global sales oct2016F - LESISS · INTRO-DUCTION 1 QUI SOMMES NOUS 3 RÉFÉRENCES 4. 1 3...

www.marand.com

Integrate. Open. Innovate.

VENDOR-NEUTRAL,OPEN HEALTH DATA PLATFORM

Hélder RibeiroGlobal Sales DirectorMarand, d.o.o. | Slovenia – Europe

www.marand.comwww.marand.comwww.marand.comwww.marand.com

AGENDA

2

2CAS D’UTILISATION

INTRO-DUCTION

1QUI SOMMES NOUS

3RÉFÉRENCES

4

www.marand.comwww.marand.com

13

INTRODUCTION1


LES DONNÉES SONT DEVENUES PARTIE INTÉGRANTE DE LA VIE QUOTIDIENNE

4

APPS

DISPOSITIFS

DISPOSITIFS

DATA


DÉFI“DPI FRAGMENTÉ”, PLUSIEURSAPPS

5

EHR


DONNÉES PROPRIÉTAIRES, DÉPENDANTES DU FOURNISSEUR

6

PASSÉ

APPLICATION B APPLICATION C

MIGRATION DE DONNÉES

CONVERSIONCHAQUE 7–10 ANS

PERTE DONNÉES

CONVERSIONCHAQUE 7–10 ANS

PERTE DONNÉES

APPLICATION A


RÉSOLU POUR LES IMAGES ET DOCUMENTS

7

PRÉSENT

IMAGESPACS

DOCUMENTSHL7 / CDA

APPLICATION B APPLICATION CAPPLICATION A


QU'EN EST-IL DES DONNÉES STRUCTURÉES?

8

IMAGESPACS

DOCUMENTSHL7 / CDA

PETABYTES DE NOUVELLES DONNÉES DE SANTÉ STRUCTURÉES PAR JOUR (EUA) 3

PRÉSENT



DONNÉES OUVERTES, INDÉPENDANTES DU FOURNISSEUR

9

IMAGESPACS

DOCUMENTSHL7 / CDA

DONNÉESSTRUCTURÉES

FUTURE



DPI COMPLET AVEC UNE APROCHEGLOBALE, DISPONIBLE À VIE

10


ACCÈS AUX DONNÉES DE SANTÉ

11

COLLECTER LIVRER

NORMALISER

MODÈLES DE DONNÉES CLINIQUES STRUCTURÉS OPEN SOURCE


Think!EHR PlatformTM

12

� Plateforme ouverte big-data pour systèmes de dossiers de santé électroniques structurées haute performance

� Dépôt neutre du fournisseur de données cliniques basé sur les dernières spécifications openEHR

� Un récepteur universal acceptant données structurées ou non� Stocker, gérer, analyser, récupérer et échanger des données électroniques

structurées de santé � Conçu pour construire des applications sur une architecture commune.

www.marand.comwww.marand.comwww.marand.comwww.marand.com13

Archétypes font partie du OpenEHRARCHÉTYPES POUR STRUCTURER DONNÉES


ACCÉS AUX DONNÉES DE SANTÉ

14

Archétypes font partie du OpenEHR

� Ensemble de spécifications pour l’architecture d'un dossier de santé électronique � Ensemble d’outils (CKM, Archetype Editor, Template Designer)� Grande communauté internationale

Le principal objectif est construire DPI modulaire et interopérable avec interopérabilité sémantique


� Une plateforme ouverte pour développer des systèmes flexibles e-santé� Séparation du contenu et de la technologie� data & terminologies computable� Modélisation à deux niveaux �Archétypes – maximal data set�Modèles- data set cas d'utilisation

� Querying� Multi-lingual

OPENEHR

15

DATA CONCLUSION

RECORD ANALYZE

OPENEHRPLATFORM

HEALTHINFOMRATION

CLINICAL MODELS

TERMINOLOGY COMMIT QUERY


MODÈLES CLINIQUES DÉTAILLÉES

16

� Archétypes pour :� Observation� Évaluation� Instruction� Action


Est un modèle électronique détaillé et calculable d’un concept clinique structuré.

QU'EST-CE QUE C’EST UN ARCHÉTYPE?

