Informatics for Consumer Health

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Informatics for Consumer Health (ICH) is a government initiative coordinated by the National Cancer Institute (NCI) within the National Institutes of Health (NIH). ICH focuses on a coordination of health information, technology, and health care delivery that empowers providers to manage care and increases the ability of consumers to gain mastery over their own health. [1] The ICH online initiative involved stakeholders from various sectors—commercial IT, government, health care, education, research, and advocacy—exchanging ideas and resources to bridge information technology and health care with the goal of improving behavioral support for all consumers. The Informatics for Consumer Health field is related to health informatics, medical informatics, consumer health informatics, eHealth, and health information technology. [2]

Contents

Background

Changing health behaviors is key to improving health outcomes. Research indicates that changes in basic preventive behavior - smoking cessation, better diet and exercise, and routine screenings—can lead to potential reductions in disability and death due to cancer, heart disease, and diabetes. [3] [4] [5] Effective consumer health information technology (health IT) applications hold great promise for encouraging and supporting behavior change. [6] [7] [8] [9] [10] [11] [12]

With the behavioral and population health evidence-base as a backdrop, the "Informatics for Consumer Health" came out of to two events that occurred in 2009. The first event occurred in early 2009, when the U.S.-based National Research Council released a report titled "Computational Technology for Effective Healthcare: Immediate Steps and Future Directions". [13] This report concluded that many of the current deployments of health information technology had become disconnected from their primary objectives: to ensure the health of real consumers in real world settings. The research portfolio in health systems should be rebalanced, authors of the report argued, to emphasize cognitive support for providers, patients, and their families over technology development for its own sake.

The second event occurred in March 2009, when the U.S. Congress passed the American Recovery and Reinvestment Act (ARRA) of 2009. Title XIII of the Act, also referred to as the Health Information Technology for Economic and Clinical Health (HITECH) Act, gave authority to the Department of Health and Human Services to offer incentives. [14] [15] "Meaningful use", rather than "use" measured in technological terms, was to be gauged in terms of outcomes for patients and their families.

In this context, a number of Federal agencies came together to convene the "Informatics for Consumer Health: Summit on Communication, Collaboration, and Quality," [16] in November 2009. The summit brought together nearly 200 leaders from commercial IT, government, health care, education, research, and advocacy organizations to open a dialogue and begin creating a blueprint for improving health care quality through enhanced behavioral support for consumers across the healthcare spectrum. Key Summit objectives to foster collaborations and spur innovation led to the publication of a special supplement on cyberinfrastructure for consumer health in the American Journal of Preventive Medicine [17] and the development of the online Informatics for Consumer Health (ICH) platform in 2010.

For three years the platform, informaticsforconsumehealth.org, served as a rallying place for summit stakeholders representing a wide range of sectors to exchange resources that bridge information technology and health care, and improve behavioral support for all consumers. By sharing news, resources, and funding opportunities the ICH community helped disseminate information for facilitating collaboration among the public, private, and research communities to improve consumer health.

Goals of the ICH platform included:

  1. Serving as a clearinghouse of knowledge for use in the development of high-quality evidence based consumer and clinical health IT products.
  2. Creating an interactive portal where stakeholders could communicate and stay up to date on health IT research innovations and opportunities for collaboration and partnership.
  3. Learning from key stakeholders about available resources, projects, opportunities, and partnerships in consumer and clinical health IT to disseminate on the ICH platform.
  4. Providing a platform for conversation and collaboration around informatics for consumer health.

In 2013, the ICH platform was retired and all original content is now archived on the National Cancer Institute's Health Communication and Informatics Research Branch (HCIRB) website. As the science and practice of behavioral and public health informatics evolve, the activities and initiatives frequently aggregated and posted on the ICH platform continue to be a priority for the public and private sector.

Partners

The Informatics for Consumer Health initiative is led by a collaboration of Federal agencies with active intramural and extramural programs focused on aspects of consumer health IT.

Related Research Articles

<span class="mw-page-title-main">Health informatics</span> Applications of information processing concepts and machinery in medicine

Health informatics is the field of science and engineering that aims at developing methods and technologies for the acquisition, processing, and study of patient data, which can come from different sources and modalities, such as electronic health records, diagnostic test results, medical scans. The health domain provides an extremely wide variety of problems that can be tackled using computational techniques.

<span class="mw-page-title-main">Preventive healthcare</span> Prevent and minimize the occurrence of diseases

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<span class="mw-page-title-main">Electronic health record</span> Digital collection of patient and population electronically stored health information

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In economics, supplier induced demand (SID) may occur when asymmetry of information exists between supplier and consumer. The supplier can use superior information to encourage an individual to demand a greater quantity of the good or service they supply than the Pareto efficient level, should asymmetric information not exist. The result of this is a welfare loss.

