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Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records
Conclusion: Electronic administrative records from this cohort produced reliable outcome prediction and identified clinically appropriate factors negatively impacting most outcome variables following hospital admission with stroke. This presents a means of future identification of modifiable factors associated with patient discharge destination. This may potentially aid in patient selection for certain interventions and aid in better patient and clinician education regarding expected discharge outcomes.
Source: Frontiers in Neurology - September 27, 2021 Category: Neurology Source Type: research

Intermountain chronic disease risk score (ICHRON) validation for prediction of incident chronic disease diagnoses in an australian primary prevention population.
CONCLUSION: ICHRON predicted ChrD diagnosis at 3-years among an external, geographically distant validation cohort. These findings show the value of ICHRON for primary care patients in distinct locales. Additionally, electronic calculation of ICHRON empowers the clinical use of this tool to identify and differentially manage and treat high-risk patients. PMID: 32563688 [PubMed - as supplied by publisher]
Source: European Journal of Internal Medicine - June 16, 2020 Category: Internal Medicine Authors: May HT, Anderson JL, Muhlestein JB, Knowlton KU, Horne BD Tags: Eur J Intern Med Source Type: research

Appropriateness of inpatient dosing of direct oral anticoagulants for atrial fibrillation
The objective was to determine the rates of inappropriate inpatient DOAC dosing in AF and identifying its associated underlying factors. We conducted a retrospective cross-sectional study from December 2013 to November 2019 across six South Australian public hospitals utilising a centralised electronic health record. Multivariate analysis was used to identify factors associated with underdosing of patients prescribed apixaban. Of 1882 inpatients, 544 (28.9  %) were inappropriately dosed. Underdosing was the most common form of inappropriate dosing with rates of 22.9 % (n = 295), 7.1 % (n = 7), and 25.1 % (n...
Source: Journal of Thrombosis and Thrombolysis - July 24, 2021 Category: Hematology Source Type: research