17


Archétypes:

18

instructions élémentaires / dessins pour créer des structures significatives

Tout comme LEGO

ARCHÉTYPES SONT DES SPÉCIFICATIONS EN BRIQUE

www.marand.comwww.marand.com19

MODÈLES: SPÉCIFIQUE CAS D'UTILISATIONPERSONNALISER LE MODÈLE DE DONNÉES POUR LE FORMULAIRE, LE RAPPORT OU MESSAGE


ARCHÉTYPES

20

ANTENATAL VISIT

ISSUEBack pain

WEIGHT66 kg

BLOOD PRESSURE102/64 mmHG

FH142/min

ASSESSNAD, see 4/52

DIABETIC CHECKUP

ISSUETingling feet, feeling tired

WEIGHT76 kg

BLOOD PRESSURE124/92 mmHG

HbA1c7,5 %

ASSESSExcellent control

ISSUE

WEIGHT

BLOODPRESSURE

HbA1c

FH

ASSESS


HL7


OPEN EHR

FOCUS ONSTRUCTURE

FOCUS ONDATA

ENABLESQUERYING

FOCUS ON MESSAGING

FOCUS ONTRANSMISSION

≠


HIE VS CLINICAL DATA REPOSITORYHealth Information Exchange (HIE)

Mobilisation de l’information de santé par voie électronique à travers des organisations au sein d’une région, communauté ou d'un système hospitalierTraite de connectivité, communication sécurisée, orchestration, gestion des services et des processus, normes de messagerie et de surveillanceCertification IHE et large soutien aux normes d’interopérabilité est essentielle(HL7v2, HL7 CDA, CL7 FHIR, DICOM, legacy)

Clinical Data Repository (CDR)base de données en temps réel qui consolide les données provenant de diverses sources cliniques pour présenter une vue unifiée d’un seul patientTraite des modèles de données cliniques, le profil du patient, enregistrement longitudinal de donnéesBonne architecture DPI, conception de modèles cliniques basée sur standards, préservation du contexte et l’ontologie et enregistrements longue durée sont essentielles

Not an EMRsystemeither!!(e.g.Sisoft,Cerner,Epic etc)

23


OPEN EHR

24

ARCHÉTYPESspécialement conçu par et pour les professionnels de la santé

SEPARATION CLAIREentre les domaines techniques et cliniques

GRANDE BASE DE CONNAISSANCE des archétypes déjà disponibles(CKM)


OUTILS: GESTION CONNAISSANCE

25


COMPOSANTS DE LA PLATEFORME

Think!EHRSERVER

PROCESSHEALTH DATA

with

Think!EHREXPLORER

EXPLORE HEALTH DATA REQUIRING

NO PROGRAMMING

with

Think!EHRINTEGRATION

API FOR DATA ENTRY, QUERY AND RETRIEVAL

AND INTEGRATION ADAPTER FOR DATA

IMPORT

included in

Think!EHRDEV. TOOLKITS

APPLICATION DEVELOPMENT WITH THE FORM BUILDER

TOOL, TUTORIALS AND CODE EXAMPLES

providing with

Think!EHRMODELING

KNOWLEDGE ARTEFACTS BUILDING

with

26


� EHR Service API (Java RMI/JBoss Remoting, SOAP WS, HTTP/REST)� EHR Store/Query/Retrieve (OpenEHR 1.0.2, ADL 1.4)� AQL Functions, Result pagination, Join� Service API level Audit & logging� RBAC and ABAC Access Policy� FullText & Semantic search� TDS/TDD composition� Event/Trigger Framework (blocking/non-blocking w/plug-in interceptor)� Pluggable authentication & authorisation module (internally/externally provided service� Linear scalable N+1 architecture

TRAITEMENT DES DONNÉES

27

Think!EHR SERVER


� Generic web based EHR data viewer� AdHoc Query

(AQL Editor + Query Builder)� ResultSet Viewer� Export Query Result� Document Query and Rendering� Template/Archetype Management

(Browse, Upload, Delete)

QUERYING ET AFFICHAGE DES DONNÉES

28

Think!EHR EXPLORER


� Forms (Form Designer, Form Renderer, Form Server)� Clinical Model based Form Description,

Terminology Lookups, Field Dependency� HTML5 Form Renderer� Form Definition persistence & � Version Control

