Academic Appointments


  • Sr Research Engineer, Mechanical Engineering

Administrative Appointments


  • Executive Director, Healthcare Design Research, Stanford Center for Design Research (2013 - Present)

Professional Education


  • Postdoc, U.S. Department of Veterans Affairs and Stanford University, Medicine (PCOR) (2013)
  • Ph.D., Stanford University, Mechanical Engineering with a doctoral minor in Management Science & Engineering (MS&E) (2011)
  • M.S., Stanford University, Mechanical Engineering (Design, Biomechanics) (2001)
  • B.S., Massachusetts Institute of Technology, Mechanical Engineering (major) with Pre-Medical and Theater Arts concentrations (1998)

All Publications


  • Hands-Free Image Capture, Data Tagging and Transfer Using Google Glass: A Pilot Study for Improved Wound Care Management PLOS ONE Aldaz, G., Shluzas, L. A., Pickham, D., Eris, O., Sadler, J., Joshi, S., Leifer, L. 2015; 10 (4)

    Abstract

    Chronic wounds, including pressure ulcers, compromise the health of 6.5 million Americans and pose an annual estimated burden of $25 billion to the U.S. health care system. When treating chronic wounds, clinicians must use meticulous documentation to determine wound severity and to monitor healing progress over time. Yet, current wound documentation practices using digital photography are often cumbersome and labor intensive. The process of transferring photos into Electronic Medical Records (EMRs) requires many steps and can take several days. Newer smartphone and tablet-based solutions, such as Epic Haiku, have reduced EMR upload time. However, issues still exist involving patient positioning, image-capture technique, and patient identification. In this paper, we present the development and assessment of the SnapCap System for chronic wound photography. Through leveraging the sensor capabilities of Google Glass, SnapCap enables hands-free digital image capture, and the tagging and transfer of images to a patient's EMR. In a pilot study with wound care nurses at Stanford Hospital (n=16), we (i) examined feature preferences for hands-free digital image capture and documentation, and (ii) compared SnapCap to the state of the art in digital wound care photography, the Epic Haiku application. We used the Wilcoxon Signed-ranks test to evaluate differences in mean ranks between preference options. Preferred hands-free navigation features include barcode scanning for patient identification, Z(15) = -3.873, p < 0.001, r = 0.71, and double-blinking to take photographs, Z(13) = -3.606, p < 0.001, r = 0.71. In the comparison between SnapCap and Epic Haiku, the SnapCap System was preferred for sterile image-capture technique, Z(16) = -3.873, p < 0.001, r = 0.68. Responses were divided with respect to image quality and overall ease of use. The study's results have contributed to the future implementation of new features aimed at enhancing mobile hands-free digital photography for chronic wound care.

    View details for DOI 10.1371/journal.pone.0121179

    View details for Web of Science ID 000353331500009

    View details for PubMedID 25902061

    View details for PubMedCentralID PMC4406552

  • The insight-value-perception (iVP) model for user-centered design TECHNOVATION Shluzas, L. M., Leifer, L. J. 2014; 34 (11): 649-662
  • PHYSICIAN-DEVELOPER INTERACTION IN MEDICAL DEVICE DESIGN 5th Frontiers in Biomedical Devices Conference and Exposition Shluzas, L. A., Leifer, L. J. AMER SOC MECHANICAL ENGINEERS. 2010: 45–46
  • Stage-Gate Process for the Development of Medical Devices JOURNAL OF MEDICAL DEVICES-TRANSACTIONS OF THE ASME Pietzsch, J. B., Shluzas, L. A., Pate-Cornell, M. E., Yock, P. G., Linehan, J. H. 2009; 3 (2)

    View details for DOI 10.1115/1.3148836

    View details for Web of Science ID 000283763700004

  • THE ITERATIVE NATURE OF MEDICAL DEVICE DESIGN 17th International Conference on Engineering Design Shluzas, L. A., Pietzsch, J. B., Pate-Cornell, M. E., Yock, P. G., Linehan, J. H. DESIGN SOCIETY. 2009: 85–96