Model-based data integration in clinical environments
As a result of improved hospital information-technology infrastructure and declining costs of storage media, vast amounts of physiological waveform and trend data can now be continuously collected and archived from bedside monitors in operating rooms, intensive care units, or even regular hospital r...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2012
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| Online Access: | http://hdl.handle.net/1721.1/69024 https://orcid.org/0000-0002-5930-7694 https://orcid.org/0000-0002-2446-1499 |
| _version_ | 1811096863679447040 |
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| author | Heldt, Thomas Verghese, George C. |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Heldt, Thomas Verghese, George C. |
| author_sort | Heldt, Thomas |
| collection | MIT |
| description | As a result of improved hospital information-technology infrastructure and declining costs of storage media, vast amounts of physiological waveform and trend data can now be continuously collected and archived from bedside monitors in operating rooms, intensive care units, or even regular hospital rooms. The real-time or off-line processing of such volumes of high-resolution data, in attempts to turn raw data into clinically actionable information, poses significant challenges. However, it also presents researchers - and eventually clinicians - with unprecedented opportunities to move beyond the traditional individual-channel analysis of waveform data, and towards an integrative patient-monitoring framework, with likely improvements in patient care and safety. We outline some of the challenges and opportunities, and propose strategies for model-based integration of physiological data to improve patient monitoring. |
| first_indexed | 2024-09-23T16:50:13Z |
| format | Article |
| id | mit-1721.1/69024 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:50:13Z |
| publishDate | 2012 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/690242022-10-03T08:36:53Z Model-based data integration in clinical environments Heldt, Thomas Verghese, George C. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Research Laboratory of Electronics Harvard--MIT Program in Health Sciences and Technology. Laboratory for Computational Physiology Vergese, George C. Heldt, Thomas Verghese, George C. As a result of improved hospital information-technology infrastructure and declining costs of storage media, vast amounts of physiological waveform and trend data can now be continuously collected and archived from bedside monitors in operating rooms, intensive care units, or even regular hospital rooms. The real-time or off-line processing of such volumes of high-resolution data, in attempts to turn raw data into clinically actionable information, poses significant challenges. However, it also presents researchers - and eventually clinicians - with unprecedented opportunities to move beyond the traditional individual-channel analysis of waveform data, and towards an integrative patient-monitoring framework, with likely improvements in patient care and safety. We outline some of the challenges and opportunities, and propose strategies for model-based integration of physiological data to improve patient monitoring. National Institute of Biomedical Imaging and Bioengineering (U.S.) (grant R01 EB001659) 2012-02-03T18:50:02Z 2012-02-03T18:50:02Z 2010-08 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-4124-2 978-1-4244-4123-5 1557-170X INSPEC Accession Number: 11650248 http://hdl.handle.net/1721.1/69024 Heldt, T, and G C Verghese. “Model-based data integration in clinical environments.” IEEE, 2010. 5209-5212. Web. 3 Feb. 2012. © 2010 Institute of Electrical and Electronics Engineers 21095826 https://orcid.org/0000-0002-5930-7694 https://orcid.org/0000-0002-2446-1499 en_US http://dx.doi.org/10.1109/iembs.2010.5626101 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2010. EMBC 2010. Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers (IEEE) IEEE |
| spellingShingle | Heldt, Thomas Verghese, George C. Model-based data integration in clinical environments |
| title | Model-based data integration in clinical environments |
| title_full | Model-based data integration in clinical environments |
| title_fullStr | Model-based data integration in clinical environments |
| title_full_unstemmed | Model-based data integration in clinical environments |
| title_short | Model-based data integration in clinical environments |
| title_sort | model based data integration in clinical environments |
| url | http://hdl.handle.net/1721.1/69024 https://orcid.org/0000-0002-5930-7694 https://orcid.org/0000-0002-2446-1499 |
| work_keys_str_mv | AT heldtthomas modelbaseddataintegrationinclinicalenvironments AT verghesegeorgec modelbaseddataintegrationinclinicalenvironments |