An Operations Management Approach for the Improvement of Cancer Care Delivery in Qatar: Predictive Models, Analysis, and Pathways Optimization for Patients with Hematological Malignancies.

Keyphrases

1. Predictive Models 100%
2. Patients with Hematological Malignancies 100%
3. Management Approach 100%
4. Model Optimization 100%
5. Cancer Care Delivery 100%
6. Pathway Optimization 100%
7. Blood Cancer 62%
8. Cancer Pathways 50%
9. Operations Management 50%
10. Hematological Cancer 50%
11. Oncology Patients 50%
12. Qatar 50%
13. Stochastic Simulation Optimization 50%
14. Prognostic Factors 50%
15. Chemotherapy Process 50%
16. Biological Factors 50%
17. Outpatient Chemotherapy 50%
18. Referral Process 50%
19. Bibliometric Mapping 50%
20. Healthcare Referral 50%
21. Referral Strategies 50%
22. Hematology 50%
23. Cancer Research 50%
24. Deep Machine Learning 50%
25. Artificial Intelligence Applications 50%
26. Hospital Preparedness 50%
27. Neutropenic Patients 50%
28. Single Center 50%
29. Clinical Complications 50%
30. Febrile Neutropenia 50%
31. Multidrug-resistant Organisms 50%
32. Bloodstream Infection 50%
33. Retrospective Observational Study 50%
34. Multi-objective Simulation 50%
35. Lymphoblastic Leukemia 50%
36. Machine Learning for Diagnosis 50%
37. Complete Blood Count 50%
38. Malignancy 37%
39. Machine Learning Learning 37%
40. Risk Prediction Model 25%
41. Engineering Decisions 25%
42. Epidemiological Cohort Studies 25%
43. Health Platform 25%
44. Care Pathway 25%
45. Computer Science 25%
46. Patient-level 25%
47. Machine Learning-based Approach 25%
48. Clinical Oncology 25%
49. National Center 25%
50. Quality of Cancer Care 25%
51. Symptomology 25%
52. Cancer Services 25%
53. Experience of Care 25%
54. Hospital Congestion 25%
55. Health Education 25%
56. Path Analysis 25%
57. Health Care Services 25%
58. Cancer Malignancy 25%
59. Diagnostic Haematology 25%
60. Healthcare Optimization 25%
61. Help-giving 25%
62. Structural Pathway 25%
63. High-quality Care 25%
64. Engineering Management Science 25%
65. Innovative Care 25%
66. Patient Experience 25%
67. Hematological Malignancies 25%
68. Deep Learning Methods 25%
69. Operations Management Research 21%
70. Cytogenetic Analysis 20%
71. Patient Journey 19%
72. Immediate Care 16%
73. Metastatic Cancer 16%
74. Antibiogram 14%
75. Artificial Intelligence Machine Learning 12%
76. Qatar National Vision 2030 12%
77. Khalifa 12%
78. Cancer Patients 12%
79. Decision Science 12%
80. National Health Strategy 12%
81. Early Detection 12%
82. System Level 12%
83. Cancer Treatment 12%
84. Cancer Care 12%
85. Knowledge Domain 12%
86. Pathways to Treatment 12%
87. Screening Diagnosis 12%
88. Diagnosis Stage 12%
89. Treatment Prospects 12%
90. Oncologic 12%
91. Treatment Stage 12%
92. Limited Treatment 12%
93. Web of Science 12%
94. Cancer Stage 12%
95. Patient Symptoms 12%
96. Deep Learning Applications 12%
97. Advanced Stage 12%
98. Predictive Medicine 12%
99. Early Symptoms 12%
100. Inclusion Criteria 12%
101. Artificial Intelligence 12%
102. Scopus 12%
103. Prediction Rate 12%
104. XGBoost Algorithm 12%
105. Model Scoring 12%
106. Multiple Infections 12%
107. Community Outbreaks 12%
108. Leukemia Detection 12%
109. XGBoost Tree 12%
110. Random Decision Trees 12%
111. Model Complete 12%
112. Immune Dysfunction 12%
113. Statistical Inference 12%
114. Quadratic Discriminant Analysis 12%
115. Leukemia Diagnosis 12%
116. Curative Intent 10%
117. Favorable Risk 10%
118. Prognosis Assessment 10%
119. Unfavorable Risk 10%
120. Median Overall Survival 10%
121. Survival Outcomes 10%
122. Leukemia Risk 10%
123. Leukemia Therapy 10%
124. White Blood Cell Count 10%
125. Prognostic Survival 10%
126. Abnormal Karyotype 10%
127. Complete Remission 10%
128. Cytogenetic Profile 10%
129. Intermediate-risk Group 10%
130. Process Decision 8%
131. Discrete Simulation 7%
132. Stochastic Durations 7%
133. Co-occurrence Patterns 7%
134. Patient Assignment 7%
135. Cancer Evolution 7%
136. Evolutionary Path 7%
137. Complex Patients 7%
138. Available Capacity 7%
139. Cluster Optimization 7%
140. Stochastic Choice 7%
141. Acuity Level 7%
142. Uncertain Events 7%
143. Simulation-based multi-objective Optimization 7%
144. Length of Stay 7%
145. Comprehensive Decision-making 7%
146. Historical Analysis 7%
147. Data Mining Tools 7%
148. Bibliometric Data 7%
149. Quantitative Tools 7%
150. Bibliographic Records 7%
151. Outpatient Services 7%
152. Main Direction 7%
153. Scientific Databases 7%
154. Number of Outpatients 7%
155. Quantitative Optimization 7%
156. Narrow Scope 7%
157. Sequential Approach 7%
158. Drug Preparation 7%
159. Patient Arrivals 7%
160. Cephalosporins 7%
161. Extended-spectrum β-lactamase 7%
162. Klebsiella Species 7%
163. Enterobacteriaceae 7%
164. Morbidity Burden 7%
165. Piperacillin-tazobactam 7%
166. Empiric Antibiotics 7%
167. Septic Shock 7%
168. Carbapenem Resistance 7%
169. Septicemia 7%
170. Bacterial Bloodstream Infection 7%
171. Healthcare-associated Infections 7%
172. Antimicrobial Stewardship 7%
173. Microbiological Data 7%
174. Intellectual Structure 6%
175. New Homes 6%
176. Structural Overview 6%
177. Care Program 6%
178. Health-promoting Lifestyle 6%