Identifying collaborative care teams through electronic medical record utilization patterns.

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Predicting Length of Stay for Obstetric Patients via Electronic Medical Records.Learning Bundled Care Opportunities from Electronic Medical Records.Interaction patterns of trauma providers are associated with length of stay.

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Identifying collaborative care teams through electronic medical record utilization patterns.

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2016 nî lūn-bûn

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2016年の論文

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2016年学术文章

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Identifying collaborative care ...... l record utilization patterns.

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Bradley A Malin

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Kelly Wolgast

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Nancy M Lorenzi

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Warren S Sandberg

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You Chen

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Defining comorbidity: implications for understanding health and health services

Building a medical neighborhood for the medical home

Description of a method to support public health information management: organizational network analysis

Building bridges across electronic health record systems through inferred phenotypic topics.

Collective dynamics of 'small-world' networks

The patient-centered medical home: will it stand the test of health reform?

The Group Health medical home at year two: cost savings, higher patient satisfaction, and less burnout for providers

Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support

Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population

Learning probabilistic phenotypes from heterogeneous EHR data.

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e111-e120

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scholarly article

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10.1093/JAMIA/OCW124

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2016-08-28T00:00:00Z

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collaboration

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Identifying collaborative care teams through electronic medical record utilization patterns.

about

P2860

P2860

Identifying collaborative care teams through electronic medical record utilization patterns.

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