PubMed Health⌕ Search

PubMed · 10280988

Clinical engineering program productivity and measurements.

Abstract

The health care delivery system is undergoing evolutionary changes that are also affecting Clinical Engineering. The integration of engineering and the life sciences created an industry whose "product" must be quality patient care. The utilization of technologies in the clinical environment is perpetually growing, and has created a need for professional technical management. The present changing environment requires Clinical Engineers to become effective leaders and efficient managers. The efficient consumption of an organization's resources is dependent on its managers' abilities to assess and optimize their operations under dynamic conditions. This paper describes some means for monitoring the clinical engineering department "output" and for measuring and reporting the relative changes in output, thus enhancing progress toward achievement of established goals. The tools and techniques offered here are not an end in themselves, but are rather a part of the process of maximizing productivity with a commitment to program output quality.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Y David, D Rohe. Clinical engineering program productivity and measurements.. https://doi.org/10.1097/00004669-198611000-00006

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Optimal design of non-Newtonian, micro-scale viscous pumps for biomedical devices.

The present paper addresses the numerical optimization of geometrical parameters of non-Newtonian micro-scale viscous pumps for biomedical devices. The objective is to maximize the mass flow rate per unit of shaft power consumed by the rotor when an external pressure load is applied along the channel that houses the rotor. Two geometric parameters are considered in the optimization process: (i) the height of the channel that houses the rotor (H) and (ii), the eccentricity (epsilon) of the rotor. Three different micro-scale viscous pump configurations were tested: a straight-housed pump (I-shaped housing) and two curved housed pumps (L- and U-shaped housings). The stress-strain constitutive law is modeled by a power-law relation. The results show that the geometric optimization of micro-scale viscous pumps is critical since the mass flow rate propelled by the rotor is highly dependent on epsilon and H. Numerical simulations indicate that mass flow rate is maximized when epsilon approximately 0, namely when the rotor is placed at a distance of 0.05 radii from the lower wall. The results also show that micro-scale viscous pumps with curved housing provide higher mass flow rate per unit of shaft power consumed when compared with straight-housed pumps. The results are presented in terms optimized dimensions of all three configurations (i.e., H(opt) and epsilon(opt)) and for values of the power-law index varying between 0.5 (shear thinning fluids) and 1.5 (shear-thickening fluids).

Biomedical Engineering↗