Persönliche Literaturempfehlungen zu Tumordokumentation

Folgende persönliche Auswahl an themenbezogener Literatur erhebt keinen Anspruch auf Vollständigkeit:

  1. Singprasong R, Eldabi T. An integrated methodology for process improvement and delivery system visualization at a multidisciplinary cancer center. J Healthc Qual. 2011. doi:10.1111/j.1945-1474.2011.00174.x.
  2. Organization WH. WHO | Global cancer rates could increase by 50 % to 15 million by 2020. 2003. http://www.who.int/mediacentre/news/releases/2003/pr27/en/. Accessed 08.04.2011.
  3. Krumm R, Semjonow A, Tio J, Duhme H, Bürkle T, Haier J, et al. The need for harmonized structured documentation and chances of secondary use – results of a systematic analysis with automated form comparison for prostate and breast cancer. J Biomed Inform. 2014;51:86–99. doi:10.1016/j.jbi.2014.04.008.
  4. Ries M, Golcher H, Prokosch H-U, Beckmann MW, Bürkle T. An EMR based cancer diary – utilisation and initial usability evaluation of a new cancer data visualization tool. Stud Health Technol Inform. 2012;180:656–60.
  5. Califano A, Chinnaiyan A, Duyk GM, Gambhir SS, Hubbard T, Lipman DJ, et al. An assessment of the impact of the NCI cancer biomedical informatics grid (caBIG®): Report of the Board of Scientific Advisors Ad Hoc Working Group. 2011.
  6. Bilimoria KY, Stewart AK, Winchester DP, Ko CY. The National Cancer Data Base: a powerful initiative to improve cancer care in the United States. Ann Surg Oncol. 2008;15(3):683–90. doi:10.1245/s10434-007-9747-3.
  7. Government A. A national cancer data strategy for Australia. Barton. https://canceraustralia.gov.au/sites/default/files/publications/ncds_final_web1_504af02093a68.pdf.
  8. Evrard S. Enhancing patient safety and quality of surgical cancer care: the French National Cancer Plans. Eur J Surg Oncol. 2010;36 Suppl 1:S14–7. doi:10.1016/j.ejso.2010.06.022.
  9. Zylka-Menhorn V. Nationaler Krebsplan: Startschuss für einen mehrjährigen Prozess. DÄ. 2008;105:A-1431.
  10. Prokosch H-U, Ries M, Beyer A, Schwenk M, Seggewies C, Köpcke F, et al. IT infrastructure components to support clinical care and translational research projects in a comprehensive cancer center. Stud Health Technol Inform. 2011;169:892–6.
  11. Ries M, Prokosch H-U, Beckmann MW, Bürkle T. Single-source tumor documentation – reusing oncology data for different purposes. Onkologie. 2013;36(3):136–41. doi:10.1159/000348528.
  12. Haux R. Health information systems – past, present, future. Int J Med Inform. 2006;75(3-4):268–81. doi:10.1016/j.ijmedinf.2005.08.002.
  13. Haux R. Individualization, globalization and health – about sustainable information technologies and the aim of medical informatics☆. Int J Med Inform. 2006;75(12):795–808. doi:10.1016/j.ijmedinf.2006.05.045.
  14. Haux R, Häber A. Management von Informationssystemen: Analyse, Bewertung, Auswahl, Bereitstellung und Einführung von Informationssystemkomponenten am Beispiel von Krankenhausinformationssystemen. Leitfäden der Informatik. Stuttgart: Teubner; 1998.
  15. Haux R, Seggewies C, Baldauf-Sobez W, Kullmann P, Reichert H, Luedecke L, et al. Soarian – workflow management applied for health care. Methods Inf Med. 2003;42(1):25–36.
  16. Bürkle T, Martin M, Schütz A, Starke K, Wagner S, Ries M, et al. Workflows in cancer treatment and their influence upon clinical documentation. Stud Health Technol Inform. 2013;192:1181.
  17. Altmann U. Gießener Tumordokumentationssystem (GTDS). 2011. http://www.med.uni-giessen.de/akkk/gtds/. Accessed 08.04.2011.
  18. Altmann U, Katz FR, Dudeck J. A reference model for clinical tumour documentation. Stud Health Technol Inform. 2006;124:139–44.
