{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11955213","patent":{"patent_number":"US-11955213","title":"Systems and methods for detecting documentation drop-offs in clinical documentation","assignee":null,"inventors":[],"filing_date":"2023-02-13T00:00:00.000Z","publication_date":"2024-04-09T00:00:00.000Z","cpc_codes":["G16H","G06F","G06F","G06F","G06N","G16H","G06F","G06F","G06F","G06N","G06N","G06N"],"num_claims":20,"abstract":"In clinical documentation, mere documentation of a condition in a patient's records may not be enough. To be considered sufficiently documented, the patient's record needs to show that no documentation drop-offs (DDOs) have occurred over the course of the patient's stay. However, DDOs can be extremely difficult to detect. To solve this problem, the invention trains time-sensitive deep learning (DL) models on a per condition basis using actual and/or synthetic patient data. Utilizing an ontology, grouped concepts can be generated on the fly from real-time hospital data and used to generate time-series data that can then be analyzed by trained time-sensitive DL models to determine whether a DDO for a condition has occurred during the stay. Non-time-sensitive models can be used to detect all the conditions documented during the stay. Outcomes from the models can be compared to determine whether to notify a user that a DDO has occurred."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods for detecting documentation drop-offs in clinical documentation","description":"In clinical documentation, mere documentation of a condition in a patient's records may not be enough. To be considered sufficiently documented, the patient's record needs to show that no documentatio","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11955213","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11955213","citation_suggestion":"Patentable. \"Systems and methods for detecting documentation drop-offs in clinical documentation\" (US-11955213). https://patentable.app/patents/US-11955213","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11955213","json":"https://patentable.app/api/llm-context/US-11955213","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T14:43:22.086Z"}