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Home / Equine Research Bank / Animals (Basel) / Socio-Technical Analysis of the Benefits and Barriers to Usi...
Animals : an open access journal from MDPI2023; 13(22); 3557; doi: 10.3390/ani13223557

Socio-Technical Analysis of the Benefits and Barriers to Using a Digital Representation of the Global Horse Population in Equine Veterinary Medicine.

Abstract: There is a consensus that future medicine will benefit from a comprehensive analysis of harmonized, interconnected, and interoperable health data. These data can originate from a variety of sources. In particular, data from veterinary diagnostics and the monitoring of health-related life parameters using the Internet of Medical Things are considered here. To foster the usage of collected data in this way, not only do technical aspects need to be addressed but so do organizational ones, and to this end, a socio-technical matrix is first presented that complements the literature. It is used in an exemplary analysis of the system. Such a socio-technical matrix is an interesting tool for analyzing the process of data sharing between actors in the system dependent on their social relations. With the help of such a socio-technical tool and using equine veterinary medicine as an example, the social system of veterinarians and owners as actors is explored in terms of barriers and enablers of an effective digital representation of the global equine population.
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Publication Date: 2023-11-17 PubMed ID: 38003173PubMed Central: PMC10668776DOI: 10.3390/ani13223557Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research paper investigates the benefits and potential barriers in using a digital representation of global horse population data for improvements in equine veterinary medicine, using a socio-technical matrix to analyze the data sharing process within the system.

Socio-Technical Analysis

  • The paper utilizes a socio-technical matrix to explore the interaction between social and technical aspects in equine veterinary medicine.
  • This matrix serves as a tool to break down and understand the process of data sharing between different actors in the system (in this case, veterinarians and horse owners) based on their social relations.
  • Not only does it consider the technical elements involved in collecting and processing data, but it also takes into account the organizational factors influencing this process.

Benefits of a Digital Representation of the Global Horse Population

  • The study recognises the potential advantages of a comprehensive analysis of interconnected and interoperable health data in medicine, particularly in veterinary diagnostics.
  • One key highlight is the Internet of Medical Things, which monitors health-related parameters; this technology is seen as a significant source of such data.
  • Effective usage of a digital representation of the global equine population promises better disease control and health management strategies, leading to significant improvement in equine veterinary medicine.

Barriers and Enablers

  • While recognizing the potential benefits, this study also strives to understand the constraints and barriers that hinder the effective adoption of digital tools in the ecosystem.
  • Possible issues could arise from privacy concerns, a lack of technical skills or understanding, reluctance to adopt new technologies, and legal or organizational barriers.
  • The paper discusses these challenges in depth and suggests solutions or facilitators to overcome these obstacles, thereby promoting more effective data sharing and usage in the field of equine veterinary medicine.

Cite This Article

APA
Sterkenburgh TR, Villalba-Diez J, Ordieres-Meré J. (2023). Socio-Technical Analysis of the Benefits and Barriers to Using a Digital Representation of the Global Horse Population in Equine Veterinary Medicine. Animals (Basel), 13(22), 3557. https://doi.org/10.3390/ani13223557

Publication

Animals : an open access journal from MDPI
ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 13
Issue: 22
PII: 3557

Researcher Affiliations

Sterkenburgh, Tomas Rudolf
  • DEGIN Doctorate Program, Universidad Politécnica de Madrid, 28006 Madrid, Spain.
  • Independent Consultant in Veterinary Medicine, 46535 Dinslaken, Germany.
Villalba-Diez, Javier
  • Faculty of Economics, Heilbronn University of Applied Sciences, 74081 Heilbronn, Germany.
Ordieres-Meré, Joaquín
  • Department of Industrial Management, Universidad Politécnica de Madrid, 28006 Madrid, Spain.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as potential conflicts of interest.

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