CAPACITÉ DE CRÉATION DE FORMULAIRE

29

Think!EHR EXPLORER


� API to store, manage, query, retrieve and exchange structured data. � Import TDDs, i.e. XML conforming to the TDS XML Schema � IHE/OpenEHR - Think!EHR XDS Repository interface� SMART platforms, oData protocol, Apple HealthKit.� Adapter (content-based-transform) for content mapping and transformation to

openEHR composition� Adapter Accelerators for ESB integration

ALIMENTATION ET EXPORTATION DES DONNÉES

30

Think!EHR INTEGRATION


� Smooth and semi-automated application developer experience (semantics the screen forms, defined by archetypes and templates)� EhrSrv API – Service API (Java Native, Web Services, HTTP/REST)� Terminology Adapter API – terminology validation & lookup� Clinical Decision Support* API – GDL Guideline execution� Dev. Framework – WebTemplates, CompositionBuilder, Transaction Sync� Forms & composition HTML5 Renderers� Tutorials, Code samples

FOURNIR L’EXPÉRIENCE DE DÉVELOPPEUR D’APPLICATION

31

Think!EHR DEV.

TOOLKITS


� Web based archetype/template designer� ADL 2.0.5 specification� Mindmap mode� Revision control� Export to operational template

CONSTRUCTION D'ARTEFACTS DE CONNAISSANCE

32

Think!EHR MODELING


233

CAS D'UTILISATION


COMMENT EST Think!EHR PlatformTM

TYPIQUEMENT UTILISÉ

34

CDR POUR LES GOUVERNEMENTS

ET LES PROGRAMMES DE

E-SANTÉ

ÉCOSYSTÈMES D’APPLICATIONS DE SANTÉ ET DE

SERVICES

PLATE-FORME DE DONNÉES DE

SANTÉ POUR DPI, APPLICATIONS,

APPS ET CDS

CDR POUR RECHERCHEET CLINICAL DECISIONS SUPPORT

FRAMEWORK FOR CLINICAL

REGISTRIES


DÉPLOIEMENTS Think!EHR

35

� Think!Clinical - Children hospital (UMC Ljubljana),� Think!Clinical - Institute of Oncology Slovenia � Think!Meds - UK (openEP)� Unimed - Brazil� DIPS ASA - Norway� PatienSky AS - Norway� eR Systems - Poland� Llogic - UK

PLATE-FORME DE DONNÉES DE

SANTÉ POUR DPI, APPLICATIONS,

APPS ET CDS


IHE/HIE

37

CORE

THEATER

PHARMACY

RIS

LAB


IHE/HIE

38

API

ECOSYSTEM/APPSTORE

CORE

THEATER

PHARMACY

RIS

LAB

POSTMODERN EHR


POSTMODERNE

• Composants multi-vendeur• Nouveaux modèles de deploiement (hybrid, cloud)• Nouvelle technologie (Mobile, Big Data, IoT, In-Memory, Process,

Rules)

• Amélioration usabilité et adoption utilisateur• Agilité et flexibilité (moins lock-in)• Rentabilité, la différenciation et l’innovation

39

UTILISE

PERMETTANT


MODÈLE À APPLICATION EN 1 HEURE

40

MODEL DESIGN

APPLICATIONANALYTICS


• Reduce the risk of vendor lock-in and create the right conditions for innovation by persisting structured clinical content from proprietary care delivery applications outside the EHR.

• Evaluate openEHR standards as a means of providing a universally consistent and semantically interoperable clinical data model when developing a target architecture. These standards can be used in the design of national or regional e-health efforts to provide a means of creating clinical data repositories that can then act as the data layer for broader application ecosystems.

Plan to develop and invest in the clinical informatics skills that will be needed to see through an openEHR-based target architecture.

– Gartner GroupEvaluate openEHR Standards for Managing Clinical Content Across the Care Continuum, 07 April 2017

GARTNER RECOMMENDATIONS TO CIOS


CDR POUR LES GOUVERNEMENTS

ET LES PROGRAMMES DE

E-SANTÉ


DÉPLOIEMENTS Think!EHR

42

� City-wide Electronic Health Record - Moscow (Russian Federation)� Interoperability backbone - MoH Slovenia


TARGET

44

CLINICIAN PORTAL APPS DECISION

SUPPORT

DEVICE CONNECT-

IVITY

PATIENTPORTAL APPS DEVICES

CLINICAL APPLICATIONS/SERVICESMULTI-VENDOR

PATIENT FACING APPLICATIONSMULTI-VENDOR

Connectivity & Transformation & Routing

Process & Orchestration

Management & Monitoring

Security & Privacy

MASTER PATIENT

INDEX TERMINOLOGY

PROVIDERREGISTRIE

SDATA

WAREHOUSE

SER

VIC

E B

US HEALTH INFORMATION ACCESS LAYER

DOCUMENTS STRUCTUREDDATAIMAGES

CLINICAL DATA REPOSITORIES


Gartner believes that truly effective and sustainable open architectures will need a capability for vendor-neutral data persistence, such as utilizing a common schema or set of archetypes and rules for managing structuredand unstructured data (for example, a VNA, openEHR or IHE XDS repository). Providing open messaging standards (for example, FHIR, HL7) for data exchange in specific use cases will only go so far in meeting the architectural challenges of digital citizen-centric care delivery.

