title: 1996 survey of salaries & responsibilities for hospital biomedical/clinical engineering & technology personnel.
abstract: The Journal of Clinical Engineering conducted its eleventh annual survey of the salaries paid to biomedical/clinical engineering and technology personnel in U.S. hospitals. This paper reports the salary and work responsibility data obtained from 907 professionals in relationship to: Certification; Region of the U.S.; Teaching versus Nonteaching Facilities; Years of Experience; Education; Union Membership; and Gender. Data are included on Wage Increases and Job Responsibilities. Data are as of 12/31/95 and are compared with data as of 12/31/94. The average BMET I has 3.6 years of experience and earns $24,439 + $5,800 (nationwide mean + standard deviation). The average BMET II has 7.4 years of experience and earns $32,592 + $7,300. The average BMET III has 14.7 years of experience and earns $39,844 + $7,100. The average BMET Specialist has 16.1 years of experience and earns $44,484 + $10,400. The average BMET Supervisor has 15.4 years of experience and earns $42,939 + $8,500. The average Clinical Engineer has 11.7 years of experience and earns $44,844 + $9,600. CE Supervisors average 15.9 years of experience and have an average salary of $49,053 + $12,100. The overall group or department Director or Manager has 16.6 years of experience and earns $52,120 + $12,900 on average.
authors.forename: G F
authors.initials: GF
authors.lastname: Nighswonger
mesh_terms: D000328:Adult; D001698:Biomedical Engineering / Q000145:classification / Q000191:economics* / Q000706:statistics & numerical data; D002568:Certification / Q000191:economics; D003625:Data Collection; D004522:Educational Status; D005260:Female; D006740:Hospital Administrators / Q000191:economics / Q000706:statistics & numerical data; D006784:Hospitals, Teaching / Q000191:economics; D006801:Humans; D007587:Job Description; D008284:Maintenance and Engineering, Hospital / Q000191:economics* / Q000706:statistics & numerical data; D008297:Male; D010564:Personnel, Hospital / Q000145:classification / Q000191:economics* / Q000706:statistics & numerical data; D011365:Professional Practice Location / Q000191:economics / Q000706:statistics & numerical data; D012456:Salaries and Fringe Benefits / Q000706:statistics & numerical data*; D012737:Sex Factors; D011795:Surveys and Questionnaires; D013997:Time Factors; D014481:United States; D000078329:Workforce