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Artículos de revistas sobre el tema "Patient admission scheduling"

Autor: Grafiati

Publicado: 21 de diciembre de 2024

Última modificación: 31 de julio de 2025

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1

Zhang, Li Ming, Hui You Chang, and Rui Tian Xu. "The Patient Admission Scheduling of an Ophthalmic Hospital Using Genetic Algorithm." Advanced Materials Research 756-759 (September 2013): 1423–32. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1423.

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Currently, FCFS scheduling method is widely used in hospitals for patient admission scheduling, which ignores the impacts of patient length of stay and surgery arrangement on the usage of hospital resources. This paper proposes a more comprehensive mathematical model and evaluation mechanism for the patient admission scheduling of an ophthalmic hospital. A genetic algorithm (GA) is proposed to optimize the model, which can provide detailed scheduling of patient admission in the hospital for everyday. The result is compared with that of the traditional FCFS method, which indicates that the GA h

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2

Abu Doush, Iyad, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, et al. "Harmony Search Algorithm for Patient Admission Scheduling Problem." Journal of Intelligent Systems 29, no. 1 (2018): 540–53. http://dx.doi.org/10.1515/jisys-2018-0094.

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Abstract The patient admission scheduling (PAS) problem is an optimization problem in which we assign patients automatically to beds for a specific period of time while preserving their medical requirements and their preferences. In this paper, we present a novel solution to the PAS problem using the harmony search (HS) algorithm. We tailor the HS to solve the PAS problem by distributing patients to beds randomly in the harmony memory (HM) while respecting all hard constraints. The proposed algorithm uses five neighborhood strategies in the pitch adjustment stage. This technique helps in incre

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Abdalkareem, Zahraa A., Mohammed Azmi Al-Betar, Amiza Amir, Phaklen Ehkan, Abdelaziz I. Hammouri, and Omar H. Salman. "Discrete flower pollination algorithm for patient admission scheduling problem." Computers in Biology and Medicine 141 (February 2022): 105007. http://dx.doi.org/10.1016/j.compbiomed.2021.105007.

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4

Barz, Christiane, and Kumar Rajaram. "Elective Patient Admission and Scheduling under Multiple Resource Constraints." Production and Operations Management 24, no. 12 (2015): 1907–30. http://dx.doi.org/10.1111/poms.12395.

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5

Ashraf, Shahzaib, Noor Rehman, Saleem Abdullah, Bushra Batool, Mingwei Lin, and Muhammad Aslam. "Decision support model for the patient admission scheduling problem based on picture fuzzy aggregation information and TOPSIS methodology." Mathematical Biosciences and Engineering 19, no. 3 (2022): 3147–76. http://dx.doi.org/10.3934/mbe.2022146.

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<abstract><p>Health care systems around the world do not have sufficient medical services to immediately offer elective (e.g., scheduled or non-emergency) services to all patients. The goal of patient admission scheduling (PAS) as a complicated decision making issue is to allocate a group of patients to a limited number of resources such as rooms, time slots, and beds based on a set of preset restrictions such as illness severity, waiting time, and disease categories. This is a crucial issue with multi-criteria group decision making (MCGDM). In order to address this issue, we first

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6

Chaouch, Rihab, Jihene Tounsi, Issam Nouaouri, and Sabeur Elkosantini. "Mixed Integer Programming For Patient Admission Scheduling in Hospital Network." IFAC-PapersOnLine 58, no. 19 (2024): 259–64. http://dx.doi.org/10.1016/j.ifacol.2024.09.185.

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Ceschia, Sara, and Andrea Schaerf. "Dynamic patient admission scheduling with operating room constraints, flexible horizons, and patient delays." Journal of Scheduling 19, no. 4 (2014): 377–89. http://dx.doi.org/10.1007/s10951-014-0407-8.

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Bolaji, Asaju La’aro, Akeem Femi Bamigbola, and Peter Bamidele Shola. "Late acceptance hill climbing algorithm for solving patient admission scheduling problem." Knowledge-Based Systems 145 (April 2018): 197–206. http://dx.doi.org/10.1016/j.knosys.2018.01.017.

