To improve the safety of diagnosis and therapy for a set of conditions and undifferentiated symptoms for hospitalized patients, the investigators will employ a set of methods and tools from the disciplines of systems engineering, human factors, quality improvement,and data analytics to thoroughly analyze the problem, design and develop potential solutions that leverage existing current technological infrastructure, and implement and evaluate the final interventions. The investigators will engage the interdisciplinary care team and patient (or their caregivers) to ensure treatment trajectories match the anticipated course for working diagnoses (or symptoms), and whether they are in line with patient and clinician expectations. The investigators will use an Interrupted time series (ITS) design to assess impact on diagnostic errors that lead to patient harm. The investigators will perform quantitative and qualitative evaluations using implementation science principles to understand if the interventions worked, and why or why not.
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Diagnostic error
Timeframe: 30 days (at most) from admission to the hospital
"Safe diagnosis"
Timeframe: 30 days (at most) from admission to the hospital