Analysis of Density and Patient Wait Times in Terms of System Management in Turkish Hospitals: Setting A Pattern By Days and Hours of the Week

Author:

ÖZEN Olcay1ORCID,KÖSE İlker2ORCID,YIGIT Pakize1ORCID,GÜNER Şeyma1ORCID,AYDIN Sabahattin1ORCID

Affiliation:

1. ISTANBUL MEDIPOL UNIVERSITY

2. Alanya University

Abstract

The time spent waiting is an important problem regarding patient satisfaction and hospital efficiency, and increases the need for evidence-based information for management to make decisions towards a solution. This study aims to examine the process flows in hospitals based on actual data with the intent to design a better service delivery system and set a pattern in terms of determining the congestion in the process and planning the necessary improvements. For this purpose, the data sets for 2016 pertaining to secondary and tertiary level hospitals in Turkey, which are stored in the central physician appointment system (CPAS), are investigated. The data is analyzed through pre-processing, cleaning and transformation stages. Congestion patterns are determined by days and hours spent in hospitals. Monday is found to be the day with the highest patient density and the longest wait time in Turkish hospitals. It is observed that wait times are shorter on Wednesday in the middle of the week, while they are longer on Friday, the last working day. Additionally, when analyzed by working hours, it is determined that the first 2 hours in the morning (9.00 a.m. to 11.00 a.m.) is the period when most patients are examined. The lunchtime (between 12.00 p.m. - 1.00 p.m.) and the afternoon from 4.00 p.m. to 5.00 p.m. are the times when patient density is the lowest, but average wait time is the longest. Turkish hospitals are found to be particularly congested on some days and during some hours regarding patient wait times. Thus, policy recommendations can be developed specifically to the days and times when congestion patterns are identified rather than suggesting a general policy. This study is the most comprehensive study conducted in Turkey through process data. The working model is reproducible in different countries and regions.

Publisher

Journal of Health Systems and Policies, Istanbul Medipol University

Subject

General Medicine

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