Surgeon analyzing digital medical imageEngineering and medicine have a long history of collaboration and success, either in the development of technologies (devices, equipment, drugs, etc…), as support for research and development. Engineering has changed completely the sciences such as biotechnology, bionics, biochemistry, genetics, among others and it holds the promise of advances in diagnostic tools and application of therapies. That speaks of a continued vitality in this society where medicine and engineering participates.

Information and communication technologies have been used in many other sectors associated with the medical industry, however some principles and tools of engineering have been left out the improvement of health care. Disciplines such as financial engineering, operations research and design of systems among others, have positively transformed many services and processes that have changed our way of life.

History has shown us that there is a series of exchanges, for all concerned, when it comes to implement technological tools. The mission of transforming medical industry must consider the perspectives, priorities and goals of each of its participants - patients, doctors, nurses, administrators, insurers, regulators and others, providing a benefit to all.  
This exchange has been reflected in each of the technological revolutions that other sectors have had; experience has shown that the result is successful for everyone.

Engineering has vast experience implementing technology in various sectors and industries. It has enough tools, methods, techniques and skills to implement functions and provide technological dynamism to complex systems, allowing interaction between systems, subsystems and processes. The engineers have the ability to understand and manage the tension that is generated between the interested parties at the time of such deployment.

Engineering tools and techniques can be used to optimize the performance and achieve goals in health care administration, such as safety, effectiveness, time improvement and yield maximization, while anticipates, measures and manages the effects of these interventions in the metasystem, such as equity, efficiency and productivity.

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