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.

1. How Leading Healthcare
Companies use MongoDB
Marcelo Rocha DaSilva
MongoDB Solutions Architect
wmarcelo@mongodb.coom

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MongoDB Healthcare webinarMongoDB Healthcare webinar

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• 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
• 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

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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

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Health Care Data Challenges
Many New Apps
Data Sources Better Care
Do More With LessFaster Time to Patient

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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. MongoDB

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MongoDB
The leading NoSQL database
Document
Database
Open-
Source
General
Purpose

10. 10
Electronic
Medical
Records
Large Data
Volumes
Evolving
Data
Model
MongoDB Health Care Use Cases

11. 11
Agility
How?
Scalability
$
Value

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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

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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

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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" }
]
}

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• 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”}

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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

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• 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

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• 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

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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

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Better Data
Locality
Scale - Performance
In-Memory
Caching
In-Place
Updates

21. 21
Scale – Auto-Sharding
Auto-Sharding
• Increase capacity as you go
• Commodity and cloud architectures
• Improved operational simplicity and cost visibility

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Scale – HA & Replication
• Automated replication and failover
• Multi-data center support
• Improved operational simplicity (e.g., HW swaps)
• Data durability

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High Availability
• Highly Available
• Geographically distributed
• Fully Consistent
• Data durability
DC1
DC2
DC3

24. 24
High Availability & Scale
DC1
DC2
DC3

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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

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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