  19. Garde S, Kutscha U, Merzweiler A, Weber R, Knaup P. Integration von Therapieplanung und standardisierter Dokumentation – Ergebnisse aus der Entwicklung und Einführung eines rechnerbasierten Anwendungssystems der Pädiatrischen Onkologie: Forschungsbericht Nr. 01/2004 der Abteilung Medizinische Informatik. Heidelberg: University Heidelberg; 2004.
  20. Carvalho ECA, Batilana AP, Claudino W, Reis LFL, Schmerling RA, Shah J, et al. Workflow in clinical trial sites & its association with near miss events for data quality: ethnographic, workflow & systems simulation. PLoS One. 2012;7(6):e39671. doi:10.1371/journal.pone.0039671.
  21. Carvalho ECA, Jayanti MK, Batilana AP, Kozan AMO, Rodrigues MJ, Shah J, et al. Standardizing clinical trials workflow representation in UML for International Site Comparison. PLoS One. 2010;5(11):e13893. doi:10.1371/journal.pone.0013893.
  22. Lester WT, Ashburner JM, Grant RW, Chueh HC, Barry MJ, Atlas SJ. Mammography fasttrack: an intervention to facilitate reminders for breast cancer screening across a heterogeneous multi-clinic primary care network. J Am Med Inform Assoc. 2009;16(2):187–95. doi:10.1197/jamia.M2813.
  23. Bittner R, Burghardt J, Gross E, Grundmann RT, Hermanek P, Isbert C, et al. Bericht über den Workshop “Workflow Rektumkarzinom II” am 10./11.11.2006 in Burghausen. Zentralblatt für. Chirurgie. 2007;132:95–8.
  24. Buhr HJ, Dommisch K, Fleischer G-M, Gastinger I, Grundmann RT, Hermanek P, et al. Klinischer Ablaufpfad (Workflow) zu Diagnostik, Therapie und Nachsorge des Rektumkarzinoms. Zentralbl Chir. 2006;131:285–97.
  25. Grundmann R, Hölscher A, Bembenek A, Bollschweiler E, Drognitz O, Feuerbach S, et al. Diagnostik und therapie des Magenkarzinoms – workflow. Zentralbl Chir. 2009;134(04):362–74. doi:10.1055/s-0029-1224534.
  26. Grundmann RT, Hermanek P, Merkel S. Diagnostik und Therapie von Lebermetastasen kolorektaler Karzinome – workflow. Zentralbl Chir. 2008;133:267–84.
  27. Bowens FM, Frye PA, Jones WA. Health information technology: integration of clinical workflow into meaningful use of electronic health records. Perspect Health Inf Manag. 2010;7:1d.
  28. Séroussi B, Bouaud J, Antoine É-C. OncoDoc: a successful experiment of computer-supported guideline development and implementation in the treatment of breast cancer. Artif Intell Med. 2001;22:43–64.
  29. Eschenbach AC, Buetow K. Cancer informatics vision: caBIG. Cancer Inform. 2006;22:22–4.
  30. Fenstermacher D, Street C, McSherry T, Nayak V, Overby C, Feldman M. The Cancer Biomedical Informatics Grid (caBIG™): Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1–4, 2005. 2005 27th annual international conference of the IEEE Engineering in Medicine and Biology Society. 2005;1:743–6.
  31. Davidson SJ, Zwemer FL, Nathanson LA, Sable KN, Khan ANGA. Where’s the Beef? The promise and the reality of clinical documentation. Acad Emerg Med. 2004;11(11):1127–34. doi:10.1197/j.aem.2004.08.004.
  32. Brucker SY, Bamberg M, Jonat W, Beckmann MW, Kämmerle A, Kreienberg R, et al. Certification of breast centres in Germany: proof of concept for a prototypical example of quality assurance in multidisciplinary cancer care. BMC Cancer. 2009;9(1):228. doi:10.1186/1471-2407-9-228.
