{"id":"W2395954427","doi":"","title":"Safer, cheaper, smarter. Computerized physician order entry promises to streamline and improve healthcare delivery.","year":2001,"lang":"en","type":"article","venue":"PubMed","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"St Mary's Hospital","funders":"","keywords":"SAFER; Healthcare delivery; Order entry; Computerized physician order entry; Health care; Order (exchange); Health care delivery; Computer science; Risk analysis (engineering); Medical emergency; Business; Medicine; Computer security; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004414156,0.0004085032,0.0005628064,0.002995005,0.0008034739,0.005691034,0.001108395,0.002719739,0.1083513],"category_scores_gemma":[0.0355863,0.0003337322,0.0006334924,0.004618711,0.0007848914,0.005849154,0.001059505,0.002036675,0.0548763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00184732,"about_ca_system_score_gemma":0.006764732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006867647,"about_ca_topic_score_gemma":0.01329302,"domain_scores_codex":[0.9964297,0.001057513,0.0004365832,0.0002321443,0.001632519,0.0002115465],"domain_scores_gemma":[0.9556913,0.01844088,0.006129567,0.002922623,0.013161,0.003654708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001192223,0.00008065024,0.002916398,0.0008927318,0.00002967294,0.00006090431,0.00008577481,0.0001262506,0.0008708084,0.008499782,0.5765117,0.4098061],"study_design_scores_gemma":[0.0000799765,0.00009733477,0.007947139,0.001313211,0.00004229314,0.0003741703,0.0002243989,0.0003631515,0.0009440341,0.005589658,0.9829889,0.00003575389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01048298,0.08250086,0.0128302,0.6081235,0.02870525,0.0002696691,0.01228083,0.003954006,0.2408526],"genre_scores_gemma":[0.1111499,0.1806875,0.07521886,0.161761,0.05507708,0.0003263593,0.02130033,0.001216073,0.3932628],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1083513,"threshold_uncertainty_score":0.3624712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04085033590560128,"score_gpt":0.3412844817223068,"score_spread":0.3004341458167055,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}