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Hackmed 2017 demonstration:

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Description

The problem

  • Current medical care is:
    • Inefficient (i.e. pagers)
    • Involves the use of multiple sources of medical data
    • Increasingly time-consuming (56% of ward round [WR] spent on paperwork, 18% on delays/interruptions)
  • Fernandes & Eneje report WR inefficiencies in note-taking
    • Noted time lost during WR loking for notes, writing medical issues, past medical history
    • Average time ~8-9.5 minutes medical WR per patient
    • Reduced to 6 min with electronic data printed for WR

The solution: DocChARt

  • Innovative solution to efficiency of care
  • Use of portable augmented reality (AR) technology for:
    • Quick, secure viewing of unique relevant patient medical data linked to ID
    • Dynamic vital sign presentation
      • Linked with bedside clinical devices
      • Linked with medical alert systems
    • Viewing relevant medical history in real-time
      • Linked with electronic medical records, or manually inputted data
  • While easily accessible via smartphone, tablet or customised headset

Information included

  1. Patient identifier, demographics
  2. Observations/vital signs
    • Option to zoom to specific vitals, view trends
  3. Menu to zoom to relevant history, allergies, medications, bloods
  • Secure, two factor verification for login by physician/treating clinician
  • Ability to access data via unique patient code
    • Portability of information

What makes this different?

  • Ability
    • Providing dynamic information quickly in real time
  • Efficiency
    • Potential to improve speed, reduce WR time, improve patient care, reduce length of stay
  • Portability
    • Can use existing technology – patient labels for use
    • Use of AR app on smartphone/tablet
    • Headset battery standby of ~6 hours before recharge
  • Security
    • Carried by clinicians
    • Secured by two factor authentication, intranet system linkage

Conclusion

  • DocChARt: innovative new approach to improving clinical efficiency
  • Accessible real-time clinical information using adapted software + hardware
  • Secure, reliable, and verifiable
  • Not a replacement for medical care, but a valuable assistant

Contributors

  • Dr Andrew Nguyen (Australia)
  • Mr Diego Brown (US)
  • Ms Jannah Mohdshaffie (Malaysia)
  • Mr Liam Sorta (UK)
  • Ms Wai Ching Lin (Singapore)

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Languages

  • C# 86.6%
  • Java 6.2%
  • GLSL 4.5%
  • Objective-C++ 1.4%
  • C 0.5%
  • JavaScript 0.5%
  • Objective-C 0.3%