Hu Resources Replaces Human Resources in Health Care

Hu Resources Replaces Human Resources in Health Care

Emmett Davis (Hennepin County (MN) Human Services and Public Health Department, USA)
DOI: 10.4018/978-1-4666-1601-1.ch082
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Intelligent technologies are exponentially approaching the stage where healthcare professionals must begin to plan for the management of “hu” (human, software, and robotic) resources, replacing management of human resources alone in isolation from other intelligences. The healthcare industry in multiple levels and ways must begin to plan for human resources in health care to extend existing and to develop new conceptual and behavioral skills in order for humans, intelligent software, and robots to optimally partner with each other. The interaction among hu resources will be active and carried out in multiple modes and intellectual and emotional intensities. Healthcare professionals, who shape the social and cultural institutions around intelligence and active knowledge, can optimize the impact and performance of this intelligence partnership.
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More important than the distraction of artificial intelligence is the shift in our relationship with intelligent hus. We will no longer be passive users of artificial intelligence as one would use an essentially static hammer or an electronic medical record system. We are becoming partners, co-evolving soft and hard hus with ourselves. Intelligent systems follow user-driven design and learn and improve with usage. Usage rather than form will determine function.

Machine systems, such as automobiles, that we use today are often mass produced. The basics made available to us at the point of purchase are determined in the factory. We can order a vehicle made from standard parts, choosing among those standard parts. Our vehicle is either a heavy-duty pickup or a small car suitable for just two people around town. Other than deteriorating, most of our vehicles will not evolve as we use them.

Intelligent systems will evolve as we use them. Today’s voice recognition system evolves and improves with our use. Intelligent systems will develop functionality by seeking out modules and features to add to themselves as we, and they, need them. The challenge will be as individuals, wet hus, and teams use them within corporate environments. As professionals move from one corporate environment to another, they will want to take their version of a system with them. Also if licensing bodies and corporations seek certified consistency, a professional’s intelligent systems will need to learn this and map variations from the original version to its current state.

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