SHB: Type II (INT): Collaborative Research: Creating Learning Systems with Mobile Technology to Improve Coordination in Perioperative Services

Information

  • NSF Award
  • 1237080
Owner
  • Award Id
    1237080
  • Award Effective Date
    10/1/2012 - 13 years ago
  • Award Expiration Date
    9/30/2017 - 8 years ago
  • Award Amount
    $ 585,916.00
  • Award Instrument
    Standard Grant

SHB: Type II (INT): Collaborative Research: Creating Learning Systems with Mobile Technology to Improve Coordination in Perioperative Services

This project proposes to create a framework using a combination of mobile technology, learning systems, data analytics, education, and training to enhance cooperation and coordination of staff within and across perioperative services departments (POS). Perioperative services comprise surgery preparation, operating rooms, post-anesthesia care, sterile processing and a variety of other services, such as radiology and endoscopy. The specific objectives of this project are to: (1) enhance communication and coordination among POS staff to improve the quality of care by gathering and using important workflow milestones and introducing artificial intelligence techniques through the use of a smart-app, (2) analyze workflow data gathered with smart-apps using data analytics to provide intuitive displays of real-time information for frontline staff and a daily performance dashboard for managers, and (3) induce behavioral and cultural change in healthcare systems through training and education. While existing information technology capabilities such as natural language processing, artificial intelligence, and speech recognition technology are promising developments in computing, their uses in health care are limited and thus need to be thoroughly investigated before they can be used in health care effectively. To accomplish these objectives, the research team will work closely with the partnering healthcare organizations, Greenville Hospital System (GHS), Palmetto Health (Palmetto), and the Medical University of South Carolina (MUSC), in developing the tools and models which will be pilot-tested at these organizations by their staff. <br/><br/>The developed tools and models will be widely disseminated among health care providers in South Carolina. In addition, the smart-apps and agent-based simulation model will provide the team with a teaching and training tool that can be used in the classroom at Clemson University and the University of South Carolina (USC) to teach students across a variety of fields, such as business, engineering, science and healthcare students about information and workflow management techniques.

  • Program Officer
    Sylvia J. Spengler
  • Min Amd Letter Date
    9/6/2012 - 13 years ago
  • Max Amd Letter Date
    7/28/2014 - 11 years ago
  • ARRA Amount

Institutions

  • Name
    University South Carolina Research Foundation
  • City
    COLUMBIA
  • State
    SC
  • Country
    United States
  • Address
    1600 Hampton Street
  • Postal Code
    292080001
  • Phone Number
    8037777093

Investigators

  • First Name
    Jose
  • Last Name
    Vidal
  • Email Address
    vidal@sc.edu
  • Start Date
    9/6/2012 12:00:00 AM
  • First Name
    Nathan
  • Last Name
    Huynh
  • Email Address
    huynhn@cec.sc.edu
  • Start Date
    9/6/2012 12:00:00 AM

Program Element

  • Text
    INFO INTEGRATION & INFORMATICS
  • Code
    7364
  • Text
    Smart and Connected Health
  • Code
    8018

Program Reference

  • Text
    Smart and Connected Health
  • Code
    8018
  • Text
    SCH Type II: INT
  • Code
    8062
  • Text
    EXP PROG TO STIM COMP RES
  • Code
    9150
  • Text
    RES EXPER FOR UNDERGRAD-SUPPLT
  • Code
    9251
  • Text
    INFO INTEGRATION & INFORMATICS
  • Code
    7364