Deficits in communication and information transfer between hospital-based and primary care physicians: implications for patient safety and continuity of care.

By S. Kripalani, F. Lefevre, C. Phillips, Mark V. Williams, P. Basaviah, David W. Baker. Journal of the American Medical Association (JAMA), 2007

2,160 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Emergency Medicine, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/e5b2e466953bf0675077518fb5f2ab821a88500a

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In Organizational Behavior and Human Resource Management

1. Jennifer K. Bussell
2. Marie T. Brown

Citations in the corpus

• Medication adherence: WHO cares? (2011, background): “Inadequate communication between physicians, hospitalists, primary care physicians, and consultants also contributes to medication errors and potentially avoidable hospital readmissions.(64,65)”
• A Reengineered Hospital Discharge Program to Decrease Rehospitalization (2009, background): “For example, discharge summaries frequently lack critical data and are not sent to the PCP in a timely fashion (6, 7), resulting in outpatient clinicians being unaware of test results that were pending at discharge (8) and evaluations that were scheduled to be done after discharge not being complete”
• Role understanding and effective communication as core competencies for collaborative practice (2009, background): “Poor information transfer and discontinuity of care have been found to lower quality of care at follow-up and increase adverse clinical outcomes (Kripalani et al., 2007).”
• Promoting effective transitions of care at hospital discharge: a review of key issues for hospitalists. (2007, background): “Improving Physician Information Transfer and Continuity To improve information transfer from hospitalist to PCP, attention must be paid to the content, format, and timely delivery of discharge information (Table 1).(14) Surveys of primary care physicians suggest the following information should be i”
• The future landscape of large language models in medicine (2023, background): “A lack of clarity in patient reports correlates with inferior quality of patient care 28 .”