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7 Harle CA, DiIulio J, Downs SM, Danielson EC, Anders S, Cook RL, Hurley RW, Mamlin BW, Militello LG. Decision-Centered Design of Patient Information Visualizations to Support Chronic Pain Care. Appl Clin Inform 2019;10:719-28. [PMID: 31556075 DOI: 10.1055/s-0039-1696668] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
8 Gao Z, Chen W, Chen X, Wang D, Yi S. Study on the Isomerization of Maleic Acid to Fumaric Acid without Catalyst: Isomerization of Maleic Acid to Fumaric Acid. Bull Korean Chem Soc 2018;39:920-4. [DOI: 10.1002/bkcs.11499] [Cited by in Crossref: 11] [Cited by in F6Publishing: 2] [Article Influence: 3.7] [Reference Citation Analysis]
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11 Dorr DA, D'Autremont C, Pizzimenti C, Weiskopf N, Rope R, Kassakian S, Richardson JE, McClure R, Eisenberg F. Assessing Data Adequacy for High Blood Pressure Clinical Decision Support: A Quantitative Analysis. Appl Clin Inform 2021;12:710-20. [PMID: 34348408 DOI: 10.1055/s-0041-1732401] [Reference Citation Analysis]
12 Drennan VM, Halter M, Brearley S, Carneiro W, Gabe J, Gage H, Grant R, Joly L, de Lusignan S. Investigating the contribution of physician assistants to primary care in England: a mixed-methods study. Health Serv Deliv Res 2014;2:1-136. [DOI: 10.3310/hsdr02160] [Cited by in Crossref: 28] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
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14 Brain E, Geraghty RM, Cook P, Roderick P, Somani B. Risk of UTI in kidney stone formers: a matched-cohort study over a median follow-up of 19 years. World J Urol 2021;39:3095-101. [PMID: 33403436 DOI: 10.1007/s00345-020-03564-7] [Reference Citation Analysis]
15 Liaw ST, Sulaiman ND, Barton CA, Chondros P, Harris CA, Sawyer S, Dharmage SC. An interactive workshop plus locally adapted guidelines can improve general practitioners asthma management and knowledge: a cluster randomised trial in the Australian setting. BMC Fam Pract 2008;9:22. [PMID: 18423050 DOI: 10.1186/1471-2296-9-22] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 1.1] [Reference Citation Analysis]
16 Schleyer T, Song M, Gilbert GH, Rindal DB, Fellows JL, Gordan VV, Funkhouser E. Electronic dental record use and clinical information management patterns among practitioner-investigators in The Dental Practice-Based Research Network. J Am Dent Assoc 2013;144:49-58. [PMID: 23283926 DOI: 10.14219/jada.archive.2013.0013] [Cited by in Crossref: 17] [Cited by in F6Publishing: 17] [Article Influence: 2.1] [Reference Citation Analysis]
17 Gijsen R, Poos MJ. Using registries in general practice to estimate countrywide morbidity in The Netherlands. Public Health 2006;120:923-36. [DOI: 10.1016/j.puhe.2006.06.005] [Cited by in Crossref: 23] [Cited by in F6Publishing: 20] [Article Influence: 1.5] [Reference Citation Analysis]
18 Aguilar-Palacio I, Carrera-Lasfuentes P, Poblador-Plou B, Prados-Torres A, Rabanaque-Hernández MJ; por el Grupo de Investigación en Servicios Sanitarios de Aragón (GRISSA). [Morbidity and drug consumption. Comparison of results between the National Health Survey and electronic medical records]. Gac Sanit 2014;28:41-7. [PMID: 23680136 DOI: 10.1016/j.gaceta.2013.04.004] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 0.6] [Reference Citation Analysis]
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20 Weiskopf NG, Bakken S, Hripcsak G, Weng C. A Data Quality Assessment Guideline for Electronic Health Record Data Reuse. EGEMS (Wash DC) 2017;5:14. [PMID: 29881734 DOI: 10.5334/egems.218] [Cited by in Crossref: 21] [Cited by in F6Publishing: 25] [Article Influence: 5.3] [Reference Citation Analysis]
21 Cox AT, Linton T, Lentaigne J, Sharma S, Wilson D. A review of the documentation in the British Armed Forces electronic patient record following discharge from the Role 3 Hospital in Camp Bastion. J R Army Med Corps 2015;161:132-4. [PMID: 25280475 DOI: 10.1136/jramc-2014-000337] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
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23 De Lusignan S, Hague N, Van Vlymen J, Dhoul N, Chan T, Thana L, Kumarapeli P. A study of cardiovascular risk in overweight and obese people in England. European Journal of General Practice 2009;12:19-29. [DOI: 10.1080/13814780600757260] [Cited by in Crossref: 13] [Cited by in F6Publishing: 11] [Article Influence: 1.1] [Reference Citation Analysis]
