Himss DC meet mark logic

© COPYRIGHT 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

Unstructured Data and AnalyticsMarkLogic Data Hub - Healthcare’s Best Data Integration & App Development Platform

Mohamad ThahirTechnologist, Healthcare

& Life Science

SLIDE: 2 © COPYRIGHT 2017 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

Healthcare Data Challenges

• 1.2 Billion clinical documents are produced in US each year

• 60% of these contains valuable patient-care information trapped in unstructured format

• Multiple Structures

• Inconsistent/Variable definition

• Multiple Silos

• Technological Innovation – AI, Blockchain, IoT, Cyber Security


50 LOWER

Compared to other service & insurance industries … leveraging unstructured data

High Price, High Volume FFS Procedures Most Impacted,Shift to Value-Based Models

Healthcare $355 per record,$158 avg in other industries

Healthcare Organization Data Challenges:Retention, Security, Compliance, Growth & Innovation

20 REDUCEDPAYMENTS

%MILLION PERBREACH

$4 %SATISFACTION? ? ?


60% OF TIME

By data scientists just wrangling dataNYT

WASTEDIn 2016 on data integration softwareGartner

Of data warehouse projects is on ETLTDWI for Informatica

The Massive Cost of Using Traditional Tech with ETL

3.5 BILLION INSPENDING

$% OF THECOST80


Credentialing & Contracting

Finance

CM / DM / UM

Enrollment

Marketing

Products & Plans

ClaimsLines-of-business

The “Next Gen” Solution§ A flexible, scalable operational database is

critical for a real-time Data Centricapproach

§ Greater convergence between analysis and operations is critically important to creating actionable data and better engagement

§ The new Enterprise Pattern is the Operational Data Hub

A NEW ENTERPRISE INTEGRATION PATTERN


The MarkLogic Data Hub Solution

RELATIONAL DATABASES

MAINFRAMES

FILE SYSTEMS

ANY OTHER SOURCE

TRANSACTIONAL APPLICATIONS

ANALYTICAL APPLICATIONS

DOWNSTREAM SYSTEMS

An Operational, Transactional & Analytical Enterprise “Next Gen” Data PlatformBridging Silos with Better Agility, Speed and Governance With Lower Costs

FLEXIBLE DATA MODEL

UNSTRUCTURED & STRUCTURED DATA

FAST INGEST, INDEX, SEARCH & ALERTING

ENTERPRISE RELIABILITY


The “Next Gen” Data Hub Tech DifferenceAN OPERATIONAL AND TRANSACTIONAL ENTERPRISE NOSQL DATABASE

§ Data ingested as is (no ETL)

§ Structured and unstructured data

§ Data and metadata together

§ Adapts to changing data and changing data structures

EASY TO GET DATA INFlexible Data Model

§ Index once and query endlessly

§ Real-time and lightning fast

§ Query across JSON, XML, text, geospatial, and semantic triples in one database

EASY TO GET DATA OUTAsk Anything Universal Index

§ Reliable data and transactions (100% ACID compliant)

§ Out-of-the-box automatic failover, replication, and backup/recovery

§ Enterprise-grade security and Common Criteria certified

§ HIPAA Compliant

100% TRUSTEDEnterprise Ready


Load Data As IsHOW MARKLOGIC DELIVERS

§ Load structured and unstructured data

§ Keep data and metadata together

§ Harmonize data in the database

§ Ability to skip:

– Upfront modeling

– ETL toolsOTHER METHODS REST APIs, Java Client API, Node.js Client API, Java / .NET XCC

JSON

XML

SEMANTIC DATA

GEOSPATIAL DATA

MLCP

BINARY


§ Variety of Interfaces – Modern programming languages familiar to developers

§ Application Services – Simplifies architecture and speeds up development

§ Developer Productivity – Tools and frameworks to speed delivery

Developer and User Access

HOW MARKLOGIC DELIVERS

SEARCH APPS

JAVASCRIPT

XQUERY

REST API

SPARQL

SQL

JAVA API

TRANSACTIONAL APPS

ANALYTICALAPPS

NODE.JS


Platform for running your business, analytics and building appsOperational Data Hub Solution – Next Gen Enterprise Integration Pattern

§ Convergent: Operational & Analytical. Provides 2-way interaction between users and data

§ Contextual: Data harmonized with semantic metadata

§ Data-centric: Integrates at the data level, not just functionally

§ Cost-effective: Minimizes ETL, data copying, business silos, technical silos and people-centric integration

§ Secure: Provides a platform for rich data governance

§ Complementary: Leverages existing assets and patterns

OPERATIONAL APPLICATIONS

MULTI-CHANNEL DISTRIBUTION

BIDIRECTIONAL ANALYSIS

OF ALL DATA

SSD, DAS, SAN, NAS, S3, Hadoop/HDFS

JSON

XML

Data-Centric Architectural

Pattern

CONFIDENTIAL – Proprietary Information – Do not disclose or distribute to third parties


MarkLogic Data Hub

HA

RM

ON

IZE

ING

EST

Enveloped Documents(Entity 1)

SERV

EEnvelopedDocuments(Entity 2)

RDBMSSource 1

Documents

Message Bus

Content Feed

Staging FinalSource Systems

Consuming Applications

Source 2 Documents

Source N Documents

… …EnvelopedDocuments(Entity N)

Operational Apps

Analysis/BI

Data Feeds

Indexes, Query, Scripts Indexes, Query, Scripts

Data Flow


Enterprise Data Integration Challenges: Solved

Enterprise Data HubsConsumer360, Medicaid, Operational Data, Metadata, Structured & Unstructured Data, Real-time Delivery at Scale … and Centers of Excellence

Data Services Hub & App Dev Platform for Real-Time Enrollment“The largest personal data integration government project in the history of the Republic.” - STEPHEN PARENTE, PHD, MPH, MS

Dynamic Content Delivery at ScaleIntegrated Data, Multi-Device Delivery

Global Trade StoreIntegrated Data, Integrated Post-Trade Processing

3 Top 10 Payers


Popular Healthcare “Next Gen” Data Projects

FLEXIBLE DATA MODEL

UNSTRUCTURED & STRUCTURED DATA

FAST INGEST, INDEX, SEARCH & ALERTING

ENTERPRISE RELIABILITY

EnterpriseData Hub

IT Initiatives Business Initiatives

§ Master Data Management§ Data Governance &

Compliance / Security§ Cybersecurity§ Metadata / Search§ Hadoop “Complement”§ Hadoop Alternative§ Data Enrichment /

Semantics§ Building Apps

§ Mergers & Acquisitions§ Engagement & Service

§ 360⁰ View of “Anything”§ Search “Anything”§ Communications &

Social Media§ Payment Reform

§ ACO, MACRA, FWA§ Quality & Outcomes

§ STARS, HEDIS, etc§ Real-time “Anything”§ Product / Plan Management