Systems for the collection of clinical data
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Literature

Numerous articles on clinical registries are being published each year. Here is a list of selected publications:

  1. Abdellatif M, Reda DJ (2004) A Paradox(R)-based data collection and management system for multi-center randomized clinical trials. Computer Methods and Programs in Biomedicine 73:145-164
  2. Brandt CA, Argraves S, Money R, Ananth G, Trocky NM, Nadkarni PM (2006) Informatics tools to improve clinical research study implementation. Contemporary Clinical Trials 27:112-122
  3. Brandt CA, Cohen DB, Shifman MA, Miller PL, Nadkarni PM, Frawley SJ (2004) Approaches and informatics tools to assist in the integration of similiar clinical research questionnaires. Methods of Information in Medicine 43:156-162
  4. Brandt CA, Gadagkar R, Rodriguez C, Nadkarni PA (2004) Managing complex change in clinical study metadata. Journal of the American Medical Informatics Association 11:380-391
  5. Brandt CA, Morse R, Matthews K, Sun KX, Deshpande AM, Gadagkar R, Cohen DB, Miller PL, Nadkarni PM (2002) Metadata-driven creation of data marts from an EAV-modeled clinical research database. International Journal of Medical Informatics 65:225-241
  6. Brandt CA, Nadkarni P, Marenco L, Karras BT, Lu C, Schacter L, Fisk JM, Miller PL (2000) Reengineering a database for clinical trials management: Lessons for system architects. Controlled Clinical Trials 21:440-461
  7. Brandt CA, Nadkarni P, Schacter L, Zelterman D, Li YL, Fisk JA, Shultz EK, Miller PL (1998) ACT/DB: A clinical trials database being refined on a pilot basis at two medical centers. Journal of the American Medical Informatics Association:1117-1117
  8. Brandt CA, Sun K, Charpentier P, Nadkarni PM (2004) Integration of Web-based and PC-based clinical research databases. Methods of Information in Medicine 43:287-295
  9. Day S, Fayers P, Harvey D (1998) Double data entry: What value, what price? Controlled Clinical Trials 19:15-24
  10. Deshpande AM, Brandt C, Nadkarni PM (2002) Metadata-driven ad hoc query of patient data: Meeting the needs of clinical studies. Journal of the American Medical Informatics Association 9:369-382
  11. Deshpande AM, Brandt C, Nadkarni PM (2003) Temporal query of attribute-value patient data: utilizing the constraints of clinical studies. International Journal of Medical Informatics 70:59-77
  12. Deshpande AM, Nadkarni PM (2001) Metadata-driven ad hoc query of clinical studies data. Journal of the American Medical Informatics Association:891-891
  13. Dinu V, Nadkarni P, Brandt C (2006) Pivoting approaches for bulk extraction of Entity-Attribute-Value data. Computer Methods and Programs in Biomedicine 82:38-43
  14. Dostal C, Pavelka K, Zvarova J, Hanzlicek P, Olejarova M (2006) Some principles of the development of a clinical database/national register of selected inflammatory rheumatic diseases in the Czech Republic. International Journal of Medical Informatics 75:216-223
  15. Fisk JM, Mutalik P, Levin FW, Erdos J, Taylor C, Nadkarni P (2003) Integrating query of relational and textual data in clinical databases: A case study. Journal of the American Medical Informatics Association 10:21-38
  16. Goossen WTF, Jonker MJ, Heitmann KU, Jongeneel-de Haas IC, de Jong T, van der Slikke JW, Kabbes BL (2003) Electronic patient records: domain message information model perinatology. International Journal of Medical Informatics 70:265-276
  17. Gortzis L, Koubias S, Nikiforidis G (2004) Design and implementation of a web-enabled haematological system. Computer Methods and Programs in Biomedicine 75:221-234
  18. Hayrinen K, Saranto K, Nykanen P Definition, structure, content, use and impacts of electronic health records: A review of the research literature. International Journal of Medical Informatics In Press, Corrected Proof
  19. Holbrook A, Keshavjee K, Troyan S, Pray M, Ford PT (2003) Applying methodology to electronic medical record selection. International Journal of Medical Informatics 71:43-50
  20. Chen RS, Nadkarni P, Marenco L, Levin F, Erdos J, Miller PL (2000) Exploring performance issues for a clinical database organized using an entity-attribute-value representation. Journal of the American Medical Informatics Association 7:475-487
  21. Kouba Z (2003) Datové sklady a získávání znalostí. In: Mařík V, Štěpánková O, Lažanský J (eds) Umělá inteligence IV. Academia, Praha, pp 313-354
  22. Lavrac N (1999) Selected techniques for data mining in medicine. Artif Intell Med 16:3-23
  23. Lowe HJ (2002) Electronic Medical Records: A Guide for Clinicians and Administrators. Journal of Biomedical Informatics 35:140-141
  24. Marenco L, Tosches N, Crasto C, Shepherd G, Miller PL, Nadkarni PM (2003) Achieving evolvable Web-database bioscience applications using the EAV/CR framework: Recent advances. Journal of the American Medical Informatics Association 10:444-453
  25. Mullins IM, Siadaty MS, Lyman J, Scully K, Garrett CT, Greg Miller W, Muller R, Robson B, Apte C, Weiss S (2006) Data mining and clinical data repositories: Insights from a 667,000 patient data set. Computers in Biology and Medicine 36:1351-1377
  26. Nadkarni P, Chen R, Brandt C (2001) UMLS concept indexing for production databases: A feasibility study. Journal of the American Medical Informatics Association 8:80-91
  27. Nadkarni P, Marenco L (2001) Easing the transition between attribute-value databases and conventional databases for scientific data. Journal of the American Medical Informatics Association:483-487
  28. Nadkarni P, Wiepert M (2005) Translating pharmacogenomics discoveries into clinical practice: the role of curated databases. Pharmacogenomics 6:451-454
  29. Nadkarni PM, Brandt C (1998) Data extraction and ad hoc query of an entity - Attribute - Value database. Journal of the American Medical Informatics Association 5:511-527
  30. Nadkarni PM, Brandt CM, Marenco L (2000) WebEAV: Automatic metadata-driven generation of Web interfaces to entity-attribute-value databases. Journal of the American Medical Informatics Association 7:343-356
  31. Nadkarni PM, Marenco L, Chen R, Skoufos E, Shepherd G, Miller P (1999) Organization of heterogeneous scientific data using the EAV/CR representation. Journal of the American Medical Informatics Association 6:478-493
  32. ORACLE (ed) (2002) An Oracle White Paper - Oracle Clinical.
  33. Sujansky W (2001) Heterogeneous Database Integration in Biomedicine. Journal of Biomedical Informatics 34:285-298
  34. Takeda H, Matsumura Y, Nakajima K, Kuwata S, Zhenjun Y, Shanmai J, Qiyan Z, Yufen C, Kusuoka H, Inoue M (2003) Health care quality management by means of an incident report system and an electronic patient record system. International Journal of Medical Informatics 69:285-293
  35. van der Haak M, Wolff AC, Brandner R, Drings P, Wannenmacher M, Wetter T (2003) Data security and protection in cross-institutional electronic patient records. International Journal of Medical Informatics 70:117-130