Literature DB >> 26755519

Building a Rapid Learning Health Care System for Oncology: Why CancerLinQ Collects Identifiable Health Information to Achieve Its Vision.

Alaap Shah1, Andrew K Stewart2, Andrej Kolacevski2, Dina Michels2, Robert Miller2.   

Abstract

The ever-increasing volume of scientific discoveries, clinical knowledge, novel diagnostic tools, and treatment options juxtaposed with rising costs in health care challenge physicians to identify, prioritize, and use new information rapidly to deliver efficient and high-quality care to a growing and aging patient population. CancerLinQ, a rapid learning health care system in oncology, is an initiative of the American Society of Clinical Oncology and its Institute for Quality that addresses these challenges by collecting information from the electronic health records of large numbers of patients with cancer. CancerLinQ is first and foremost a quality measurement and reporting system through which oncologists can harness the depth and power of their patients' clinical records and other data to assess, monitor, and improve the care they deliver. However, in light of privacy and security concerns with regard to collection, use, and disclosure of patient information, this article addresses the need to collect protected health information as defined under the Health Insurance Portability and Accountability Act of 1996 to drive rapid learning through CancerLinQ.
© 2016 by American Society of Clinical Oncology.

Entities:  

Mesh:

Year:  2016        PMID: 26755519     DOI: 10.1200/JCO.2015.65.0598

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  19 in total

1.  Artificial Intelligence and Personalized Medicine.

Authors:  Nicholas J Schork
Journal:  Cancer Treat Res       Date:  2019

2.  Effect of Public Deliberation on Patient Attitudes Regarding Consent and Data Use in a Learning Health Care System for Oncology.

Authors:  Reshma Jagsi; Kent A Griffith; Rochelle D Jones; Chris Krenz; Michele Gornick; Rebecca Spence; Raymond De Vries; Sarah T Hawley; Robin Zon; Sage Bolte; Navid Sadeghi; Richard L Schilsky; Angela R Bradbury
Journal:  J Clin Oncol       Date:  2019-10-02       Impact factor: 44.544

Review 3.  Quality of Life Measurements: Any Value for Clinical Practice?

Authors:  Matthias Büttner; Veit Zebralla; Andreas Dietz; Susanne Singer
Journal:  Curr Treat Options Oncol       Date:  2017-05

Review 4.  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

Review 5.  Management of Cancer in the Older Age Person: An Approach to Complex Medical Decisions.

Authors:  María Vallet-Regí; Miguel Manzano; Leocadio Rodriguez-Mañas; Marta Checa López; Matti Aapro; Lodovico Balducci
Journal:  Oncologist       Date:  2017-02-20

6.  Implementation and Clinical Utility of an Integrated Academic-Community Regional Molecular Tumor Board.

Authors:  Mark E Burkard; Dustin A Deming; Benjamin M Parsons; Paraic A Kenny; Marissa R Schuh; Ticiana Leal; Nataliya Uboha; Joshua M Lang; Michael A Thompson; Ruth Warren; Jordan Bauman; Mary S Mably; Jennifer Laffin; Catherine R Paschal; Angela M Lager; Kristy Lee; Kristina A Matkowskyj; Darya G Buehler; William M Rehrauer; Jill Kolesar
Journal:  JCO Precis Oncol       Date:  2017-07-05

Review 7.  Beyond maximum grade: modernising the assessment and reporting of adverse events in haematological malignancies.

Authors:  Gita Thanarajasingam; Lori M Minasian; Frederic Baron; Franco Cavalli; R Angelo De Claro; Amylou C Dueck; Tarec C El-Galaly; Neil Everest; Jan Geissler; Christian Gisselbrecht; John Gribben; Mary Horowitz; S Percy Ivy; Caron A Jacobson; Armand Keating; Paul G Kluetz; Aviva Krauss; Yok Lam Kwong; Richard F Little; Francois-Xavier Mahon; Matthew J Matasar; María-Victoria Mateos; Kristen McCullough; Robert S Miller; Mohamad Mohty; Philippe Moreau; Lindsay M Morton; Sumimasa Nagai; Simon Rule; Jeff Sloan; Pieter Sonneveld; Carrie A Thompson; Kyriaki Tzogani; Flora E van Leeuwen; Galina Velikova; Diego Villa; John R Wingard; Sophie Wintrich; John F Seymour; Thomas M Habermann
Journal:  Lancet Haematol       Date:  2018-06-18       Impact factor: 18.959

Review 8.  Strategies for Testing Intervention Matching Schemes in Cancer.

Authors:  Nicholas J Schork; Laura H Goetz; James Lowey; Jeffrey Trent
Journal:  Clin Pharmacol Ther       Date:  2020-07-24       Impact factor: 6.875

Review 9.  Integrating next-generation sequencing into clinical oncology: strategies, promises and pitfalls.

Authors:  Peter Horak; Stefan Fröhling; Hanno Glimm
Journal:  ESMO Open       Date:  2016-11-18

10.  Learning from big data: are we undertreating older women with high-risk breast cancer?

Authors:  Joseph A Sparano; Hyman Muss
Journal:  NPJ Breast Cancer       Date:  2016-06-08
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