Literature DB >> 28028763

Building a Personalized Cancer Treatment System.

Alexandra Martinez1, Gustavo López2, Constantino Bola Nos2, Daniel Alvarado2, Andrés Solano2, Mariana López2, Andrés Báez3, Steve Quirós4, Rodrigo Mora4.   

Abstract

This paper reports the process by which a personalized cancer treatment system was built, following a user-centered approach. We give some background on personalized cancer treatment, the particular tumor chemosensitivity assay supported by the system, as well as some quality and legal issues related to such health systems. We describe how Contextual Design was applied when building the system. Contextual design is a user-centered design technique involving seven steps. We also provide some details about the system implementation. Finally, we explain how the Think-Aloud protocol and Heuristic Evaluation methods were used to evaluate the system and report its results. A qualitative assessment from the users perspective is also provided. Results from the heuristic evaluation indicate that only one of ten heuristics was missing from the system, while five were partially covered and four were fully covered.

Entities:  

Keywords:  ATP assay; Contextual design; Heuristic evaluation; Personalized cancer treatment; Think-aloud

Mesh:

Substances:

Year:  2016        PMID: 28028763     DOI: 10.1007/s10916-016-0678-z

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  18 in total

Review 1.  Cancer as a robust system: implications for anticancer therapy.

Authors:  Hiroaki Kitano
Journal:  Nat Rev Cancer       Date:  2004-03       Impact factor: 60.716

2.  A comparison of usability evaluation methods: heuristic evaluation versus end-user think-aloud protocol - an example from a web-based communication tool for nurse scheduling.

Authors:  Po-Yin Yen; Suzanne Bakken
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

3.  Retraction: Genomic signatures to guide the use of chemotherapeutics.

Authors:  Anil Potti; Holly K Dressman; Andrea Bild; Richard F Riedel; Gina Chan; Robyn Sayer; Janiel Cragun; Hope Cottrill; Michael J Kelley; Rebecca Petersen; David Harpole; Jeffrey Marks; Andrew Berchuck; Geoffrey S Ginsburg; Phillip Febbo; Johnathan Lancaster; Joseph R Nevins
Journal:  Nat Med       Date:  2011-01       Impact factor: 53.440

4.  Simulation and Visualization of Liver Cancer Ablation Focus in Optical Surgical Navigation.

Authors:  Ken Cai; Rongqian Yang; Huazhou Chen; Hai Ning; Amin Ma; Jing Zhou; Wenhua Huang; Shanxing Ou
Journal:  J Med Syst       Date:  2015-11-02       Impact factor: 4.460

5.  A comparison of usability methods for testing interactive health technologies: methodological aspects and empirical evidence.

Authors:  Monique W M Jaspers
Journal:  Int J Med Inform       Date:  2008-11-29       Impact factor: 4.046

6.  A new method based for diagnosis of breast cancer cells from microscopic images: DWEE--JHT.

Authors:  S Aytac Korkmaz; M Poyraz
Journal:  J Med Syst       Date:  2014-07-15       Impact factor: 4.460

Review 7.  Supplemental Screening for Breast Cancer in Women With Dense Breasts: A Systematic Review for the U.S. Preventive Services Task Force.

Authors:  Joy Melnikow; Joshua J Fenton; Evelyn P Whitlock; Diana L Miglioretti; Meghan S Weyrich; Jamie H Thompson; Kunal Shah
Journal:  Ann Intern Med       Date:  2016-01-12       Impact factor: 25.391

Review 8.  Chemosensitivity testing using microplate adenosine triphosphate-based luminescence measurements.

Authors:  Christian M Kurbacher; Ian A Cree
Journal:  Methods Mol Med       Date:  2005

9.  A Decision Tree Based Classifier to Analyze Human Ovarian Cancer cDNA Microarray Datasets.

Authors:  Meng-Hsiun Tsai; Hsin-Chieh Wang; Guan-Wei Lee; Yi-Chen Lin; Sheng-Hsiung Chiu
Journal:  J Med Syst       Date:  2015-11-03       Impact factor: 4.460

Review 10.  Using technology to deliver cancer follow-up: a systematic review.

Authors:  Rebekah Dickinson; Susan Hall; Jenny E Sinclair; Christine Bond; Peter Murchie
Journal:  BMC Cancer       Date:  2014-05-03       Impact factor: 4.430

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