Data-driven approach for creating synthetic electronic medical records.
| Title | Data-driven approach for creating synthetic electronic medical records. |
| Publication Type | Journal Article |
| Year of Publication | 2010 |
| Authors | Buczak, AL, Babin, SM, Moniz, L |
| Journal | BMC medical informatics and decision making |
| Volume | 10 |
| Pagination | 59 |
| Date Published | 2010 |
| ISSN | 1472-6947 |
| Keywords | Algorithms, Child, Child, Preschool, Databases as Topic, Disease Outbreaks, Electronic Health Records, Humans, Information Storage and Retrieval, Models, Theoretical, Patient Care, Population Surveillance, Tularemia |
| Abstract | New algorithms for disease outbreak detection are being developed to take advantage of full electronic medical records (EMRs) that contain a wealth of patient information. However, due to privacy concerns, even anonymized EMRs cannot be shared among researchers, resulting in great difficulty in comparing the effectiveness of these algorithms. To bridge the gap between novel bio-surveillance algorithms operating on full EMRs and the lack of non-identifiable EMR data, a method for generating complete and synthetic EMRs was developed. |
| Alternate Journal | BMC Med Inform Decis Mak |