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Healthcare systems are very complex to understand and manage. In order to improve their behaviour it is necessary to study and propose new policies and novel management approaches.
The TC on Automation in Health Care Management (AHM) promotes the application of theoretical and technological automation approaches in healthcare, communication and information processing, allocation and management of technical, human and financial resources.
• The provision of decision support systems for adoption within a telematic health care framework
• The application of a wide range of advanced knowledge-based and statistically-based methods for the interpretation of biomedical signals
• The application of the optimization, scheduling, simulation and modeling approaches to improve healthcare systems.
• Optimization and scheduling
• Resource allocation problems
• Discrete and Hybrid approaches
• Distributed and modular approaches
• Modelling and Simulation
• Decision Support Systems
• Process and Data Mining
• Ambient Assisted Living
• Patient flow
• Hospital departments
• Medical workflow
• Emergency procedures
• Surgery management
• Hospital drug logistics
• Diagnostic laboratories
• Hospital admission
• Home care
• Technology assessment
• Health Problem Detection
• Activities Daily Living
IEEE RAS TC for Automation in Health Care Management Call for Student Representatives 2026
We are excited to announce an open position for the “Student Representative” to support the activities of the Technical Committee for Automation in Health Care Management. This is an opportunity for the TC to engage talented students and strengthen the TC’s involvement with the next generation of researchers.
TC Website: https://www.ieee-ras.org/automation-in-health-care-management/
Role Description:
As a Student Representative, you will work closely with the Co-Chairs of the Technical Committee and assist in the organization and coordination of technical activities. Your responsibilities will include:
Note that this is a comprehensive list of responsibilities for the entire team of Student Representatives. Your workload will not exceed an average of 1 hour per week throughout your appointment.
Requirements:
Benefits:
If you meet the requirements and are excited about the opportunity to contribute to the community, we encourage you to apply.
By Feb 15, 2026, please submit to the following link: https://forms.gle/sybL1nAi5gK9nEsk8
We look forward to your applications and the unique perspectives you will bring.
Best regards,
Hui Yang and Long Bai
On Behalf of the TC Co-chairs for Automation in Health Care Management
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