دکتر سعیده کتابی

استاد

گروه مدیریت
دانشکده علوم اداری و اقتصاد

پست الکترونیکی

sketabi@ase.ui.ac.ir

آدرس

دانشگاه اصفهان میدان آزادی اصفهان، ایران
کد پستی : 8174673441

معرفی کلی

علاقه مندی پژوهشی

بهینه سازی سیستمهای خدماتی و صنعتی ارزیابی کارآیی زمان بندی و مکان یابی بهبود فرآیندها

سابقه تحصیلی

کارشناسی, ریاضی کاربردی, تهران [تهران - ایران]
کارشناسی ارشد, برنامه ریزی سیستمها, صنعتی اصفهان [اصفهان - ایران]
دکتر, تحقیق در عملیات, آدلاید [آدلاید - استرالیا]
دکتر, بهینه سازی سیستمهای سلامت, تورنتو [تورنتو - کانادا]

دروس

• برنامه ریزی ریاضی و بهینه سازی • تحقیق در عملیات 1 و 2 و 3 • سیستم های صف • تحلیل شبکه • برنامه ریزی با متغیرهای صحیح • تصمیم گیری چندمعیاره

برونداد‌های پژوهشی

همه موارد

مقالات

مقالات لاتین

2025

Evaluating hospital performance with additive DEA and MPI: the Isfahan University of Medical Science case study

( Article . Gold )

Hadian, S.A., Rezayatmand, R., Ketabi, S., Shaarbafchizadeh, N., Pourghaderi, A.R.

Bmc Health Services Research (14726963)25(1)

Background: Hospitals are a vital pillar of the health system, and measuring their performance by an appropriate quantitative model is crucial. This study evaluated the performance of hospitals affiliated with Isfahan University of Medical Sciences. It deals with the nature of dynamics (the performance of evaluation indicators over time), examining controllable, uncontrollable, and undesirable input and output indicators. Methods: This study evaluated the performance of 26 Isfahan University of Medical Science hospitals in terms of efficiency and productivity with hybrid Data Envelopment Analysis (DEA) models, namely, the additive classic, Malmquist productivity index (MPI), and super-efficiency models, from 2019 through 2022. Thirteen indicators (four inputs and nine outputs) were selected as model variables by brainstorming in the expert panel. Results: The average technical efficiency of hospitals during the four periods was 0.86, indicating an average inefficiency of 14%. Malmquist productivity index results over four periods showed hospitals operating with an average of 11% positive growth, reflecting an overall increase in productivity. Notably, some hospitals with high technical efficiency displayed lower total productivity growth rates due to fluctuations in specific indicators. On average, in the four under study years, 12 hospitals were efficient, of which 75% (9 hospitals) had performance progress (average MPI > 1). On the contrary, among the 14 inefficient hospitals during the four studied years, more than 90% of the hospitals had improved performance. Conclusion: This study introduces a multidimensional and dynamic model for evaluating hospital performance. While classic DEA models provide a statistical performance evaluation, the Malmquist Productivity Index reveals dynamic performance changes over time. These findings underscore the need for hospitals to adopt advanced quantitative models to optimize resource allocation and enhance service delivery. © The Author(s) 2024.

Hospital performance evaluation models: A scoping review

( Article . )

Hadian, S.A., Rezayatmand, R., Ketabi, S., Shaarbafchizadeh, N., Pourghaderi, A.R.

Journal of Education and Health Promotion (22779531)14(1)

2024

Hospital bed capacity management during the COVID-19 outbreak using system dynamics: A case study in Amol public hospitals, Iran

( Article . )

Hosseinzadeh, S., Ketabi, S., Atighechian, A., Nazari, R.

International Journal of Healthcare Management (20479700)17(1)pp. 63-75

Hospital performance evaluation indicators: a scoping review

( Article . Gold • Green )

Hadian, S.A., Rezayatmand, R., Shaarbafchizadeh, N., Ketabi, S., Pourghaderi, A.R.

Bmc Health Services Research (14726963)24(1)

INTEGRATIVE DECISION MAKING ON OPERATING ROOM CAPACITY ASSIGNMENT AND CASE MIX PLANNING UNDER UNCERTAINTY

( Article . Gold )

Ketabi, S., Sajadi, A.

Journal of the Operations Research Society of Japan (04534514)67(2)pp. 46-64