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Recommended Citation: Alijani, G S and R N S Tadimalla. Toward an Automated Patient Care System (APCS) In The Proceedings of the Information Systems Education Conference 2000, v 17 (Philadelphia): §540.

Toward an Automated Patient Care System (APCS)

Handout

Ghasem S. Alijani    [a1] [a2]
Southern University at New Orleans    [u1] [u2]
New Orleans, Louisiana, USA    [c1] [c2]

Raghuram N. S. Tadimalla    [a1] [a2]
Southern University at New Orleans    [u1] [u2]
New Orleans, Louisiana, USA    [c1] [c2]

Improvements in technology call for the development of patient care systems that can alleviate problems encountered due to decrease in the workforce of hospitals. The systems developed for patient care and clinical care should be real-time systems that can perform required functions. Criticality of patients' health should be taken into consideration while developing these systems. Simulation modeling helps solve the problem in the design of patient care systems. Automated Patient Care System (APCS) encompasses the requirements in hospitals that specifically address the needs of in-patients. APCS aims at the design and implementation of a highly reliable real-time model that provides the means to investigate the feasibility of an automated patient care system. Systems that perform critical missions in unpredictable environments require a significant consideration in efficient use of the available resources. Further, the underlying system requirements should be taken into consideration. The APCS model will address all the criticalities involved and will result in effective implementation of real-time system. The model should be of interest to medical professionals, hospitals and clinics, and the officials of the Health Department as it focuses on the system design and lays out the groundwork for a complete automated system supported by real-time task scheduling and incremental learning techniques for effective performance in unpredictable environments.

Keywords: APCS, critical mission, patient care systems, adaptive learning, hard real-time task scheduling, real-time task scheduling, task scheduling

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