Public articles linked to the same research event.
PLOS global public health This Opinion article proposes Workforce Science, arguing that amid population ageing, epidemiological transition, widening inequities and the rapid embedding of artificial intelligence, the health and care workforce should be reframed from a supply question of how many workers to educate and employ into a question of how hybrid human–AI capability, generated jointly by people, teams and intelligent technologies, is measured, analysed and stewarded; it offers a construct of effective capability (C*) as a function of education financing, education quality, labour, the human–AI dynamic, governance capacity and the conditions, rights and realities of work, together with a five-layer path of definition, measurement, analysis, governance and stewardship.
This Opinion article proposes Workforce Science, arguing that amid population ageing, epidemiological transition, widening inequities and the rapid embedding of artificial intelligence, the health and care workforce should be reframed from a supply question of how many workers to educate and employ into a question of how hybrid human–AI capability, generated jointly by people, teams and intelligent technologies, is measured, analysed and stewarded; it offers a construct of effective capability (C*) as a function of education financing, education quality, labour, the human–AI dynamic, governance capacity and the conditions, rights and realities of work, together with a five-layer path of definition, measurement, analysis, governance and stewardship.
This Opinion article proposes Workforce Science, arguing that amid population ageing, epidemiological transition, widening inequities and the rapid embedding of artificial intelligence, the health and care workforce should be reframed from a supply question of how many workers to educate and employ into a question of how hybrid human–AI capability, generated jointly by people, teams and intelligent technologies, is measured, analysed and stewarded; it offers a construct of effective capability (C*) as a function of education financing, education quality, labour, the human–AI dynamic, governance capacity and the conditions, rights and realities of work, together with a five-layer path of definition, measurement, analysis, governance and stewardship.
This Opinion article proposes Workforce Science, arguing that amid population ageing, epidemiological transition, widening inequities and the rapid embedding of artificial intelligence, the health and care workforce should be reframed from a supply question of how many workers to educate and employ into a question of how hybrid human–AI capability, generated jointly by people, teams and intelligent technologies, is measured, analysed and stewarded; it offers a construct of effective capability (C*) as a function of education financing, education quality, labour, the human–AI dynamic, governance capacity and the conditions, rights and realities of work, together with a five-layer path of definition, measurement, analysis, governance and stewardship.