Name
Abstract | ||
|---|---|---|
•A methodology to extract insights from general practice healthcare process data.•Analysis of the largest real-life dataset containing 31+ million entries.•Approaches to solve improper timestamp granularity and unbounded process traces.•Detected a surge in influenza and pneumococcus vaccinations during the pandemic. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.jbi.2022.104081 | Journal of Biomedical Informatics |
Keywords | DocType | Volume |
Process mining,Data analysis,Healthcare processes,Vaccination,COVID19 | Journal | 130 |
ISSN | Citations | PageRank |
1532-0464 | 0 | 0.34 |
References | Authors | |
8 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adriano Augusto | 1 | 0 | 0.34 |
| Timothy Deitz | 2 | 0 | 0.34 |
| Noel Faux | 3 | 0 | 0.34 |
| Jo-Anne Manski-Nankervis | 4 | 0 | 0.34 |
| Daniel Capurro | 5 | 0 | 0.34 |