SlideShare a Scribd company logo
1 of 10
turnkey data for healthcare heroes
2
data science today
3
problem areas
domain expertise
Public & proprietary datasets are spread
across many catalogs, not all online, so
finding the right dataset is time consuming
privacy & compliance
Datasets have different owners, so
complying with multiple licenses, attribution
& reporting terms is an ongoing burden
data engineering
Formatting, optimizing and loading data into
your big data or data science platform of
choice requires substantial effort
data quality
Each dataset has different errors, missing
values, outliers, gaps, flurries, biases, typos –
requiring substantial manual effort to clean
data evolution
Datasets are updated on different schedules,
creating an operational burden to keep them
up to date
data integration
Datasets from different sources give different
meaning & assumptions to similarly named
concepts, making joins semantically wrong
4
DataOps defined
domain expertise
◦ Find or create the right data sets
◦ Enrich by experts or by joining data sources
◦ Access to proprietary or hard-to-find data
privacy & compliance
◦ Data license compliance support
◦ Ongoing reporting, attribution, disclosures
◦ Data monetization & secure licensing
data engineering
◦ Format data optimally for target platform
◦ Automatically load the data & metadata
◦ Auto-update governance & lineage catalogs
data quality
◦ Automated cleansing & validation rules
◦ Curated and auto-validated metadata
◦ Quality scores and beyond: Find outliers,
gaps, flurries, biases & provenance issues
data evolution
◦ Track changes in all source data
◦ Deliver clean, versioned updates daily
◦ Support overwrite-on-update
◦ Mappings for terminology changes
data integration
◦ Semantic inter-operability
◦ Unified type system & constraints
◦ Unified metadata specification
◦ Automated mappings to data platforms
5
how it works
tell us what you’re building
We have clinicians & data science experts who
speak your language. Just explain your goal,
your platform and what help you need.
we’ll prepare the data
We will research, curate, clean, license,
format, load, update & document all the
datasets your project requires.
so you can go build it
Focus on data science, and leave data
operations to us. We take care of updates,
integration, compliance and support you.
I want to predict patients at risk
for chronic kidney disease
I want to automatically generate
ICD-10 codes from clinical notes
I want to auto-recommend diets
that match patients’ treatment plan
I want to monitor and alert on
shifts in drug pricing & shortages
Continuously tested with the latest big data
& data science platform for one-step load
Ready to load
Up to 100x speedup on Hadoop & Spark
clusters thanks to Parquet serialization
Optimized
It’s as if all your health data came from one
clean source. Somewhere, pigs are flying.
Inter-operable
Get updates as they happen, not worrying
worry about broken schemas or identifiers.
Always up to date
Turnkey data
Clean
30+ automated validation rule sets run
on the data and metadata to ensure
correct, complete, same representation
– including units, currencies, locations,
timestamps, dates and missing values
Problem specific
Data provenance (sampling method,
data collection methodology, publisher,
conflicts of interest, freshness, gaps)
documented and verified by a domain
expert against your project
Compliant
Know in advance you have the right
data license for your business model,
geographic target and team. Remain
proactively compliant with reporting,
audits, attribution and privacy terms.
Quality data
8
domain expertise
88%
On our team
% MSc or MA
36%
On our team
% MD or PhD
PharmaClinical Revenue
Cycle
Public
Health
Cyber
9
let’s connect
address
 16192 Coastal Highway
Lewes, DE 19958, USA
( +1 (302) 786-5227
online
 www.JohnSnowLabs.com
* info@JohnSnowLabs.com
twitter.com/johnsnowlabs
company/johnsnowlabs
thank you.
© 2016 John Snow Labs Inc. All rights reserved. The John Snow Labs logo is a trademarks of John Snow Labs Inc. The included information is for informational purposes only and represents the current
view of John Snow Labs as of the date of this presentation. Since John Snow Labs must respond to changing market conditions, it should not be interpreted to be a commitment on its part, and John Snow
Labs cannot guarantee the accuracy of any information provided after the date of this presentation. John Snow Labs makes no warranties, express or statutory, as to the information in this presentation.

