Building a rapid learning health care system for oncology: Why cancerlinq collects identifiable health information to achieve its vision

Alaap Shah, Andrew K. Stewart, Andrej Kolacevski, Dina Michels, Robert Miller

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)756-763
Number of pages8
JournalJournal of Clinical Oncology
Volume34
Issue number7
DOIs
StatePublished - Mar 1 2016
Externally publishedYes

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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