DIRO – 12/03/03 Virtual Soldier Or Combat Medical Support Enters the Information Age.

DIRO – 12/03/03

Virtual Soldier

Or

Combat Medical SupportEnters the Information Age

DIRO – 12/03/03

Problem

Medical Support is the onlycomponent that does not havea 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

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

. . . 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)

What difference will it make?

The implementation is instant battlefield diagnosis

. . . which upon wounding

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

Holographic Medical Electronic Representation (Holomer)

DIRO – 12/03/03

How is medical care done TODAY and what are the limitations?

Now Future

The Medic & MASH:

no baseline information, injury written on a paper “toe-tag” Complete information (allegies, meds,etc) ‘best guess’ as to category of injury (immediate, delayed,etc) Decision support to automate diagnosis and triageNot integrated into other medical systems Incorporate into FCS (Scorpion)no vital signs during transport Continuously updated, especially changegenerates a new handwritten record in the ER, lab, etc Cornerstone of a dynamically changing medical record

Limitations: No baseline information Complete and personalized information to that specific soldierNo way to update information – echelons, within hospital, over time Continuously updating informationNo method of autonomously assisting medic in the far forward area Aid and automate diagnosis

DIRO – 12/03/03

Instantly & Accurately diagnose internal combat injury (heart)

3-D model from total body scan on “dog tag” (anatomy & physiology)

Compare to data acquired on the battlefield after wounding (Ultrasound)

Build a Virtual Soldier on an Electronic “dog tag” From Which to Diagnose and Predict Combat Injury

Accurate Diagnosis & Treatment Saves Lives

Predict likelihood of battlefield mortality

What is the project trying to do?

Why?

How?

Holographic Medical Electronic Representation

Holomer

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 . . .

. . . to accurately diagnose woundingFree spin-offs: Current status, ergonomic studies, etc

Scale: gene, molecule, cell, organ . … total body . . .of the

Integrate: structure, biochemistry, physiology, mechanics . . .for the

Systems: heart, lung, liver, kidney, brain, muscle, bone . . .

. . . The Human Genome contains less than 10% of the data of a “virtual soldier”

Holomer on dog tag

ultrasound, vital signs, etcReal-time data

Virtual Soldier

BMISCalculate & Display Outcomes

Baseline

Update

Decision Support

OrgansInjured?Shock

Quicker Automatic Diagnosis

An entirely new magnitude and type of modeling . . .

Medical Moon Shot

DIRO – 12/03/03

How to overcome limitations

“Living” representationDevelop a dynamic, generalizable, scalable ontology from real data

Interact in multiple dimensions on a physiologic-based computational representationDisplay the results in an intuitive fashion for automatic diagnosis

Phase I (go/no-go milestone)

Demonstrate one level integration Organ level

Demonstrate one system integration Cardiac

Integrate automatic diagnosis Segmentation Decision support Display results

Brain Muscle Heart Lung Kidney Liver

System

Organ

Physiology

Cellular

BioChem

Gene

TissueLev

el

System

Holomer

Methodology

Increase accurate diagnosis of heart wounds to > 80%