– Gartner GroupHealthcare Provider CIOs Need to Rally Their Enterprise Architects Around Citizen-Centric Care Delivery, 07 February 2017

GARTNER ON OPEN ARCHITECTURE


Tested and Certified onBenchmark:

20M Patients1B documents, 25TB dataAverage Query Response time: < 1s

PERFORMANCE PROUVÉE

46

EXADATA

R E A D YReady ForPureSystems

EXALOGIC

R E A D Y

Record PerformanceTotal average system performance of 39,942 AQL TPS

Supports:Oracle DB, Oracle Exadata Database MachineIBM DB2, IBM PureSystems Ready Microsoft SQL Server


Think!EHR DEPLOYMENTS

47

ÉCOSYSTÈMES D’APPLICATIONS DE SANTÉ ET DE

SERVICES� EHRScape - globally� Code4Health - UK� Data Techno Park Wroclaw - Poland� EkoSmart - Slovenia


� Architecture modulaire pour construire chaque nouveau morceau suivant la capacité financière et les priorités cliniques� Ouverture du API de la plateforme aux

développeurs d’applications qui favorisera la concurrence et l’innovation. � Base solide et sémantiquement cohérente pour

réduire drastiquement le time-to-market pour les applications et les apps de nouvelle génération.

ÉCOSYSTÈMES MODULAIRES ET BASÉE SUR PLATEFORME

48


L'AVANTAGE DE LA PLATEFORME

49

DEVELOPMENT

SECURITY

DATA MANAGEMENT

INTEGRATION

DEVELOPMENT

SECURITY

DATA MANAGEMENT

INTEGRATION

TEMPS PASSÉ SUR LE BACK-END

APPROCHE DE LA PLATE-FORME PERMET DE PLUS DE TEMPS POUR LE FRONT-END


ESSAYEZ ONLINE | ehrscape.com

50


PATIENT HISTORY

51


DATA ANALYTICS

52


MEDICATION MANAGEMENT

53


PATIENT PORTALS, GROWTH CHARTS

54

www.marand.comwww.marand.comwww.marand.com

CLINICAL REGISTRIES

55


INTENSIVE CARE

56


PATIENT PORTAL

www.marand.com



59

CDR POURRECHERCHEET CLINICAL DECISIONS SUPPORT� Cambio HealthCare - Sweden

� Auckland Bioengineering Institute, The University of Auckland - New Zealand� Institut für Medizinische Informatik, Technische

Universität Braunschweig und Medizinische Hochschule Hannover - Germany� Cintesis - Center for Health Technology and service

Research - Portugal� Linkoping University - Sweden� UCL Chime - UK



60

FRAMEWORK POUR CLINICAL

REGISTRIES� Breast cancer screening programme (Dora) – Slovenia� Cervical cancer screening programme (Zora) – Slovenia� Parent registries - Slovenia


361

QUI SOMMES NOUS


Slovenia, Europewww.marand.com

� 150+ employees� 26+ years in IT business� Healthcare in Telecommunications

62


463

RÉFÉRENCES


CDR FOR GOVERNMENTS AND EHEALTH PROGRAMS

ECOSYSTEMS OF HEALTHCARE

APPS AND SERVICES

HEALTH DATA PLATFORM FOR EHR,

APPLICATIONS, APPS AND CDS

CDR FOR RESEARCH

AND CLINICAL DECISIONS SUPPORT


REGISTRIES

64


SLOVENIAN INTEROPERABILITY BACKBONEMinistry of Health SloveniaNational infrastructure to exchange and store clinical documents and structured health data

65


SLOVENIAN INTEROPERABILITY BACKBONEMinistry of Health Slovenia

Scope:� 30 hospitals, 90 healthcare

centres, 1.800 GPs and specialists

� 12.000 physicians, 9.500 hospital beds

� 2.1 million patients, 15 million visits/year

Challenges:� Complex environment

� Siloed Legacy systems� Difficult interoperability� Short time of delivery

Solutions:� Infrastructure for all eHealth

solutions including, Patient summary, eReferral, ePrescription and health registries

� Based on industry standards -IHE and openEHR

� Ready for cross-border integrations through epSOS

� Completed in under four months!

