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Integrated Data for Better CareSpecification document

Datashop

Datashop can connect with 50+ EHR, Claim, and PMS systems deployed at geographically distributed locations.

Datashop lets you build your own views using cards to give you reports, alerts, measures, and

schedules in almost real-time.

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WHITEPAPER: INTEGRATED DATA FOR BETTER CARE

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Introduction

Most health organisations face issues in healthcare data integration and two-way interoperability due to siloed approach of healthcare providers in maintaining clinical, claims, laboratory, and pharmacy data with every provider maintaining their version of Health IT Infrastructure. It’s a cultural change and new healthcare models are trying to break this barrier by integrating as many systems as they can.

It is very evident that analyzing and integrating this data collectively can drastically improve patient care and both clinical and financial outcomes, but how to actually collect, read, integrate, understand and leverage the data remains a broken process.

With providers using multiple EMR systems to store patient information it becomes very difficult for a Network of providers or Payers to collate this patient information in order to make any sense of the data. Each EMR system uses it’s own proprietary format to store data which adds to the complexity of the data and since most of them are “Black Box” models, modifications to the architecture is very expensive.

Datashop as a platform provides the support to integrate data from various black box EMR systems into a single standardized data-lake. From this data lake Provider Networks or Payers can use the data for the purpose of interoperability, transferring the data between the different EMR systems installed at the various providers in the networks.

The question remains, how fast, easy, and reliable can healthcare data integration be.

Innovaccer is a Silicon Valley based firm with focus in Big Data Analytics and Platform, especially in the

Healthcare Industry. It was born out of research projects at academic institutions like Harvard, Wharton,

Stanford, Duke, and 65 of top 100 research institutions around the world. In the midst of assisting researchers

in 200 small and big research projects ranging from complex data sourcing, integration, transformation,

advanced analytics, and visualizations on large volumes of data, Innovaccer built its robust ‘All Data’ platform

called Datashop which met high accuracy and reliability standards of US research ecosystem. Datashop

has become more than a product and treated as a single platform for ‘All Data Needs’ in top governmental,

healthcare, and financial organizations where we serve.

About Innovaccer

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Datashop is a data platform built with a difference. Its robust framework makes it iOS equivalent of Big Data for all developers and at the same time single point-and-click platform for managers abstracting out all coding layers from them and providing an enriched and flexible Big Data experience. It not only acts as a Big Data Warehouse but also goes one step back and beyond. It’s got intelligent layers to perform data integrations, cleansing, and transformation which otherwise become a tiring and manual task.

HADOOP

BusinessAnalysts

DataScientists

ApplicationEngineers

Datashop

Disparate Stream of Data Data Driven Decisions withIntuitive Analytics Platform

About Datashop

Did we forget to tell that Datashop gives you the power to design data the way you want to see it?

When we say Big Data, it can also handle complex analytical modules like Machine Learning, Optimization, and Time-Series Forecasting. This can be tailored for specific use-cases like Readmission Prediction, Risk Analytics and Sepsis Detection.

Datashop comes with in-built visualization layers powering you to design your own synthetic KPIs, dashboards, and views which comes with user management and HIPAA compliant security controls

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Datashop H-Integrator

One of Datashop’s premier offering is H-Integrator, a healthcare data integration application designed for whole spectrum from CXOs to IT Administrators. It is a powerful and a transformational solution that solves the problem in the simplest way.

H-Integrator comes with off-the-shelf data connectors to over 50 different Health IT systems, point-and-click interfaces with rich features like data connections, cleansing, transformations, quality reporting, custom dashboards, two-way interoperability, user-management, and security.

Integrate healthcare data without writing a single line of code. Datashop does most of the heavy-lifting by letting you create custom data connectors and transformation modules within days.

Datashop has in-built data connectors with intelligent mappers to the following EMR/EHRs:

eClinicalWorksPractice FusionHMSSageSupraCernerEpicAthenahealthIntergyAmazing Charts

Care360e-MDsSOAPware IncGE CentricityMicroMDGreenway PrimeSuiteNextGenAprimaAltaPointAllscripts Professional

Advanced Data Systems CorporationAllscripts TouchWorksDoctorsPartner LLCHealthFusion IncMcKessonMedisoftOffice PracticumAllscripts MyWay

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Datashop Health Integrate connects with clinics, hospitals, physicians, payers and other healthcare providers onto a unified data platform. This involves setting up Datashop Client at each of the several geographically spread systems, across disparate and legacy EMR/EHR systems, for multiple types of datasets - ICD-10, DRG, CPT, LOINC, HL7, CCD, C-CDA, FHIR ADT, 834/837 etc files. The acquired data from the remote locations would be encrypted and transferred on an ongoing basis to a server located inside the client network via secure file transfer protocols.

