transform surgical management in the post-discharge period, where patients are the most vulnerable for readmission. This feasibility study will contribute to the understanding of post-discharge continuous remote monitoring of ileostomy patients, promote patient self-care, and has the potential of improving patient outcomes.
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
- TOD-IBD: Empowering Patients On-Demand#867078
- Machine learning for predicting emergency department visits in patients with type 2 diabetes: A real-world, multi-institutional study.#358496
- Machine learning for predicting emergency department visits in patients with type 2 diabetes: A real-world, multi-institutional study#355236
- Early Prediction of Postoperative Urinary Retention After General Anesthesia Using Explainable Machine Learning.#1107495
- Reducing VA No-Shows: Evaluation of Predictive Overbooking Applied to Colonoscopy#910837
Record · ID 884430
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