Decline in pneumonia admissions after routine childhood immunisation with pneumococcal conjugate vaccine in the USA: a time-series analysis. Grijalva CG, Nuorti JP, Arbogast PG, Martin SW, Edwards KM, Griffin MR (2007) Lancet 369: 1179-86 Automated identification of postoperative complications within an electronic medical record using natural language processing. Murff HJ, FitzHenry F, Matheny ME, Gentry N, Kotter KL, Crimin K, Dittus RS, Rosen AK, Elkin PL, Brown SH, Speroff T (2011) JAMA 306: 848-55 Validation of VA administrative data algorithms for identifying cardiovascular disease hospitalization. Niesner K, Murff HJ, Griffin MR, Wasserman B, Greevy R, Grijalva CG, Roumie CL (2013) Epidemiology 24: 334-5 Improving documentation of patient acuity level using a progress note template. Grogan EL, Speroff T, Deppen SA, Roumie CL, Elasy TA, Dittus RS, Rosenbloom ST, Holzman MD (2004) J Am Coll Surg 199: 468-75 Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record. Jamian L, Wheless L, Crofford LJ, Barnado A (2019) Arthritis Res Ther 21: 305 Finally, a consensus statement on sickle cell disease manifestations: a critical step in improving the medical care and research agenda for individuals with sickle cell disease. DeBaun MR (2010) Am J Hematol 85: 1-3 Developing Electronic Health Record Algorithms That Accurately Identify Patients With Systemic Lupus Erythematosus. Barnado A, Casey C, Carroll RJ, Wheless L, Denny JC, Crofford LJ (2017) Arthritis Care Res (Hoboken) 69: 687-693 Improving the phenotype risk score as a scalable approach to identifying patients with Mendelian disease. Bastarache L, Hughey JJ, Goldstein JA, Bastraache JA, Das S, Zaki NC, Zeng C, Tang LA, Roden DM, Denny JC (2019) J Am Med Inform Assoc 26: 1437-1447 ICD-9 tobacco use codes are effective identifiers of smoking status. Wiley LK, Shah A, Xu H, Bush WS (2013) J Am Med Inform Assoc 20: 652-8 The disclosure of diagnosis codes can breach research participants' privacy. Loukides G, Denny JC, Malin B (2010) J Am Med Inform Assoc 17: 322-7 ICD-10-CM Crosswalks in the primary care setting: assessing reliability of the GEMs and reimbursement mappings. Turer RW, Zuckowsky TD, Causey HJ, Rosenbloom ST (2015) J Am Med Inform Assoc 22: 417-25 PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability. Kirby JC, Speltz P, Rasmussen LV, Basford M, Gottesman O, Peissig PL, Pacheco JA, Tromp G, Pathak J, Carrell DS, Ellis SB, Lingren T, Thompson WK, Savova G, Haines J, Roden DM, Harris PA, Denny JC (2016) J Am Med Inform Assoc 23: 1046-1052 A multi-institution evaluation of clinical profile anonymization. Heatherly R, Rasmussen LV, Peissig PL, Pacheco JA, Harris P, Denny JC, Malin BA (2016) J Am Med Inform Assoc 23: e131-7 Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance. Wei WQ, Teixeira PL, Mo H, Cronin RM, Warner JL, Denny JC (2016) J Am Med Inform Assoc 23: e20-7 Detecting adverse events using information technology. Bates DW, Evans RS, Murff H, Stetson PD, Pizziferri L, Hripcsak G (2003) J Am Med Inform Assoc 10: 115-28 Using present-on-admission coding to improve exclusion rules for quality metrics: the case of failure-to-rescue. Needleman J, Buerhaus PI, Vanderboom C, Harris M (2013) Med Care 51: 722-30 A computer case definition for sudden cardiac death. Chung CP, Murray KT, Stein CM, Hall K, Ray WA (2010) Pharmacoepidemiol Drug Saf 19: 563-72 Accuracy of pharmacy and coded-diagnosis information in identifying tuberculosis in patients with rheumatoid arthritis. Fiske CT, Griffin MR, Mitchel E, Sterling TR, Grijalva CG (2012) Pharmacoepidemiol Drug Saf 21: 666-9 Immediate effects of the initial FDA notification on the use of surgical mesh for pelvic organ prolapse surgery in medicare beneficiaries. Reynolds WS, Gold KP, Ni S, Kaufman MR, Dmochowski RR, Penson DF (2013) Neurourol Urodyn 32: 330-5 An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records. Schildcrout JS, Basford MA, Pulley JM, Masys DR, Roden DM, Wang D, Chute CG, Kullo IJ, Carrell D, Peissig P, Kho A, Denny JC (2010) J Biomed Inform 43: 914-23 Validation of discharge diagnosis codes to identify serious infections among middle age and older adults. Wiese AD, Griffin MR, Stein CM, Schaffner W, Greevy RA, Mitchel EF, Grijalva CG (2018) BMJ Open 8: e020857 Validation of an algorithm to identify heart failure hospitalisations in patients with diabetes within the veterans health administration. Presley CA, Min JY, Chipman J, Greevy RA, Grijalva CG, Griffin MR, Roumie CL (2018) BMJ Open 8: e020455 Factors Associated With Increased In-Hospital Mortality Among Children With Intracerebral Hemorrhage. Adil MM, Qureshi AI, Beslow LA, Malik AA, Jordan LC (2015) J Child Neurol 30: 1024-8
Hints: (1) double-click or double-tap to navigate to a node. (2) Grab a node and move it to arrange the graph.