Using Datashop Client frequency for the data process can be set, can be real-time, daily, weekly, depending on the requirement. The Datashop platform setup incorporates data pipelines, which allows detailed overview and management of the data flowing into the system, including the ability to raise appropriate alerts and notifications in case of failures.

Datashop is ideally suited to manage disparate and distributed healthcare data. Through a scalable client-server architecture, the onus of filtering and pushing data is managed on each of the disparate client side (each of different sources such as EMR, Lab, Payer etc.), while cleaning and integration happens at the server side. Unlike most solutions in Market, Datashop’s ability to build real-time data stream lies in the fact that data from each of the client side follows a “push” mechanism, instead of a centralized “pull” approach. This gives our customers flexibility to decide how frequently data needs to be streamed, control over what information is transmitted, better accountability in terms of log management, and better security by managing access locally at each of the sources.

Datashop maintains a single patient view post integration. We call it Enterprise Master Patient Index (EMPI) which comes with two in-built features.

Datashop is ideally suited to manage disparate and distributed healthcare data.

Ability to interface with vendor specific EMPI solution (eg. IBM’s Initiate or with NextGate)

Built in Patient repository with configurable search/match algorithm

1

2

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Key Features

Datashop Health Integrate meets 2016 Interoperability standards of NCHIT and meets requirements for Meaningful Use 2.

Data Connection

Handles multiple data transport mechanisms like FTP, SFTP, HTTP, HTTPS, VPN, IHE XDS.b, IHE XDR, Manual Uploads, RESTful API or other web services.

Handles multiple data systems like RDBMS (Oracle, SAP, SQL-Server, MySQL), Flat Files, XML, JSON, HTML, CCDs, Documents.

Data Connectors for 50+ Healthcare IT systems like eClinicalWorks, Allscripts, Mckesson.

Data Transformations

In-built intelligent meta-data management and master data management, manual override on mapping files.

Transformation library with 100+ generic and 20+ healthcare specific data transformations

Point-and-Click data pipeline builder

Slice and Dice data by point-and-click

Save and share data-sets / work-sets with colleagues

Data Reporting Create custom synthetic KPIs

Create custom dashboards

In-built reporting on NQF, HEDIS, and PQRS quality measures

Publish dashboards with colleagues or third party individuals

Two Way Interoperability

Handles multiple data transport mechanisms like FTP, SFTP, HTTP, HTTPS, VPN, IHE XDS.b, IHE XDR, Manual Uploads, RESTful API or other web services.

Handles multiple data systems like RDBMS (Oracle, SAP, SQL-Server, MySQL), Flat Files, XML, JSON, HTML, CCDs, Documents.

Data Connectors for 50+ Healthcare IT systems like eClinicalWorks, Allscripts, Mckesson.

Security User Management, Log Management, and Audit Reporting

Single-Click PII Masking

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H-Integrator Data Landscape

Datashop H-Integrate works with a wide variety of Health IT systems to integrate a wide spread of health information ranging from clinical to lab to financial to pharmacy. Given below are some off-the-shelf compatible data standards supported with in Datashop Health Integrate.

Domain Coding Standards

Conditions SNOMED-CT

Medications RxNorm

Medication classifications NDF-RT

Labs LOINC

Immunizations CVX

Allergies - Non drugs UNII

Allergies - Ingredients NDF-RT

Allergies - Drugs RxNorm

Measurements (e.g. vital signs) LOINC

Documents (e.g. Discharge Summaries or progress notes) LOINC

Procedures SNOMED-CT

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Domain Coding Standards

Financial / Billing

• ICD-9-CM: Volumes 1 & 2 for diagnosis codes

• ICD-9-CM: Volume 3 for inpatient hospital procedures

• NDC: National Drug Codes for retail pharmacy claims

• HCPCS and CPT-4® for physician services and other

health services

• HCPCS for all other substances, equipment, supplies,

and other medical supplies

• CDT® for dental services

• NDC for retail pharmacy transactions

• ABC Codes for registered users

• Diagnostic Related Groups (DRGs)

ASC X12N 837

ASC X12N 820

ASC X12N 834

ASC X12N 835

ASC X12N 270/271

ASC X12N 278

ASC X12N 276/277

NCPDP Telecommunication Standards

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Two Models of Integration

Data flow can be established either via two way spoke model or using a hub and spoke model in Datashop Health Integrate using its server and client applications as illustrated below.