Benefits:� Standards based exchange of

clinical documents and data� Data into an open and

structured format � Technology and vendor neutral � Powerful querying and analysis

of normalised data

National infrastructure to exchange and store clinical documents and structured health data


CDR FOR GOVERNMENTS AND EHEALTH

PROGRAMS


APPS AND SERVICES

HEALTH DATA PLATFORM FOR EHR, APPLICATIONS,

APPS AND CDS

CDR FOR RESEARCH



REGISTRIES

67


SIMI MOSCOWCity-wide Electronic Health RecordClinical and analytical infrastructure providing a centralised, vendor-neutral EHR

68


SIMI MOSCOWCity-wide Electronic Health Record

Scope:� 428 policlinic institutions

� 76 healthcare centres� 12 million patients � 161 millions visits/year� 130.000 system users � 45.000 physicians� 1B documents, 25 TB of data


� Multi-vendor software development

� Vendor lock-in and risk� Lack of interoperability

Solutions:� Think!EHR PlatformTM as

clinical data repository� Platform APIs for all

development� openEHR and IHE XDS� IHE XDS for electronic

document sharing

Benefits:� Common data platform for all

applications� All clinical data in an open,

structured format� Technology and vendor

neutral, less lock-in � Powerful querying and

analytics� Deployed in a private cloud

Clinical and analytical infrastructure providing a centralised, vendor-neutral EHR


“For Moscow City’s EHR project, the Think!EHR PlatformTM

exceeded our expectations, proving the ability to handle 20 million EHRs with 1 billion documents while achieving sub-second response times”

– Alexey SoshninHead of IBS Healthcare, Russia


UNIMED CASE STUDYBiggest health insurance in Brasil

Scope:� Delivers +30% of healthcare at

national level� Network of healthcare services

covering extensive demographic region

� 351 Healthcare Units� 19 Million users

Problem: Implemented solution:� Implementation of a RES,

an Adaptive Patient Centric Portal

UNIMED A UNIMED B

UNIMED C

EHR

UNIMED A UNIMED B

PATIENT B

RECORDS

PATIENT A

RECORDS

PATIENTRECORDS

UNIMED BRASIL

NO PATIENTCENTRICVIEW

ELECTRONICHEALTHRECORD


Centralised and structured vendor-neutral data repository for primary care and hospital EHR

AYALA HEALTHPhilippines Primary Care and Hospital Provider


Scope:� 10 hospitals,

� 200 healthcare clinics� 5.000 hospital beds

Challenges:� Paper based healthcare

� Connectivity issues� Short time to delivery


clinical data repository for all health data


� Completed in six months

Benefits:� Standards based clinical

documents and data� Data normalised into an open

and structured format � Technology and vendor neutral � Powerful querying and analysis

of normalised data

Centralised and structured vendor-neutral data repository for primary care and hospital EHR

AYALA HEALTHPhilippines Primary Care and Hospital Provider


CHILDREN HOSPITALUniversity Medical Center, Ljubljana, Slovenia

Scope:� Part of UMC, the largest

healthcare institution in Slovenia

� 500 employees� 200 beds� 85.000 outpatient visits

Challenges:� Most administrative processes

were paper based� Complex environment� Low level of interoperability

Solutions:� Marand Think!EHR

PlatformTM deployed as a platform where applications can be built on top of a common architecture

� Structured and standards based clinical data repository

Benefits:� Integration of systems and data

on a central repository� Platform functionality for

further developments� Data into an open and

structured format � Technology and vendor neutral

� Powerful querying and analysis of normalised data



PROGRAMS


APPS AND SERVICES



CDR FOR RESEARCH AND CLINICAL DECISIONS

SUPPORT


REGISTRIES

75


Centralised and structured vendor-neutral Phenotype data repository

GENOMICS ENGLAND100,000 Genomes Project


Scope:� Sequence 100,000 genomes

� 13 regions, 6 NHS Trusts:� Great Ormond Street� UCLH� the Royal Free London� Barts Health� Moorfields Eye Hospital� London North West

Healthcare

� Model and collect 278 data points for cancer

� Model and collect 1,000 data points for rare diseases

Challenges:� Data sharing within and

between organisations and regions

� Accelerate scientific progress and support the focused, interdisciplinary collaboration

