The role of technology and engineering models in transforming healthcare

Misha Pavel, Holly Brugge Jimison, Howard D. Wactlar, Tamara L. Hayes, Will Barkis, Julia Skapik, Jeffrey Kaye

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

The healthcare system is in crisis due to challenges including escalating costs, the inconsistent provision of care, an aging population, and high burden of chronic disease related to health behaviors. Mitigating this crisis will require a major transformation of healthcare to be proactive, preventive, patient-centered, and evidence-based with a focus on improving quality-of-life. Information technology, networking, and biomedical engineering are likely to be essential in making this transformation possible with the help of advances, such as sensor technology, mobile computing, machine learning, etc. This paper has three themes: 1) motivation for a transformation of healthcare; 2) description of how information technology and engineering can support this transformation with the help of computational models; and 3) a technical overview of several research areas that illustrate the need for mathematical modeling approaches, ranging from sparse sampling to behavioral phenotyping and early detection. A key tenet of this paper concerns complementing prior work on patient-specific modeling and simulation by modeling neuropsychological, behavioral, and social phenomena. The resulting models, in combination with frequent or continuous measurements, are likely to be key components of health interventions to enhance health and wellbeing and the provision of healthcare.

Original languageEnglish (US)
Article number6490450
Pages (from-to)156-177
Number of pages22
JournalIEEE Reviews in Biomedical Engineering
Volume6
DOIs
StatePublished - 2013

Fingerprint

Health
Information technology
Biomedical engineering
Mobile computing
Learning systems
Aging of materials
Sampling
Sensors
Costs

Keywords

  • Computational modeling
  • medical information systems
  • medical robotics
  • pervasive computing
  • remote monitoring
  • smart home

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Pavel, M., Jimison, H. B., Wactlar, H. D., Hayes, T. L., Barkis, W., Skapik, J., & Kaye, J. (2013). The role of technology and engineering models in transforming healthcare. IEEE Reviews in Biomedical Engineering, 6, 156-177. [6490450]. https://doi.org/10.1109/RBME.2012.2222636

The role of technology and engineering models in transforming healthcare. / Pavel, Misha; Jimison, Holly Brugge; Wactlar, Howard D.; Hayes, Tamara L.; Barkis, Will; Skapik, Julia; Kaye, Jeffrey.

In: IEEE Reviews in Biomedical Engineering, Vol. 6, 6490450, 2013, p. 156-177.

Research output: Contribution to journalArticle

Pavel, M, Jimison, HB, Wactlar, HD, Hayes, TL, Barkis, W, Skapik, J & Kaye, J 2013, 'The role of technology and engineering models in transforming healthcare', IEEE Reviews in Biomedical Engineering, vol. 6, 6490450, pp. 156-177. https://doi.org/10.1109/RBME.2012.2222636
Pavel, Misha ; Jimison, Holly Brugge ; Wactlar, Howard D. ; Hayes, Tamara L. ; Barkis, Will ; Skapik, Julia ; Kaye, Jeffrey. / The role of technology and engineering models in transforming healthcare. In: IEEE Reviews in Biomedical Engineering. 2013 ; Vol. 6. pp. 156-177.
@article{1d0b177ac55645639a553c93a0dddd57,
title = "The role of technology and engineering models in transforming healthcare",
abstract = "The healthcare system is in crisis due to challenges including escalating costs, the inconsistent provision of care, an aging population, and high burden of chronic disease related to health behaviors. Mitigating this crisis will require a major transformation of healthcare to be proactive, preventive, patient-centered, and evidence-based with a focus on improving quality-of-life. Information technology, networking, and biomedical engineering are likely to be essential in making this transformation possible with the help of advances, such as sensor technology, mobile computing, machine learning, etc. This paper has three themes: 1) motivation for a transformation of healthcare; 2) description of how information technology and engineering can support this transformation with the help of computational models; and 3) a technical overview of several research areas that illustrate the need for mathematical modeling approaches, ranging from sparse sampling to behavioral phenotyping and early detection. A key tenet of this paper concerns complementing prior work on patient-specific modeling and simulation by modeling neuropsychological, behavioral, and social phenomena. The resulting models, in combination with frequent or continuous measurements, are likely to be key components of health interventions to enhance health and wellbeing and the provision of healthcare.",
keywords = "Computational modeling, medical information systems, medical robotics, pervasive computing, remote monitoring, smart home",
author = "Misha Pavel and Jimison, {Holly Brugge} and Wactlar, {Howard D.} and Hayes, {Tamara L.} and Will Barkis and Julia Skapik and Jeffrey Kaye",
year = "2013",
doi = "10.1109/RBME.2012.2222636",
language = "English (US)",
volume = "6",
pages = "156--177",
journal = "IEEE Reviews in Biomedical Engineering",
issn = "1937-3333",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - The role of technology and engineering models in transforming healthcare

