Using the Principles of the Holistic Wellness Concept in Designing and Developing Hospital Services: Case of Pärnu Hospital, Rehabilitation and Well-Being Centre

Tooman, Heli; Piirman, Marit; Kärp, Margrit

doi:10.1007/978-3-030-87273-1_10

Cited by 1 publication

(1 citation statement)

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“…According to [27], no matter how easy or complex a situation may be, if medical personnel do not respond in a timely manner, the health of patients is put in question and is no longer secure. Healthcare professionals are indispensable for the health and well-being of the patient [28]. Figure 1 demonstrates the problem that can arise from a static approach to human resource management.…”

Section: Introductionmentioning

confidence: 99%

Multi-Hospital Management: Combining Vital Signs IoT Data and the Elasticity Technique to Support Healthcare 4.0

Fischer,

Ramos,

Costa

et al. 2024

IoT

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Smart cities can improve the quality of life of citizens by optimizing the utilization of resources. In an IoT-connected environment, people’s health can be constantly monitored, which can help identify medical problems before they become serious. However, overcrowded hospitals can lead to long waiting times for patients to receive treatment. The literature presents alternatives to address this problem by adjusting care capacity to demand. However, there is still a need for a solution that can adjust human resources in multiple healthcare settings, which is the reality of cities. This work introduces HealCity, a smart-city-focused model that can monitor patients’ use of healthcare settings and adapt the allocation of health professionals to meet their needs. HealCity uses vital signs (IoT) data in prediction techniques to anticipate when the demand for a given environment will exceed its capacity and suggests actions to allocate health professionals accordingly. Additionally, we introduce the concept of multilevel proactive human resources elasticity in smart cities, thus managing human resources at different levels of a smart city. An algorithm is also devised to automatically manage and identify the appropriate hospital for a possible future patient. Furthermore, some IoT deployment considerations are presented based on a hardware implementation for the proposed model. HealCity was evaluated with four hospital settings and obtained promising results: Compared to hospitals with rigid professional allocations, it reduced waiting time for care by up to 87.62%.

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Section: Introductionmentioning

confidence: 99%