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Informatics Needs and Challenges in Cancer Research: Workshop Summary (2012)

Chapter: 7 Transforming Cancer Informatics: From Silos to Systems

« Previous: 6 Proposal for a Coalition of All Stakeholders
Suggested Citation:"7 Transforming Cancer Informatics: From Silos to Systems." Institute of Medicine. 2012. Informatics Needs and Challenges in Cancer Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/13425.
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7

Transforming Cancer Informatics: From Silos to Systems

A recurring topic throughout the workshop was the need for change: changing the attitudes, behavior, and culture surrounding the sharing of data and embracing solutions, particularly disruptive solutions, that will drive those changes, according to Sharon Murphy of the IOM. The opportunity is obvious, she said, and society is losing the value of all the data that have been generated by companies, academics, NIH, and others as long as the data are just sitting there. Participants discussed the need to move from silos full of information to integrated systems that provide actionable knowledge to advance cancer care. Scientific and clinical discoveries can be realized much more rapidly with this type of systems infrastructure in place than without, said Lawrence Shulman of Dana-Farber, adding that every year that an important discovery is delayed, thousands of patients die.

Amy Abernethy, associate professor of medicine in the Division of Medical Oncology at the Duke University School of Medicine, summarized the four main themes of discussion throughout the workshop.

Suggested Citation:"7 Transforming Cancer Informatics: From Silos to Systems." Institute of Medicine. 2012. Informatics Needs and Challenges in Cancer Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/13425.
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Main Workshop Themes Identified by Amy Abernethy

  1. Embrace cancer informatics. Cancer informatics provides opportunities to do the following:

• improve the efficiency of the discovery engine;

• bridge the gap between discovery and health;

• reduce the risk of losing valuable data assets; and

• share lessons learned in cancer research so they can be leveraged in cancer care and other medical disciplines.

  2. Embrace solutions. Embrace complexity and find solutions to address the following issues:

• data availability, integration, and exchange;

• democratization of information;

• technical hurdles;

• interoperability;

• governance;

• value and appropriate use of experimental and observational data;

• validation and quality;

• workforce;

• analytics and methods development;

• visualization and representation of big datasets; and

• cyberinfrastructure.

  3. Establish an ecosystem of partners, including, but not limited to, the following:

• patients, consumers, advocates;

• cancer centers, physicians;

• biomedical research;

• clinical researchers, quantitative scientists, basic scientists, outcomes researchers; in industry, academia, and government;

• cancer clinical trials cooperative groups;

• information technology developers and providers;

• payers, administrators; and

• federal agencies.

  4. Generate trust. Earning the trust of patients, providers, researchers, and society in general is the core underlying issue for the following concerns:

• data privacy and security;

• accountability; and

• data ownership.

Suggested Citation:"7 Transforming Cancer Informatics: From Silos to Systems." Institute of Medicine. 2012. Informatics Needs and Challenges in Cancer Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/13425.
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A FRAMEWORK FOR ACTION

As a starting point for moving forward, a proposal for a coalition of all stakeholders was introduced during the workshop and participants were urged to provide feedback (see Chapter 6). Abernethy reiterated the main objectives of the proposed coalition as outlined by Marcia Kean of Feinstein Kean Healthcare:

• Catalyze and help nurture a community to develop and make available, pre-competitively, an open digital framework for biomedicine.

• Ensure that the open digital framework stays current with all technological advances.

• Ensure that all biomedical organizations have access to the open digital framework, so that they can achieve their goals for improved patient care and more productive research.

• Help to support a flourishing ecosystem of biomedical organizations that can fuel each other’s activities through frictionless flow of data.

• Serve as a test bed for the digital infrastructure.

Changing Minds, Changing Behaviors

As suggested by George Poste (Chapter 5), embracing the complexity of cancer informatics and taking action to drive change will require the courage to acknowledge both the challenges and the need for radical change; the resilience to continue forward in the face of entrenched constituencies; competitiveness and new participants (including consumers) who coordinate and collaborate to generate disruptive change; and accountability and responsibility.

The first step in taking action, Abernethy summarized, is to come together as partners and plan how to move cancer informatics forward (Figure 7-1). Public–private partnerships are essential, she said, as is investing in the data and the cyberinfrastructure. Strategies should leverage the models and successes of other disciplines and industries and should facilitate activities that will contribute to the development of the end-to-end infrastructure system (e.g., just-in-time standards, public databases, EHRs, analytic methods, large-scale standardized protocols and procedures, reuse of data and IT infrastructure, data dictionaries, metadata, validation, and security solutions). Tools should be built with the users and use cases in mind (a bottom-up strategy). Moving forward will also require training, education,

Suggested Citation:"7 Transforming Cancer Informatics: From Silos to Systems." Institute of Medicine. 2012. Informatics Needs and Challenges in Cancer Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/13425.
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img

FIGURE 7-1 Hypothetical framework highlighting key elements of an end-to-end cancer informatics system.
NOTE: CER = comparative effectiveness research, EHR = electronic health record, IT = information technology.
SOURCE: Abernethy presentation (February 28, 2012).

and career development to build a workforce that can interface seamlessly across biomedicine, computation, and informatics, she noted.

Apparent throughout the discussion of the gaps, challenges, and potential solutions for cancer informatics was the overarching theme that data should be used for the benefit of society. Data are accumulating fast. “We have the opportunity to harness these data or let them pass us by,” Abernethy concluded, and she encouraged participants to “be a part of the plan.”

Suggested Citation:"7 Transforming Cancer Informatics: From Silos to Systems." Institute of Medicine. 2012. Informatics Needs and Challenges in Cancer Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/13425.
×
Page 95
Suggested Citation:"7 Transforming Cancer Informatics: From Silos to Systems." Institute of Medicine. 2012. Informatics Needs and Challenges in Cancer Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/13425.
×
Page 96
Suggested Citation:"7 Transforming Cancer Informatics: From Silos to Systems." Institute of Medicine. 2012. Informatics Needs and Challenges in Cancer Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/13425.
×
Page 97
Suggested Citation:"7 Transforming Cancer Informatics: From Silos to Systems." Institute of Medicine. 2012. Informatics Needs and Challenges in Cancer Research: Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/13425.
×
Page 98
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As information technology becomes an integral part of health care, it is important to collect and analyze data in a way that makes the information understandable and useful. Informatics tools--which help collect, organize, and analyze data--are essential to biomedical and health research and development. The field of cancer research is facing an overwhelming deluge of data, heightening the national urgency to find solutions to support and sustain the cancer informatics ecosystem. There is a particular need to integrate research and clinical data to facilitate personalized medicine approaches to cancer prevention and treatment--for example, tailoring treatment based on an individual patient's genetic makeup as well as that of the tumor --and to allow for more rapid learning from patient experiences.

To further examine informatics needs and challenges for 21st century biomedical research, the IOM's National Cancer Policy Forum held a workshop February 27-28, 2012. The workshop was designed to raise awareness of the critical and urgent importance of the challenges, gaps and opportunities in informatics; to frame the issues surrounding the development of an integrated system of cancer informatics for acceleration of research; and to discuss solutions for transformation of the cancer informatics enterprise. Informatics Needs and Challenges in Cancer Research: Workshop Summary summarizes the workshop.

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