AU - Pavel, Misha

AU - Jimison, Holly Brugge

AU - Wactlar, Howard D.

AU - Hayes, Tamara L.

AU - Barkis, Will

AU - Skapik, Julia

AU - Kaye, Jeffrey

PY - 2013

Y1 - 2013

N2 - The healthcare system is in crisis due to challenges including escalating costs, the inconsistent provision of care, an aging population, and high burden of chronic disease related to health behaviors. Mitigating this crisis will require a major transformation of healthcare to be proactive, preventive, patient-centered, and evidence-based with a focus on improving quality-of-life. Information technology, networking, and biomedical engineering are likely to be essential in making this transformation possible with the help of advances, such as sensor technology, mobile computing, machine learning, etc. This paper has three themes: 1) motivation for a transformation of healthcare; 2) description of how information technology and engineering can support this transformation with the help of computational models; and 3) a technical overview of several research areas that illustrate the need for mathematical modeling approaches, ranging from sparse sampling to behavioral phenotyping and early detection. A key tenet of this paper concerns complementing prior work on patient-specific modeling and simulation by modeling neuropsychological, behavioral, and social phenomena. The resulting models, in combination with frequent or continuous measurements, are likely to be key components of health interventions to enhance health and wellbeing and the provision of healthcare.

AB - The healthcare system is in crisis due to challenges including escalating costs, the inconsistent provision of care, an aging population, and high burden of chronic disease related to health behaviors. Mitigating this crisis will require a major transformation of healthcare to be proactive, preventive, patient-centered, and evidence-based with a focus on improving quality-of-life. Information technology, networking, and biomedical engineering are likely to be essential in making this transformation possible with the help of advances, such as sensor technology, mobile computing, machine learning, etc. This paper has three themes: 1) motivation for a transformation of healthcare; 2) description of how information technology and engineering can support this transformation with the help of computational models; and 3) a technical overview of several research areas that illustrate the need for mathematical modeling approaches, ranging from sparse sampling to behavioral phenotyping and early detection. A key tenet of this paper concerns complementing prior work on patient-specific modeling and simulation by modeling neuropsychological, behavioral, and social phenomena. The resulting models, in combination with frequent or continuous measurements, are likely to be key components of health interventions to enhance health and wellbeing and the provision of healthcare.

KW - Computational modeling

KW - medical information systems

KW - medical robotics

KW - pervasive computing

KW - remote monitoring

KW - smart home

UR - http://www.scopus.com/inward/record.url?scp=84875850675&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84875850675&partnerID=8YFLogxK

U2 - 10.1109/RBME.2012.2222636

DO - 10.1109/RBME.2012.2222636

M3 - Article

C2 - 23549108

AN - SCOPUS:84875850675

VL - 6

SP - 156

EP - 177

JO - IEEE Reviews in Biomedical Engineering

JF - IEEE Reviews in Biomedical Engineering

SN - 1937-3333

M1 - 6490450

ER -