Early detection of COVID-19 outbreaks using textual analysis of electronic medical records.

PURPOSE: Our objective was to develop a tool promoting early detection of COVID-19 cases by focusing epidemiological investigations and PCR examinations during a period of limited testing capabilities. METHODS: We developed an algorithm for analyzing medical records recorded by healthcare providers in the Israeli Defense Forces. The algorithm utilized textual analysis to detect patients presenting with suspicious symptoms and was tested among 92 randomly selected units. Detection of a potential cluster of patients in a unit prompted a focused epidemiological investigation aided by data provided by the algorithm. RESULTS: During a month of follow up, the algorithm has flagged 17 of the units for investigation. The subsequent epidemiological investigations led to the testing of 78 persons and the detection of eight cases in four clusters that were previously gone unnoticed. The resulting positive test rate of 10.25% was five time higher than the IDF average at the time of the study. No cases of COVID-19 in the examined units were missed by the algorithm. CONCLUSIONS: This study depicts the successful development and large scale deployment of a textual analysis based algorithm for early detection of COVID-19 cases, demonstrating the potential of natural language processing of medical text as a tool for promoting public health.

The Decreasing Incidence of Acute Appendicitis During COVID-19: A Retrospective Multi-centre Study.

BACKGROUND: As the novel coronavirus disease 19 (COVID-19) spreads, a decrease in the number of patients with acute appendicitis (AA) has been noted in our institutions. The aim of this study was to compare the incidence and severity of AA before and during the COVID-19 pandemic. METHODS: A retrospective cohort analysis was performed between December 2019 and April 2020 in the four high-volume centres that provide health care to the municipality of Jerusalem, Israel. Two groups were created. Group A consisted of patients who presented in the 7 weeks prior to COVID-19 first being diagnosed, whilst those in the 7 weeks after were allocated to Group B. A comparison was performed between the clinicopathological features of the patients in each group as was the changing incidence of AA. RESULTS: A total of 378 patients were identified, 237 in Group A and 141 in Group B (62.7% vs. 37.3%). Following the onset of COVID-19, the weekly incidence of AA decreased by 40.7% (p = 0.02). There was no significant difference between the groups in terms of the length of preoperative symptoms or surgery, need for postoperative peritoneal drainage or the distribution of complicated versus uncomplicated appendicitis. CONCLUSIONS: The significant decrease in the number of patients admitted with AA during the onset of COVID-19 possibly represents successful resolution of mild appendicitis treated symptomatically by patients at home. Further research is needed to corroborate this assumption and identify those patients who may benefit from this treatment pathway.