Name
Abstract | ||
|---|---|---|
Patient healthcare trajectory is a recent emergent topic in the literature, encompassing broad concepts. However, the rationale for studying patients’ trajectories, and how this trajectory concept is defined remains a public health challenge. Our research was focused on patients’ trajectories based on disease management and care, while also considering medico-economic aspects of the associated management. We illustrated this concept with an example: a myocardial infarction (MI) occurring in a patient’s hospital trajectory of care. The patient follow-up was traced via the prospective payment system. We applied a semi-automatic text mining process to conduct a comprehensive review of patient healthcare trajectory studies. This review investigated how the concept of trajectory is defined, studied and what it achieves. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s13755-017-0020-2 | health information science |
Keywords | Field | DocType |
Systematic reviews, Text mining, Healthcare trajectory, PPS, Semi-automated, Word cloud | Health care,Public health,Data science,Systematic review,Prospective payment system,Tag cloud,Medical emergency,Medicine,Trajectory,Disease management | Journal |
Volume | Issue | ISSN |
5 | 1 | 2047-2501 |
Citations | PageRank | References |
1 | 0.35 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jessica Pinaire | 1 | 1 | 0.35 |
| Jérome Aze | 2 | 1 | 1.37 |
| Sandra Bringay | 3 | 183 | 34.40 |
| Paul Landais | 4 | 1 | 0.69 |