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9

Bastos, Leonardo S. L., Janaina F. Marchesi, Silvio Hamacher, and Julia L. Fleck. "A mixed integer programming approach to the patient admission scheduling problem." European Journal of Operational Research 273, no. 3 (2019): 831–40. http://dx.doi.org/10.1016/j.ejor.2018.09.003.

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Range, Troels Martin, Richard Martin Lusby, and Jesper Larsen. "A column generation approach for solving the patient admission scheduling problem." European Journal of Operational Research 235, no. 1 (2014): 252–64. http://dx.doi.org/10.1016/j.ejor.2013.10.050.

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11

Ceschia, Sara, and Andrea Schaerf. "Modeling and solving the dynamic patient admission scheduling problem under uncertainty." Artificial Intelligence in Medicine 56, no. 3 (2012): 199–205. http://dx.doi.org/10.1016/j.artmed.2012.09.001.

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12

Ceschia, Sara, and Andrea Schaerf. "Local search and lower bounds for the patient admission scheduling problem." Computers & Operations Research 38, no. 10 (2011): 1452–63. http://dx.doi.org/10.1016/j.cor.2011.01.007.

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13

Turhan, Aykut Melih, and Bilge Bilgen. "Mixed integer programming based heuristics for the Patient Admission Scheduling problem." Computers & Operations Research 80 (April 2017): 38–49. http://dx.doi.org/10.1016/j.cor.2016.11.016.

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14

Fernandez Zibecchi, Alexia, Martín Blanco Salgado, Juan Jesús Varela Correa, and María Elena Gonzalez Pereira. "Implantación de prescripción electrónica en pacientes con ingreso programado en un hospital de complejidad intermedia." Galicia Clínica 86, no. 2 (2025): 16–21. https://doi.org/10.22546/86/2/1330.

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Introduction/objectives: Electronic prescription programs are a tool to reduce medication errors, to cut down cost associeted with therapy and improve the quality of prescription, which will result in improved care for hospitalized patient. The assistencial transition to hospital admission often involves errors in medication reconciliation. Medication errors are one of the most significant causes of adverse events related to medication, even though a large proportion of them are preventable. In this project we present the implantation of scheduled electronic prescribing during the year 2022-20

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15

Zhu, Yi-Hang, Túlio A. M. Toffolo, Wim Vancroonenburg, and Greet Vanden Berghe. "Compatibility of short and long term objectives for dynamic patient admission scheduling." Computers & Operations Research 104 (April 2019): 98–112. http://dx.doi.org/10.1016/j.cor.2018.12.001.

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16

Muklason, Ahmad, Varian Elbert, I. Gusti Agung Premananda, Edwin Riksakomara, Retno Aulia Vinarti, and Arif Djunaidy. "Optimization of Static Patient Admission Scheduling using the Variable Neighborhood Search Method." Procedia Computer Science 234 (2024): 478–85. http://dx.doi.org/10.1016/j.procs.2024.03.030.

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17

Hosseini Rad, Reza, Sahba Baniasadi, Parisa Yousefi, Hakimeh Morabbi Heravi, Muzhir Shaban Al-Ani, and Mohsen Asghari Ilani. "Presented a Framework of Computational Modeling to Identify the Patient Admission Scheduling Problem in the Healthcare System." Journal of Healthcare Engineering 2022 (November 29, 2022): 1–15. http://dx.doi.org/10.1155/2022/1938719.

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Operating room scheduling is a prominent study topic due to its complexity and significance. The increasing number of technical operating room scheduling articles produced each year calls for another evaluation of the literature to enable academics to respond to new trends more quickly. The mathematical application of a model for the patient admission scheduling issue with stochastic arrivals and departures is the subject of this study. The approach for applying our model to real-world issues is discussed here. We present a solution technique for efficient computing, a numerical model analysis

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18

Ab Rashid, Nurul Atiekah, and Suraya Ya'acob. "Predictive Analytics on Scheduled Surgery Cases in Forecasting the Operating Theatre Utilisation." Open International Journal of Informatics 9, no. 1 (2021): 45–52. http://dx.doi.org/10.11113/oiji2021.9n1.20.

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The scheduled surgery cases, allocation of clinical provider, machine, equipment, preparation time, surgery performance, and patient recovery give the big impact on OT utilization. Low OT utilization due to no show patient and scheduling bottleneck interrupt patient flow in clinical process. It also decreases the admission to the OT and wastage of resources. In order to improve the capacity of OT, the logical solution need to be carried out is utilization audit. The trend of scheduled surgery cases has identified, and element affect the OT capacity have used to predict the OT optimization for

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19

Tarr, Joseph T., Cynara L. Coomer, Sara Y. Kim, and Marilyn Ng. "Overnight to Outpatient." Annals of Plastic Surgery 93, no. 1 (2024): 43–47. http://dx.doi.org/10.1097/sap.0000000000003922.

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Purpose Minimizing resource use while optimizing patient outcomes has become an ever-growing component in modern healthcare, especially in the era of COVID-19. One essential component of this is deciding whether patients need hospital admission following elective procedures. The aim of this study is to investigate operative factors and patient outcomes when mastectomies with or without reconstruction are performed as ambulatory procedures versus planned inpatient admissions. Methods Patient charts for those undergoing mastectomy with or without reconstruction were retrospectively analyzed rang

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20

Lusby, Richard Martin, Martin Schwierz, Troels Martin Range, and Jesper Larsen. "An adaptive large neighborhood search procedure applied to the dynamic patient admission scheduling problem." Artificial Intelligence in Medicine 74 (November 2016): 21–31. http://dx.doi.org/10.1016/j.artmed.2016.10.002.

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21

Wong, Andy, Erhan Kozan, Michael Sinnott, Lyndall Spencer, and Robert Eley. "Tracking the patient journey by combining multiple hospital database systems." Australian Health Review 38, no. 3 (2014): 332. http://dx.doi.org/10.1071/ah13070.

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With new national targets for patient flow in public hospitals designed to increase efficiencies in patient care and resource use, better knowledge of events affecting length of stay will support improved bed management and scheduling of procedures. This paper presents a case study involving the integration of material from each of three databases in operation at one tertiary hospital and demonstrates it is possible to follow patient journeys from admission to discharge. What is known about this topic? At present, patient data at one Queensland tertiary hospital are assembled in three informat

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Neumann, Jan-Oliver, Stephanie Schmidt, Amin Nohman, Paul Naser, Martin Jakobs, and Andreas Unterberg. "Routine ICU Surveillance after Brain Tumor Surgery: Patient Selection Using Machine Learning." Journal of Clinical Medicine 13, no. 19 (2024): 5747. http://dx.doi.org/10.3390/jcm13195747.

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Background/Objectives: Routine postoperative ICU admission following brain tumor surgery may not benefit selected patients. The objective of this study was to develop a risk prediction instrument for early (within 24 h) postoperative adverse events using machine learning techniques. Methods: Retrospective cohort of 1000 consecutive adult patients undergoing elective brain tumor resection. Nine events/interventions (CPR, reintubation, return to OR, mechanical ventilation, vasopressors, impaired consciousness, intracranial hypertension, swallowing disorders, and death) were chosen as target vari

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23

Barak Corren, Yuval, Joshua Merrill, Ronald Wilkinson, Courtney Cannon, Jonathan Bickel, and Ben Y. Reis. "Predicting surgical department occupancy and patient length of stay in a paediatric hospital setting using machine learning: a pilot study." BMJ Health Care Inform 29, no. 1 (2022): e100498. http://dx.doi.org/10.1136/bmjhci-2021-100498.

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ObjectiveEarly and accurate prediction of hospital surgical-unit occupancy is critical for improving scheduling, staffing and resource planning. Previous studies on occupancy prediction have focused primarily on adult healthcare settings, we sought to develop occupancy prediction models specifically tailored to the needs and characteristics of paediatric surgical settings.Materials and methodsWe conducted a single-centre retrospective cohort study at a surgical unit in a tertiary-care paediatric hospital in Boston, Massachusetts, USA. We developed a hierarchical modelling framework for predict

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24

Granja, C., B. Almada-Lobo, F. Janela, J. Seabra, and A. Mendes. "An optimization based on simulation approach to the patient admission scheduling problem using a linear programing algorithm." Journal of Biomedical Informatics 52 (December 2014): 427–37. http://dx.doi.org/10.1016/j.jbi.2014.08.007.

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Granja, Conceição, Bernardo Almada-Lobo, Filipe Janela, João Seabra, and Adélio Mendes. "An Optimization based on Simulation Approach to the Patient Admission Scheduling Problem: Diagnostic Imaging Department Case Study." Journal of Digital Imaging 27, no. 1 (2013): 33–40. http://dx.doi.org/10.1007/s10278-013-9626-3.

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Holdsworth, Mark T., and Cathy M. Chavez. "Development of a Home Chemotherapy Program for Pediatric Oncology Patients." Journal of Pharmacy Practice 8, no. 6 (1995): 297–302. http://dx.doi.org/10.1177/089719009500800606.

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Provision of home chemotherapy to pediatric oncology patients offers substantial advantages to children and their families, including improved scheduling and continuity of care and decreased disruption of the family unit. These advantages may positively impact upon both parental anxiety and quality of life for these children and their families. Establishing and maintaining a successful home chemotherapy program is a complex task, requiring a detailed orientation program along with an interdisciplinary team approach, a successful communication network, and close patient follow-up. Home chemothe

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27

Boyapati, Raghuram P., Jahnavi Mehta, and Paul Norris. "Same day cancellations of elective operations in a tertiary hospital in south-east England: a review of 11 000 patients in 1 year." British Journal of Healthcare Management 26, no. 1 (2020): 27–33. http://dx.doi.org/10.12968/bjhc.2019.0029.

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Cancellations of elective operations have negative consequences, both for patients and the NHS. For the latter, reducing waiting times for surgical procedures remains a pressing concern, as does maintenance of adequate staffing. This study aimed to identify factors contributing to the cancellation of elective operations on the day of the procedure in order to suggest measures that could be taken to reduce these incidents. The retrospective details of just over 11 000 patients awaiting theatre admission for elective operations over a period of 1 year were obtained. The reasons behind last-minut

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28

Bell, Cathrine, Charlotte Weiling Appel, Anders Prior, Anne Frølich, Asger Roer Pedersen, and Peter Vedsted. "The Effect of Coordinating the Outpatient Treatment across Medical Specialities for Patients With Multimorbidity." International Journal of Integrated Care 24 (April 9, 2024): 4. http://dx.doi.org/10.5334/ijic.7535.

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Introduction: Patients with multimorbidity attend multiple outpatient clinics. We assessed the effects on hospital use of scheduling several outpatient appointments to same-day visits in a multidisciplinary outpatient pathway (MOP). Methods: This study used a quasi-experimental design. Eligible patients had multimorbidity, were aged ≥18 years and attended ≥2 outpatient clinics in five different specialties. Patients were identified through forthcoming appointments from August 2018 to March 2020 and divided into intervention group (alignment of appointments) and comparison group (no alignment).

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Smith, Thomas, Marleen Radigan, and Franco Mascayano. "T240. DOES SCHEDULING A POST-DISCHARGE OUTPATIENT MENTAL HEALTH APPOINTMENT INCREASE THE LIKELIHOOD OF SUCCESSFUL TRANSITION FROM HOSPITAL TO COMMUNITY-BASED CARE?" Schizophrenia Bulletin 46, Supplement_1 (2020): S323—S324. http://dx.doi.org/10.1093/schbul/sbaa029.800.

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Abstract Background Scheduling timely appointments for outpatient follow-up care is a discharge planning practice widely accepted as a standard of care for inpatient treatment. Despite these endorsements, however, rates of hospital providers completing these practices vary widely. Timely scheduling of initial outpatient visits following discharge has been associated with improved rates of attending outpatient psychiatric services, although negative findings have also been reported. Nearly all prior studies were single-site case reports that did not use an experimental design and more rigorous

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Skeffington, Patrick, Robert Aisenberg, Janice Dallacosta, et al. "896 Fighting the war against COVID-19: administration of bamlanivimab (BAM) or bamlanivimab + etesivimab (BAM + E); a cooperative effort between a community cancer center and an urgent care (UC) facility." Journal for ImmunoTherapy of Cancer 9, Suppl 2 (2021): A940. http://dx.doi.org/10.1136/jitc-2021-sitc2021.896.

