ClinicalTrials.gov
public full text
Public Domain
Formulating Expert Consensus Guidelines in Cancer Care Using the Delphi Method
This study formulates consensus agreement on clinical key elements related to prostate cancer care that are critical for standardization and global reported using a robust Delphi technique, completely remote and electronic. The goal of this survey study is to have a panel of specialty-specific experts create a consensus agreement on a minimum set of key data elements for use in standardized reports. These recommendations would be used to develop standardized methods to report key data in electronic health records to better manage cancer patients at time of diagnosis, treatment, follow up, and into survivorship.
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
- Multi-Institutional Registry for Prostate Cancer Radiosurgery#1088519
- Barriers and facilitators to the implementation and use of computerized clinical decision support systems for predicting and managing in-patient clinical deterioration: a systematic review of qualitative research#140169
- Barriers and facilitators to the implementation and use of computerized clinical decision support systems for predicting and managing in-patient clinical deterioration: a systematic review of qualitative research.#136094
- A Hybrid Rule-Based and Machine Learning-Based Clinical Decision Support System to Support Prescription Review: Development and External Validation Study.#1080604
- Artificial Intelligence & Prostate Cancer#918340
Record · ID 980970
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