Articles Tagged With: Algorithm
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AI Creates Liability Risks for Healthcare Organizations
Artificial intelligence is entering a variety of industries including healthcare, where it offers the opportunity to improve diagnoses and patient care in many ways. The potential benefits come with significant risks that must be anticipated and mitigated.
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Misdiagnosis of Autoimmune Encephalitis
A recent multicenter, retrospective review of 393 adult patients given a diagnosis of autoimmune encephalitis noted that 107 patients (27%) were misdiagnosed and ultimately had other diagnoses confirmed, but after a considerable delay.
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Machine Learning Models Predict Recurrence, Complications Associated with Hernia Repair
Tool could prevent readmissions and repeat procedures while saving millions of dollars.
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Predicting Coronary Artery Disease in Breast Cancer Patients
The authors applied an automated algorithm to calculate an Agatston coronary artery calcium score from non-ECG-gated planning CT scans in breast cancer patients undergoing radiation therapy. This provided a graded risk calculation that could encourage preventive measures in patients at highest risk of a cardiovascular disease event. -
Discharge Algorithm Improves Transitions, Results
Decision support technology can help case managers improve transitions of care and more easily access patient information necessary for an optimal discharge. The algorithm can collect data on patients’ functional status, cognition, caregiver status, and other important characteristics.
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Tools Keep Tabs on Patients Remotely, Predicting Outcomes and Conserving Resources
Researchers developed an automated text messaging approach that can monitor patients who have been discharged from the ED. Other investigators have leveraged artificial intelligence to train an algorithm to help emergency clinicians better predict outcomes and manage resources.
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Race Correction in Clinical Calculations — Is It Time to Reconsider?
Many clinical calculators use race as a predictive variable to assess risk for outcomes. Although most of the tools assume a genetic disposition for these outcomes, other factors, such as health disparities and other potential confounders, are more likely to be the underlying reasons for any race-related differences in outcomes.
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Health system screens all patients for suicide risk
In what appears to be a first for a health system, Parkland Health & Hospital System in Dallas recently implemented suicide screenings for all patients.
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Use algorithm to avoid EMTALA violations