24 Lau F, Price M, Boyd J, Partridge C, Bell H, Raworth R. Impact of electronic medical record on physician practice in office settings: a systematic review. BMC Med Inform Decis Mak 2012;12:10. [PMID: 22364529 DOI: 10.1186/1472-6947-12-10] [Cited by in Crossref: 95] [Cited by in F6Publishing: 67] [Article Influence: 10.6] [Reference Citation Analysis]
25 Kullo IJ, Fan J, Pathak J, Savova GK, Ali Z, Chute CG. Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease. J Am Med Inform Assoc 2010;17:568-74. [PMID: 20819866 DOI: 10.1136/jamia.2010.004366] [Cited by in Crossref: 95] [Cited by in F6Publishing: 90] [Article Influence: 8.6] [Reference Citation Analysis]
26 Atkinson MD, Kennedy JI, John A, Lewis KE, Lyons RA, Brophy ST; DEMISTIFY Research Group. Development of an algorithm for determining smoking status and behaviour over the life course from UK electronic primary care records. BMC Med Inform Decis Mak 2017;17:2. [PMID: 28056955 DOI: 10.1186/s12911-016-0400-6] [Cited by in Crossref: 15] [Cited by in F6Publishing: 12] [Article Influence: 3.8] [Reference Citation Analysis]
27 Bailie R, Bailie J, Chakraborty A, Swift K. Consistency of denominator data in electronic health records in Australian primary healthcare services: enhancing data quality. Aust J Prim Health 2015;21:450-9. [PMID: 25347050 DOI: 10.1071/PY14071] [Cited by in Crossref: 10] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
28 Leightley D, Chui Z, Jones M, Landau S, McCrone P, Hayes RD, Wessely S, Fear NT, Goodwin L. Integrating electronic healthcare records of armed forces personnel: Developing a framework for evaluating health outcomes in England, Scotland and Wales. Int J Med Inform 2018;113:17-25. [PMID: 29602429 DOI: 10.1016/j.ijmedinf.2018.02.012] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
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30 Romero DE, Cunha CBD. Avaliação da qualidade das variáveis sócio-econômicas e demográficas dos óbitos de crianças menores de um ano registrados no Sistema de Informações sobre Mortalidade do Brasil (1996/2001). Cad Saúde Pública 2006;22:673-81. [DOI: 10.1590/s0102-311x2006000300022] [Cited by in Crossref: 44] [Cited by in F6Publishing: 2] [Article Influence: 2.9] [Reference Citation Analysis]
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34 Tsang C, Majeed A, Aylin P. Routinely recorded patient safety events in primary care: a literature review. Family Practice 2012;29:8-15. [DOI: 10.1093/fampra/cmr050] [Cited by in Crossref: 16] [Cited by in F6Publishing: 13] [Article Influence: 1.6] [Reference Citation Analysis]
35 de Lusignan S, Belsey J, Hague N, Dhoul N, van Vlymen J. Audit-based education to reduce suboptimal management of cholesterol in primary care: a before and after study. Journal of Public Health 2006;28:361-9. [DOI: 10.1093/pubmed/fdl052] [Cited by in Crossref: 17] [Cited by in F6Publishing: 12] [Article Influence: 1.1] [Reference Citation Analysis]
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37 Amoakoh-Coleman M, Ansah E, Klipstein-Grobusch K, Arhinful D. Completeness of obstetric referral letters/notes from subdistrict to district level in three rural districts in Greater Accra region of Ghana: an implementation research using mixed methods. BMJ Open 2019;9:e029785. [PMID: 31519675 DOI: 10.1136/bmjopen-2019-029785] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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41 Clayton JA, Rodgers S, Blakey J, Avery A, Hall IP. Thiazide diuretic prescription and electrolyte abnormalities in primary care. Br J Clin Pharmacol 2006;61:87-95. [PMID: 16390355 DOI: 10.1111/j.1365-2125.2005.02531.x] [Cited by in Crossref: 97] [Cited by in F6Publishing: 58] [Article Influence: 6.5] [Reference Citation Analysis]
42 Hammersley VS, Morris CJ, Rodgers S, Cantrill JA, Avery AJ. Applying preventable drug-related morbidity indicators to the electronic patient record in UK primary care: methodological development. J Clin Pharm Ther 2006;31:223-9. [PMID: 16789987 DOI: 10.1111/j.1365-2710.2006.00723.x] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 0.7] [Reference Citation Analysis]
