Literature DB >> 23714566

CancerLinQ and the future of cancer care.

George W Sledge1, Robert S Miller, Robert Hauser.   

Abstract

Patients, health care providers, and payers all have a similar interest in a health care system that is both efficient and intelligent. The attributes of such a system are widely recognized: we want a system that provides widespread access to consistently high-quality, science-based medical care; we want that system to be efficient, avoiding unnecessary waste, while delivering the right treatments to the right patients in a timely fashion; we want a system that allows us to both learn from our experience and generate new knowledge that will inform future treatment options; and we want a system that is compassionate and caring. What we want from a health care system often runs up against real-life obstacles and challenges: a fragmented delivery system, varying levels (or lack of) insurance, a growing burden of regulation and paperwork, and an increasingly complex understanding of tumor biology and the therapeutic approaches derived from this biology. New challenges are on the horizon-emerging genomic and imaging technology, with their enormous cognitive and data burdens, and a looming demographic challenge, where inadequate personnel resources face an aging population and an explosion of new treatments. Not all problems have technologic solutions, but many of the issues described above have potential solutions related to information technology. ASCO's CancerLinQ, described in this article, is an evolving attempt by the Society to improve the quality and efficiency of cancer care, while supporting education and research in the cancer field.

Entities:  

Mesh:

Year:  2013        PMID: 23714566     DOI: 10.14694/EdBook_AM.2013.33.430

Source DB:  PubMed          Journal:  Am Soc Clin Oncol Educ Book        ISSN: 1548-8748


  16 in total

1.  Potential and challenges of patient-generated health data for high-quality cancer care.

Authors:  Arlene E Chung; Ethan M Basch
Journal:  J Oncol Pract       Date:  2015-04-07       Impact factor: 3.840

2.  Opportunities for Patient Matching Algorithms to Improve Patient Care in Oncology.

Authors:  Travis Johnson; David Liebner; James L Chen
Journal:  JCO Clin Cancer Inform       Date:  2017-11

3.  'Coming of Age' of artificial intelligence: evolution of survivorship care through information technology.

Authors:  S Hashmi
Journal:  Bone Marrow Transplant       Date:  2015-11-09       Impact factor: 5.483

4.  Improving the quality of cancer care in America through health information technology.

Authors:  Thomas W Feeley; George W Sledge; Laura Levit; Patricia A Ganz
Journal:  J Am Med Inform Assoc       Date:  2013-12-18       Impact factor: 4.497

5.  Translating an evidence-based clinical pathway into shareable CDS: developing a systematic process using publicly available tools.

Authors:  Jeremy J Michel; Emilia J Flores; Lauren Dutcher; Nikhil K Mull; Amy Y Tsou
Journal:  J Am Med Inform Assoc       Date:  2021-01-15       Impact factor: 4.497

6.  Transformation of the National Breast Cancer Guideline Into Data-Driven Clinical Decision Trees.

Authors:  Mathijs P Hendriks; Xander A A M Verbeek; Thijs van Vegchel; Maurice J C van der Sangen; Luc J A Strobbe; Jos W S Merkus; Harmien M Zonderland; Carolien H Smorenburg; Agnes Jager; Sabine S Siesling
Journal:  JCO Clin Cancer Inform       Date:  2019-05

Review 7.  Exploring Big Data in Hematological Malignancies: Challenges and Opportunities.

Authors:  Gustavo F Westin; Ajoy L Dias; Ronald S Go
Journal:  Curr Hematol Malig Rep       Date:  2016-08       Impact factor: 3.952

8.  Communicating About Precision Oncology.

Authors:  Daniel C McFarland; Elizabeth Blackler; Smita Banerjee; Jimmie Holland
Journal:  JCO Precis Oncol       Date:  2017-08-07

9.  Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data.

Authors:  Samuel G Finlayson; Mia Levy; Sunil Reddy; Daniel L Rubin
Journal:  J Biomed Inform       Date:  2016-02-02       Impact factor: 6.317

10.  Delivering High-Quality Cancer Care: The Critical Role of Quality Measurement.

Authors:  Tracy Spinks; Patricia A Ganz; George W Sledge; Laura Levit; James A Hayman; Timothy J Eberlein; Thomas W Feeley
Journal:  Healthc (Amst)       Date:  2014-03-01
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