Connected health is a socio-technical model for healthcare management and delivery by using technology to provide healthcare services remotely. Connected health, also known as technology enabled care (TEC) aims to maximize healthcare resources and provide increased, flexible opportunities for consumers to engage with clinicians and better self-manage their care. It uses readily available consumer technologies to deliver patient care outside of the hospital or doctor's office. Connected health encompasses programs in telehealth, remote care and disease and lifestyle management, often leverages existing technologies such as connected devices using cellular networks and is associated with efforts to improve chronic care. However, there is an increasing blur between software capabilities and healthcare needs whereby technologists are now providing the solutions to support consumer wellness and provide the connectivity between patient data, information and decisions. This calls for new techniques to guide Connected Health solutions such as "design thinking" to support software developers in clearly identifying healthcare requirements, and extend and enrich traditional software requirements gathering techniques.

Health communication is the study and practice of communicating promotional health information, such as in public health campaigns, health education, and between doctor and patient. The purpose of disseminating health information is to influence personal health choices by improving health literacy. Health communication is a unique niche in healthcare that allows professionals to use communication strategies to inform and influence decisions and actions of the public to improve health.

Comparative effectiveness research (CER) is the direct comparison of existing health care interventions to determine which work best for which patients and which pose the greatest benefits and harms. The core question of comparative effectiveness research is which treatment works best, for whom, and under what circumstances. Engaging various stakeholders in this process, while difficult, makes research more applicable through providing information that improves patient decision making.

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<span class="mw-page-title-main">Health information on the Internet</span>

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<span class="mw-page-title-main">Dipak Kalra</span>

Dipak Kalra is President of the European Institute for Health Records and of the European Institute for Innovation through Health Data. He undertakes international research and standards development, and advises on adoption strategies, relating to Electronic Health Records.

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References

  1. Hesse, B. W. (2010, June 7). "‘What’s in a Name?” Informatics for Consumer Health"
  2. Website was at http://informaticsforconsumerhealth.org, but it is no longer active.
  3. The National Academic Press (2003). "Fulfilling the Potential for Cancer Prevention and Early Detection"
  4. Hesse BW, Hanna C, Massett HA, Hesse NK. (2010). Outside the box: will information technology be a viable intervention to improve the quality of cancer care? Journal of the National Cancer Institute Monographs. (40):81–9.
  5. Office of Disease Prevention and Health Promotion (2006). Chapter 1. "Expanding the Reach and Impact of Consumer e-Health Tools".
  6. Buntin M. B., Burke M. F., Hoaglin M. C., Blumenthal D. (2011). The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Affairs 30(3):464-71
  7. Ahern, D. K., Woods, S. S., Lightowler, M. C., Finley, S. W., Houston, T. K. (2011). Promise of and potential for patient-facing technologies to enable meaningful use. American Journal of Preventive Medicine 40(5 Suppl 2):S162-72.
  8. Gibbons, M. C., Wilson, et al. (2011). Consumer health informatics: results of a systematic evidence review and evidence based recommendations. Translational Behavioral Medicine, 1(1), 175-181.
  9. Stead, W.W. and S.H. Lin (Eds).(2009). Computational Technology for Effective Health Care: Immediate Steps and Strategic Directions. Washington, D.C.: National Academies Press.
  10. Shaikh, A. R., Prabhu Das, I., Vinson, C. A., Spring, B. (In Press). Cyberinfrastructure for consumer health. American Journal of Preventive Medicine 2011;40(5S2).
  11. President’s Council of Advisors on Science and Technology. (2010). Realizing the Full Potential of Health Information Technology to Improve Healthcare for Americans: The Path Forward. Washington, D.C.: Executive Office of the President.
  12. Institute of Medicine. (2007). The Learning Health Care System . Washington, D.C.: National Academies Press.
  13. National Research Council. (2003). Innovation in information technology. Washington, D.C.: National Academies Press.
  14. "Nationwide Health Information Exchange Architecture Overview 2010" Archived 2011-07-25 at the Wayback Machine .
  15. Hesse, B. W., Ahern, D. K., & Woods, S. S. (2011). Nudging best practice: the HITECH act and behavioral medicine. Translational Behavioral Medicine, 1(1), 175-181.
  16. "Informatics for Consumer Health Summit Overview".
  17. "American Journal of Preventive Medicine, May 2011, Volume 40, Issue 5 - Cyberinfrastructure for Consumer Health, Pages A1-A4, S91-S250". www.ajpmonline.org. Retrieved 2018-06-09.