Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Advertisement

Springer Nature Link
Log in

Advanced Data Capture in the Assisted Medical Home: A Model for Distributed and Multimedia Technologies

  • Original Paper
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

Expanding the role of distributed health care, recent ONCHIT initiatives highlight the utilization of remote and home-based monitoring as a model for health care that is accessible, comprehensive and coordinated, delivered in the context of family and community. Extensible information technology in this context can be used to collect and store expanded data about patients and their environment, especially in assisted living and group home environments. Proposed here is a distributed model for meeting related ONC mandates, which include emerging patient data collection opportunities, especially within nursing homes, assisted living, and other group home arrangements. The conceptual applications employed in this technology set are provided by way of illustration, and may also serve as a transformative model for emerging EMR/EHR requirements.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Remote Monitoring Detailed Use Case March 21, 2008]

  2. Medical Home Detailed Use Case March 21, 2008

  3. WHO report, Essential Diagnostic Imaging. World Health Organization. http://www.who.int/eht/en/DiagnosticImaging.pdf.

  4. Rubinsky, B., and Otten, D., Method and apparatus for remote imaging of biological tissue by electrical impedance tomography through a communications network. United States Patent. 6 (725)087, 2004.

    Google Scholar 

  5. Rubinsky, B., and Otten, D., Method and apparatus for remote imaging of biological tissue by electrical impedance tomography through a communications network. United States Patent. 6 (725)087, 2004.

    Google Scholar 

  6. Rubinsky, B., and Otten, D., Method and apparatus for remote imaging of biological tissue by electrical impedance tomography through a communications network. United States Patent. 6 (725)087, 2004.

    Google Scholar 

  7. McEvoy, S., Ochotta, E., Rich.ardson, K. H., and Mah, R., Secure digital x-ray image authentication method. United States Patent. 6 (044)131, 2000.

    Google Scholar 

  8. DiRienzo, A., Remote access medical image exchange system and methods of operation therefore. United States Patent. 6 (006)191, 1999.

    Google Scholar 

  9. Wood, M., Roncalez, P., Pflugrath, L., and Souquet, J., Ultrasonic diagnostic imaging system with universal access to diagnostic information and images. United States Patent. 5 (851)186, 1998.

    Google Scholar 

  10. Granot, Y., Ivorra, A., and Rubinsky, B., A new concept for medical imaging centered on cellular phone technology. PLoS One. 3 (4)e2075, 2008. doi:10.1371/journal.pone.0002075.

    Article  Google Scholar 

  11. Ivorra, A., Daniels, C., and Rubinsky, B., Minimally obtrusive wearable device for continuous interactive cognitive and neurological assessment. Physiol. Meas. 29 (5)543–554, 2008. doi:10.1088/0967-3334/29/5/002.

    Article  Google Scholar 

  12. Granot, Y., and Rubinsky, B., Methods of optimization of electrical impedance tomography for imaging tissue electroporation. Physiol. Meas. 28 (10)1135–1147, 2007. doi:10.1088/0967-3334/28/10/001.

    Article  Google Scholar 

  13. Otten, D. M., Onik, G., and Rubinsky, B., Distributed network imaging and electrical impedance tomography of minimally invasive surgery. Technol. Cancer Res. Treat. 3 (2)125–134, 2004.

    Google Scholar 

  14. Otten, D. M., and Rubinsky, B., Front-tracking image reconstruction algorithm for EIT-monitored cryosurgery using the boundary element method. Physiol. Meas. 26 (4)503–516, 2005.

    Article  Google Scholar 

  15. Sarvazyan, A., Mechanical imaging: a new technology for medical diagnostics. Int. J. Med. Inform. 49 (2)195–216, 1998.

    Article  Google Scholar 

  16. Kondo, Y., Medical image transfer for emergency care utilizing internet and mobile phone. Nippon Hoshasen Gijutsu Gakkai Zasshi. 58 (10)1393–1401, 2002.

    Google Scholar 

  17. Rubinsky, B., and Otten, D., Method and apparatus for remote imaging of biological tissue by electrical impedance tomography through a communications network. United States Patent. 6 (725)087, 2004.

    Google Scholar 

Download references

Acknowledgments

This study was supported in part by the Robert Wood Johnson Foundation, through the Health e-Technologies Initiatives.

Author information

Authors and Affiliations

  1. Center for Technology Assessment, University Park, PA, 16802, USA

    Richard Churchill, Daniel Lorence & Michael Richards

Authors
  1. Richard Churchill
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Daniel Lorence
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Michael Richards
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Richard Churchill.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Churchill, R., Lorence, D. & Richards, M. Advanced Data Capture in the Assisted Medical Home: A Model for Distributed and Multimedia Technologies. J Med Syst 34, 685–693 (2010). https://doi.org/10.1007/s10916-009-9282-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10916-009-9282-9

Keywords

Search

Navigation