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BackgroundGoal of the Massachusetts DPH is to ensure equitable distribution of BAM to the most vulnerable at risk of poor outcomes from COVID-19 and to communities with the highest incidences of COVID-19. Hospitals should allocate available doses in a manner consistent with this guidance:1. Patients who meet the EUA criteria; a lottery system will be used if supply is exceeded 2. Patients with comorbidities (high risk) tend to have worse outcomes when infected with SARS-CoV-2 3. BAM was approved under an EUA for the treatment of mild to moderate COVID-19 for those at high risk of progressing t

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Bagherian, Hossein, Maryam Jahanbakhsh, and Nahid Tavakoli. "A review on the use of operational research techniques in the medical records department." Proceedings of Singapore Healthcare 29, no. 1 (2020): 42–49. http://dx.doi.org/10.1177/2010105819899113.

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Introduction: Various operational research (OR) techniques have been used in different areas of healthcare. One of the areas in which OR techniques can be effective is the medical records department (MRD). The aim of this study is to review the applications of OR in the management of MRD and its related processes. Methods: This is a review article. In order to collect data, English-language studies published between 2000 and 2018, related to the use of OR techniques in MRD, in the Medline, Science Direct, ProQuest and Web of science databases were investigated. From 1165 retrieved studies, 19

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Mahmed, Ali Nader, and M. N. M. Kahar. "Window-Based Multi-Objective Optimization for Dynamic Patient Scheduling with Problem-Specific Operators." Computers 11, no. 5 (2022): 63. http://dx.doi.org/10.3390/computers11050063.

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The problem of patient admission scheduling (PAS) is a nondeterministic polynomial time (NP)-hard combinatorial optimization problem with numerous constraints. Researchers have divided the constraints of this problem into hard (i.e., feasible solution) and soft constraints (i.e., quality solution). The majority of research has dealt with PAS using integer linear programming (ILP) and single objective meta-heuristic searching-based approaches. ILP-based approaches carry high computational demand and the risk of non-feasibility for a large dataset. In a single objective optimization, there is a

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Mahmed, Ali Nader, and M. N. M. Kahar. "Window-Based Multi-Objective Optimization for Dynamic Patient Scheduling with Problem-Specific Operators." Computers 11, no. 5 (2022): 63. http://dx.doi.org/10.3390/computers11050063.

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The problem of patient admission scheduling (PAS) is a nondeterministic polynomial time (NP)-hard combinatorial optimization problem with numerous constraints. Researchers have divided the constraints of this problem into hard (i.e., feasible solution) and soft constraints (i.e., quality solution). The majority of research has dealt with PAS using integer linear programming (ILP) and single objective meta-heuristic searching-based approaches. ILP-based approaches carry high computational demand and the risk of non-feasibility for a large dataset. In a single objective optimization, there is a

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Mahmed, Ali Nader, and M. N. M. Kahar. "Window-Based Multi-Objective Optimization for Dynamic Patient Scheduling with Problem-Specific Operators." Computers 11, no. 5 (2022): 63. http://dx.doi.org/10.3390/computers11050063.

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The problem of patient admission scheduling (PAS) is a nondeterministic polynomial time (NP)-hard combinatorial optimization problem with numerous constraints. Researchers have divided the constraints of this problem into hard (i.e., feasible solution) and soft constraints (i.e., quality solution). The majority of research has dealt with PAS using integer linear programming (ILP) and single objective meta-heuristic searching-based approaches. ILP-based approaches carry high computational demand and the risk of non-feasibility for a large dataset. In a single objective optimization, there is a

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35

Abdel Rahman, Zaid, Joyce Philip, Omar Mohtadi, Pushpinderdeep Singh Kahlon, and Vijaya Donthireddy. "Effect of follow-up appointments and admission unit on readmissions in patient with cancer on chemotherapy: A tertiary center experience." Journal of Clinical Oncology 35, no. 15_suppl (2017): e18239-e18239. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e18239.

