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Cloud based platform created to
  aggregate healthcare and biomedical
temporal data to visualize novel findings.
HealthCare's first time-series visualization and analytics engine




What we do?



Collect        Aggregate Visualize                         Evolve
What we Do : Architecture
Explore healthcare data and        Store and retrieve data simply
execute complex queries in         with IT and support built in
real time                          •REST API and client libraries
•Constant query times              •Automated scaling
•Range rollups and summaries       •No downsampling or archiving
•SQL query syntax                  •3X data replication, 24/7
•External data streams             support
(weather, etc.)
•Series tags and attributes        •Hosted or deployed solutions


             Purpose built cloud infrastructure to store &
             analyze massive streams of time-series data
Velocity: creating time-sensitive
processes data must be used as it
                                            Velocity
streams into the organization to
maximize its value.

                                       The Problem
                                                                          Volume: Healthcare is
                                             Big                          overwhelmed with ever-
Variety: healthcare                                                       growing data of all types
big data both structured                  Healthcare
and unstructured data                         Data
sensor data, logs.

                             Variety                           Volume




             Solution : Cloud Based Visualization & Analytics Engine
 Range rollups (1 minute, hour, day, etc.) provide the right level of detail across any range of
 time. Range summaries generate answers to the most frequently asked questions (average,
 minimum, maximum, standard deviation, etc) automatically
Temporal data management is an important process
for health care providers and decision makers. It must
not be ignored!
Types of healthcare data
•
•
    Medical devices
    Biomedical Sensors
                                          Collect
•   RFID data
•   Productivity data       Healthcare data is more than simply a
•   Surgical data           matter of volumes; it is an opportunity to
•   Infections statistics   find insights in new and emerging types of
•   Staff changeover        data and content.
•   Pharmaceutical
    Dispensing
•   Satisfaction Results
                            We can answer questions that were
                            previously considered beyond our reach.
•   Medication
                            Until now, there was no practical way to
•   Safety
                            harvest time series data.
•   Treatments
•   Productivity
•   Hand washing
•   Temperatures
•   Autoclaving
•   Charting
                                              Collect   Aggregate   Visualize   Evolve
Aggregate

     •   Cloud based service
     •   Temporal data aggregated
     •   Open API
     •   Big data processed & stored
     •   Smart business Analytics


Instant analysis of healthcare time-series streams

                               Collect   Aggregate   Visualize   Evolve
Visualize
•   Interactive charting
•   Visual aesthetics information
•   No programming
•   Near real time visualization




                                Collect   Aggregate   Visualize   Evolve
Evolve
   •   Predict Outcomes
   •   Improve processes
   •   Innovate Care
   •   Integrate new data streams
   •   Transformation of Healthcare



                             Collect   Aggregate   Visualize   Evolve
Testing Clients
• Healthcare Organizations
• Medical Devices
Competitor


                  MicroStrain’s SensorCloud™ is a sensor data
Sensor Cloud      storage, visualization and remote management
                  platform that leverages powerful cloud computing
overview Video    technologies to provide data scalability, rapid
                  visualization, and user programmable analysis.
                  The current SensorCloud core features include
                  MathEngine, LiveConnect, OpenData API, and
                  FastGraph.



 Our approach and business model is similar but our
 core focus is on healthcare and medical data.
What do we want to achieve at
             Rock Health

• Define Open API standards
• Network & collaborate with healthcare
  organizations and researchers to
  understand visualization needs
• Demonstrate our temporal data analysis
  platform to the health domain
• Generate buzz about our capabilities to
  attract investors and clients
Who we are


Dr. Phillip Olla is an Information Technology (IT) specialist with   Kwame Monthrope is a Senior Marketing Exec. that has
over 15 years experience working at the leading edge of IT and       ‘battlefield’ experience in developing and directing Corporate level
mobile innovation, he has also worked in the space, and              Customer Management (CM) and Customer Relationship
healthcare sectors. He is currently the founder and President of     Management (CRM) strategies to drive organizational
Mobile Diagnostic Services.                                          improvement. Broad experience in leveraging brand-building
                                                                     strategies that optimize visibility, market expansion, and
He has also managed his own Management Consultant company            profitability on a national and international scale.
delivering services to organizations such as Boeing, British
Telecom, and CLSA. He is a worldwide speaker with speaking           Ability to assess an organization’s capabilities.
engagements in Asia, Europe, and Africa. He has delivered over       • Budgeting & Financial Management
60 presentations to fortune 100 companies in 12 countries.           • Creative Development & Execution
                                                                     • Marketing Communications & Messaging
Dr. Olla has been an advisor and collaborated with United            • Net Promoter Score (NPS)
Nations, OECD, and NASA. Dr Olla has a PhD in Mobile                 • Data Mining & Analytics
Telecommunications from Brunel University in the UK; he is a         • Predictive Modeling
Chartered IT Professional with the British Computing Society and     • Partner Performance Management
Fellow of the Chartered Institute of IT. He has published            • Right-sourcing Management
numerous peer reviewed articles in journals, and authored 3
industry reports along with 7 book chapters and 3 books. Dr.
Olla is also a Professor at the School of Business at Madonna
University in Michigan USA.
We are hoping for an opportunity of a lifetime at Harvard.

