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In the Dutch setting, as in most other settings, in principal there is no time scheduled for working with CDSSs.

As noted earlier the occupational setting is more controlled than most other settings (e.g., homes, general outdoor environment).

As for Conway's charge that Favre had received preferential treatment, Stephen M. Paskoff, a lawyer who is the president of ELI Inc., an ethics and workplace behavior training firm in Atlanta, said that in most other settings, an investigation like this would have been handled much differently.

All these is evidence that adverse events are not well accounted for during clinical trials in Cameroon just as in most other settings [ 17].

Although the study was carried out within a normal resource-constrained health service setting (Amuron et al., 2007), the mortality rates of about six deaths per 100-person-years and virologic failure rates of about eight per 100-person-years were better than those reported from most other settings (Jaffar et al., 2009).

The tendency for keeping patients uninformed and maintaining medical paternalism in doctor-patient relationships [ 19, 20] is extended to patient-laboratory technician encounters, adding to confusion and patient attrition Tertiary hospitals (public, private, medical colleges) tend to use more rapid tests than most other settings, in the wards (for in-patients) and in the laboratory.

Similar(53)

Physician and nurse anaesthetists typically share their work environment and their practical tasks to a larger extent than physicians and nurses in most other clinical settings, but they also have different educational backgrounds and professional and legal responsibilities for patients.

Most other institutional settings such as outpatient clinics and stand-alone long-term care facilities had only limited pharmacy coverage, and as such were traditionally not considered to be eligible experiential sites for pharmacy students.

Even without CHW supervision responsibilities, the demands on health facility workers are high in Tanzania and in most other low-resource settings.

As a group, our sample of pharmacy nurses are relatively highly trained and experienced, but, unlike the majority of nurses in Australia, their work is not overseen by their employer or any other professional organisation, nor are they bound by guidelines, protocols and procedures, or have clearly articulated referral pathways, an integral part of most other health care settings.

The supervised network inference problem differs from most other machine learning settings in that instead of making a prediction for each input object (such as a protein), the learning algorithm makes a prediction for each pair of objects, namely how likely these objects interact in the biological network.

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