GET THE APP

A Short Note on Consumer Health Informatics
..

Journal of Health & Medical Informatics

ISSN: 2157-7420

Open Access

Editorial - (2022) Volume 13, Issue 5

A Short Note on Consumer Health Informatics

Afreen Sultana*
*Correspondence: Afreen Sultana, Department of Medicine, Sapienza University of Rome, Rome, Italy, Tel: +9232716844, Email:
Department of Medicine, Sapienza University of Rome, Rome, Italy

Received: 05-May-2022, Manuscript No. jhmi-22-66621; Editor assigned: 07-May-2022, Pre QC No. P-66621; Reviewed: 10-May-2022, QC No. Q-66621; Revised: 15-May-2022, Manuscript No. R-66621; Published: 20-May-2022 , DOI: 10.37421/2157-7420.2022.13.419
Citation: Sultana, Afreen. “A Short Note on Consumer Health Informatics.” J Health Med Informat 13 (2022): 419.
Copyright: © 2022 Sultana A. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Editorial

Medical informatics has expanded rapidly over the once couple of years. After decades of development of information systems designed primarily for corkers and other healthcare directors and professionals, there's an adding interest in reaching consumers and patients directly through computers and telecommunications systems. Consumer health informatics is the branch of medical informatics that analyses consumers' requirements for information; studies and implements styles of making information accessible to consumers; and models and integrates consumers' preferences into medical information systems. Consumer informatics stands at the crossroads of other disciplines, similar as nursing informatics, public health, health creation, health education, library science, and communication science, and is maybe the most gruelling and fleetly expanding field in medical informatics; it's paving the way for health care in the information age [1].

Consumer health informatics examines patient information from points of view similar as health knowledge, consumer knowledge, and education. The thing is to empower patients while giving them the knowledge they need to make their own health opinions. Consumer health informatics couples the consumers’ needs for information with their healthcare preferences to produce a tailor- made medical experience [2].

The National Centre for Biotechnology defines consumer health informatics (HI) as:

•Any tool or system primarily responsible for interacting with health information users or health information consumers

• Any tool into which a patient inputs their health information and receives a body of health information

• A tool or system where information or other benefits may be used with the assistance of a healthcare professional but does not necessarily depend on a healthcare professional.

Consumer health informatics is a branch of health informatics which analyses user’s conditions; develops, tests and tools strategies to deliver the best possible health information; and builds stoner preferences into health information systems. Since the 1970s, the demand for information linked to health or to the terrain has been constantly growing. Internet use simply exploded in the 1990s, and continues to increase indeed moment. For illustration, in 2005, 78.6 of Americans were connected, and 62.8 of the population of Europe. In this age of hyper- connectivity, and with the flow of unverified health information, the demand for consolidated information is constant [3].

Consumer health informatics standards, in confluence with health IT operations, are changing healthcare. Numerous health’s’ IT operations serve a specific purpose or function while some work in tandem. Regardless of their individual purposes, these apps are creating an encompassing case healthcare system, giving druggies more control of their own paths to achieving and maintaining healthy cultures.

Consumer health informatics operations

Cases are taking further responsibility for managing their health information. They organize their medical histories, lab findings and specifics, so they need health IT operations specializing in organizing this information [4]. Apps are built with cases in mind, showcasing features allowing druggies to partake and sort information, giving them more control of their care.

Some orders of HI apps include:

• Apps facilitating knowledge and understanding of complaint operation

• Apps facilitating the knowledge of compliances of diurnal living
(ODL’s)

• Apps facilitating and promoting life operation backing

• Apps facilitating patient health, preventative care and tone- care/ assisted care.

Health IT operations are being created for the Web, different messaging systems, and for mobile platforms, making them as accessible as possible for the patients who use them. CHI apps use reminders and prompt to provide upto- date information on druggies’ health, reviewable by both cases and health providers [5]. The apps also utilize support groups on the web so cases can communicate with each other about different medical subjects.

Conflict of Interest

None.

References

  1. Murdoch, Travis B., and Allan S. Detsky. “The inevitable application of big data to health care.” J Am Med Assoc 309 (2013): 1351â??1352.
  2. Google Scholar, Crossref, Indexed at

  3. Merelli, Ivan, Horacio Pérez-Sánchez, Sandra Gesing, and Daniele D. Agostino. “Managing, Analysing, and Integrating Big Data in Medical Bioinformatics: Open Problems and Future Perspectives.” BioMed Res Int 2014 (2014): 134023.
  4. Google Scholar, Crossref

  5. Raghupathi, Wullianallur, and Viju Raghupathi. “Big data analytics in healthcare: Promise and potential.” Health Inf Sci Syst 2 (2014): 3.
  6. Google Scholar, Crossref, Indexed at

  7. Carinci, F., K. Van Gool, J. Mainz, and J. Veillard, et al. “Towards actionable international comparisons of health system performance: Expert revision of the OECD framework and quality indicators.” Int J Qual Health Care 27 (2015): 137â??146.
  8. Google Scholar, Crossref, Indexed at

  9. Owens, Douglas K., Kathleen N. Lohr, David Atkins, and Jonathan R. Treadwell, et al. “AHRQ Series Paper 5: Grading the strength of a body of evidence when comparing medical interventions-Agency for Healthcare Research and Quality and the Effective Health-Care Program.” J Clin Epidemiol 63 (2010): 513â??523.
  10. Google Scholar, Crossref, Indexed at

Google Scholar citation report
Citations: 2128

Journal of Health & Medical Informatics received 2128 citations as per Google Scholar report

Journal of Health & Medical Informatics peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward