Suchergebnisse - ((((programy OR programm) OR programm) OR programovaci) OR programovanie) site informatik~

Relation: Arts DG, De Keizer NF, Scheffer GJ. Defining and improving data quality in medical registries: a literature review, case study, and generic framework. J Am Med Inform Assoc. 2002 Nov-Dec;9(6):600-11. DOI:10.1197/jamia.M1087; Baigent C, Harrell FE, Buyse M, Emberson JR, Altman DG. Ensuring trial validity by data quality assurance and diversification of monitoring methods. Clin Trials. 2008;5(1):49-55. DOI:10.1177/1740774507087554; Berner ES, Kasiraman RK, Yu F, Ray MN, Houston TK. Data quality in the outpatient setting: impact on clinical decision support systems. AMIA Annu Symp Proc. 2005:41-5.; Botsis T, Hartvigsen G, Chen F, Weng C. Secondary Use of EHR: Data Quality Issues and Informatics Opportunities. Summit Transl Bioinform. 2010 Mar 1;2010:1-5.; Bray F, Parkin DM. Evaluation of data quality in the cancer registry: principles and methods. Part I: comparability, validity and timeliness. Eur J Cancer. 2009 Mar;45(5):747-55. DOI:10.1016/j.ejca.2008.11.032; Brender JD, Suarez L, Langlois PH. Validity of parental work information on the birth certificate. BMC Public Health. 2008 Mar;8:95. DOI:10.1186/1471-2458-8-95; Brennan PF, Stead WW. Assessing data quality: from concordance, through correctness and completeness, to valid manipulatable representations. J Am Med Inform Assoc. 2000 Jan-Feb;7(1):106-7. DOI:10.1136/jamia.2000.0070106; Bronnert J, Clark JS, Cassidy BS, Fenton S, Hyde L, Kallem C, Watzlaf V. Data quality management model (updated). J AHIMA. 2012 Jul;83(7):62-71.; Brooke EM. The current and future use of registries in health information systems. Geneva: World Health Organization; 1974.; Brouwer HJ, Bindels PJ, Weert HC. Data quality improvement in general practice. Fam Pract. 2006 Oct;23(5):529-36. DOI:10.1093/fampra/cml040; Chiba Y, Oguttu MA, Nakayama T. Quantitative and qualitative verification of data quality in the childbirth registers of two rural district hospitals in Western Kenya. Midwifery. 2012 Jun;28(3):329-39. DOI:10.1016/j.midw.2011.05.005; Choquet R, Qouiyd S, Ouagne D, Pasche E, Daniel C, Boussad O, Jaulent MC. The Information Quality Triangle: a methodology to assess clinical information quality. Stud Health Technol Inform. 2010;160(Pt 1):699-703.; Coorevits P, Sundgren M, Klein GO, Bahr A, Claerhout B, Daniel C, Dugas M, Dupont D, Schmidt A, Singleton P, De Moor G, Kalra D. Electronic health records: new opportunities for clinical research. J Intern Med. 2013 Dec;274(6):547-60. DOI:10.1111/joim.12119; Couchoud C, Lassalle M, Cornet R, Jager KJ. Renal replacement therapy registries - time for a structured data quality evaluation programme. Nephrol Dial Transplant. 2013 Sep;28(9):2215-20. DOI:10.1093/ndt/gft004; De S. Hybrid approaches to clinical trial monitoring: Practical alternatives to 100% source data verification. Perspect Clin Res. 2011 Jul;2(3):100-4. DOI:10.4103/2229-3485.83226; Deming WE. Out of the crisis. Cambridge: Cambridge University Press; 1982.; Donabedian A. Evaluating the quality of medical care. Milbank Mem Fund Q. 1966 Jul;44(3):166-206.; Duda SN, Shepherd BE, Gadd CS, Masys DR, McGowan CC. Measuring the quality of observational study data in an international HIV research network. PLoS ONE. 2012;7(4):e33908. DOI:10.1371/journal.pone.0033908; Dugas M, Lange M, Müller-Tidow C, Kirchhof P, Prokosch HU. Routine data from hospital information systems can support patient recruitment for clinical studies. Clin Trials. 