[Automatic calculation and visualization of comorbidity scores for decision-making in tumor boards]. / Automatisierte Berechnung und Visualisierung von Komorbiditätsindizes für den Tumorboard-Entscheid.

OBJECTIVE: Comorbidity reduces treatment options for patients with head and neck cancer (HNC). Utilization of ICD-10 codes instead of manual research may facilitate estimation of comorbidity relevant for decision-making in the interdisciplinary tumor board (TB). Providing this information immediately in an intuitively ascertainable way whenever registering a patient for the TB would trigger awareness for comorbidities and shows potentially missing information. MATERIAL AND METHODS: Administrative data was extracted of four databases at our clinic (hospital information system (HIS*-MED), the clinic's tumor database, OncoFlow® and OncoFunction®). After data extraction and record linkage facilitated by python libraries Pandas and Record linkage, ICD-10 codes were rated applying the Charlson Score and prepared for visualization within OncoFlow®. Coding quality was tested assessing the imported and manually researched diabetes status of a 1:1 matched cohort of 240 patients. RESULTS: 29 073 ICD-10 codes of 2087 HNC patients were extracted. Matched data are immediately made available whenever registering a patient for the TB and are visualized in a pictogram within OncoFlow® providing information about comorbidities and missing diagnostics. The precision of diagnostic coding at our clinic was 95.0 %. CONCLUSIONS: The high prevalence of comorbidities in HNC patients with impact on their eligibility for particular treatment indicates the usefulness of our algorithm for providing automatic comorbidity assessment from administrative data for clinical routine and requires high quality of coding diagnoses.

Obtaining Patient-Reported Outcomes Electronically With "OncoFunction" in Head and Neck Cancer Patients During Aftercare.

The disease and treatment of patients with head and neck cancer can lead to multiple late and long-term sequelae. Especially pain, psychosocial problems, and voice issues can have a high impact on patients' health-related quality of life. The aim was to show the feasibility of implementing an electronic Patient-Reported Outcome Measure (PROM) in patients with head and neck cancer (HNC). Driven by our department's intention to assess Patient-Reported Outcomes (PRO) based on the International Classification of Functioning during tumor aftercare, the program "OncoFunction" has been implemented and continuously refined in everyday practice. The new version of "OncoFunction" was evaluated by 20 head and neck surgeons and radiation oncologists in an interview. From 7/2013 until 7/2017, 846 patients completed the PROM during 2,833 of 3,610 total visits (78.5%). The latest software version implemented newly developed add-ins and increased the already high approval ratings in the evaluation as the number of errors and the time required decreased (6 vs. 0 errors, 1.35 vs. 0.95 min; p<0.01). Notably, patients had different requests using PRO in homecare use. An additional examination shows that only 59% of HNC patients use the world wide web. Using OncoFunction for online-recording and interpretation of PROM improved data acquisition in daily HNC patients' follow-up. An accessory timeline grants access to former consultations and their visualization supported and simplified structured examinations. This provides an easy-to-use representation of the patient's functional outcome supporting comprehensive aftercare, considering all aspects of the patient's life.