نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، مدیریت دولتی گرایش منابع انسانی، گروه مدیریت دولتی، واحد کرمان، دانشگاه آزاد اسلامی، کرمان، ایران.

2 استایار، مدیریت دولتی، گروه مدیریت دولتی، واحد کرمان، دانشگاه آزاد اسلامی، کرمان، ایران.

3 دانشیار، مدیریت دولتی، گروه مدیریت دولتی، واحد کرمان، دانشگاه آزاد اسلامی، کرمان، ایران

4 استادیار، گروه مدیریت صنعتی، واحد کرمان، دانشگاه آزاد اسلامی، کرمان، ایران.

چکیده

مقدمه: با توجه به اهمیت تحلیل گری منابع انسانی و نیازی که سازمان‌ها و بالأخص نظام سلامت به تجزیه‌وتحلیل داده‌ها در این حوزه دارند تا بتوانند به‌خوبی آن را مدیریت کرده و نتایج را برای برنامه‌ریزی و تصمیم‌گیری‌های مبتنی بر شواهد به‌کارگیرند، پژوهش حاضر باهدف شناسایی موانع و ارائه راهکارهای تحلیل گری منابع انسانی در نظام سلامت انجام شد.

روش بررسی: مطالعه کیفی حاضر به روش تحلیل محتوا در سال 1402 از طریق مصاحبه نیمه ساختاریافته با 14 نفر از خبرگان شامل اساتید و مدیران ارشد دانشگاه علوم پزشکی کرمان با استفاده از روش نمونه‌گیری هدفمند به شکل گلوله برفی تا رسیدن به اشباع نظری انجام شد. سپس با کمک نرم‌افزار MAXQDA2020 کدگذاری و تحلیل انجام گردید و اعتبار و قابلیت یافته‌ها بر اساس معیارهای باورپذیری، اطمینان‌پذیری، تأیید پذیری تأیید شد.

یافته‌ها: در این پژوهش تعداد 109 کد باز حاوی موانع و راهکارها استخراج گردید و پس از تجمیع کدها موانع در 8 مقوله فرعی و همچنین راهکارها در 6 مقوله فرعی شناسایی شدند.

نتیجه‌گیری: پیشنهاد می‌گردد برنامه‌ریزی‌ها و سیاست‌گذاری‌هایی در جهت بهبود وضعیت و فرآیند تحلیل گری منابع انسانی نظام سلامت با نگاهی سیستمی و تحول‌آفرین به‌کل سیستم نظام سلامت و تجزیه‌وتحلیل اطلاعات آن صورت گیرد و با به‌کارگیری راهکارهای ارائه‌شده تدابیری برای چالش‌های پیش رو اندیشیده شود.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Analyzing the barriers of human resources analytics in the health system and explaining improvement strategies

نویسندگان [English]

  • Nahid Zarinsadaf 1
  • Mojgan Derakhshan 2
  • Amin Nikpour 3
  • Hamid Reza Mollaei 4

1 Ph.D. student in Public Administration, Department of Public administration, Kerman Branch, Islamic Azad University, Kerman, Iran.

2 Assistant Professor, Department of Public administration, Kerman Branch, Islamic Azad University, Kerman, Iran.

3 Associate Professor, Department of Public administration, Kerman Branch, Islamic Azad University, Kerman, Iran.

4 Assistant Professor, Department of Industrial Management, Kerman Branch, Islamic Azad University, Kerman, Iran.

چکیده [English]

Introduction: Considering the importance of human resources analysis and the need that organizations, especially the health system, have to analyze data in this field so that they can manage it well and use the results for evidence-based planning and decision making. Therefore, the current research was conducted with the aim of identification of barriers and providing analytical solutions for human resources in the health system.

Methods: The present qualitative study was conducted using the method of content analysis in 1402 through semi-structured interviews with 14 experts including professors and senior managers of Kerman University of Medical Sciences using the purposeful snowball sampling method until reaching theoretical saturation. Then, with the help of MAXQDA2020 software, coding and analysis were done, and the validity and reliability of the findings were confirmed based on the criteria of believability, reliability, and verifiability.

