clinical collaboration in the cloud

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Clinical Collaboration in the Cloud:

Visual Neural Networking & Mobile Medical Imaging Disruptive Tools & Technologies for Value CareGiving Teams

Clinical Collaboration in the Cloud: Visual Neural Networking for Value CareGiving Teams

Discovery Development

Delivery

GatherExperimental

Evidence

Organize Observational

Data

Develop Explanatory

Theories

FormulateTestable

Hypotheses

OutcomesMeasurement& Monitoring

Clinical Signals

& Symptoms Disease

Detection &Diagnosis

Prognosis,Staging & Treatment

Other Uses or Benefits?

Is it Safe?

Does it Work?

Is it Better?

Life Sciences

Drugs & Devices

Value Care

V Clinical Collaboration in the Cloud with Visual Neural Networking 'Faster, Smarter, Better' Teams Collaborating with Clinical Cognitive Vismemes: 'Faster' Discovery in Life Sciences,'Smarter' Development of Drugs and Devices, 'Better' Coordinated Delivery of PatientCentric Value Care

Visual Neural Networking: Multisensory communications, collaboration, teamwork & training with 'clinical cognitive vismemes'; medical imagewaveforms metadatatagged& encapsulated with annotation & instruction; integration of multimodal, modalscalar imaging & genomic data streams for signal detection, pattern recognition & precision medicine

Sophisticatedtechnology

that simplifies

Regulations & standards

that facilitate changeLow-cost

innovativebusiness models

Economicallycoherent value

network

Disruptive Innovation Model[The Innovator's Prescription]

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Clinical Collaboration in the Cloud with Visual Neural NetworkingConnecting Collaborating Teams with Clinical Cognitive Vismemesin a Virtuous Circle of Visual Neural Networking

Clinical Collaborations with Visual Neural Networking

Collaborate

Capture

Connect

Communicate

Technology Training

Communications

Collaboration

Teamwork

Teams

Imagination

Images

Ideas

Insight

Vismemes

‘Faster, Smarter, Better' Teams Collaborating with Clinical Cognitive Vismemes

"drives productivity by 5% to 10% each year" [John Chambers, Cisco]

"cuts product innovation cycle times in half" [Jeff Immelt, GE]

Networking

Visual Neural

Networked Visual Collaboration:

Visual Connectivity∙ onetoone [consultation]∙ onetomany [instruction]∙ manytoone [monitoring]∙ on campus or offsite facility∙ single office location or ∙ realtime or asynchronous∙ augmented pattern recognition [CADe]

Collaboration Relationship ∙ peertopeer [2nd opinions]∙ mentorstudent [training]∙ multimodal image integration∙ hospital, outpatient clinics∙ multisite clinical trials network∙ clinician-patient eduction∙ mind↔machine adaptive learning systems

+ multipaired combinations of visual connectivity & collaborative communications relationships


Disruptive Tools and Technologies for Care-Giving Teams

Bending the Cost Curve with Collaborative Connected Team Care Illustrative Clinical Use Cases for Potentially Significant Cost Savings with Connected Team Collaboration & Clinical Cognitive Vismemes • Collaborative sharing of annotationenriched imagewaveforms by clinicians and specialists that reduces redundant testing, avoids unnecessary exposures to harmful radiation and improves detection, diagnostic evaluation and treatment • Rapid evaluation and emergent treatment of acute ischemic stroke [“Time is Brain”] with neurological expertise and remote telestroke support for neuroprotective rescue therapies within the “golden hour” that limit permanent damage and disability • Virtual tumor board networks with multi-specialist team collaborations that boost recruitment and retention of patients for adaptive clinical trials, and improve treatment and care for remote, rural and under-served populations • Surgical “road mapping”, simulation and training, including pre-operative team “warm-ups” with actual patient images, prior to interventional radiology, cardiac catheterization and endovascular procedures • Teleretinal screening for diabetic retinopathy (DR) with computer-assisted diagnostics (CADe) and pattern recognition tools for early detection of pre-diabetes before the onset of type 2 mellitus with vision impairment • Team care ‘checklists’ with clinical cognitive vismemes that help secure and sustain gains in quality team care, patient safety and clinical outcomes in the OR, and avoid potentially deadly miscommunications during patient handoffs

