title: Knowledge creation using artificial intelligence: a twin approach to improve breast screening attendance.
abstract: Knowledge management (KM) is rapidly becoming established as a core organizational element within the healthcare industry to assist in the delivery of better patient care. KM is a cyclical process which typically starts with knowledge creation (KC), progresses to knowledge sharing, knowledge accessibility and eventually results in new KC (in the same or a related domain). KC plays a significant role in KM as it creates the necessary "seeds" for propagating many more knowledge cycles. This paper addresses the potential of KC in the context of the UK's National Health Service (NHS) breast screening service. KC can be automated to a greater extent by embedding processes within an artificial intelligence (AI) based environment. The UK breast screening service is concerned about non-attendance and this paper discusses issues pertaining to increasing attendance.
authors.affiliation: Biomed. Comput. & Eng. Technol. Appl. Res. Group, Coventry Univ. v.baskar@coventry.ac.uk
authors.forename: Vikraman
authors.initials: V
authors.lastname: Baskaran
authors.forename: Rajeev K
authors.initials: RK
authors.lastname: Bali
authors.forename: Hisbel
authors.initials: H
authors.lastname: Arochena
authors.forename: Rauf N G
authors.initials: RN
authors.lastname: Naguib
authors.forename: Matthew
authors.initials: M
authors.lastname: Wallis
authors.forename: Margot
authors.initials: M
authors.lastname: Wheaton
mesh_terms: D001185:Artificial Intelligence; D001943:Breast Neoplasms / Q000453:epidemiology*; D005260:Female; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D019359:Knowledge; D008403:Mass Screening / Q000379:methods*; D013222:State Medicine; D006113:United Kingdom / Q000453:epidemiology