Biomedical subjects
J Halamka
Publications and source records attributed to J Halamka.
A fix for data overload. CareGroup, Boston.
PROBLEM: Merger of seven hospitals into one network made existing information systems inadequate to track and control financial information. SOLUTION: Creation of a merged data movement and data integration solution to manage large files and complex, varied transactions. RESULTS: Data loading time significantly reduced, information updating more timely, data integration greatly enhanced. KEYS TO SUCCESS: Comparison testing of data-management products and on-site evaluation for applicability to specific needs.
Academic emergency medicine's future. The SAEM Task Force on Emergency Medicine's Future. Society for Academic Emergency Medicine.
Emergency medicine (EM) will change over the next 20 years more than any other specialty. Its proximity to and interrelationships with the community, nearly all other clinicians (physicians and nonphysicians), and scientific/technologic developments guarantee this. While emergency physicians (EPs) will continue to treat both emergent and nonemergent patients, over the next decades our interventions, methods, and place in the medical care system will probably become unrecognizable from the EM we now practice and deliver. This paper, developed by the Society for Academic Emergency Medicine (SAEM) Task Force on Academic Emergency Medicine's Future, was designed to promote discussions about and actions to optimize our specialty's future. After briefly discussing the importance of futures planning, it suggests "best-case," "worst-case," and most probable future courses for academic EM over the next decades. The authors predict that EPs will practice a much more technologic and accurate form of medicine, with diagnostic, patient, reference, and consultant information rapidly available to them. They will be at the center of an extensive consultation network stemming from major medical centers and the purveyors of a sophisticated home health system, very similar to or even more advanced than what is now delivered on hospital wards. The key to planning for our specialty is for EM organizations, academic centers, and individuals to act now to optimize our possible future.
Estimation of the frequency of malformed sperm by slit scan flow cytometry.
We have investigated the utility of Slit Scan Flow Cytometry (SSFCM) for measuring the frequencies of malformed sperm heads in control and mutagen treated B6C3F1/CRL mice. In SSFCM, fluorescence profiles of sperm heads stained with the DNA-specific fluorescent dye acriflavine were recorded for sperm flowing lengthwise through a 2.5-microns-thick laser beam. Malformed sperm were detected as having fluorescence profiles that differed substantially from an average fluorescence profile for sperm from untreated mice. Specifically, a sum of squared difference (SSD) value was calculated for the fluorescence profile of each sperm according to the equation (Formula: see text) where c(i) and t(i) are the ith values for the fluorescence profiles from control and test sperm, respectively. Profiles whose SSD exceeded a threshold value of 20 were considered to be from malformed sperm. We measured fluorescence profiles for 500 sperm per mouse from five control mice, five mice injected intraperitoneally daily for 5 days with a total of 375 mg/kg of body weight methyl methane sulfonate (MMS), and for 30 mice injected intraperitoneally daily for 5 days with total doses of procarbazine ranging from 125 mg/kg to 1,250 mg/kg. Sperm were collected from the caudae epididymides 35 days after the last injection. Frequencies of malformed sperm in these samples were also estimated by visual analysis. All samples were analyzed in double blind fashion. The visual and SSFCM malformed sperm frequencies for the samples from control, MMS-treated, and procarbazine-treated mice were correlated (r = 0.83). A dose effect was seen with both the visual and SSFCM estimates for the sperm from the procarbazine-treated mice.