Exploring a Mechanism Toward Automated Feedback for Cancer Patient Self-Reporting.
Stud Health Technol Inform
; 310: 539-543, 2024 Jan 25.
Article
in En
| MEDLINE
| ID: mdl-38269867
ABSTRACT
"Infobuttons" spearheaded electronic health records (EHR) based decision support by offering automated knowledge resources to physicians. However, how such a mechanism could be leveraged to provide optimal resources to patients remains unanswered. Informatics approaches are expected to utilize more relevant information beyond EHR, such as patient-reported outcomes, to support clinical decisions. This pilot study is intended to explore how patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE) in EHR can be incorporated and how to recommend tailored content to cancer patients via automated feedback.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Electronic Health Records
/
Neoplasms
Type of study:
Prognostic_studies
Aspects:
Patient_preference
Limits:
Humans
Language:
En
Journal:
Stud Health Technol Inform
Journal subject:
INFORMATICA MEDICA
/
PESQUISA EM SERVICOS DE SAUDE
Year:
2024
Document type:
Article
Affiliation country:
United States
Country of publication:
Netherlands