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Cited by 28AI and HR TechnologiesHuman Resource and Talent ManagementHealthcare Operations and Scheduling Optimization

Health services in Australia and the impact of antiquated rostering practices on medical scientists: A case for HR analytics and evidenced-based human resource management

Open access
Cavanagh, Jillian, Bartram, Timothy, Walker, Matthew, Pariona-Cabrera, Patricia, Halvorsen, Beni·2024·Personnel Review
DOI 10.1108/pr-09-2021-0690
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Abstract

Purpose: The purpose of this study is to examine the rostering practices and work experiences of medical scientists at four health services in the Australian public healthcare sector. There are over 16,000 medical scientists (AIHW, 2019) in Australia responsible for carrying out pathology testing to help save the lives of thousands of patients every day. However, there are systemic shortages of medical scientists largely due to erratic rostering practices and workload issues. The purpose of this paper is to integrate evidence-based human resource management (EBHRM), the LAMP model and HR analytics to enhance line manager decision-making on rostering to support the wellbeing of medical scientists. Design/methodology/approach: Using a qualitative methodological approach, the authors conducted 21 semi-structured interviews with managers/directors and nine focus groups with 53 medical scientists, making a total 74 participants from four large public hospitals in Australia. Findings: Across four health services, manual systems of rostering and management decisions do not meet the requirements of the enterprise agreement (EA) and impact negatively on the wellbeing of medical scientists in pathology services. The authors found no evidence of the systematic approach of the organisations and line managers to implement the LAMP model to understand the root causes of rostering challenges and negative impact on employees. Moreover, there was no evidence of sophisticated use of HR analytics or EBHRM to support line managers' decision-making regarding mitigation of rostering related challenges such as absenteeism and employee turnover. Originality/value: The authors contribute to HRM theory by integrating EBHRM, the LAMP model (Boudreau and Ramstad, 2007) and HR analytics to inform line management decision-making. The authors advance understandings of how EBHRM incorporating the LAMP model and HR analytics can provide a systematic and robust process for line managers to make informed decisions underpinned by data.

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  • People analytics can enhance the wellbeing of employees by actively leveraging data-driven insights to improve rostering practices for healthcare workers.

    “Similarly; as shown by Cavanagh et al. (2024); people analytics can also enhance the wellbeing of employees by actively leveraging data-driven insights to improve rostering practices for healthcare workers.”

    From Reframing people analytics value creation: Balancing organizational performance and common good HRM values (2026) · cites this paper as Cavanagh et al. (2024)

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Related

Authors
Cavanagh, J., Bartram, T., Walker, M., Pariona-Cabrera, P., & Halvorsen, B.
Affiliations
RMIT University (AU)
ORCID
Venue
Personnel Review
Publisher
Emerald
Published
2022-09-20
Volume
53
Issue
1
Pages
18-33
ISSN
0048-3486 (ISSN-L)
DOI
10.1108/pr-09-2021-0690
OpenAlex
W4296160174
Cited by
28
References
30
Citations by year
2026: 7 · 2025: 10 · 2024: 11
FWCI
4.96
Type
journal article
Language
en
Open access
Licence
Locations
  • Personnel Review (publishedVersion)
  • Figshare (submittedVersion, cc-by)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Human Resource and Talent Management
  • Health Sciences › Health Professions › Emergency Medical Services › Healthcare Operations and Scheduling Optimization
Keywords
medical researchers, HR analytics, employee well-being, pathology services, workforce shortage, absenteeism, employee turnover, enterprise agreements, public hospitals, Australia

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