� Combine clinical and whole genome sequencing data in rare disease, cancer, and infection

� UK as the first country in the world to sequence 100,000 whole genomes

Solutions:� Marand Think!EHR

PlatformTM deployed as a structured and standards based clinical data repository to store Phenotype data

Benefits:� Integration of systems,

phenotype and genomics data� Easy access to all phenotype

data� Improved research capabilities

through powerful querying and analysis of normalised data

� Centralised, structured and technology and vendor-neutral clinical data repository

Centralised and structured vendor-neutral Phenotype data repository

GENOMICS ENGLAND100,000 Genomes Project



PROGRAMS


APPS AND SERVICES



CDR FOR RESEARCH


FRAMEWORK FOR CLINICAL REGISTRIES

78



EUROTRANSPLANT INTERNATIONAL FOUNDATIONClinical data repository


Scope:� operational 27/7/365

� About 2,500 users � 134.6 million inhabitants� 25.000 registered donors� 14,560 patients on the active

organ waiting list� 10,808 new registrations per

year

� 7,145 organ transplants per year

Challenges:� Storing diverse clinical content

to enable donor matching� Unifying applications across

five organ programmes� Preparation for future process

changes (an increase in clinical data archetypes being stored is expected).

Solution:� Think!EHR PlatformTM as

clinical data repository� Platform APIs for micro

services (applications)� Collecting and normalizing

data from disparate sources (Laboratories, Transplantation centers, Donor centers, Allocation office)

Benefits:� Common data platform for all

applications� All clinical data in an open,

structured format� Technology and vendor

neutral, less lock-in � Powerful querying and

analytics� Deployed in a private cloud

80


EUROTRANSPLANT INTERNATIONAL FOUNDATIONClinical data repository



PROGRAMS

ECOSYSTEMS OF HEALTHCARE APPS AND

SERVICESHEALTH DATA

PLATFORM FOR EHR,


CDR FOR RESEARCH



REGISTRIES

81


Innovative App EcosystemSalford Royal Foundation Trust, ManchesterPlatform to develop innovative apps and services

82


Innovative App EcosystemSalford Royal Foundation Trust, ManchesterPlatform to develop innovative apps and services

Scope:� 30 hospitals, 90 healthcare

centres, 1.800 GPs and specialists

� 12.000 physicians, 9.500 hospital beds

� 2.1 million patients, 15 million visits/year


� Siloed Legacy systems� Difficult interoperability� Short time to delivery


clinical data repository for all eHealth solutions including, Patient summary, eReferral, ePrescription and health registries


� Ready for cross-border integrations through epSOS

� Completed in six months

Benefits:� Standards based exchange of

clinical documents and data� Data normalised into an open

and structured format � Technology and vendor neutral � Powerful querying and analysis

of normalised data


“Think!EHR Platform™ fully supports two key interoperability standards: openEHR for structured data and IHE for documents and infrastructure. This aligns well with our vision of using a standards based, vendor-neutral, clinical data repository to help solve national and international interoperability challenges. By making Think!EHR Platform™ a key component of our knowledge-based systems architecture, we will be able to continuously innovate and develop sustainable healthcare IT solutions for the future.

– prof. dr. Björn BerghDirector

Department of Medical Information Systems

REFERENCES


REFERENCES

“The maturity of Think!EHR PlatformTM and the flexible support from Marand has been central to this, and we see the ability to exchange information through the common data platform as critical in wider integration of this and other products.”

– Richard Jefferson

Head of Programme CommissioningNHS England


REFERENCES

– Tor Arne ViksjøCEO of DIPS ASA

“Utilising Think!EHR Platform™ will enable us to cut development time by months thus helping us reach delivery targets for the next generation of our product.”

– Vladimir MakarovDeputy Head of Moscow City

Department of Information Technology

“Think!EHR Platform™ provided cutting edge technologies allowing us to separate clinical data from process and application logic. This has been the main reason for choosing this platform for our project.”


REFERENCES


CONTACT

88

Hélder RibeiroGlobal Sales Director

[email protected]+386 41 655 125

global sales oct2016F - LESISS · INTRO-DUCTION 1 QUI SOMMES NOUS 3 RÉFÉRENCES 4. 1 3...

Documents

Transcript of global sales oct2016F - LESISS · INTRO-DUCTION 1 QUI SOMMES NOUS 3 RÉFÉRENCES 4. 1 3...