  33. Pomberger G. Softwaretechnik und Modula-2. 2 ed. Hanser-Studien-Bücher. München: Hanser; 1987.
  34. Gerken W. Systemanalyse: Entwurf und Auswahl von DV-Anwendersystemen. Bonn: Addison-Wesley; 1988.
  35. Wagner S. Analyse, Modellierung und Optimierung der Dokumentations-, Diagnostik- und Therapieprozesse für verschiedene Tumorerkrankungen am Universitätsklinikum Erlangen. Erlangen: Friedrich-Alexander-University Erlangen-Nuremberg, Medical faculty; 2015.
  36. Ammenwerth E, Spötl H-P. The time needed for clinical documentation versus direct patient care: a work-sampling analysis of physicians’ activities. Methods Inf Med. 2009;48(1):84–91. doi:10.3414/me0569.
  37. Tafazzoli AG, Altmann U, Bürkle T, Hölzer S, Dudeck J. Integrated decision support in a hospital cancer registry. Artif Intell Med. 2002;24:243–55.
  38. Dugas M, Breil B, Thiemann V, Lechtenbörger J, Vossen G. Single source information systems to connect patient care and clinical research. Stud Health Technol Inform. 2009;150:61–5.
  39. Berger DP, Engelhardt R, Mertelsmann R, Engelhardt M. Das Rote Buch: Hämatologie und Internistische Onkologie. 4th ed. Heidelberg: ecomed Medizin; 2010.
  40. Preiß J, Bettag M, editors. Taschenbuch Onkologie: Interdisziplinäre Empfehlungen zur Therapie 2010/2011. 15th ed. München: Zuckschwerdt; 2010.
  41. Schmoll H-J, Höffken K, Possinger K. Kompendium Internistische Onkologie: Standards in Diagnostik und Therapie. 4th ed. Berlin; Heidelberg: Springer; 2006.
  42. Seeber S, Schütte J, editors. Therapiekonzepte Onkologie. 4th ed. Heidelberg: Springer Medizin; 2003.
  43. De Clercq P, Blom JA, Korsten HHM, Hasman A. Approaches for creating computer-interpretable guidelines that facilitate decision support. Artif Intell Med. 2004;31(1):1–27. doi:10.1016/j.artmed.2004.02.003.
  44. De Clercq P, Kaiser K, Hasman A. Computer-interpretable Guideline Formalisms. Stud Health Technol Inform. 2008;139:22–43.
  45. Bürkle T, Castellanos I, Tech H, Prokosch H-U. Implementation of a patient data management system – an evaluation study of workflow alterations. Stud Health Technol Inform. 2010;160(Pt 2):1256–60.
  46. Dickhaus CF, Burghart C, Tempany C, D’Amico A, Haker S, Kikinis R, et al. Workflow modeling and analysis of computer guided prostate brachytherapy under MR imaging control. Stud Health Technol Inform. 2004;98:72–4.
  47. Halsted MJ, Froehle CM. Design, implementation, and assessment of a radiology workflow management system. AJR Am J Roentgenol. 2008;191(2):321–7. doi:10.2214/ajr.07.3122.
  48. Kalinski T, Sel S, Hofmann H, Zwönitzer R, Bernarding J, Roessner A. Digital workflow management for quality assessment in pathology. Pathol Res Pract. 2008;204(1):17–21. doi:10.1016/j.prp.2007.12.001.
  49. Ye Y, Jiang Z, Diao X, Yang D, Du G. An ontology-based hierarchical semantic modeling approach to clinical pathway workflows. Comput Biol Med. 2009;39(8):722–32. doi:10.1016/j.compbiomed.2009.05.005.
  50. Bürkle T, Baur T, Höss N. Clinical pathways development and computer support in the EPR: lessons learned. Stud Health Technol Inform. 2006;124:1025–30.
  51. Bürkle T, Kuch R, Prokosch HU, Dudeck J. Stepwise evaluation of information systems in an university hospital. Methods Inf Med. 1999;38(1):9–15. doi:10.1267/meth99010009.
  52. Breil B, Semjonow A, Dugas M. HIS-based electronic documentation can significantly reduce the time from biopsy to final report for prostate tumours and supports quality management as well as clinical research. BMC Med Inform Decis Mak. 2009;9(1):5. doi:10.1186/1472-6947-9-5.
  53. Sonnenberg FA, Hagerty CG. Computer-Interpretable Clinical Practice Guidelines Where Are We and where Are We Going? Yearb Med Inform. 2006;45:145–58.