Digital Images in Academic Plastic Surgery: A Novel and Secure Methodology for Use in Clinical Practice and Research.
content-based image retrieval
database
medical imaging
picture archiving
search engine
Journal
The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association
ISSN: 1545-1569
Titre abrégé: Cleft Palate Craniofac J
Pays: United States
ID NLM: 9102566
Informations de publication
Date de publication:
04 2019
04 2019
Historique:
pubmed:
12
7
2018
medline:
31
1
2020
entrez:
12
7
2018
Statut:
ppublish
Résumé
Digital photographs have become an integral part in plastic and reconstructive surgery. They are significant in clinical research and outcome evaluation. There is a need for effective and secure methods to store, search, and retrieve those photographs. We developed a Health Insurance Portability and Accountability Act compliant searchable database to archive and index clinical information for clinical and research purposes. At our craniofacial clinic, digital media (2-D, 3-D, and 4-D photographs) are obtained on a regular basis to evaluate and document treatment outcomes. In addition, patients are asked to enroll in our institutional review board (IRB)-approved imaging database. Daily, we link all digital photographs to the patient encounter through EPIC's Media Manager. This allows us to automatically identify and extract new digital media, patient demographics, diagnosis codes, relevant providers, and the text of the clinic notes to our digital database. To search our extensive database, we employed the VIEW search engine. To date, our database contains more than 277 000 images of 11 000 patients where more than 1900 patients are enrolled in the IRB study. This search engine allows full-text search with query response time between 2 and 5 seconds. The search engine displays the returned through a web page interface, which includes image thumbnails and the relevant part of the clinic note. In addition, a patient-specific chart allows the user to examine all patient notes and photographs. Our solution allows providers and researchers to retrieve all digital media securely and efficiently.
Sections du résumé
BACKGROUND
Digital photographs have become an integral part in plastic and reconstructive surgery. They are significant in clinical research and outcome evaluation. There is a need for effective and secure methods to store, search, and retrieve those photographs. We developed a Health Insurance Portability and Accountability Act compliant searchable database to archive and index clinical information for clinical and research purposes.
METHODS
At our craniofacial clinic, digital media (2-D, 3-D, and 4-D photographs) are obtained on a regular basis to evaluate and document treatment outcomes. In addition, patients are asked to enroll in our institutional review board (IRB)-approved imaging database. Daily, we link all digital photographs to the patient encounter through EPIC's Media Manager. This allows us to automatically identify and extract new digital media, patient demographics, diagnosis codes, relevant providers, and the text of the clinic notes to our digital database. To search our extensive database, we employed the VIEW search engine.
RESULTS
To date, our database contains more than 277 000 images of 11 000 patients where more than 1900 patients are enrolled in the IRB study. This search engine allows full-text search with query response time between 2 and 5 seconds. The search engine displays the returned through a web page interface, which includes image thumbnails and the relevant part of the clinic note. In addition, a patient-specific chart allows the user to examine all patient notes and photographs.
CONCLUSION
Our solution allows providers and researchers to retrieve all digital media securely and efficiently.
Identifiants
pubmed: 29995437
doi: 10.1177/1055665618787399
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM