A framework to improve surgery roadmap efficiency based on design thinking, lean manufacturing techniques, and operations research applications

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Resumen

A surgery patient is a unique medical patient due to its requirements, not in the
treatment itself but its prevention of post-operative complications affecting the
user's close circle experience. Indeed, the patient journey is a crucial cross functional business process because of the action and information flow between
stakeholders and medical systems. Poor patient flow can reduce productivity,
increase the risk of harming patients, and reduce the level of quality perceived
by patients. Thus, hospitals can enhance the quality of the processes by
understanding this roadmap.
Consequently, this work focuses on establishing a framework that details the
medical patient roadmap considering three approaches: Design Thinking (DT),
Lean Manufacturing Techniques, and Operations Research Applications (OR).
This work implements the Lean manufacturing Techniques in healthcare (a.k.a.,
Lean Healthcare) to describe the roadmap's processes, bottlenecks, and
mapping value. In parallel, the Design Thinking tools help to draw solutions
through co-creation processes, including various stakeholders such as doctors,
nurses, engineers, patients, and support staff. Finally, the Simulation tools help
enhance the rapid prototyping regarding the roadmap's process modification
Idioma originalInglés
Título de la publicación alojadaA framework to improve surgery roadmap efficiency based on design thinking, lean manufacturing techniques, and operations research applications
EditorialUniversidad Politécnica de Valencia
Páginas65
Número de páginas72
ISBN (versión digital)9788413960364
DOI
EstadoPublicada - 3 jun. 2023

Palabras clave

  • Lean Healthcare
  • Practical Innovation
  • Framework
  • Efficient
  • Operational Research
  • Optimization
  • Simulation
  • Design Thinking
  • co-creation
  • Data analysis

Líneas de Investigación UNAB

  • Creatividad e Innovación
  • Finanzas corporativas

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