title: Data collection automation and total quality management: case studies in the health-service industry.
abstract: The limitations, immeasurable, and seemly unquantifiable aspects of the healthcare service industry, make it imperative that quality assurance programs include total quality management (TQM) and automatic identification and data capture (AIDC)-related technologies. Most of standards used in TQM and AIDC require data, to measure improvement and achieve standardization. Major difference between managing a service firm and managing a product-manufacturing firm is the difficulty of achieving consistently high quality. Examination of two different healthcare service providers in the Pittsburgh, Pennsylvania area offers different views as to the implementation and practice of total quality management techniques and AIDC integration. Since the healthcare service industry must take into account its high customization needs, there are positive steps to make the hospital structure itself more patient friendly and quality related; hence improving its heath-marketing strategies to the general public.
authors.affiliation: Department of Management and Marketing, Robert Morris University, Pittsburgh, PA 15219-3099, USA. smitha@rmu.edu
authors.forename: Alan D
authors.initials: AD
authors.lastname: Smith
authors.forename: O Felix
authors.initials: OF
authors.lastname: Offodile
mesh_terms: D000068:Accreditation; D003625:Data Collection / Q000379:methods*; D001330:Electronic Data Processing; D006296:Health Services / Q000592:standards*; D006298:Health Services Administration / Q000592:standards; D006787:Hospitals, Veterans / Q000458:organization & administration; D019300:Medical Errors / Q000517:prevention & control; D008991:Monitoring, Physiologic; D017749:Total Quality Management; D014481:United States