SourceClient

SOURCE HISP

EncryptionIntegrity

AuthenticationCertificates

DestinationClient

EncryptionIntegrity

AuthenticationCertificates

DESTINATION HISP

STATE PHYSICIAN HIE HOSPITAL

DIRECT PROJECT VPN SFTP WEB SERVICES

Datashop

Two way spoke model

Hub and spoke model

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After installation of applications, connecting with a Health IT system is a mere point-and-click process.

1 Configure Source

There are multiple types of IT systems one can configure and connect to including FTP, SFTP, HTTP, HTTPS, VPN, IHE XDS.b, IHE XDR, Manual Uploads, RESTful API or other web services.

EMR DatabaseMySQL

Application Programming InterfaceAllscripts Unity API

File SytemC:/Exports/

Connectors3 connectors

New Connector

Sort by Last Updated NoneSelect Al lFind sources..All Types

New Source: Setup

Patient Records

TYPE

EMR Database

CONNECTOR

emr_records

DATABASE NAME

Allscripts

EMR TEMPLATE

Patient Clinical Information

NAME

Next

Source Details Connector Details

2 Map Data Tables

Once the source is successfully connected, a data tables can be configured and mapped to the single unified data schema. Datashop handles multiple databases like RDBMS (Oracle, SAP, SQL-Server, MySQL), Flat Files, XML, JSON, HTML, CCDs, and Documents.

Intelligent Meta Data Management feature recommends mappings from source table to single unified data schema which can also be altered via a manual override. Medical datasets in Datashop are based on Normalized Medical Schema (NMS)and the data is loaded from various data sources to persist in Medical Data Repository (MDR). Disparate data sources using different nomenclature can send the same clinical subjects of a patient to the platform.

ID ID Number

Clinical Source Clinical Source String

Clinical Source Type Clinical Source Type String

Patient ID Patient ID Number

Admission Date Admission Date String

NAME MAPPING DATA TYPE

Diagnosis 23 variables

Patient Visit 31 variables

Labs 12 variables

Meds 17 variables

Vitals 43 variables

NAME

VARIABLESTABLES

Search Tables Search Variables NoneSelect All

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Going one step beyond, Datashop allows hierarchical data formats wherein one table can be nested into other table for providing one-to-many mappings like multiple visits or diagnosis with single patient. The schema uniquely identifies the clinical subjects and consolidates to get a consistent and longitudinal view of a patient record.

New Source: Mappings

DoneBack

VARIABLETABLE VARIABLETABLE

Diagnosis Patient ID Patient ID

Diagnosis Patient ID Vitals Patient ID

Select Table Select Variable Select Table Select Variable

3 Manage Connections

Finally, test your connection and observe number of records pulled from every system and table.

It comes with automated log management and alert system to easily manage missed or broken connections with root causes.

No data receivedRaised When : File missing on SFTPON Send Notification via Email

hide emails

[email protected]@[email protected]

Failure - File format changedRaised When : File format changesON Send Notification via Email view emails

Failure - Checksum MismatchRaised When : Checksum match failsON Send Notification via Email view emails

Predefined data structure changedRaised When : Column not foundON Send Notification via Email view emails

AlertsMemorial Hospital EditSync Now

CONFIGURED BYDhruv Singhal

LAST SYNC10 hours ago

STATUSSuccess

NEXT SYNCFeb 12, 2016 12:00 AM

Sources

Patient Clinical InformationCONNECTED

Connector

EMR DatabaseRecords

1.2MVariables

17

Provider RecordsCONNECTED

Connector

EMR DatabaseRecords

1,316Variables

12

ClaimsCONNECTED

Connector

File SystemFormat

X12Files

3

Connectors

EMR DatabaseMySQL

Application Programming Interface

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No data is clean or available in same format like dates, ICD codes, and diagnosis descriptions. Datashop comes with over 100+ in-built data transformation modules and 20+ healthcare specific modules to create data pipeline for cleansing. One can build a data pipeline to cleanse and standardize it. These pipelines can be saved and scheduled for automated reruns at desired times.

