Initiatives toward effective decision making and laboratory use

Abstract

Escalating health care costs constitute a public issue of paramount importance today, Among the leading growth factors in this rise is the cost of hospital services, notably laboratory services. With respect to the clinical laboratory, rising costs appear to be almost entirely attributable to expanding utilization and introduction of new services. The clinical laboratory has gone through a technological revolution in two decades that has changed it from a largely manual to a highly automated system of great speed and capacity. This change has produced a change in the style of providing services, a change that includes the provision of quantities of unsolicited data. A parallel change in the style of use of the laboratory has taken place on the part of patient care physicians from a relatively sparing, problem oriented use pattern to a relatively lavish, data oriented one. These reciprocal changes have transformed medicine, in the United States, at least, into a relatively high laboratory use culture. Abandonment of the new technology and return to a simpler, more primitive laboratory world would be a drastic and most inappropriate response to the new situation. Furthermore, arbitrary measures such as rationing, quotas, and tariffs are, if enacted, almost certain to fail. The most effective long term strategies, though more demanding of time and effort, lie through modification of physician behavior through the pathways of education and research. Educational and research initiatives now in progress can in time influence laboratory use patterns of physicians at all career levels, improving the logic of test use and providing more strategic, prudent, and cost effective overall laboratory utilization practices. These approaches will require much improved communication between laboratory and bedside and a new intense involvement of laboratory physicians and scientists in the tasks of helping to improve the use of laboratory tests and laboratory data.