Visual Management in Healthcare: A Systematic Literature Review of Main Practices and Applications

Zani, Carolina Melecardi; Moura, Paula Kvitko de; Santos, Bruno Miranda dos; Saurin, Tarcísio Abreu

doi:10.1007/978-3-030-56920-4_15

Cited by 2 publications

(1 citation statement)

References 27 publications

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“…The evolution of Healthcare 4.0 started from Healthcare 2.0 that witnessed global advancements in medical electronics for instrumentation and measurements, and then of electronic health records evolving in Healthcare 3.0 stored on large scale relational databases for relational health analytics [22]. Healthcare 4.0 has taken it to the next level when electronic health records maintained by entire networks of healthcare organizations can be used to train machine learning to deliver deep data driven analytics for predicting serious health anomalies way before they actually occur (16], [21], [22], [23]. In the Healthcare 4.0 era, doctors and nurses of several hospitals can make use of predictive analytics to ensure timely healthcare intervention and admissions to the patients wherever they are present physically in a country [24].…”

Section: Vmentioning

confidence: 99%

Technology for Predictive Health Monitoring of Elderly and Vulnerable Citizens in Kenya using Healthcare 4.0: A Theoretical Review

Barasa,

Etene

2023

IJCSMC

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The traditional critical healthcare planning is based on periodic routine checks and a reactive strategy of interventions whenever the individuals have entered high risk states (such as heart attacks or strokes). The Healthcare 4.0 design is based on the principle of continuous predictive health monitoring such that the buildup process towards high risk states of individuals can be identified much before their critical levels thus ensuring proactive interventions by the hospitals. Kenya has significant potential to adopt Healthcare 4.0 technology using traditional information and networking components. This research investigates how Healthcare 4.0 can be used in predictive health monitoring of the elderly and vulnerable citizens that individual hospitals can adopt for operational excellence. Desktop review methodology was used. The technical literature review was used to define an operations algorithm. The results suggest that several customizations are needed in the traditional information and networking components to make them fit for predictive health monitoring. The individuals under critical monitoring should not be allowed high mobility as it has a negative effect on monitoring reliability and effectiveness. Healthcare 4.0 adoption in Kenya is feasible. Its operational details need to be defined with several tiers of customized solutions for different patient classes. There are some limitations found in this research, which should be kept in mind while designing and operating Healthcare 4.0 networks in Kenya.

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Section: Vmentioning

confidence: 99%

Technology for Predictive Health Monitoring of Elderly and Vulnerable Citizens in Kenya using Healthcare 4.0: A Theoretical Review

Barasa,

Etene

2023

IJCSMC

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Metody i narzędzia Lean Management w zarządzaniu szpitalem – studia przypadków

Bąk

2022

Zdrowie Publiczne I Zarządzanie

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Methods and tools of Lean Management in hospital management – case studies Lean Management is a management concept whose main goal is to support the management and employees in improving the entity. The concept of Lean Management is of particular importance in the healthcare sector. Its importance in the improvement of health care units resulted in the creation of a subdiscipline of management called Lean Healthcare. The main goal of the empirical research undertaken is to show the role and importance of selected Lean Management methods and tools in health care units. The main research method used in the research procedure was a case study of selected health care units that implemented Lean Management methods and tools in their facilities. The method of analyzing the content of documents of the surveyed units was also used. The most frequently used Lean Management methods and tools in the surveyed healthcare units include: Kaizen, Kanban, Just-in-Time, 5S, A3, Takt Time, Value Streams Mapping, Visual Management, Gemba, Pull system. The surveyed entities decided to implement them mainly due to the desire to eliminate the phenomenon of waste, improve the quality of services and improve the area of services provided. The research also showed that the LM methods and tools implemented by the surveyed units brought measurable organizational, operational, logistic, financial and image benefits. Lean Management in healthcare units brings measurable benefits and multi-range benefits. However, special attention should be paid to the barriers and difficulties that individuals in this sector may encounter in implementing LM methods and tools. The health care sector is specific, so implementing changes in the units representing it should take into account counteracting possible, identified implementation barriers.

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Visual Management in Healthcare: A Systematic Literature Review of Main Practices and Applications

Cited by 2 publications

References 27 publications

Technology for Predictive Health Monitoring of Elderly and Vulnerable Citizens in Kenya using Healthcare 4.0: A Theoretical Review

Technology for Predictive Health Monitoring of Elderly and Vulnerable Citizens in Kenya using Healthcare 4.0: A Theoretical Review

Metody i narzędzia Lean Management w zarządzaniu szpitalem – studia przypadków

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