Breast Cancer Clinical Trial
Official title:
Making Accurate Problem Lists in the EHR
The aim of this study is to identify patients with problem list gaps and intervene to correct these gaps by creating clinical decision support interventions that alert providers to likely problem list gaps and offer clinicians the opportunity to correct them. The investigators will randomize the clinics that will receive the intervention and formally evaluate the study after a period of 6 months for improved problem list completeness to determine the effectiveness of our intervention.
The clinical problem list is a cornerstone of the problem-oriented medical record. Problem
lists are used in a variety of ways throughout the process of clinical care. In addition to
its use by clinicians, the problem list is also critical for decision support and quality
measurement.
Patients with gaps in their problem list face significant risks. For example, if a
hypothetical patient has diabetes properly documented, his clinician would receive
appropriate alerts and reminders to guide care. Additionally, the patient might be included
in special care management programs and the quality of care provided to him would be
measured and tracked. Without diabetes on his problem list, he might receive none of these
benefits.
In this study, the investigators developed an clinical decision support intervention that
will identify patients with problem lists gaps. The investigators will alert providers of
these likely gaps and offer providers the opportunity to correct them.
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Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Parallel Assignment, Masking: Open Label, Primary Purpose: Diagnostic
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