2010 Apr;7(2):183-9. DOI:10.1177/1740774510363013; Dyck MJ, Culp K, Cacchione PZ. Data quality strategies in cohort studies: lessons from a study on delirium in nursing home elders. Appl Nurs Res. 2007 Feb;20(1):39-43. DOI:10.1016/j.apnr.2006.01.004; França E, de Abreu DX, Rao C, Lopez AD. Evaluation of cause-of-death statistics for Brazil, 2002-2004. Int J Epidemiol. 2008 Aug;37(4):891-901. DOI:10.1093/ije/dyn121; Johnson SG, Speedie S, Simon G, Kumar V, Westra BL. Application of An Ontology for Characterizing Data Quality For a Secondary Use of EHR Data. Appl Clin Inform. 2016;7(1):69-88. DOI:10.4338/ACI-2015-08-RA-0107; Joint Commission on Accreditation of Healthcare Organisations (JCAHO). Primer on indicator development and application. Measuring Quality in Health Care. Oakbrook Terrace: JCAHO; 1990.; Kahn MG, Raebel MA, Glanz JM, Riedlinger K, Steiner JF. A pragmatic framework for single-site and multisite data quality assessment in electronic health record-based clinical research. Med Care. 2012 Jul;50 Suppl:S21-9. DOI:10.1097/MLR.0b013e318257dd67; Kahn MG, Callahan TJ, Barnard J, Bauck AE, Brown J, Davidson BN, Estiri H, Goerg C, Holve E, Johnson SG, Liaw ST, Hamilton-Lopez M, Meeker D, Ong TC, Ryan P, Shang N, Weiskopf NG, Weng C, Zozus MN, Schilling L. A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data. EGEMS (Wash DC). 2016 Sep 11;4(1):1244. DOI:10.13063/2327-9214.1244; Krzych LJ, Lees B, Nugara F, Banya W, Bochenek A, Cook J, Taggart D, Flather MD. Assessment of data quality in an international multi-centre randomised trial of coronary artery surgery. Trials. 2011 Sep;12:212. DOI:10.1186/1745-6215-12-212; Larsen IK, Småstuen M, Johannesen TB, Langmark F, Parkin DM, Bray F, Møller B. Data quality at the Cancer Registry of Norway: an overview of comparability, completeness, validity and timeliness. Eur J Cancer. 2009 May;45(7):1218-31. DOI:10.1016/j.ejca.2008.10.037; Loane M, Dolk H, Garne E, Greenlees R; EUROCAT Working Group. Paper 3: EUROCAT data quality indicators for population-based registries of congenital anomalies. Birth Defects Res Part A Clin Mol Teratol. 2011 Mar;91 Suppl 1:S23-30. DOI:10.1002/bdra.20779; Macefield RC, Beswick AD, Blazeby JM, Lane JA. A systematic review of on-site monitoring methods for health-care randomised controlled trials. Clin Trials. 2013 Feb;10(1):104-24. DOI:10.1177/1740774512467405; Malin JL, Keating NL. The cost-quality trade-off: need for data quality standards for studies that impact clinical practice and health policy. J Clin Oncol. 2005 Jul;23(21):4581-4. DOI:10.1200/JCO.2005.01.912; Maruszewski B, Lacour-Gayet F, Monro JL, Keogh BE, Tobota Z, Kansy A. An attempt at data verification in the EACTS Congenital Database. Eur J Cardiothorac Surg. 2005 Sep;28(3):400-4; discussion 405-6. DOI:10.1016/j.ejcts.2005.03.051; McKenzie K, Walker S, Besenyei A, Aitken LM, Allison B. Assessing the concordance of trauma registry data and hospital records. Health Inf Manag. 