Results: In this research, 109 open codes containing obstacles and solutions were extracted and after combining the codes, obstacles were identified in 8 sub-categories and solutions in 6 sub-categories.

Conclusion: It is suggested that plans and policies be made in order to improve the situation and the analysis process of the human resources of the health system with a systemic and transformative view of the entire health system and its information analysis, and by applying the presented solutions, measures for the challenges think ahead.

کلیدواژه‌ها [English]

  • Data analysis
  • Health Workforce
  • Personnel Management
  • Barriers
  1. 1.Pandya D. HR Analytics – Importance and Challenges. International Journal of Scientific Research in Engineering and Management. 2023 Jul; 7(7): 1-4. Doi:10.55041/ijsrem24526.

    1. Margherita A. Human resources analytics: A systematization of research topics and directions for future research. Human Resource Management Review. 2022 Jun 1; 32(2):100795. DOI: 10.1016/j.hrmr.2020.100795.
    2. Khalajinia Z, Gaeeni M. Challenges in Implementation of Health Care Reform in the Area of Treatment Qom City. Manage Strat Health Syst 2018; 3 (3):212-224.URL: http://mshsj.ssu.ac.ir/article-1-212-fa.html. Doi: 10.18502/mshsj.v3i3.253. [In Persian].
    3. Karsten L, Ghebregiorgis F. Human resource management and performance in a developing country: the case of Eritrea. International Journal of Human Resource Management, (2007); 18(2):321-332. Doi: 10.1080/09585190601102547.
    4. Stavrou‐Costea E. The role of human resource management in today’s organizations: the case of Cyprus in comparison with the European Union. Journal of European Industrial Training, (2002); 26(6):261-268. Doi: 10.1108/03090590210431229.
    5. Bhatnagar J. Looking from the Organisational Learning lens at technology enabled HR in Indian organisations. International Journal of Human Resources Development and Management. 2007 Jan 1; 7(1):53-66. Doi: 10.1504/IJHRDM.2007.012285.
    6. Almasi M, Sohaili K, Rostami E, Hemmati Dinarvand E. The Effect of Health Expenditure on Labor Productivity in Iran in 2005-2013. ohhp 2019; 2 (4):304-319. URL: http://ohhp.ssu.ac.ir/article-1-115-fa.html. Doi: 10.18502/ohhp.v2i4.442. [In Persian]
    7. Shams G, Tari F, Rezaeezadeh M. Identification of fundamental and managerial challenges of applying E-learning in human resources education. Research in Teaching. 2019 Sep 23; 7(3):116-91. Doi: 10.34785/J012.2019.981. ]In Persian[
    8. Diez F, Bussin M, Lee V. Fundamentals of HR analytics: A Manual on becoming HR analytical. Emerald Publishing Limited; 2019 Nov 11.
    9. Thomas K, Bonny. HR Analytics: History, Present & The Future. International Journal of Scientific Research in Engineering and Management. 2023 Mar; 7(3):1-22. Doi: 10.55041/ijsrem18325.
    10. Van den Heuvel S, Bondarouk T. The rise (and fall?) of HR analytics: A study into the future application, value, structure, and system support. Journal of Organizational Effectiveness: People and Performance. 2017 Jun 5; 4(2):157-78. DOI: 10.1108/JOEPP-03-2017-0022.
    11. Kremer K. HR analytics and its moderating factors. Vezetéstudomány-Budapest Management Review. 2018; 49(11):62-8. DOI: 10.14267/VEZTUD.2018.11.07.
    12. Aghaz A, Sheikh A, Amirkhani T. Human Resource Management in the Public Sector: An Investigation into the Iranian Ministries. Iranian Journal of Management

    Studies, (2017); 10(3):667-695. Doi: 10.22059/IJMS.2017.219684.672354.

    1. Damari B, Ehsani-Chimeh E. Status of Human resources management in Iran's health sector and the path to development: A qualitative study. Med J Islam Repub

    Iran. 2019 Jul 16; 33:69. Doi: 10.34171/mjiri.33.69. PMID: 31456993; PMCID: PMC6708093.

