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This case report described the innovative design and build of an algorithm that integrated available data from separate hospital-based informatics systems that perform different daily functions to augment the contact tracing process of COVID-19 patients through identifying exposed neighboring patients and healthcare workers and assess their risk. Prior to the establishment of the algorithm, contact tracing teams comprising six members each would spend up to 10 hours to complete contact tracing for five new COVID-19 patients. With the augmentation by the algorithm, we observed ≥60% savings in overall manhours needed for contact tracing when there were five and above daily new cases through a time-motion study and Monte-Carlo simulation. This improvement to the hospital’s contact tracing process supported more expeditious and comprehensive downstream contact tracing activities as well as improved manpower utilization in contact tracing.
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document_parses/pdf_json/b909d1e54df6b882bf161dc88ed73f37a1518ebb.json
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Innovative Use of Health Informatics to Augment Contact Tracing during the COVID19 Pandemic in an Acute Hospital
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