[HTML][HTML] Clinical text data in machine learning: systematic review
Background: Clinical narratives represent the main form of communication within health
care, providing a personalized account of patient history and assessments, and offering rich …
care, providing a personalized account of patient history and assessments, and offering rich …
Big data analytics to improve cardiovascular care: promise and challenges
The potential for big data analytics to improve cardiovascular quality of care and patient
outcomes is tremendous. However, the application of big data in health care is at a nascent …
outcomes is tremendous. However, the application of big data in health care is at a nascent …
[HTML][HTML] Early prediction of circulatory failure in the intensive care unit using machine learning
Intensive-care clinicians are presented with large quantities of measurements from multiple
monitoring systems. The limited ability of humans to process complex information hinders …
monitoring systems. The limited ability of humans to process complex information hinders …
Reduced in-person and increased telehealth outpatient visits during the COVID-19 pandemic
Background: During the coronavirus disease 2019 (COVID-19) pandemic, many health
systems are postponing outpatient visits and shifting services to telehealth (1). However, the …
systems are postponing outpatient visits and shifting services to telehealth (1). However, the …
Admissions to veterans affairs hospitals for emergency conditions during the COVID-19 pandemic
A Baum, MD Schwartz - Jama, 2020 - jamanetwork.com
Methods| We analyzed data from the VA's Corporate Data Warehouse, a national repository
of electronic health records from visits to any VA facility. 3 We describe trends in VA …
of electronic health records from visits to any VA facility. 3 We describe trends in VA …
An integrated big data analytics-enabled transformation model: Application to health care
A big data analytics-enabled transformation model based on practice-based view is
developed, which reveals the causal relationships among big data analytics capabilities, IT …
developed, which reveals the causal relationships among big data analytics capabilities, IT …
[HTML][HTML] An introduction to implementation science for the non-specialist
MS Bauer, L Damschroder, H Hagedorn, J Smith… - BMC psychology, 2015 - Springer
Background The movement of evidence-based practices (EBPs) into routine clinical usage
is not spontaneous, but requires focused efforts. The field of implementation science has …
is not spontaneous, but requires focused efforts. The field of implementation science has …
Exploring the path to big data analytics success in healthcare
Although big data analytics have tremendous benefits for healthcare organizations, extant
research has paid insufficient attention to the exploration of its business value. In order to …
research has paid insufficient attention to the exploration of its business value. In order to …
Testing for primary aldosteronism and mineralocorticoid receptor antagonist use among US veterans: a retrospective cohort study
Background: Primary aldosteronism is a common cause of treatment-resistant hypertension.
However, evidence from local health systems suggests low rates of testing for primary …
However, evidence from local health systems suggests low rates of testing for primary …
Business analytics-enabled decision-making effectiveness through knowledge absorptive capacity in health care
Y Wang, TA Byrd - Journal of Knowledge Management, 2017 - emerald.com
Purpose Drawing on the resource-based theory and dynamic capability view, this paper
aims to examine the mechanisms by which business analytics (BA) capabilities (ie the …
aims to examine the mechanisms by which business analytics (BA) capabilities (ie the …