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44 Liaw ST, Rahimi A, Ray P, Taggart J, Dennis S, de Lusignan S, Jalaludin B, Yeo AE, Talaei-Khoei A. Towards an ontology for data quality in integrated chronic disease management: a realist review of the literature. Int J Med Inform 2013;82:10-24. [PMID: 23122633 DOI: 10.1016/j.ijmedinf.2012.10.001] [Cited by in Crossref: 80] [Cited by in F6Publishing: 53] [Article Influence: 8.9] [Reference Citation Analysis]
45 Ivers NM, Tu K, Francis J, Barnsley J, Shah B, Upshur R, Kiss A, Grimshaw JM, Zwarenstein M. Feedback GAP: study protocol for a cluster-randomized trial of goal setting and action plans to increase the effectiveness of audit and feedback interventions in primary care. Implement Sci 2010;5:98. [PMID: 21167034 DOI: 10.1186/1748-5908-5-98] [Cited by in Crossref: 20] [Cited by in F6Publishing: 17] [Article Influence: 1.8] [Reference Citation Analysis]
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47 Ong DS, Kuyvenhoven MM, van Dijk L, Verheij TJ. Antibiotics for respiratory, ear and urinary tract disorders and consistency among GPs. J Antimicrob Chemother 2008;62:587-92. [PMID: 18544602 DOI: 10.1093/jac/dkn230] [Cited by in Crossref: 28] [Cited by in F6Publishing: 29] [Article Influence: 2.2] [Reference Citation Analysis]
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49 Patel RC, Amorim G, Jakait B, Shepherd BE, Mocello AR, Musick B, Bernard C, Onono M, Bukusi EA, Wools-Kaloustian K, Cohen CR, Yiannoutsos CT; Implant/Efavirenz Study Group and the East Africa IeDEA Regional Consortium. Pregnancies among women living with HIV using contraceptives and antiretroviral therapy in western Kenya: a retrospective, cohort study. BMC Med 2021;19:178. [PMID: 34384443 DOI: 10.1186/s12916-021-02043-z] [Reference Citation Analysis]
50 Fernandes AC, Chandran D, Khondoker M, Dewey M, Shetty H, Dutta R, Stewart R. Demographic and clinical factors associated with different antidepressant treatments: a retrospective cohort study design in a UK psychiatric healthcare setting. BMJ Open 2018;8:e022170. [PMID: 30185574 DOI: 10.1136/bmjopen-2018-022170] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
51 Linder JA, Kaleba EO, Kmetik KS. Using Electronic Health Records to Measure Physician Performance for Acute Conditions in Primary Care: Empirical Evaluation of the Community-Acquired Pneumonia Clinical Quality Measure Set. Medical Care 2009;47:208-16. [DOI: 10.1097/mlr.0b013e318189375f] [Cited by in Crossref: 30] [Cited by in F6Publishing: 13] [Article Influence: 2.5] [Reference Citation Analysis]
52 Gadzhanova S, Iankov II, Warren JR, Stanek J, Misan GM, Baig Z, Ponte L. Developing high-specificity anti-hypertensive alerts by therapeutic state analysis of electronic prescribing records. J Am Med Inform Assoc 2007;14:100-9. [PMID: 17068356 DOI: 10.1197/jamia.M2169] [Cited by in Crossref: 2] [Article Influence: 0.1] [Reference Citation Analysis]
53 Redon J, Tellez-Plaza M, Orozco-Beltran D, Gil-Guillen V, Pita Fernandez S, Navarro-Pérez J, Pallares V, Valls F, Fernandez A, Perez-Navarro AM, Sanchis C, Dominguez-Lucas A, Sanz G, Martin-Moreno JM; ESCARVAL Study Group. Impact of hypertension on mortality and cardiovascular disease burden in patients with cardiovascular risk factors from a general practice setting: the ESCARVAL-risk study. J Hypertens 2016;34:1075-83. [PMID: 27074896 DOI: 10.1097/HJH.0000000000000930] [Cited by in Crossref: 38] [Cited by in F6Publishing: 18] [Article Influence: 9.5] [Reference Citation Analysis]
54 Espetvedt MN, Reksen O, Rintakoski S, Østerås O. Data quality in the Norwegian dairy herd recording system: agreement between the national database and disease recording on farm. J Dairy Sci 2013;96:2271-82. [PMID: 23462169 DOI: 10.3168/jds.2012-6143] [Cited by in Crossref: 14] [Cited by in F6Publishing: 10] [Article Influence: 1.8] [Reference Citation Analysis]
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58 Wood GC, Still CD, Chu X, Susek M, Erdman R, Hartman C, Yeager S, Blosky MA, Krum W, Carey DJ, Skelding KA, Benotti P, Stewart WF, Gerhard GS. Association of chromosome 9p21 SNPs with cardiovascular phenotypes in morbid obesity using electronic health record data. Genomic Med 2008;2:33-43. [PMID: 18716918 DOI: 10.1007/s11568-008-9023-z] [Cited by in Crossref: 17] [Cited by in F6Publishing: 12] [Article Influence: 1.3] [Reference Citation Analysis]
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