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e18239 Background: Readmissions are a huge burden on patients and organizations, especially in light of the newly emerging bundled payment systems. Many interventions have been proposed to reduce readmissions, including admitting patients to a cancer-specific unit (CSU) and scheduling follow-up appointments after discharge. Methods: We conducted a retrospective cohort study to identify the effect of admission unit and follow-up appointments on readmissions within 30 days among cancer patients receiving outpatient chemotherapy. We included unplanned admissions between July and October 2016 at H

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Amudha, S., and M. Murali. "Implementation of Energy Efficient Fog based Health Monitoring and Emergency Admission Prediction System Using IoT." Webology 18, Special Issue 02 (2021): 171–89. http://dx.doi.org/10.14704/web/v18si02/web18065.

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With rapid development in Information Communication Technology (ICT), Wearable Sensor Networks with Internet of Things (WSN-IoT) has produced several improvements in the smart world environment. One of the main research challenges in Wearable Sensor is energy, since all the sensor nodes operation depends on battery power consumption. Hence a new middleware has to be introduced between Wearable Sensor nodes and Cloud to reduce latency and Power Consumption problems. Overcrowding in hospital premise, detecting priority of hospital admission for patients, managing and monitoring health status of

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Wanderer, Jonathan P., John Anderson-Dam, Wilton Levine, and Edward A. Bittner. "Development and Validation of an Intraoperative Predictive Model for Unplanned Postoperative Intensive Care." Anesthesiology 119, no. 3 (2013): 516–24. http://dx.doi.org/10.1097/aln.0b013e31829ce8fd.

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Abstract Background: The allocation of intensive care unit (ICU) beds for postoperative patients is a challenging daily task that could be assisted by the real-time detection of ICU needs. The goal of this study was to develop and validate an intraoperative predictive model for unplanned postoperative ICU use. Methods: With the use of anesthesia information management system, postanesthesia care unit, and scheduling data, a data set was derived from adult in-patient noncardiac surgeries. Unplanned ICU admissions were identified (4,847 of 71,996; 6.7%), and a logistic regression model was devel

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Abera, Aregawi K., Małgorzata M. O’Reilly, Mark Fackrell, Barbara R. Holland, and Mojtaba Heydar. "On the decision support model for the patient admission scheduling problem with random arrivals and departures: A solution approach." Stochastic Models 36, no. 2 (2020): 312–36. http://dx.doi.org/10.1080/15326349.2020.1742161.

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Robertson, SA, RJE Skipworth, DL Clarke, et al. "Ventilatory and Intensive Care Requirements Following Oesophageal Resection." Annals of The Royal College of Surgeons of England 88, no. 4 (2006): 354–57. http://dx.doi.org/10.1308/003588406x98694.

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INTRODUCTION The aim of this study was to analyse the results of early postoperative extubation following oesophagectomy. PATIENTS AND METHODS All patients who had undergone oesophageal resection between 1994 and 2001 were identified from a prospectively collected database. Their records were then reviewed in order to analyse morbidity and mortality along with intensive care unit (ICU) and ventilatory requirements. All patients were extubated immediately following surgery and monitored on a surgical high dependency unit (HDU). RESULTS A total of 98 resections were undertaken (76 men; mean age,

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P., Chinniah, and Muttan S. "HL7 standard based Hospital Information System." International Journal of BioSciences and Technology (IJBST) ISSN: 0974-3987 5, no. 7 (2012): 32–39. https://doi.org/10.5281/zenodo.1445372.

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<strong>Abstract:</strong> The rapid advancement in Information and Communication technology (ICT) in the recent years has spurred the development of Electronic Medical records (EMR) which necessitated the healthcare organization to develop  various electronic data interchange (EDI) schemas. It has become almost essential to collect and transfer patient information such as admission details, Lab reports, billing, pharmaceutical details, etc., internal as well as  external to the hospital. Currently there is widespread standalone systems such as Hospital Information System (HIS), Labo

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Mullan, Paul C., and Turaj Vazifedan. "Changing temporal trends in patient volumes in a pediatric emergency department during a COVID-19 pandemic lockdown: A retrospective cohort study." PLOS ONE 17, no. 9 (2022): e0271708. http://dx.doi.org/10.1371/journal.pone.0271708.

