Single-Source Tumor Documentation - Reusing Oncology Data for Different Purposes

We present a path towards single-source tumor documentation established at the Comprehensive Cancer Center Erlangen-Nürnberg (CCC-EN). Our goal was to derive data for cancer quality assurance and certification, cancer registry documentation and cancer research directly from routine care documentation. Therefore, clinical documentation activities were analyzed and a cancer data superset, containing these required elements, was developed. This superset was then split into appropriate clinical documentation packages, and the existing information technology infrastructure was analyzed and adapted to accommodate those documentation packages. A clinical documentation package is the amount of cancer-relevant data that can be captured within a clinical encounter. This grouping of data enables integration into existing clinical documentation workflows. We present examples in which single-source tumor documentation has been successfully established at the CCC-EN. The resulting cancer documentation reference model is described and its transferability to other institutions discussed.

[1]  J. Dudeck,et al.  Basisdokumentation für Tumorkranke , 1983 .

[2]  C. Claussen,et al.  Brustzentren: Rationale, funktionelles Konzept, Definition und Zertifizierung , 2003 .

[3]  B. Stewart,et al.  World Cancer Report , 2003 .

[4]  M. Seegenschmiedt,et al.  Wesentliche Instrumente in der Qualitätssicherung onkologischer Einrichtungen , 2005, Der Onkologe.

[5]  R. Kreienberg,et al.  Brustzentren—Entwicklung in Deutschland , 2005, Der Onkologe.

[6]  Joachim Dudeck,et al.  A Reference Model for Clinical Tumour Documentation , 2006, MIE.

[7]  Sherri de Coronado,et al.  NCI Thesaurus: A semantic model integrating cancer-related clinical and molecular information , 2007, J. Biomed. Informatics.

[8]  C. Ko,et al.  The National Cancer Data Base: A Powerful Initiative to Improve Cancer Care in the United States , 2008, Annals of Surgical Oncology.

[9]  K. Buetow,et al.  Cancer Informatics Vision: caBIG™ , 2006, Cancer informatics.

[10]  Michael F Ochs,et al.  Information Systems for Cancer Research , 2008, Cancer investigation.

[11]  M. Zünkeler,et al.  Regionale Verbünde in der Onkologie , 2009, Der Onkologe.

[12]  P. Maccallum,et al.  A metadata approach for clinical data management in translational genomics studies in breast cancer , 2009, BMC Medical Genomics.

[13]  K. Beckmann,et al.  Dokumentation in der gynäkologischen Onkologie , 2010, Der Gynäkologe.

[14]  Lewis J. Frey,et al.  Metadata mapping and reuse in caBIG™ , 2009, BMC Bioinformatics.

[15]  D. Jäger,et al.  Multidisziplinarität im Cancer Center , 2010 .

[16]  P. Kirchhof,et al.  Routine data from hospital information systems can support patient recruitment for clinical studies , 2010, Clinical trials.

[17]  Enhancing patient safety and quality of surgical cancer care: the French National Cancer Plans. , 2010, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.

[18]  Hans-Ulrich Prokosch,et al.  Populating the i2b2 Database with Heterogeneous Emr Data: a Semantic Network Approach , 2011, MIE.

[19]  A. Chahal Informatics in Clinical Research in Oncology: Current State, Challenges, and a Future Perspective , 2011, Cancer journal.

[20]  T Ganslandt,et al.  Unlocking Data for Clinical Research – The German i2b2 Experience , 2011, Applied Clinical Informatics.

[21]  M. Bani,et al.  Quality Assured Health Care in Certified Breast Centers and Improvement of the Prognosis of Breast Cancer Patients , 2011, Oncology Research and Treatment.

[22]  Heather N. Watson,et al.  Use of electronic medical records (EMR) for oncology outcomes research: assessing the comparability of EMR information to patient registry and health claims data , 2011, Clinical epidemiology.

[23]  M. Beckmann,et al.  An EMR based cancer diary - utilisation and initial usability evaluation of a new cancer data visualization tool. , 2012, Studies in health technology and informatics.