{"id":"W2730171419","doi":"10.14236/jhi.v24i2.855","title":"Connecting Medical Records: An Evaluation of Benefits and Challenges for Primary Care Practices","year":2017,"lang":"en","type":"article","venue":"Journal of Innovation in Health Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Workload; Health information exchange; Health care; Quality (philosophy); Information exchange; Process management; Productivity; Service (business); Information system; Process (computing); Knowledge management; Reliability (semiconductor); Usability; Medicine; Nursing; Business; Computer science; Marketing; Health information","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":[0.04416271,0.0007853194,0.001292022,0.002890033,0.002508784,0.003145281,0.001445504,0.002068159,0.003898795],"category_scores_gemma":[0.1095716,0.0007106562,0.002078126,0.002116713,0.00153243,0.00328372,0.004325651,0.001301611,0.0004931756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005470577,"about_ca_system_score_gemma":0.00675388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003383749,"about_ca_topic_score_gemma":0.005612945,"domain_scores_codex":[0.9633161,0.02032834,0.004590054,0.001988344,0.007665487,0.002111773],"domain_scores_gemma":[0.8347863,0.1147649,0.01803976,0.006405434,0.01380438,0.01219913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.008614197,0.02500094,0.5472406,0.003975121,0.0008588579,0.000965796,0.05949109,0.001191654,0.001863103,0.0004956835,0.004405342,0.3458976],"study_design_scores_gemma":[0.002424158,0.06052906,0.8795764,0.0008098389,0.0008345509,0.0006777003,0.04231073,0.003002244,0.001726651,0.0004579436,0.007431744,0.000219015],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953544,0.0002261221,0.0003448098,0.0005259606,0.00002473279,0.001254851,0.0002612669,0.00006238017,0.001945493],"genre_scores_gemma":[0.9934186,0.0003732501,0.003595054,0.0002597936,0.00004823671,0.001527342,0.0002565594,0.00001812449,0.0005030773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04416271,"threshold_uncertainty_score":0.2335575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.393753943788632,"score_gpt":0.5446377136842333,"score_spread":0.1508837698956013,"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."}}