2005;34(1):3-7. DOI:10.1177/183335830503400103; Messenger JC, Ho KK, Young CH, Slattery LE, Draoui JC, Curtis JP, Dehmer GJ, Grover FL, Mirro MJ, Reynolds MR, Rokos IC, Spertus JA, Wang TY, Winston SA, Rumsfeld JS, Masoudi FA; NCDR Science and Quality Oversight Committee Data Quality Workgroup. The National Cardiovascular Data Registry (NCDR) Data Quality Brief: the NCDR Data Quality Program in 2012. J Am Coll Cardiol. 2012 Oct;60(16):1484-8. DOI:10.1016/j.jacc.2012.07.020; Mphatswe W, Mate KS, Bennett B, Ngidi H, Reddy J, Barker PM, Rollins N. Improving public health information: a data quality intervention in KwaZulu-Natal, South Africa. Bull World Health Organ. 2012 Mar;90(3):176-82. DOI:10.2471/BLT.11.092759; Nahm ML, Pieper CF, Cunningham MM. Quantifying data quality for clinical trials using electronic data capture. PLoS ONE. 2008 Aug;3(8):e3049. DOI:10.1371/journal.pone.0003049; Ngouongo SM, Löbe M, Stausberg J. The ISO/IEC 11179 norm for metadata registries: does it cover healthcare standards in empirical research? J Biomed Inform. 2013 Apr;46(2):318-27. DOI:10.1016/j.jbi.2012.11.008; Nonnemacher M, Weiland D, Neuhäuser M, Stausberg J. Adaptive management of data quality in cohort studies and registers: proposal for a guideline. Acta Inform Med. 2007;15:225-30.; Nonnemacher M, Weiland D, Stausberg J. Datenqualität in der medizinischen Forschung. Leitlinie zum adaptiven Management von Datenqualität in Kohortenstudien und Registern. Berlin: Medizinisch Wissenschaftliche Verlagsgesellschaft; 2007.; Nonnemacher M, Nasseh D, Stausberg J. Datenqualität in der medizinischen Forschung. 2., aktual. u. erw. Aufl. Berlin: Medizinisch Wissenschaftliche Verlagsgesellschaft; 2014.; Salati M, Brunelli A, Dahan M, Rocco G, Van Raemdonck DE, Varela G; European Society of Thoracic Surgeons Database Committee. Task-independent metrics to assess the data quality of medical registries using the European Society of Thoracic Surgeons (ESTS) Database. Eur J Cardiothorac Surg. 2011 Jul;40(1):91-8. DOI:10.1016/j.ejcts.2010.11.004; Sáez C, Martínez-Miranda J, Robles M, García-Gómez JM. Organizing data quality assessment of shifting biomedical data. Stud Health Technol Inform. 2012;180:721-5.; Shabestari O, Roudsari A. Challenges in data quality assurance for electronic health records. Stud Health Technol Inform. 2013;183:37-41.; Sigurdardottir LG, Jonasson JG, Stefansdottir S, Jonsdottir A, Olafsdottir GH, Olafsdottir EJ, Tryggvadottir L. Data quality at the Icelandic Cancer Registry: comparability, validity, timeliness and completeness. Acta Oncol. 2012 Sep;51(7):880-9. DOI:10.3109/0284186X.2012.698751; Sorensen HT, Sabroe S, Olsen J. A framework for evaluation of secondary data sources for epidemiological research. Int J Epidemiol. 1996 Apr;25(2):435-42. DOI:10.1093/ije/25.2.435; Stausberg J, Pritzkuleit R, Schmidt CO, Schrader T, Nonnemacher M. Indicators of data quality: revision of a guideline for networked medical research. Stud Health Technol Inform. 2012;180:711-5.; Stevens W, Stevens G, Kolbe J, Cox B. Comparison of New Zealand Cancer Registry data with an independent lung cancer audit. N Z Med J. 2008 Jun 20;121(1276):29-41.; Taggart J, Liaw ST, Dennis S, Yu H, Rahimi A, Jalaludin B, Harris M. The University of NSW electronic practice based research network: disease registers, data quality and utility. Stud Health Technol Inform. 