Evaluating a Model to Predict Primary Care Physician-Defined Complexity in a Large Academic Primary Care Practice-Based Research Network.
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Relation of comorbidities and patient navigation with the time to diagnostic resolution after abnormal cancer screening.The Complexity of Complex Patients.Applying Sequential Analytic Methods to Self-Reported Information to Anticipate Care Needs.Using a Self-Reported Global Health Measure to Identify Patients at High Risk for Future Healthcare Utilization.A consensus for the development of a vector model to assess clinical complexity.Defining Team Effort Involved in Patient Care from the Primary Care Physician's Perspective.Risk Stratification Methods and Provision of Care Management Services in Comprehensive Primary Care Initiative Practices.Perceptions of Risk Stratification Workflows in Primary Care.
P2860
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P2860
Evaluating a Model to Predict Primary Care Physician-Defined Complexity in a Large Academic Primary Care Practice-Based Research Network.
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name
Evaluating a Model to Predict ...... actice-Based Research Network.
@ast
Evaluating a Model to Predict ...... actice-Based Research Network.
@en
type
label
Evaluating a Model to Predict ...... actice-Based Research Network.
@ast
Evaluating a Model to Predict ...... actice-Based Research Network.
@en
prefLabel
Evaluating a Model to Predict ...... actice-Based Research Network.
@ast
Evaluating a Model to Predict ...... actice-Based Research Network.
@en
P2093
P2860
P1476
Evaluating a Model to Predict ...... actice-Based Research Network.
@en
P2093
Clemens S Hong
Jeffrey M Ashburner
Richard W Grant
Steven J Atlas
Timothy G Ferris
Yuchiao Chang
P2860
P2888
P304
P356
10.1007/S11606-015-3357-8
P577
2015-06-06T00:00:00Z