Literature DB >> 31734663

Structured Data Acquisition in Oncology.

Maurice Henkel1, Bram Stieltjes2.   

Abstract

BACKGROUND: Demographic changes and improvement in therapy have shifted the focus of treatment towards chronic diseases and multiple health conditions. This has caused a tremendous increase in data per patient that needs to be integrated longitudinally and across departmental silos. The general increase in the volume of data per diagnostic examination and the number of diagnostic procedures per diagnostic pathway additionally accentuate this data integration challenge.
SUMMARY: Subspecialization in medicine has led to largely autonomously organized departments with in-dependent IT ecosystems. This patchwork of IT infrastructure is not prepared to meet the data integration challenge. The resulting lack of integrated information makes the treatment of chronically ill patients increasingly difficult and error prone. Key Message: A sustainable method for data ac-quisition is needed to aid multimodal treatment and improve efficiency in healthcare.
© 2019 S. Karger AG, Basel.

Entities:  

Keywords:  Data element; Data stream; Electronic health record; Structured reporting; Support decision-making

Year:  2019        PMID: 31734663     DOI: 10.1159/000504259

Source DB:  PubMed          Journal:  Oncology        ISSN: 0030-2414            Impact factor:   2.935


  3 in total

1.  Supporting Structured Data Capture for Patients With Cancer: An Initiative of the University of Wisconsin Carbone Cancer Center Survivorship Program to Improve Capture of Malignant Diagnosis and Cancer Staging Data.

Authors:  Hamid Emamekhoo; Cibele B Carroll; Chelsea Stietz; Jeffrey B Pier; Michael D Lavitschke; Daniel Mulkerin; Mary E Sesto; Amye J Tevaarwerk
Journal:  JCO Clin Cancer Inform       Date:  2022-06

2.  Initial experience with AI Pathway Companion: Evaluation of dashboard-enhanced clinical decision making in prostate cancer screening.

Authors:  Maurice Henkel; Tobias Horn; Francois Leboutte; Pawel Trotsenko; Sarah Gina Dugas; Sarah Ursula Sutter; Georg Ficht; Christian Engesser; Marc Matthias; Aurelien Stalder; Jan Ebbing; Philip Cornford; Helge Seifert; Bram Stieltjes; Christian Wetterauer
Journal:  PLoS One       Date:  2022-07-20       Impact factor: 3.752

Review 3.  Oncology Informatics: Status Quo and Outlook.

Authors:  Paul Martin Putora; Michael Baudis; Beth M Beadle; Issam El Naqa; Frank A Giordano; Nils H Nicolay
Journal:  Oncology       Date:  2020-05-14       Impact factor: 2.935

  3 in total

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