ClinicalTrials.gov
public full text
Public Domain
Intervention Protocol for Automated Point-of-Care Surveillance of Outpatient Delays in Cancer Diagnosis
Many missed and delayed cancer diagnoses result from breakdowns in communication and coordination of abnormal findings suspicious for cancer, which often first emerge in the primary care setting. Delays in the follow-up of abnormal test results persist despite the reliable delivery of test results through the electronic health record. This intervention is the final study in a three-phase project that will develop and test an innovative automated surveillance intervention to improve timely diagnosis and follow-up of five common cancers in primary care practice. The investigators hypothesize that the median time in days from diagnostic clue to follow-up action (e.g. time to colonoscopy examination after am abnormal colon-related test) will be significantly less in the intervention arm than in usual care. The investigators also hypothesize that the proportion of patients receiving appropriate and timely follow-up care will be significantly higher in the intervention arm than in usual care.
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
- Smartphone-enabled Hybrid Identification of Early CoLorectal Disease Using Blood-Based Cancer Testing Across TeXas#968744
- Computer-Assisted Colonoscopy in High-Adenoma Detection Rate Settings in a High-Risk Population: A Randomized Clinical Trial.#25692
- Smart Phone App for COLOnoscopic PREParation#1111597
- A Pilot Randomized Trial of a Comprehensive Transitional Care Program for Colorectal Cancer Patients#834275
- The Use of Remote Monitoring to Improve Patient-Reported Outcomes and Readmission Rates Following Radical Cystectomy#807428
Record · ID 1114426
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