Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Patient Flow: Reducing Delay in Healthcare Delivery is dedicated to improving healthcare through reducing the delays experienced by patients. One aspect of this goal is to improve the flow of patients, so that they do not experience unnecessary waits as they flow through a healthcare system. Another aspect is ensuring that services are closely synchronized with patterns of patient demand. Still another aspect is ensuring that ancillary services, such as housekeeping and transportation, are fully coordinate with direct patient care. It is the first book treatment to have reduction in patient delay as its sole focus, and therefore, provides the foundation by which hospitals can implement change. Reflecting the highly interdisciplinary and practitioner nature of this book, the chapters have been written by doctors, nurses, industrial engineers, system engineers and geographers, and thus, these perspectives provide the comprehensive view needed to address the problem of patient delay.

Health services administration --- Medical appointments and schedules --- Medical care --- Appointments and schedules (Medicine) --- Schedules, Medical --- Hospitals --- Medical offices --- Medicine --- Scheduling --- Health administration --- Health care administration --- Health care management --- Health sciences administration --- Health services management --- Health planning --- Public health administration --- Delivery of health care --- Delivery of medical care --- Health care --- Health care delivery --- Health services --- Healthcare --- Medical and health care industry --- Medical services --- Personal health services --- Public health --- Administration --- Practice --- Management --- Health services administration. --- Medical appointments and schedules. --- Medical care.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Diagnosis-related groups (DRGs) are used in hospitals for the reimbursement of inpatient services. The assignment of a patient to a DRG can be distinguished into billing- and operations-driven DRG classification. The topic of this monograph is operations-driven DRG classification, in which DRGs of inpatients are employed to improve contribution margin-based patient scheduling decisions. In the first part, attribute selection and classification techniques are evaluated in order to increase early DRG classification accuracy. Employing mathematical programming, the hospital-wide flow of elective patients is modelled taking into account DRGs, clinical pathways and scarce hospital resources. The results of the early DRG classification part reveal that a small set of attributes is sufficient in order to substantially improve DRG classification accuracy as compared to the current approach of many hospitals. Moreover, the results of the patient scheduling part reveal that the contribution margin can be increased as compared to current practice.

Hospitals --- Medical appointments and schedules --- Production scheduling. --- Admission and discharge --- Data processing. --- Mathematical models. --- Administration. --- Job scheduling (Production control) --- Job-shop scheduling --- Project scheduling (Production control) --- Scheduling (Management) --- Appointments and schedules (Medicine) --- Schedules, Medical --- Business. --- Operations research. --- Decision making. --- Health care management. --- Health services administration. --- Health informatics. --- Management science. --- Business and Management. --- Operation Research/Decision Theory. --- Health Informatics. --- Operations Research, Management Science. --- Health Care Management. --- Production control --- Scheduling --- Medical offices --- Medicine --- Administration --- Practice --- Medical records --- Operations Research/Decision Theory. --- Health administration --- Health care administration --- Health care management --- Health sciences administration --- Health services management --- Medical care --- Health planning --- Public health administration --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Management --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Data processing --- Decision making