Sentence examples for make accurate patient from inspiring English sources

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The most infamous of these is Connecting for Health – a massive IT programme that aimed to make accurate patient records available to NHS staff at all times.

The infamous IT programme, Connecting for Health, aimed to make accurate patient records available to NHS staff at all times but was abandoned in 2013 after costing the taxpayer nearly £10bn.

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Due to the unique Central Personal Registry number assigned to each Danish citizen at birth and to residents on immigration, it is possible to make accurate linkage to patient and registries at an individual level [ 8].

He had discovered that a patient's recovery was closely linked to the degree of initial impairment, a "proportional recovery rule" that had a frightening implication: if you could use early measures of impairment to make accurate predictions about a patient's recovery three months later, what did that say about conventional physical therapy?

Automation in cardiac arrhythmia classification helps medical professionals to make accurate decisions upon the patient's health.

Physicians in most clinical specialities, including general practice are expected to have a sufficient knowledge about ECG interpretation to be able to make accurate diagnoses, decide on patient management or further referrals.

This range holds for a large population, but is too wide to make accurate predictions in the individual patient.

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.

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.

DeepMind said the app at the heart of the data-sharing agreement, Streams, requires the data set to make accurate and timely calls about patients potentially suffering acute kidney injuries.

The model has allowed us to provide almost exact virtual controls, matched for pre-operative size (T1-Gd) and D/ ρ, untreated and treated, for each patient, and to make accurate predictions of survival times following a broad range of surgical resections, as shown in Figure 6.

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