Webinar: How Leading Healthcare Companies use MongoDB


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Healthcare providers continue to feel increased margin pressure, due to both macro-economic factors as well as significant regulatory change. In response to these pressures, leading healthcare organizations are leveraging new technologies to increase quality of care and simultaneously reduce costs. In this session, hear how MongoDB has enabled successful real world projects, such as:
* Electronic Medical Records - A leading health care provider provides patient data to doctors and other professionals via a web-enabled Bring Your Own Device application
* Reference Data Management - One of the country's largest clinical laboratory networks provides a scalable solution for the management of laboratory test results

The use cases are specific to Healthcare but the patterns of usage - agility, scale, global distribution - will be applicable across many industries.

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  • Introduction Run the Federal business which of course spans Civilian, IC, and DoD Technical 8 years in NoSQL in the government space SPSS Ad Serving Code slinging at DARPA
  • For the first time we can digitize humans. We can remotely and continuously monitor each heart beat, moment-to-moment blood pressure readings, the rate and depth of breathing, body temperature, oxygen concentration in the blood, glucose, brain waves, activity, mood – all the things that make us tick. We can image any part of the body and do a three-dimensional reconstruction, eventually leading to the capability of printing an organ. Or, we can use a miniature, handheld, high-resolution imaging device that rapidly captures critical information anywhere, such as the scene of a motor vehicle accident or a person's home in response to a call of distress. We can determine all 6 billion letters ("life codes") of a person's genome sequence. And all of this information about an individual can be assembled from wireless biosensors, genome sequencing or imaging to be readily available, integrated with all the traditional medical data and constantly updated. We now have the technology to digitize a human being in highest definition, in granular detail, and in ways that most people thought would not be possible. This reflects an unprecedented super-convergence. It would not be possible were it not for the maturation of the digital world technologies – the ubiquity of smartphones, bandwidth, pervasive connectivity and social networking. Beyond this, the perfect digital storm includes immense, seemingly unlimited, computing power via cloud server farms, remarkable biosensors, genome sequencing, imaging capabilities and formidable health information systems.
  • More demands Expectations shaped by rapid change and innovation in consumer markets Government must react faster Time to mission is shortening One example Enemy threats more varied and change rapidly Fiscal constraints (do more with less)
  • NoSQL shouldn’t be viewed as a pejorative term. It simply refers to databases that don’t use SQL as their primary access and aren’t relational MongoDB has a rich feature set and date model that allows it to work across many problem domains. It shares this in common with the RDBMS which has been a general purpose database for 30 years
  • How does MongoDB help Governments be faster better cheaper? It comes down to three key aspects that MongoDB enables: Agility, Scalability, and Value I promise you this is not my most technical slide
  • MongoDB provides agility, scalability, and performance without sacrificing the functionality of relational databases, like full index support and rich queries Indexes: secondary, compound, text search (with MongoDB 2.4), geospatial, and more
  • Using a document oriented model made having a dynamic schema natural What does having a dynamic schema mean?
  • Talk about workloads working off of the secondary
  • Talk about workloads working off of the secondary
  • Talk about workloads working off of the secondary
  • Webinar: How Leading Healthcare Companies use MongoDB