    1. Sefiddashti SE, Arab M, Ghazanfari S, Kazemi Z, Rezaei S, Karyani AK. Trends of geographic inequalities in the distribution of human resources in healthcare

    system: the case of Iran. Electron Physician. 2016 Jul 25; 8(7):2607-13. Doi: 10.19082/2607. PMID: 27648186; PMCID: PMC5014498.

    1. Ehsani Farid E, Gheitani A, Ebrahimzadeh R, Hadi Peykani M. Investigating Discourses and Analyzing the Situation of Human Resource Management Information

    Systems in Isfahan University of Medical Sciences: A Qualitative Study. Health Inf Manage 2023; 20(2):100-107. DOI: 10.48305/him.2023.41937.1131. [In

    Persian]

    1. Lavis JN, Lomas J, Hamid M, Sewankambo NK. Assessing country-level efforts to link research to action. Bulletin of the World health Organization. 2006 Aug;

    84(8):620-8. DOI:10.2471/BLT.06.030312.

    1. Zalani GS, Shokri A, Mirbahaeddin E, Kashkalani T, Khalilnezhad R, Bayat M. Projection of health sector workforce requirement: Vision 2025. Iranian Journal

    of Public Health. 2021 Jul; 50(7):1463. DOI:10.18502/ijph.v50i7.6637.

    1. Ratnam DS, Devi VR. Addressing impediments to HR analytics adoption: Guide to HRD professionals. Human Resource Development International. 2024 Jan 1;

    27(1):142-51. Doi: 10.1080/13678868.2023.2195986.

    1. Rex T, Bhattacharya S, Narayanan K, Budhwar P. Opportunities and barriers in the practice of human resource analytics. InHuman & Technological Resource

    Management (HTRM): New Insights into Revolution 4.0 2020 Nov 16 (pp. 53-72). Emerald Publishing Limited. Doi: 10.1108/978-1-83867-223-220201004.

    1. Fernandez V, Gallardo-Gallardo E. Tackling the HR digitalization challenge: key factors and barriers to HR analytics adoption. Competitiveness Review: An

    International Business Journal. 2021 Jan 17; 31(1):162-87. Doi: 10.1108/CR-12-2019-0163.

    1. Cayrat C, Boxall P. Exploring the phenomenon of HR analytics: a study of challenges, risks and impacts in 40 large companies. Journal of Organizational

    Effectiveness: People and Performance. 2022 Jul 12; 9(4):572-90. Doi: 10.1108/joepp-08-2021-0238.

    1. Guba EG. Criteria for assessing the trustworthiness of naturalistic inquiries. Ectj. 1981 Jun; 29(2):75-91.
    2. Liu L, Akkineni S, Story P, Davis C. Using HR analytics to support managerial decisions: a case study. InProceedings of the 2020 ACM Southeast Conference

    2020 Apr 2 (pp. 168-175). DOI: 10.1145/3374135.3385281.

    1. Guo R, Yan L, Li Y, Li Z, Gao Y. Challenges and prospects of human resource management under the background of big data. Advances in Education, Humanities

    and Social Science Research. 2023 Jun 30; 6(1):20-25. DOI:10.56028/aehssr.6.1.20.2023.

    1. Tursunbayeva A, Di Lauro S, Pagliari C. People analytics—A scoping review of conceptual boundaries and value propositions. Internationaljournal of information

    management. 2018 Dec 1; 43(5): 224-247. DOI:10.1016/j.ijinfomgt.2018.08.002.

    1. Rane AB, Sunnapwar VK, Rane S. Strategies to overcome the HR barriers in successful lean implementation. International Journal of Procurement Management.

    2016; 9(2):223-47. DOI: 10.1504/IJPM.2016.075266.

    1. Levenson A, Fink A. Human capital analytics: too much data and analysis, not enough models and business insights. Journal of Organizational Effectiveness:

    People and Performance. 2017 Jun 5; 4(2):145-56. DOI: 10.1108/JOEPP-03-2017-0029.