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What we do

  • 1. turnkey data for healthcare heroes
  • 3. 3 problem areas domain expertise Public & proprietary datasets are spread across many catalogs, not all online, so finding the right dataset is time consuming privacy & compliance Datasets have different owners, so complying with multiple licenses, attribution & reporting terms is an ongoing burden data engineering Formatting, optimizing and loading data into your big data or data science platform of choice requires substantial effort data quality Each dataset has different errors, missing values, outliers, gaps, flurries, biases, typos – requiring substantial manual effort to clean data evolution Datasets are updated on different schedules, creating an operational burden to keep them up to date data integration Datasets from different sources give different meaning & assumptions to similarly named concepts, making joins semantically wrong
  • 4. 4 DataOps defined domain expertise ◦ Find or create the right data sets ◦ Enrich by experts or by joining data sources ◦ Access to proprietary or hard-to-find data privacy & compliance ◦ Data license compliance support ◦ Ongoing reporting, attribution, disclosures ◦ Data monetization & secure licensing data engineering ◦ Format data optimally for target platform ◦ Automatically load the data & metadata ◦ Auto-update governance & lineage catalogs data quality ◦ Automated cleansing & validation rules ◦ Curated and auto-validated metadata ◦ Quality scores and beyond: Find outliers, gaps, flurries, biases & provenance issues data evolution ◦ Track changes in all source data ◦ Deliver clean, versioned updates daily ◦ Support overwrite-on-update ◦ Mappings for terminology changes data integration ◦ Semantic inter-operability ◦ Unified type system & constraints ◦ Unified metadata specification ◦ Automated mappings to data platforms
  • 5. 5 how it works tell us what you’re building We have clinicians & data science experts who speak your language. Just explain your goal, your platform and what help you need. we’ll prepare the data We will research, curate, clean, license, format, load, update & document all the datasets your project requires. so you can go build it Focus on data science, and leave data operations to us. We take care of updates, integration, compliance and support you. I want to predict patients at risk for chronic kidney disease I want to automatically generate ICD-10 codes from clinical notes I want to auto-recommend diets that match patients’ treatment plan I want to monitor and alert on shifts in drug pricing & shortages
  • 6. Continuously tested with the latest big data & data science platform for one-step load Ready to load Up to 100x speedup on Hadoop & Spark clusters thanks to Parquet serialization Optimized It’s as if all your health data came from one clean source. Somewhere, pigs are flying. Inter-operable Get updates as they happen, not worrying worry about broken schemas or identifiers. Always up to date Turnkey data
  • 7. Clean 30+ automated validation rule sets run on the data and metadata to ensure correct, complete, same representation – including units, currencies, locations, timestamps, dates and missing values Problem specific Data provenance (sampling method, data collection methodology, publisher, conflicts of interest, freshness, gaps) documented and verified by a domain expert against your project Compliant Know in advance you have the right data license for your business model, geographic target and team. Remain proactively compliant with reporting, audits, attribution and privacy terms. Quality data
  • 8. 8 domain expertise 88% On our team % MSc or MA 36% On our team % MD or PhD PharmaClinical Revenue Cycle Public Health Cyber
  • 9. 9 let’s connect address  16192 Coastal Highway Lewes, DE 19958, USA ( +1 (302) 786-5227 online  www.JohnSnowLabs.com * info@JohnSnowLabs.com twitter.com/johnsnowlabs company/johnsnowlabs
  • 10. thank you. © 2016 John Snow Labs Inc. All rights reserved. The John Snow Labs logo is a trademarks of John Snow Labs Inc. The included information is for informational purposes only and represents the current view of John Snow Labs as of the date of this presentation. Since John Snow Labs must respond to changing market conditions, it should not be interpreted to be a commitment on its part, and John Snow Labs cannot guarantee the accuracy of any information provided after the date of this presentation. John Snow Labs makes no warranties, express or statutory, as to the information in this presentation.