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Objective Emergency department (ED) teams have had to adjust limited staffing resources to meet the fluctuating levels of patient volume and acuity during the COVID-19 pandemic. Historically, Mondays have had the highest reported ED volumes. We are unaware of any studies reporting on the change of this Monday effect during the COVID-19 pandemic. Methods This retrospective, observational study of a single pediatric ED compared a pandemic lockdown period (3/23/2020-11/1/2020) with a seasonally comparative period (3/25/2019-11/3/2019). We compared the mean number of patients who arrived on Monday

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Blancas, Isabel, David Martínez-Rodríguez, Fernando Rodríguez-Serrano, Rafael Jacinto Villanueva, and Jose Manuel Garrido. "An optimized mathematical model for cancer patient care planning in the COVID-19 era." Journal of Clinical Oncology 39, no. 15_suppl (2021): e18663-e18663. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.e18663.

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e18663 Background: The COVID-19 pandemic has threatened to collapse hospital and Intensive Care Unit (ICU) services, and it seems to limit the care of oncologic patients. The objective was to develop a mathematical model designed to predict the hospitalization and ICU admission demands due to COVID-19 to forecast the availability of hospital resources for the scheduling of oncological surgery and medical treatment that require hospitalitation or possible use of ICU services. Methods: We have implemented a SEIR model designed to predict the number of patients requiring hospitalization and ICU a

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Wetzstein, Gene A., Jeffrey E. Lancet, Jennifer E. Kallner, et al. "Safety, Feasibility, and Cost-Effectiveness with Outpatient Administration of High-Dose Cytarabine Consolidation in Acute Myeloid Leukemia." Blood 112, no. 11 (2008): 2405. http://dx.doi.org/10.1182/blood.v112.11.2405.2405.

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Abstract Introduction: High-dose cytarabine (HiDAC) consolidation chemotherapy is frequently used in acute myeloid leukemia (AML) patients less than 60 years of age. Traditionally, the potential risk for neurotoxicity, which has been reported to occur in 8–26% of patients, has limited its administration to the inpatient setting with a median length of stay of 5 days. Institutional retrospective data revealed the incidence to be much lower than previously reported with grade III/IV neurotoxicity in only 0.7% of cycles (N=267). As a result, we developed a comprehensive outpatient (OP) approach f

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Pardo, Àlex, Josep Gómez, Julen Berrueta, et al. "Combining Predictive Models of Mortality and Time-to-Discharge for Improved Outcome Assessment in Intensive Care Units." Journal of Clinical Medicine 14, no. 13 (2025): 4515. https://doi.org/10.3390/jcm14134515.

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Background: The Patient Outcome Assessment and Decision Support (PADS) model is a real-time framework designed to predict both mortality and the likelihood of discharge within 48 h in critically ill patients. By combining these predictions, PADS enables clinically meaningful stratification of patient trajectories, supporting bedside decision-making and the planning of critical care resources such as nursing allocation and surgical scheduling. Methods: PADS integrates routinely collected clinical data: SOFA variables, age, gender, admission type, and comorbidities. It consists of two Long Short

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Hunis, Brian, Alvaro Jose Alencar, Aurelio Bartolome Castrellon, Luis E. Raez, and Vedner Guerrier. "Making steps to decrease emergency room visits in patients with cancer: Our experience after participating in the ASCO Quality Training Program." Journal of Clinical Oncology 34, no. 7_suppl (2016): 51. http://dx.doi.org/10.1200/jco.2016.34.7_suppl.51.

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51 Background: Overutilization of emergency room services by oncology patients is a known problem associated with increased admission rates and health care expenditure. A review of our oncology patients’ emergency room (ER) visits from January to May 2015 demonstrated that 48% of ER visits happened during office hours. Consequently a rapid cycle quality improvement project was developed with an aim to decrease ER visits by 30% by September 2015. Methods: A multidisciplinary team completed an action plan, starting with a project charter and definition of aim statement. A process map for patient

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Young, Karen, Devesh Hargunani, and Vitaliy Poylin. "EFFECTS OF DELAYED ENDOSCOPIES IN INFLAMMATORY BOWEL DISEASE PATIENTS DURING THE COVID-19 PANDEMIC." Inflammatory Bowel Diseases 28, Supplement_1 (2022): S81. http://dx.doi.org/10.1093/ibd/izac015.130.