VARIABLE

S No

DATA TYPE

Number

ID Number

Full Name String

First Name String

Email String

Patients Clinical Information

Provider Records

Claims

Schema

SFTPTYPE

Clincal DataNAME

Input Data

Clinical Information

OutputPatient ID

DedupeJoin

Date: DateStandardize

Date: DOBStandardize

HaemoglobinRegEx Parser

Table SelectPatient

ResultsTable Select

SFTPClincal Data

ExecuteData Pipeline

RegEx Parser

De-dupeStandardizeUnion

SampleSortJoin

FilterTable SelectSelect

TRANSFORMATIONS

Output DataInput Data

DATA SOURCES

Search

Flows

New Pipeline SaveDiscard ChangesPipelines / Mercy Hospital /

4 Setup Data Transformations

Datashop is agile and therefore the supported measure sets are not limited. It has the flexible capability to measure any and every measure that is either predefined in a value based program or customized for an internal purpose. It gives the ability to go white box and define your own measures using a list of mathematical, logical, binary and aggregation operators.

FORMULA

Age more than 18COUNT ( AND Number of Visits is 2 OR Preventive Care Visit is 2 )

Count(Screening) more than 1

Screening Code in 305.1 , 627.4, 853.2

COUNT ( )ANDScreening Dates less than 24 monthsANDScreening Dates more than 0 monthsAND

Save Cancel

Substance Use Screening and Intervention Composite

MEASURE NAME

2597

MEASURE NUMBER

Edit Measure

Back

MathematicalAdd, Subtract, Multiply, Divide, ()

Logical>, <, >=, <=, =, !=

AggregationGroup By, Sum, Count, Average, Min, Max, Median

BinaryAND, OR, NOT

5 Build your Own Measures / Synthetic KPIs

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Datashop gives the power to visualise measures as customisable views from a library of 40+ visualisations using its unique card design architecture. These views can easily be shared with other users on the platform.

SOURCE WORKSETS

Facility Performance Add Workset

Widgets Filters

Add a new widget

34.1%Readmissions

20%

30%

40%

50%

Perc

enta

ge R

eadm

issi

ons

High Risk Patients

243

100

150

200

250

Num

ber o

f Pat

ient

s

Hypertension - BP > 140/90

Goal <80%

69.7% (140 of 201)

40

60

80

100

Hyp

erte

nsio

n - B

P >

140/

90

Diabetes - HbA1C > 8.0

Goal <70%

58.8%

0%

20%

40%

60%

80%

100%

HbA

1c

NOVDEC

JANFEB

MARAPR

MAYJUN

JULAUG

SEPOCT

ImmunizationMMR VZV

10%

0%

20%

30%

40%

50%

Perc

enta

ge P

opul

atio

n

NOVDEC

JANFEB

MARAPR

MAYJUN JUL

AUGSEP

OCT

Risk Adjusted PMPM

$425.67Goal $ 460

100

0

200

300

400

500

PMPM

NOVDEC

JANFEB

MARAPR

MAYJUN JUL

AUGSEP

OCT

Provider Quality Report Discard Save

0

20

40

60

80

100

HbA

1c

NOVDEC

JANFEB

MARAPR

MAYJUN

JULAUG

SEPOCT

DateTYPELabel

X AXIS

70% MinMax

GOAL

Bar Chart

58.8%Current

EDIT

HbA1c Measure

DIMENSIONS

HbA1c PercentageTYPE

Add Dimension

GROUP BY

Add a Dimension

PIVOT (OPTIONAL)

Add a Dimension

Stack Segments and Pivots

Filter this data

SaveCancel

Delete

6 Build your Own Reporting Views

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H-Integrator comes with in-built reporting views for quality measures. These views can be configured with a single click

Dashboards2 dashboards

Create Dashboard

NAME CREATED

Behavioral Measures 3 Nov

Inpatient Measures 12h ago

NQF Measures 25 Oct

PQRS Measures 28 Oct

Provider Quality Report 21 Nov

Risk Manager 16 Nov

# MEASURE CREATED

Alcohol Screening and Follow-up for People with Serious Mental Illness2599 22 Oct

Diabetes Care for People with Serious Mental Illness: Eye Exam2609 19 Oct

Substance Use Screening and Intervention Composite2597 19 Oct

Child and Adolescent Major Depressive Disorder (MDD): Suicide Risk Assessment1365 22 Oct

