Biomedical subjects

I Ozkarahan

Publications and source records attributed to I Ozkarahan.

6 recordsLinked to original sources

PubMed2000

Allocation of surgeries to operating rooms by goal programing.

High usage rate in a surgical suite is extremely important in meeting the increasing demand for health care services and reducing costs to improve quality of care. In this paper a goal programming model which can produce schedules that best serve the needs of the hospital, i.e., by minimizing idle time and overtime, and increasing satisfaction of surgeons, patients, and staff, is described. The approach involves sorting the requests for a particular day on the basis of block restrictions, room utilization, surgeon preferences and intensive care capabilities. The model is tested using the data obtained during field studies at Dokuz Eylul University Hospital. The model is also tested for alternative achievement functions to examine the model's ability to satisfy abstract goals.

Appointments and Schedules↗

PubMed1995

Allocation of surgical procedures to operating rooms.

Reduction of health care costs is of paramount importance in our time. This paper is a part of the research which proposes an expert hospital decision support system for resource scheduling. The proposed system combines mathematical programming, knowledge base, and database technologies, and what is more, its friendly interface is suitable for any novice user. Operating rooms in hospitals represent big investments and must be utilized efficiently. In this paper, first a mathematical model similar to job shop scheduling models is developed. The model loads surgical cases to operating rooms by maximizing room utilization and minimizing overtime in a multiple operating room setting. Then a prototype expert system which replaces the expertise of the operations research analyst for the model, drives the modelbase, database, and manages the user dialog is developed. Finally, an overview of the sequencing procedures for operations within an operating room is also presented.

Artificial Intelligence↗

PubMed1994

A scheduling model for hospital residents.

When medical students finish their school they must go through a horrendous apprenticeship known as hospital residency to be able to practice medicine. During residency, they work at least 16-hr a day, 5-days a week, with 2 or 3 nights on-call. These can turn into 36-hr shifts. This means that many patients are being treated by exhausted novices, who are therefore much more likely to make mistakes. It was one such mistake, leading to the death of a New York woman, which led to serious attempts to reforming working hours of residents. In this paper, we developed a decision model which attempts to schedule residents based on the requirements of the residency program as well as the desires of residents as to days-off, weekends, on-call nights, etc.

Algorithms↗

PubMed1991

A disaggregation model of a flexible nurse scheduling support system.

A nurse scheduling support system is developed in which the demand profile and nurses' preferences are input to an expert-like capability designed to formulate linear and/or goal programming representations of the problem. Solutions of the alternative optimization models of this decision support system are then evaluated. An assignment model for disaggregating the optimum work patterns of individual nurses based on their desires and compatibilities is discussed in detail. A brief overview of one of the scheduling models and its extension is also presented along with discussion of the various uses of the assignment model.

Hospitals, Urban↗

PubMed1991

An integrated nurse scheduling model.

Hospitals provide continuous service, including during holidays. This requirement causes discontent among hospital personnel, including nurses, and is often cited as one cause of the nurse shortage. This discontent and the pressure on hospitals to limit costs highlight the importance of nurse scheduling. This paper describes an integrated scheduling model that satisfies the interests of both hospitals and nurses. The model accommodates flexible work patterns by incorporating time-of-day and day-of-week scheduling problems. Testing of the model is also presented.

Arizona↗

PubMedDate not supplied

A flexible nurse scheduling support system.

Salaries paid to nursing personnel constitute the largest chunk of a hospital's budget. Therefore, this human resource must be utilized efficiently. Hospitals provide continuous service without the exception of holidays and personal preferences. This causes the nurses' discontent in shift scheduling. And the consequence of this discontent is the nurse shortage. This and the pressures on hospitals to limit costs increase the importance of the nurse scheduling problem. Scheduling nursing personnel in hospitals is very complex due to the variety of conflicting interests or objectives between hospitals and nurses. Also, the demand, which varies widely 24-h a day 7-day a week is skill specific and hard to forecast. In the face of this complexity, the present nurse scheduling models have met with little success. In this paper, we propose a more flexible decision support system that will satisfy the interests of both hospitals and nurses through alternative models that attempt to accommodate flexible work patterns as it integrates time of the day (TOD) and day of the week (DOW) scheduling problems.

Decision Support Systems, Management↗