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1.
Health Aff (Millwood) ; 20(4): 196-208, 2001.
Article in English | MEDLINE | ID: mdl-11463077

ABSTRACT

Based on data from a 1999 national survey of 1,939 randomly selected employers, this paper examines the policies that affect the percentage of workers eligible for and enrolled in a firm's health plan. In 1994, 14 percent of employees worked for a firm offering cash-back payments, but fewer than 1 percent worked for a firm with income-related premiums or deductibles. The strongest determinants of eligibility rates are the waiting time for new employees before they are deemed eligible, and eligibility standards for part-time workers. The primary determinants of the take-up rate are lowest monthly employee contribution for single coverage, and the percentage of the workforce earning less than $20,000 per year.


Subject(s)
Community Participation , Health Benefit Plans, Employee/statistics & numerical data , Data Collection , Deductibles and Coinsurance , Eligibility Determination , Employee Incentive Plans , Health Benefit Plans, Employee/organization & administration , Insurance Coverage , Multivariate Analysis , Organizational Policy , United States
2.
J Healthc Manag ; 45(4): 240-9; discussion 249-53, 2000.
Article in English | MEDLINE | ID: mdl-11067416

ABSTRACT

Clinical decision support (CDS) systems, with the potential to minimize practice variation and improve patient care, have begun to surface throughout the healthcare industry. This study reviews historic patterns of information technology (IT) in healthcare, analyzes barriers and enabling factors, and draws three lessons. First, the widespread adoption of clinical IT, including CDS systems, depends on having the right organizational and individual financial incentives in place. Second, although CDS systems and clinical IT in general are powerful tools that can be used to support the practice of medicine, they alone cannot redefine the workflow or processes within the profession. Healthcare managers counting on technology to restructure or monitor clinicians' work patterns are likely to encounter substantial resistance to CDS systems, even those that generate valuable information. Third, while the pace of implementing IT systems in healthcare has lagged behind that of other industries, many of the obstacles are gradually diminishing. However, several factors continue to inhibit their widespread diffusion, including the organizational turmoil created by large numbers of mergers and acquisitions, and the lack of uniform data standards.


Subject(s)
Decision Support Systems, Clinical/supply & distribution , Diffusion of Innovation , Hospital Administration , Attitude to Computers , Boston , Costs and Cost Analysis , Decision Support Systems, Clinical/economics , Interviews as Topic , New York City
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