Sentence examples for make accurate diagnoses from inspiring English sources

Properly trained laboratory technologists are needed to obtain reliable results essential for service providers to accurately assess the status of a patient's health, make accurate diagnoses, design treatment plans and monitor the effectiveness of a specific treatment, as well as for early detection, notification and response to disease outbreaks.

Using P.C.R. technology to make accurate diagnoses on the spot would save lives, as it has in tuberculosis.

These developments significantly improved the ability of doctors to make accurate diagnoses.

The software's analytic tools may also eventually help doctors make accurate diagnoses by making it easier for them to access a patient's medical records from other hospitals and also check family health information.

In recent years, we have encountered many cases in which dead ducks had exhibited obvious clinical signs and gross lesions, and our attempts to isolate virus from tissue samples were unsuccessful, making it difficult to make accurate diagnoses.

Given the relative steep learning curve for lung sonography and its reproducibility among users [ 9], the ability to make accurate diagnoses in the dyspneic patient when other diagnostic imaging is not available is a real medical advance.

There is, for instance, an immediate need for medical imaging algorithms that can support doctors in making accurate diagnoses.

Much cognitive and clinical research has addressed clinical reasoning, pointing out that physicians often have difficulties in following a linear course when making accurate diagnoses.

Identifying patients at the onset of a rare disease can be challenging because there can be a long lag time associated with making accurate diagnoses for rare diseases.

Such selective symptom reporting could mislead urologists in making accurate diagnoses as well as designing and adjusting treatment plans appropriately, which would have a marked impact on the treatment outcome.

22 The wide variation in data likely reflects the differences amongst clinical epidemiological studies regarding inconsistent use of nomenclature, variance in case ascertainment, difficulties with making accurate diagnoses, as well as patient ability to access health care that results in delays in diagnosis.