Depression Utilization of the PHQ-9 Tool0712 19 Oct

Depression Remission at Twelve Months0710 22 Oct

PQRS MeasuresOct 21, 2014 – Oct 22, 2015

ExportShareShared with 2 users

Add Filter Oct 21, 2014 – Oct 22, 20151yTime range 1m6m 3m

Inspect Data

Measures

METRIC CURRENT BENCHMARK

Use of recognized therapies 67% 80%

OCM-FFS Emergency Department Visits 2,154 1,000

OCM-FFS Hospital Admissions 1,287 500

Medicare Admissions < 3 days in last 30 days .. 11 15

Mortality Rate of OCM-FFS 3% 5%

Measures

METRIC CURRENT IOWA AVERAGE NATIONAL AVERAGE

#001: Diabetes: Hemoglobin A1c Poor Control 35% 66% 70%

#002: Diabetes: Low Density Lipoprotein (LDL-C) Control (<100 mg/dL) 72% 72% 76%

#005: Heart Failure (HF): Angiotensin-Converting Enzyme (ACE) Inhibitor or Angiotensin ReceptorBlocker (ARB) Therapy for Left Ventricular Systolic Dysfunction (LVSD)

57% 64% 62%

#006: Coronary Artery Disease (CAD): Antiplatelet Therapy 68% 83% 87%

#007: Coronary Artery Disease (CAD): Beta-Blocker Therapy – Prior Myocardial Infarction (MI) orLeft Ventricular Systolic Dysfunction (LVEF < 40%)

77% 84% 80%

Quality Reporting

Once the data is integrated, quality reporting should not be tough. Datashop Health Integrate comes with in-built quality measures covering a spectrum of 626 NQF measures, 284 PQRS Measures, 81 HEDIS Measures, and 33 ACO Quality Measures. One can simply pick measures from the in-built library and create custom dashboards.

Behavioral MeasuresInpatient MeasuresPaediatric MeasuresACO Measures

HEDIS MeasuresNQF MeasuresPQRS Measures

Supported measure sets:

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H-Integrator for HIE

Datashop platform can connect to external HIEs (private or state) using IHE XDS.b standards based workflow, which are go-to standard in the industry for ‘pull’ transactions between two enterprises.

The solution workflow includes:Datashop acting as XDS.b document consumer and pulling data from HIE.Datashop on demand document source allowing the source to pull data from Datashop.

HIE Connectivity

Utilizes secure internet connectivity between HIE and Datashop without the need of VPN, but requires security certificate. All messages to include SAML token as per IHE cross enterprise user assertion profile XUA and secured via TLS per IHE ATNA secure node specification.

Connectivity Requirement

Innovaccer need to engage with the HIE to validate the integration and requires HIE to support sending/receiving IHE PDQ v3 messages, sending/receiving IHE registry stored query transactions and corresponding document.

Engagement with an HIE

Type HIE Connectivity Community EHRs

Transport Standards IHE XDS.b HL7, IHE XDS.b/XDR

Package CCDs, Documents CCD

Vocabulary as per HITSP/c83

ADT Feeds Required? Yes

Network Connection HTTPs HTTPs/VPN (for HL7)

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Two Way Interoperability

As in any network oriented approach, biggest challenge is that disparate clinical systems have different way of accessing the data. Some systems are new-systems with built-in interoperability, while as some legacy systems are not wired for data sharing and management. Some ways of accessing data from such systems are flat files, file system access, Direct Database access, or application-layer-access (HIE connectivity, HL7 feeds, CCD, CCLF etc.).

We solve this problem by building a very lightweight scalable platform to account for not only various types of data-access allowed/possible, but a platform which is source-agnostic. It means that Datashop’s client can be deployed at any EMR, Lab, Clinical Decision Support or other systems, and the mechanism for integration will remain the same, irrespective of the source.

Our Datashop platform enables forward looking healthcare organizations to meet the growing needs of seamless connectivity between providers within their facilities, across their network and in the community. Datashop is equipped to help the organizations to achieve the success with:

1. Workflow integration and delta views - Datashop has CCOW compliant EMR extensions to provide seamless access to the unified patient record for the provider without leaving the EHR at the point of care. Datashop provides a set of views which is important for the physician to see the data available in other EHRs to make the patient chart up to date. This makes it simple for the clinician and hence relies on Datashop for the complete patient history.

2.Community connectivity: Datashop uses standards-based connectivity routes to connect employed and affiliate clinicians. They just simply subscribe to have the patient information published in to their EHR, Datashop HIE does the rest behind the scenes by averting costly point to point interfaces.