Connecting Silos from Bench to Bedside – and Back Again Collaborative image sharing with multisensory clinical instruction empowers care-giving teams to deliver communications-enhancedteam ‘value care’ in the 21st century – ‘faster, smarter, better’ patient-centric care – with higher quality, lower costs and healthier outcomes. Disruptive technologies such as visual neural neuworking with mobile medical imaging enrich and enhance team skills in a ‘virtuous circle’ of communications, collaboration, cooperation and coordination. Teamwork and training boost productivity and performance. Team care ‘checklists’ help secure and sustain gains in quality, safety and outcomes (especially in the OR), and avoid potentially deadly miscommunications during patient hand-offs. “Anywhere, Anytime” medical imaging “revitalizes” aging technology infrastructures with ubiquitous connectivity, bidirectional ‘pixel liquidity’, and ad hoc collaborations that extend the range, reach and effectiveness of medical devices and equipment. Mobile medical imaging transforms workflows for teams empowered with mHealth connectivity. Smart, agile teams, working in concert from off-campus locations, consume fewer and less costly RVU resources to orchestrate the delivery of team value care. With fewer medical errors, less redundant care and more skilled labor delivering better care in less costly venues, cost savings begin to accrue, compound and multiply. Working together, collaborative care-giving teams can start bending the cost curve. ‘Disruptive’ tools and technologies on the near horizon such as augmented pattern recognition with computerassisted detection [CADe] and Spatially Invariant Vector Quantization [SIVQ] for rapid adaptive machine learning with NLP semantic search, interactivedata visualization for integrative visual bioinformatics may help us with earlier detection of disease, more precise and predictive diagnoses, and better treatment options so that we can begin to deliver on the promise of personalized precision medicine.


Visual Neural Networking with Mobile Medical Imaging:Disruptive Tools & Technologies for Value CareGiving Teams “In the 21st century the delivery of healthcare will be a team sport” Jim Smurro discusses the promise and potential of Clinical Collaboration in the Cloud, with Visual Neural Networking [VNN] and Mobile Medical Imaging [MMI]. These potentially ‘disruptive’ technologies provide ubiquitous visual connectivity for care-giving teams, enabling collaborative image sharing and delivery of communications-enhanced value care with smart phones, netbooks and tablets.

Visual Neural NetworkingVisual communications, collaboration, teamwork and training with medical images and video, including multi-modal image integration at the point of cognition with multi-sensory instruction for rapid team learning in collaborative innovation networks. Imaging-enrichedcollaborations encompass a variety of combinations of visual connectivity and collaborative communications relationships, including: one-to-one [peer-to-peer consultation], one-to-many [student-mentor training], many-to-one [remote patient monitoring] in real time, or asynchronously. VNN connects Imaging, Teams and Technology in a ‘virtuous circle’ of collaborative clinical cognition.

VNN technologies enable multi-modal, multi-scalar image integration for more precise and predictive disease detection and diagnoses in the era of personalized medicine. Visual systems integration at the point of cognition facilitates analysis and correlation of anatomic, cellular and molecular imaging with metabolomic, genomic and proteomic information for integrative systems biology by teams of domain knowledge experts with computerassisted detection tools [CADe] for augmented pattern recognition.

Mobile Medical ImagingSavvy technology forecasters anticipate an explosion of traffic, devices and infrastructure capabilities in the mHealth space:• by 2013 there will be over 100 million tablets in use [Forrester]• by 2014 more than two-thirds of carrier wireless networks will be 4G/LTE• by 2015 mobile data traffic will increase 26 times [2,600%] over 2010 volumes• two-thirds of that traffic increase will be mobile video [John Chambers, Cisco]• by 2021 smart phones will be 100 times faster than today’s models [Eric Schmidt, Google] [Moore’s Law – technology performance doubles every 18 months] Mobile Medical Imaging provides ubiquitous visual connectivity with Commercial-Off-The-Shelf [COTS] technology components available today.

Clinical Collaboration in the Cloud for Personalized Precision MedicineVNN technologies provide a platform for collaborative discovery in life sciences, drugs and devices development and valuecare delivery. High speed, high performance mobile medical imaging enable care-giving teams to CaptureConnectCommunicateCollaborate and train together - anywhere, anytime - with medical imagewaveforms and video.

Annotated medical images, telestrated cine clips and encapsulated audio files help care-givers document and share episodes of care. Clinical encounters and specialist consultations are captured at the point of care in standards-compliant clinical notes. Secure, encrypted imaging portals with digital identity verification enable multi-disciplinary teams to better communicate, collaborate and coordinatedelivery of value care ‘faster, smarter, better’ personalized precision medicine with patientcentric value care.


clinical collaboration in the cloud

Healthcare