We welcome the prospect of answering any of your questions at an
                           Interview.




                       Thank You!

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Cave health

  • 1. Cloud based platform created to aggregate healthcare and biomedical temporal data to visualize novel findings.
  • 2. HealthCare's first time-series visualization and analytics engine What we do? Collect Aggregate Visualize Evolve
  • 3. What we Do : Architecture Explore healthcare data and Store and retrieve data simply execute complex queries in with IT and support built in real time •REST API and client libraries •Constant query times •Automated scaling •Range rollups and summaries •No downsampling or archiving •SQL query syntax •3X data replication, 24/7 •External data streams support (weather, etc.) •Series tags and attributes •Hosted or deployed solutions Purpose built cloud infrastructure to store & analyze massive streams of time-series data
  • 4. Velocity: creating time-sensitive processes data must be used as it Velocity streams into the organization to maximize its value. The Problem Volume: Healthcare is Big overwhelmed with ever- Variety: healthcare growing data of all types big data both structured Healthcare and unstructured data Data sensor data, logs. Variety Volume Solution : Cloud Based Visualization & Analytics Engine Range rollups (1 minute, hour, day, etc.) provide the right level of detail across any range of time. Range summaries generate answers to the most frequently asked questions (average, minimum, maximum, standard deviation, etc) automatically
  • 5. Temporal data management is an important process for health care providers and decision makers. It must not be ignored!
  • 6. Types of healthcare data • • Medical devices Biomedical Sensors Collect • RFID data • Productivity data Healthcare data is more than simply a • Surgical data matter of volumes; it is an opportunity to • Infections statistics find insights in new and emerging types of • Staff changeover data and content. • Pharmaceutical Dispensing • Satisfaction Results We can answer questions that were previously considered beyond our reach. • Medication Until now, there was no practical way to • Safety harvest time series data. • Treatments • Productivity • Hand washing • Temperatures • Autoclaving • Charting Collect Aggregate Visualize Evolve
  • 7. Aggregate • Cloud based service • Temporal data aggregated • Open API • Big data processed & stored • Smart business Analytics Instant analysis of healthcare time-series streams Collect Aggregate Visualize Evolve
  • 8. Visualize • Interactive charting • Visual aesthetics information • No programming • Near real time visualization Collect Aggregate Visualize Evolve
  • 9. Evolve • Predict Outcomes • Improve processes • Innovate Care • Integrate new data streams • Transformation of Healthcare Collect Aggregate Visualize Evolve
  • 10. Testing Clients • Healthcare Organizations • Medical Devices
  • 11. Competitor MicroStrain’s SensorCloud™ is a sensor data Sensor Cloud storage, visualization and remote management platform that leverages powerful cloud computing overview Video technologies to provide data scalability, rapid visualization, and user programmable analysis. The current SensorCloud core features include MathEngine, LiveConnect, OpenData API, and FastGraph. Our approach and business model is similar but our core focus is on healthcare and medical data.
  • 12. What do we want to achieve at Rock Health • Define Open API standards • Network & collaborate with healthcare organizations and researchers to understand visualization needs • Demonstrate our temporal data analysis platform to the health domain • Generate buzz about our capabilities to attract investors and clients
  • 13. Who we are Dr. Phillip Olla is an Information Technology (IT) specialist with Kwame Monthrope is a Senior Marketing Exec. that has over 15 years experience working at the leading edge of IT and ‘battlefield’ experience in developing and directing Corporate level mobile innovation, he has also worked in the space, and Customer Management (CM) and Customer Relationship healthcare sectors. He is currently the founder and President of Management (CRM) strategies to drive organizational Mobile Diagnostic Services. improvement. Broad experience in leveraging brand-building strategies that optimize visibility, market expansion, and He has also managed his own Management Consultant company profitability on a national and international scale. delivering services to organizations such as Boeing, British Telecom, and CLSA. He is a worldwide speaker with speaking Ability to assess an organization’s capabilities. engagements in Asia, Europe, and Africa. He has delivered over • Budgeting & Financial Management 60 presentations to fortune 100 companies in 12 countries. • Creative Development & Execution • Marketing Communications & Messaging Dr. Olla has been an advisor and collaborated with United • Net Promoter Score (NPS) Nations, OECD, and NASA. Dr Olla has a PhD in Mobile • Data Mining & Analytics Telecommunications from Brunel University in the UK; he is a • Predictive Modeling Chartered IT Professional with the British Computing Society and • Partner Performance Management Fellow of the Chartered Institute of IT. He has published • Right-sourcing Management numerous peer reviewed articles in journals, and authored 3 industry reports along with 7 book chapters and 3 books. Dr. Olla is also a Professor at the School of Business at Madonna University in Michigan USA.
  • 14. We are hoping for an opportunity of a lifetime at Harvard. We welcome the prospect of answering any of your questions at an Interview. Thank You!

Notes de l'éditeur

  1. http://mkweb.bcgsc.ca/talks/datavisualization/