{"doi":"10.1016/j.jss.2022.05.016","title":"A Novel System to Improve Case Capture for Surgery Morbidity and Mortality Conference","abstract":"INTRODUCTION: Complications are often under-reported at surgical morbidity and mortality (M&M) conferences due to the sole reliance on voluntary case submission. While most institutions have databases used for targeted initiatives in quality improvement, these are not routinely used for M&M. We aimed to increase case capture for M&M conferences by developing a novel system that augments the existing case submission system with cases representing complications from quality improvement databases and the electronic health record (EHR). METHODS: We developed and implemented a novel system for increasing the capture rate of complications for M&M conferences by developing custom software that combines data from the following sources: an existing voluntary case submission system for M&M, local quality databases-National Surgical Quality Improvement Program and Vizient, and an EHR-based case capture tool. We evaluated this system on a retrospective cohort of all postoperative complications at a single center in a 32-mo period and in a prospective cohort over a 4-mo period after system implementation. RESULTS: In the retrospective cohort, we identified 433 complications among all data sources. Inclusion of the new system introduced 280 new potential cases for M&M review over the 32-mo period. After implementation, the system provided 31% of cases presented at M&M conference that would have otherwise been omitted. CONCLUSIONS: A novel system that includes complications identified in the EHR and quality improvement databases increased the case capture volume for surgical M&M conference, which provides an objective case referral system that can identify complementary quality improvement opportunities.","journal":"Journal of Surgical Research","year":2022,"id":283605,"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":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9482,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":694842,"name":"Ashwyn K. Sharma","orcid":"0000-0001-6583-8021","position":1,"is_corresponding":false},{"id":960431,"name":"Jared Matson","orcid":"0000-0001-8722-3618","position":2,"is_corresponding":false},{"id":960912,"name":"Nick Hilbert","orcid":null,"position":3,"is_corresponding":false},{"id":960432,"name":"Jonathan C. DeLong","orcid":"0000-0003-3819-566X","position":4,"is_corresponding":false},{"id":234746,"name":"Sonia Ramamoorthy","orcid":null,"position":5,"is_corresponding":false},{"id":714296,"name":"Kristin L. Mekeel","orcid":"0000-0002-8870-1287","position":6,"is_corresponding":false},{"id":385248,"name":"Robert El‐Kareh","orcid":"0000-0003-3158-5681","position":7,"is_corresponding":false},{"id":728987,"name":"Zongyang Mou","orcid":"0000-0003-3271-4596","position":0,"is_corresponding":true}],"reference_count":11,"raw_metadata":null,"created_at":"2026-07-19T00:29:28.452697Z","pmid":"35700668","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":[]}