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Quickstats | HealthIT.gov

    https://www.healthit.gov/data/quickstats
    As of 2021, nearly 9 in 10 (88%) of U.S. office-based physicians adopted any electronic health record (EHR) [2], and nearly 4 in 5 (78%) had adopted a certified EHR [4]. This is a consistent trend since 2015. Since 2008, office-based physician adoption of… View Non-federal Acute Care Hospital Electronic Health Record Adoption

FastStats - Electronic Medical Records - Centers for …

    https://www.cdc.gov/nchs/fastats/electronic-medical-records.htm
    Electronic Medical Records/Electronic Health Records (EMRs/EHRs) Data are for the U.S. Percent of office-based physicians using any EMR/EHR system: …

Electronic Health Records Infographic | HealthIT.gov

    https://www.healthit.gov/infographic/electronic-health-records-infographic
    Electronic Health Records Infographic. How do electronic health records (EHRs) connect you and your doctor? In the past, medical data was only stored on paper, …

Learning a Health Knowledge Graph from …

    https://www.nature.com/articles/s41598-017-05778-z/
    We evaluated our candidate knowledge graphs against an extensive and manually curated …

Graph-Representation of Patient Data: a Systematic …

    https://link.springer.com/article/10.1007/s10916-020-1538-4
    Graph theory is a well-established theory with many methods used in mathematics to study graph structures. In the field of medicine, electronic health …

Learning a Health Knowledge Graph from Electronic …

    https://pubmed.ncbi.nlm.nih.gov/28729710/
    Learning a Health Knowledge Graph from Electronic Medical Records Authors Maya Rotmensch 1 , Yoni Halpern 2 , Abdulhakim Tlimat 3 , Steven Horng 3 4 , …

Modeling Healthcare Data with Graph …

    https://towardsdatascience.com/modeling-healthcare-data-with-graph-databases-3e3695bcae3c
    Since the transition from paper records to virtual records, hospitals have been piling up data. Every touchpoint of the healthcare system, every prescription, operation, …

Building causal graphs from medical literature and …

    https://dlnext.acm.org/doi/10.1609/aaai.v33i01.33011102
    Large repositories of medical data, such as Electronic Medical Record (EMR) data, are recognized as promising sources for knowledge discovery. Effective analysis of such …

Extending electronic medical records vector models with …

    https://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-022-00261-9
    We propose to enrich private data (EMRs) with public data (bio-medical knowledge graphs) available in standard Web format (semantic Web and linked data …

Learning a Health Knowledge Graph from Electronic …

    https://www.researchgate.net/publication/318571526_Learning_a_Health_Knowledge_Graph_from_Electronic_Medical_Records/fulltext/5972bb47aca2728d02482e48/318571526_Learning_a_Health_Knowledge_Graph_from_Electronic_Medical_Records.pdf
    medical records using rudimentary concept extraction is feasible. The noisy OR model produces a high quality knowledge graph reaching precision of 0.85 for a recall of 0.6 in …



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