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Interoperability an Essential Component for Disaster Medicine

Interoperability an Essential Component for Disaster Medicine

One among many important focus areas at HIMSS15 was “disaster preparedness” – encompassing systems stability and communication network viability during regional disasters as well as ways to prepare for and address crises such as the Ebola virus outbreak in healthcare facilities.

During his presentation in the Interoperability Showcase, Julian Goldman, MD, affiliated with Massachusetts General Hospital (MGH)/Harvard Medical School, Department of Anesthesia, Critical Care and Pain Medicine, and director of the Medical Device Plug-and-Play (MD PnP) program (shown above), showcased a novel example of how device interoperability has the potential to be a lifesaver when treating infectious disease.

The MD PnP research program Goldman directs is a multi-institutional community that is leading the adoption of open standards and technologies for medical device interoperability to improve patient safety and health care efficiency, with a focus on developing publicly-shared building blocks for interoperability. In November 2014, at a request from a White House official, representatives from government agencies and multiple organizations gathered together at MGH to demonstrate concepts of methods beyond those currently available to improve Ebola care, inter-vendor data sharing, device integration, and remote and closed-loop control. During a three-day hack-a-thon, the group collaborated to address the problem of how to safely support the safety of patients and workers dealing with the care of Ebola-exposed persons in quarantine or under medical care in a hospital or similar facility. Using the MD PnP’s open-sourced integrated clinical environment (OpenICE), results included demonstrations at the MD PnP lab that ranged from remote control of ventilators, infusion pumps, and monitors, integration of multiple sensors for quarantine monitoring and remote monitoring, to sophisticated data processing and visualization. For more on this innovative collaboration, see:

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May 2015 Contributors

Denis HuenDenis Huen is an M.Res. candidate in Medical Robotics and Image Guided Intervention at the Hamlyn Centre for Robotic Surgery, Imperial College London. He is interested in fields related to nanotechnology, biomedical engineering, and biologically inspired robotics. Currently, his research focuses mainly on assistive wearable robotics for healthcare applications. Read more

Jindong LiuJindong Liu is a research fellow at the Hamlyn Centre for Robotic Surgery, Imperial College London. He is interested in fields related to biologically inspired mobile robotics. He obtained a PhD in Computer Science from the University of Essex where he built a biologically inspired autonomous robotic fish. Between 2008-2010, he studied the computational human auditory system and developed a computational mammalian auditory system applied to the sound localization on mobile robotics at University of Sunderland. In 2010, he joined the Hamlyn Centre, Imperial College London. Now he is focusing on natural human-robot speech interaction, pervasive sensing, and medical robots. Read more

Benny Ping Lai LoBenny Ping Lai Lo is Lecturer at the Hamlyn Centre and the Department of Surgery and Cancer, Imperial College London. Dr. Lo received his PhD in Computing from Imperial College London. His research interests include body sensor networks, pervasive computing, microelectronics, Bayesian networks, computer vision, temporal tracking, machine learning, image segmentation, and wearable robotics. Read more