Frank Rademakers
Biographic Data
| ID | 10857458 |
|---|---|
| NAME | Frank Rademakers |
| GIVEN NAMES | Frank |
| FAMILY NAME | Rademakers |
| SIGNATURE | RADEMAKERS F |
| AFFILIATIONS | KU Leuven |
| ORCID | 0000-0002-7786-4179 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Translating Data From an Electronic Prescribing and Medicines Administration System Into Knowledge
BACKGROUND: Electronic Prescribing and Medicines Administration (EPMA) systems are being widely implemented to facilitate medication safety improvement. However, translating the resulting big data into actionable knowledge has received relatively little attention. OBJECTIVE: The objective of this study was to use routinely collected EPMA data in the study of exact time discrepancy between physicians' order and nurses' administration of systemic a…
Reallocation of Operating Room Capacity Using the Due-time Model
BACKGROUND: Demand for surgical treatment is rising while operating room (OR) resources are limited. Requests for more resources therefore can only be partly met by repartitioning the existing sparse resources. OBJECTIVE: Our goal is to define a method to allocate OR block times among surgical disciplines in such a way that patients can be treated within an acceptable time after the need for surgery is established. In this paper, we introduce and…
No prominent works on this page.
Reallocation of Operating Room Capacity Using the Due-time Model
BACKGROUND: Demand for surgical treatment is rising while operating room (OR) resources are limited. Requests for more resources therefore can only be partly met by repartitioning the existing sparse resources. OBJECTIVE: Our goal is to define a method to allocate OR block times among surgical disciplines in such a way that patients can be treated within an acceptable time after the need for surgery is established. In this paper, we introduce and…
Translating Data From an Electronic Prescribing and Medicines Administration System Into Knowledge
BACKGROUND: Electronic Prescribing and Medicines Administration (EPMA) systems are being widely implemented to facilitate medication safety improvement. However, translating the resulting big data into actionable knowledge has received relatively little attention. OBJECTIVE: The objective of this study was to use routinely collected EPMA data in the study of exact time discrepancy between physicians' order and nurses' administration of systemic a…
Administration (probate law) (1 work) · Advanced Queuing Theory Analysis (1 work) · Antibiotic Use and Resistance (1 work) · Business (1 work) · Computer Science (1 work) · Electronic Health Records Systems (1 work) · Emergency Medicine (1 work) · Emergency Medicine (1 work) · Environmental Science (1 work) · Family medicine (1 work)