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Abstract OBJECTIVES Care for many chronic conditions was altered during the COVID-19 pandemic. For patients with Inflammatory Bowel Disease (IBD), routine maintenance including endoscopies were postponed. The effects of delaying endoscopies on IBD outcomes are currently unknown. This study aimed to evaluate effects of delays of maintenance endoscopies on patients with IBD during the COVID-19 pandemic. METHODS This was a retrospective review of all IBD patients scheduled for routine endoscopy at Northwestern Memorial Hospital March 13, 2020 through May 31, 2020. All endoscopic examinations were

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Choudhury, Avishek, and Estefania Urena. "Forecasting hourly emergency department arrival using time series analysis." British Journal of Healthcare Management 26, no. 1 (2020): 34–43. http://dx.doi.org/10.12968/bjhc.2019.0067.

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Background/aims The stochastic arrival of patients at hospital emergency departments complicates their management. More than 50% of a hospital's emergency department tends to operate beyond its normal capacity and eventually fails to deliver high-quality care. To address this concern, much research has been carried out using yearly, monthly and weekly time-series forecasting. This article discusses the use of hourly time-series forecasting to help improve emergency department management by predicting the arrival of future patients. Methods Emergency department admission data from January 2014

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Brandwein, J. M., J. Callum, M. Rubinger, J. G. Scott, and A. Keating. "An evaluation of outpatient bone marrow harvesting." Journal of Clinical Oncology 7, no. 5 (1989): 648–50. http://dx.doi.org/10.1200/jco.1989.7.5.648.

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In order to avoid the difficulties in scheduling and cost involved in admitting patients to hospital to undergo bone marrow harvests, we assessed outpatient marrow harvesting for autologous bone marrow transplant (BMT) candidates. Over a 13-month period, 39 consecutive patients with hematologic malignancies underwent bone marrow harvests as outpatients. For comparison we also evaluated 20 consecutive patients with similar disease status who had undergone bone marrow harvests as inpatients over the preceding 6 months. The mean hemoglobin value prior to harvest the mean volume of marrow harveste

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Tafazal, H., P. Spreadborough, D. Zakai, N. Shastri-Hurst, S. Ayaani, and M. Hanif. "Laparoscopic cholecystectomy: a prospective cohort study assessing the impact of grade of operating surgeon on operative time and 30-day morbidity." Annals of The Royal College of Surgeons of England 100, no. 3 (2018): 178–84. http://dx.doi.org/10.1308/rcsann.2017.0171.

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Introduction There is an increasing trend towards day case surgery for uncomplicated gallstone disease. The challenges of maximising training opportunities are well recognised by surgical trainees and the need to demonstrate timely progression of competencies is essential. Laparoscopic cholecystectomy provides the potential for excellent trainee learning opportunities. Our study builds upon previous work by assessing whether measures of outcome are still affected when cases are stratified based on procedural difficulty. Material and methods A prospective cohort study of all laparoscopic cholec

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Shah, Deepa, Nicole Dalal, Lauren Janchenko, et al. "Closing the loop: Utilizing advanced practice providers for a 7-day post hospital discharge follow-up of GI oncology patients at an academic cancer center." JCO Oncology Practice 20, no. 10_suppl (2024): 304. http://dx.doi.org/10.1200/op.2024.20.10_suppl.304.

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304 Background: Acute care visits for oncology patients may be preventable, especially for high-risk patients with a recent hospitalization. During our 2023 Fiscal Year, we observed an approximate 22% rate for 30 day readmissions for oncology patients, with our gastrointestinal (GI) oncology patients having the most readmissions, at Stanford Cancer Center. Readmission review through clinician surveys suggested that about 28% of unplanned admissions may have been preventable, with root cause analysis identifying timely access to ambulatory symptom management as a major driver. Methods: We estab

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