3.Semantics harmonization: Healthcare organizations do not lack of data but the lack of standardization makes it impossible to exchange the data in ‘as is’ condition. Datashop normalize and standardizes the data in source-agnostic format enabling achieve easy interoperability with other health information systems. The semantic data organization also allows clinician to quickly understand the true meaning of data from multiple disparate systems. 4.Innovative platform: In the ever changing healthcare landscape to accomplish triple aim(Care, Health and Cost), organizations that are adopting emerging care delivery models(ACO, PCMH etc.) will be required to support complex clinical workflows requiring to use increased interoperability in the near future. This made us to choose to build our platform on service oriented architecture(SOA) that would allow to catch up with the changes in the industry and delivering the new solutions quickly.

This is true interoperability achieved.

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Security and User Management

Datashop platform has powerful built-in security features. All data at rest and being transmitted is encrypted using industry-standard algorithms and transferred only via secure channels. Audit logs are maintained for every point of entry/exit and access of data. The platform has fine-grained role-based user-access controls for every feature and data cell, along with a dashboard can allows system administrators to see exactly what access the different users of the system have including turning PHI or PII masking on or off for a particular user. The server is housed within the host network. The system is regularly backed up securely so that the system can be restored from an incident. The system also follows guidelines laid down in the HIPAA Title-II for safeguarding of healthcare data.

Create Group

Groups4 groups

GROUPS USERS

North Iowa Chapter 4 users

Clinton Chapter 8 users

Sioux City Chapter 8 users

Central Iowa Chapter 7 users

Find user..

USERS ADDED ON

Laura Johnson Mar 22nd, 2015

Christine Johnson Jan 14th, 2015

Lawrence Stewart Feb 28th, 2015

Gregory Watkins Mar 17th, 2015

NoneSelect AllFind user..

Add Users

RolesUsers

Created on Jan 14, 2015

4 members

North Iowa Chapter

Create User

Users23 users

USERS GROUP LAST SIGNED IN PHI MASKING

Laura Johnson 12h OffNorth Iowa Chapter

Benjamin Mendez 25 Oct OffSioux City Chapter

Michelle Long 24 Oct OffSioux City Chapter

Phillip Reed 24 Oct OffCentral Iowa Chapter

Debra Bradley 23 Oct OnCentral Iowa Chapter

Ronald Soto 23 Oct OffCentral Iowa Chapter

Danielle Crawford 22 Oct OnCentral Iowa Chapter

Christine Johnson 22 Oct OffNorth Iowa Chapter

Lawrence Stewart 21 Oct OffNorth Iowa Chapter

Gregory Watkins 21 Oct OffNorth Iowa Chapter


USERS ADDED ON

North Iowa Chapter Mar 22nd, 2015


Add To Group1 group

Groups Roles Activity

Last Signed in 12h ago

PHI Masking

• Joined Feb 12, 2015

Laura Johnson

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Conclusion

Healthcare, like so many other sectors of the economy, is being transformed by technology. The challenge for most health systems is the ability to integrate disparate systems such as electronic health records (EHR) and a system to collect patient information after discharge. Integration as well as aggregation and harmonisation of data to make it available to multiple users are daunting tasks for overworked healthcare information technology (IT) staffs.

From a technology perspective, data is sourced from a myriad of systems with varied levels of sophistication, accessibility, transparency and quality. The existing systems that are prevalent are on ‘black box’ models and pulling data from them can range from merely difficult to downright arcane. On top of that, between payers, providers and patients, the opportunities to combine data sets can far exceed the willingness or ability of all parties to collaborate. Add to that the poor state of healthcare data integration tools, and you have quite a challenge to make sense of the health care puzzle.

Datashop solves all of these problems and is built for a flexible and interoperable unified data system with it being the single source-of-truth for any analysis, reporting, or visualization. The solution offered is on the anti-black-box model and can interoperate with any technology both at the source and also at the destination site.

With Datashop, save time and money, and focus on things that matter most - strategy, administration and operations - and effectively drive value-based care.

To know more about how Datashop can help you build an

Intelligent Operations Framework, advantages, timelines and other

features – please contact us at:

[email protected]

Innovaccer, Inc.Stanford Financial Square, 2600 El Camino Real, Suite 415

Palo Alto, CA 94306, United States

(O) +1 714 729 4038

© Innovaccer Inc 2015Innovaccer, Innovaccer Inc, and Innovaccer Datashop are trademarks of Innovaccer Inc. All other company and product names may be trademarks with which they are associated with. Datashop Care is a proprietary technology and Intellectual Property of Innovaccer.