Virtual Soldier Or Combat Medical Support Enters the Information Age DIRO – 12/03/03 Problem Medical Support is the only component that does not have a computer (information) representation of its product DIRO – 12/03/03 Result •Billions of dollars of software in prototyping, simulation, virtual testing & evaluation is not available to improve the health, performance, sustainability, training and equipage of the soldier •Without an information representation, medical support cannot integrate into FCS DIRO – 12/03/03 What difference will it make? The implementation is instant battlefield diagnosis A total body scan of every soldier . . . • worn on their electronic dog tag • distributable to multiple of echelons of care . . . converted to the individual virtual soldier . . . • from the generic model architecture • to soldier specific data as baseline . . . which upon wounding . . . is compared to the wounded status . . . • updated real-time data • and trajectory of missile/wavefront . . . automatically predicts injury and mortality . . . • based upon model of empiric biologic properties • taking the individual soldier baseline • compared to post-injury data (entrance-exit, vital signs, etc) DIRO – 12/03/03 The Virtual Soldier is . . . • • • • A computer representation in silico of a generic human Based upon computational models - molecular to body Derived from empirically measured biological properties Personalized to represent a specific solider • • Ubiquitously available Updatable in real time (Holomer) Holographic Medical Electronic Representation DIRO – 12/03/03 How is medical care done TODAY and what are the limitations? Now The Medic & MASH: no baseline information, injury written on a paper “toe-tag” „best guess‟ as to category of injury (immediate, delayed,etc) Not integrated into other medical systems no vital signs during transport generates a new handwritten record in the ER, lab, etc Future Complete information (allegies, meds,etc) Decision support to automate diagnosis and triage Incorporate into FCS (Scorpion) Continuously updated, especially change Cornerstone of a dynamically changing medical record Limitations: No baseline information No way to update information – echelons, within hospital, over time No method of autonomously assisting medic in the far forward area Complete and personalized information to that specific soldier Continuously updating information Aid and automate diagnosis DIRO – 12/03/03 What is the project trying to do? Build a Virtual Soldier on an Electronic “dog tag” From Which to Diagnose and Predict Combat Injury Why? Instantly & Accurately diagnose internal combat injury (heart) Holographic Medical Electronic Representation Holomer How? 3-D model from total body scan on “dog tag” (anatomy & physiology) Compare to data acquired on the battlefield after wounding (Ultrasound) Predict likelihood of battlefield mortality Accurate Diagnosis & Treatment Saves Lives FOR THE INDIVIDUAL SOLDIER THIS MEANS: Empowering the individual medic at the point of wounding to make a diagnosis of an injury with the same expertise as having an expert surgeon on site DIRO – 12/03/03 What is truly novel? Computational model that truly substitutes for the soldier . . . Virtual Soldier Holomer on dog tag Decision Support BMIS Real-time data ultrasound, vital signs, etc Organs Injured ?Shock Calculate & Display Quicker Automatic Diagnosis Outcomes . . . to accurately diagnose wounding Free spin-offs: Current status, ergonomic studies, etc An entirely new magnitude and type of modeling . . . Scale: gene, molecule, cell, organ . … total body . . . of the Integrate: Systems: structure, biochemistry, physiology, mechanics . . . for the heart, lung, liver, kidney, brain, muscle, bone . . . . . . The Human Genome contains less than 10% of the data of a “virtual soldier” Medical Moon Shot DIRO – 12/03/03 How to overcome limitations “Living” representation Develop a dynamic, generalizable, scalable ontology from real data Holomer Interact in multiple dimensions on a physiologic-based computational representation Display the results in an intuitive fashion for automatic diagnosis Phase I (go/no-go milestone) Methodology Demonstrate one level integration Organ level Demonstrate one system integration Cardiac Integrate automatic diagnosis Segmentation Decision support Display results Level System Organ Tissue Increase accurate diagnosis of heart wounds to > 80% System Brain Muscle Heart Lung Kidney Liver Physiology Cellular BioChem Gene DIRO – 12/03/03