    1. 1. How Leading Healthcare Companies use MongoDB Marcelo Rocha DaSilva MongoDB Solutions Architect wmarcelo@mongodb.coom
    2. 2. 2 • Webinar will begin at 1pm ET • There is a Q&A following the webinar. You can enter questions in the Q&A box to the Host and Presenter. • A recording of the webinar will be available and emailed 24 hours after the event is complete. • Audio should start immediately when you log into the event via Audio Broadcast. You will need a Voip headset and reliable internet connection for Audio Broadcast. If you are having issues connecting, please dial 1-877-668-4493; Access code: 668 308 088 Or ask a question in the Chat box. • For any other issues please email webinars@mongodb.com. MongoDB Healthcare webinarMongoDB Healthcare webinar
    3. 3. 3 • Need for greater efficiency driven by the market and the Patient Affordable Care Act • Today’s health data lives in silos • Cultural barriers prevent faster adoption of emerging technologies • Data lives in silos, not easily shared Health Care ChallengesHealth Care Challenges
    4. 4. 4 • Federal Incentives for Electronic Medical Records and Electronic Health Records • Sensors, devices, network bandwith, and storage costs have fallen dramatically. • Opportunity to make medical decisions based on the data is available today Health Care OpportunitiesHealth Care Opportunities
    5. 5. 5 Digital HumansDigital Humans Source:http://health.usnews.com/health-news/hospital-of-tomorrow/articles/2013/07/12/how-technology-is-transforming-health-care_print.html
    6. 6. 6 Health Care Data Challenges Many New Apps Data Sources Better Care Do More With LessFaster Time to Patient
    7. 7. 7 With the right tools the government, health care providers, and insurers can •Build new applications not possible before •Enhance service to patients significantly •Remove data redundancy •Better assess and effect health indicators •Reduce cost Big Data Is An OpportunityBig Data Is An Opportunity
    8. 8. MongoDB
    9. 9. 9 MongoDB The leading NoSQL database Document Database Open- Source General Purpose
    10. 10. 10 Electronic Medical Records Large Data Volumes Evolving Data Model MongoDB Health Care Use Cases
    11. 11. 11 Agility How? Scalability $ Value
    12. 12. 12 To provide the best database for how we build and run apps today MongoDB Vision Build –New, complex, varying data –Flexibility –New languages –Faster development Run –Big Data scalability –Real-time –Commodity hardware –Cloud
    13. 13. 13 MongoDB Features • JSON Document Model with Dynamic Schemas • Auto-Sharding for Horizontal Scalability • Text Search • Aggregation Framework and MapReduce • Full, Flexible Index Support and Rich Queries • Built-In Replication for High Availability • Advanced Security • Large Media Storage with GridFS
    14. 14. 14 RDBMS Agility – Document Oriented Model MongoDB { _id : ObjectId("4c4ba5e5e8aabf3"), employee_name: "Dunham, Justin", department : "Marketing", title : "Product Manager, Web", report_up: "Neray, Graham", pay_band: “C", benefits : [ { type : "Health", plan : "PPO Plus" }, { type : "Dental", plan : "Standard" } ] }
    15. 15. 15 • MongoDB does not need any pre-defined data schema. • Every document could have different data Agility – Dynamic SchemaAgility – Dynamic Schema {name: “jeff”, eyes: “blue”, height: 72, boss: “ben”} {name: “brendan”, aliases: [“el diablo”]} {name: “ben”, hat: ”yes”} {name: “matt”, pizza: “DiGiorno”, height: 74, boss: 555.555.1212} {name: “will”, eyes: “blue”, birthplace: “NY”, aliases: [“bill”, “la ciacco”], gender: ”???”, boss: ”ben”}
    16. 16. 16 Agility – Rich Query and Aggregation { object: ‘M1 Abrahms 3123’, type: ‘Armored Vehicle’, owner: ‘5th Armored’, location: [45.123,47.232], current_range: 245 armament: [ { model: ‘105mm M68A1’, type: ‘Rifled Cannon’, range: 100000, … }, { model: ‘120mm M256’, type: ‘Smooth Bore Cannon’}], crew: [ {name: ‘Paul’, … weight: 126000, equipment: [… desc: “This unit is highly … } Rich Queries • Find all armored vehicle under 64 tons with a smooth bore cannon and a crew member with IED removal training Geospatial • Find all units within a 220 mile radius of a position with transport capacity of 20 sorted by proximity Text Search • Find all units having Arabic mentioned Aggregation • Calculate the average range of units within the Afghanistan Theater of Operation Map Reduce • Find correlations between co-located units and mission casualties
    17. 17. 17 • Electronic Medical Records • Paper based chart is now completely digital • System has a large number of interfaces • Bring your own device allows faster adoption and new possibilities. • ACID transaction – Fully consistent data store • Flexible data model • Modern development languages • High Availability Use Case: Hospital
    18. 18. 18 • Large Data Volumes • Scalability • Enterprise ready – Security, Backups • Rich query language • ACID transaction – Fully consistent data store • Flexible data model • Modern development languages Use Case: Clinical Tests
    19. 19. 19 Agility – Native Language Drivers Shell Command-line shell for interacting directly with database Drivers Drivers for most popular programming languages and frameworks > db.collection.insert({company:“10gen”, product:“MongoDB”}) > > db.collection.findOne() { “_id”: ObjectId(“5106c1c2fc629bfe52792e86”), “company”: “10gen” “product”: “MongoDB” } Java Python Perl Ruby Haskell JavaScript
    20. 20. 20 Better Data Locality Scale - Performance In-Memory Caching In-Place Updates
    21. 21. 21 Scale – Auto-Sharding Auto-Sharding • Increase capacity as you go • Commodity and cloud architectures • Improved operational simplicity and cost visibility
    22. 22. 22 Scale – HA & Replication • Automated replication and failover • Multi-data center support • Improved operational simplicity (e.g., HW swaps) • Data durability
    23. 23. 23 High Availability • Highly Available • Geographically distributed • Fully Consistent • Data durability DC1 DC2 DC3
    24. 24. 24 High Availability & Scale DC1 DC2 DC3
    25. 25. 25 Developer/Ops Savings •Ease of Use •Agile development •Less maintenance Hardware Savings •Commodity servers •Internal storage (no SAN) •Scale out, not up Software/Support Savings •No upfront license •Cost visibility for usage growth Value - Lower TCO DB Alternative
    26. 26. 26 MongoDB Products and Services Training Online and In-Person for Developers and Administrators MongoDB Management Service (MMS) Cloud-Based Suite of Services for Managing MongoDB Deployments Subscriptions MongoDB Enterprise, MMS (On-Prem), Professional Support, Commercial License Consulting Expert Resources for All Phases of MongoDB Implementations