Leveraging artificial intelligence and decision support systems in hospital-acquired pressure injuries prediction: A comprehensive review

Toffaha, Khaled M.; Simsekler, Mecit Can Emre; Omar, Mohammed

doi:10.1016/j.artmed.2023.102560

Cited by 11 publications

(2 citation statements)

References 43 publications

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“…The subject, reflecting theoretical and practical aspects in the field of DSS, is of interest to different groups of specialists. The main part of the publications is devoted to general issues of a canonical nature in this subject area, for example [20], the use of spe- cific methods and models, a description of the application and related features of DSS in various functional areas (medicine [21][22][23], specialized universities [24], defense technology [25], coal preparation enterprises [26], forestry [27][28], transport [29], financial issues [30][31], etc. ), as well as a description of the DSS used in the form of specific software.…”

Section: Discussionmentioning

confidence: 99%

Influence of algorithmization and interface for the preparation of management decisions

Gutgarts

2023

Bus. Inform.

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In modern conditions, managerial decision-making is carried out using automated systems under the general name “Decision Support Systems” (DSS). When creating them, it is important to consider two key points. The first is the algorithmic component, which reflects the logic of the system as a whole and its individual parts. The second is the application interface through which the user interacts with it. The interface is a graphical interpretation of the algorithms that are implemented within the system. Therefore, it is very important to design and create such a relationship between the algorithm and the interface so that the user is as comfortable as possible using the DSS to solve current tasks (information input, its processing, presentation and analysis for decision making). Thus, there is a directly proportional relationship between the interface and the algorithm. Moreover, despite the fact that there are many studies on these aspects, both theoretical and practical, there are still questions to which one should pay attention to in terms of application. The purpose of this study is to formulate practical recommendations to prevent the entry of incorrect information into the DSS database and to present the results in a form convenient for its analysis. The main tasks of the work are to show by means of examples which errors can contribute to the entry of unreliable information into the database, as well as how best to present information on the monitor screen in accordance with the psychophysiological characteristics of a person in order to reduce the time for its analysis and decision-making.

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Section: Discussionmentioning

confidence: 99%

Influence of algorithmization and interface for the preparation of management decisions

Gutgarts

2023

Bus. Inform.

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“…Multiple studies have explored determining and measuring ill-defined wound boundaries using techniques that simplify images down to the pixel level ( 58 – 61 ). Recent work has been done to apply these techniques into broader hospital systems to predict pressure ulcers ( 62 ), with the ultimate goal of pressure ulcer prevention ( 63 , 64 ). Groups have even explored using body heat maps from pressure mats to identify poor in-bed position posture that could cause pressure ulcers ( 65 ).…”

Section: Applications Of Ai In Dermatologymentioning

confidence: 99%

Principles, applications, and future of artificial intelligence in dermatology

Omiye,

Gui,

Daneshjou

et al. 2023

Front. Med.

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This paper provides an overview of artificial-intelligence (AI), as applied to dermatology. We focus our discussion on methodology, AI applications for various skin diseases, limitations, and future opportunities. We review how the current image-based models are being implemented in dermatology across disease subsets, and highlight the challenges facing widespread adoption. Additionally, we discuss how the future of AI in dermatology might evolve and the emerging paradigm of large language, and multi-modal models to emphasize the importance of developing responsible, fair, and equitable models in dermatology.

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Future Direction of Wound Care

Martin

2024

Nursing Clinics of North America

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Leveraging artificial intelligence and decision support systems in hospital-acquired pressure injuries prediction: A comprehensive review

Cited by 11 publications

References 43 publications

Influence of algorithmization and interface for the preparation of management decisions

Influence of algorithmization and interface for the preparation of management decisions

Principles, applications, and future of artificial intelligence in dermatology

Future Direction of Wound Care

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