{"doi":"10.1109/chase52844.2021.00015","title":"High-Confidence Data Programming for Evaluating Suppression of Physiological Alarms","abstract":"False alarms generated by physiological monitors can overwhelm clinical caretakers with a variety of alarms. The resulting alarm fatigue can be mitigated with alarm suppression. Before being deployed, such suppression mechanisms need to be evaluated through a costly observational study, which would determine and label the truly suppressible alarms. This paper proposes a lightweight method for evaluating alarm suppression without access to the true alarm labels. The method is based on the data programming paradigm, which combines noisy and cheap-to-obtain labeling heuristics into probabilistic labels. Based on these labels, the method estimates the sensitivity/specificity of a suppression mechanism and describes the likely outcomes of an observational study in the form of confidence bounds. We evaluate the proposed method in a case study of low SpO2 alarms using a dataset collected at Children's Hospital of Philadelphia and show that our method provides tight and accurate bounds that significantly outperform the naive comparative method.","journal":null,"year":2021,"id":217028,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9591,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":75524,"name":"Ivan Ruchkin","orcid":"0000-0003-3546-414X","position":1,"is_corresponding":false},{"id":434552,"name":"Christopher P. Bonafide","orcid":"0000-0003-2823-5883","position":2,"is_corresponding":false},{"id":355528,"name":"Sara B. DeMauro","orcid":"0000-0003-1647-4000","position":3,"is_corresponding":false},{"id":813518,"name":"Oleg Sokolsky","orcid":"0000-0001-5282-0658","position":4,"is_corresponding":false},{"id":710350,"name":"Insup Lee","orcid":"0000-0003-2672-1132","position":5,"is_corresponding":false},{"id":710349,"name":"James Weimer","orcid":"0000-0001-8167-9163","position":6,"is_corresponding":false},{"id":813517,"name":"Sydney Pugh","orcid":"0000-0002-1465-983X","position":0,"is_corresponding":true}],"reference_count":17,"raw_metadata":null,"created_at":"2026-07-18T23:53:15.868165Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}