2012;178:219-27.; Thoburn KK, German RR, Lewis M, Nichols PJ, Ahmed F, Jackson-Thompson J. Case completeness and data accuracy in the Centers for Disease Control and Prevention's National Program of Cancer Registries. Cancer. 2007 Apr;109(8):1607-16. DOI:10.1002/cncr.22566; Tolonen H, Dobson A, Kulathinal S; WHO MONICA Project. Assessing the quality of risk factor survey data: lessons from the WHO MONICA Project. Eur J Cardiovasc Prev Rehabil. 2006 Feb;13(1):104-14. DOI:10.1097/00149831-200602000-00017; Tuble SC. Perfusion Downunder Collaboration Database - data quality assurance: towards a high quality clinical database. J Extra Corpor Technol. 2011 Mar;43(1):P44-51.; Tudur Smith C, Stocken DD, Dunn J, Cox T, Ghaneh P, Cunningham D, Neoptolemos JP. The value of source data verification in a cancer clinical trial. PLoS ONE. 2012;7(12):e51623. DOI:10.1371/journal.pone.0051623; Venet D, Doffagne E, Burzykowski T, Beckers F, Tellier Y, Genevois-Marlin E, Becker U, Bee V, Wilson V, Legrand C, Buyse M. A statistical approach to central monitoring of data quality in clinical trials. Clin Trials. 2012 Dec;9(6):705-13. DOI:10.1177/1740774512447898; Verhulst K, Artiles-Carloni L, Beck M, Clarke JT, Neto JC, Cox GF, Fernhoff PM, Guffon N, Kong Y, Martins AM, Tylki-Szymanska A, Whitley CB, Wijburg FA, Wraith EJ, Koepper CM. Source document verification in the Mucopolysaccharidosis Type I Registry. Pharmacoepidemiol Drug Saf. 2012 Jul;21(7):749-752. DOI:10.1002/pds.2200; Wang RY, Strong DM. Beyond accuracy: what data quality means to data consumers. J Manag Inf Syst. 1996;12:5-33. DOI:10.1080/07421222.1996.11518099; Weiskopf NG, Weng C. Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research. J Am Med Inform Assoc. 2013 Jan;20(1):144-51. DOI:10.1136/amiajnl-2011-000681; Winter A, Funkat G, Haeber A, Mauz-Koerholz C, Pommerening K, Smers S, Stausberg J. Integrated information systems for translational medicine. Methods Inf Med. 2007;46(5):601-7. DOI:10.1160/ME9063; Wu Y, Takkenberg JJ, Grunkemeier GL. Measuring follow-up completeness. Ann Thorac Surg. 2008 Apr;85(4):1155-7. DOI:10.1016/j.athoracsur.2007.12.012; Xian Y, Fonarow GC, Reeves MJ, Webb LE, Blevins J, Demyanenko VS, Zhao X, Olson DM, Hernandez AF, Peterson ED, Schwamm LH, Smith EE. Data quality in the American Heart Association Get With The Guidelines-Stroke (GWTG-Stroke): results from a national data validation audit. Am Heart J. 2012 Mar;163(3):392-8, 398.e1. DOI:10.1016/j.ahj.2011.12.012; Ziegler A, König IR. Leitlinien fur Forschungsberichte: Deutschsprachige Übersetzungen von CONSORT 2010, PRISMA und STARD. [Guidelines for research reports: German translation of CONSORT 2010, PRISMA and STARD]. Dtsch Med Wochenschr. 2011 Feb;136(8):357-8. DOI:10.1055/s-0031-1272535; http://dx.doi.org/10.3205/mibe000199; http://nbn-resolving.de/urn:nbn:de:0183-mibe0001998; http://www.egms.de/en/journals/mibe/2019-15/mibe000199.shtml

Verfügbarkeit: https://doi.org/10.3205/mibe000199
http://nbn-resolving.de/urn:nbn:de:0183-mibe0001998
http://www.egms.de/en/journals/mibe/2019-15/mibe000199.shtml

View record from BASE

Nájsť tento článok vo Web of Science

6