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Critical need for standardization of eHealth Systems and Services
Dr. Ramesh S. KrishnamurthyFocal Point, eHealth Standardization and Interoperability
WHO HeadquartersG S it l d
1 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014
Geneva, Switzerland
Workshop ‐ 30 September 2014 ‐ 15:30‐17:00
Joya 1 and 2, Business Center 1 – Expo Guadalajara
Key Messages
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Key Messages
• Reliable Health Information Systems are essential for better healthcare delivery and better health outcome
• Functional Health Information Systems depends on harmonized and interoperable data elements between and within systems through adoption of Health Data Standards and IT Standards
• Strengthening Health Information Systems depends ti l hi lti t l t
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on national ownership, multisectoral engagement, appropriate use of ICT, and adequate human capacity
Outline
• Contextualizing the problem
• World Health Assembly Resolution 66 24• World Health Assembly Resolution 66.24
• Approach to strengthening Health Information Systems
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Two Relevant Documents
on Health Information Systems, eHealth, and prioritization of Health Data
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Commission on Information and Accountability
Recommendation 3 ‐ Innovation:
1
By 2015, all countries have integrated the use of Information
and Communication Technologies in their national h l h f d
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health information systems and health infrastructure.
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“The use of eHealth and mHealth should be strategic, integrated and support national health goals. In order to capitalize on the t ti l f ICT it ill b iti l tpotential of ICTs, it will be critical to agree on
standards and to ensure interoperability of systems. Health Information Systems must comply with these standards at all levels,
including systems used to capture patient data
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at the point of care.”
Source: United Nations, 2011. Keeping promises, measuring Results, First report of the COIA, p14.
“Common terminologies and minimum data sets should be agreed on so that information can be
ll t d i t tl il d tcollected consistently, easily and not misrepresented. In addition, national policies on health‐data sharing should ensure that data protection, privacy, and consent are managed
consistently.”
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Source: United Nations, 2011. Keeping promises, measuring Results, First report of the COIA, p14.
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2
|WHO | Global Fund | GAVI | UNFPA |
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| WHO | Global Fund | GAVI | UNFPA | |World Bank | UNAIDS | UNICEF |
|Gates Foundation|
highlights the following key points
• Increase Levels and Efficiency of Investments in Health Information
• Develop Common Data Architecture
• Strengthen Performance Monitoring
Infrastructure
Services
Standards
Policy
Governance
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g gand Evaluation
• Increase Data Access and UseGovernance
Protection
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fHealth Information System in the Context of
Health Data Standardization and Interoperability
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An Example of Health Information SystemA Set of Complex Sub Systems
HIS Sub Systems
Monitoring Policy
Allocated Length-Of-Stay Utilization
500
600
700
Allocated Length-Of-Stay Utilization
600
700
Allocated Length-Of-Stay Utilization
500
600
700
Allocated Length-Of-Stay Utilization
600
700
10%
20%
30%
10%
20%
30%
10%
20%
30%
10%
20%
30%
Data Warehouse
MonitoringEvaluationResearch
Extract, transform and load data into warehouse
Census Vital EventRegistry Surveys
Health Events & Risks
HealthServiceRecords
ResourceTracking
Policy
Resources
Processes
Information Services
0
100
200
300
400
500
Pa
tien
ts
Status 143 221 412 574 325 172 68 145
25% 50% 75% 100% 125% 150% 175% 200%0
100
200
300
400
500
Pa
tien
ts
Status 143 221 412 574 325 172 68 145
25% 50% 75% 100% 125% 150% 175% 200%
0
100
200
300
400
500
Pa
tien
ts
Status 143 221 412 574 325 172 68 145
25% 50% 75% 100% 125% 150% 175% 200%0
100
200
300
400
500
Pa
tien
ts
Status 143 221 412 574 325 172 68 145
25% 50% 75% 100% 125% 150% 175% 200%
-40%
-30%
-20%
-10%
0%
Variance 10% 4% -20% -21% 30% 8% 10% -17% -28% -13
B02 E02 E04 E15 H01 H02 H03 H04 H10 J03
-40%
-30%
-20%
-10%
0%
10%
Variance 10% 4% -20% -21% 30% 8% 10% -17% -28% -13%
B02 E02 E04 E15 H01 H02 H03 H04 H10 J03
-40%
-30%
-20%
-10%
0%
Variance 10% 4% -20% -21% 30% 8% 10% -17% -28% -13
B02 E02 E04 E15 H01 H02 H03 H04 H10 J03
-40%
-30%
-20%
-10%
0%
10%
Variance 10% 4% -20% -21% 30% 8% 10% -17% -28% -13%
B02 E02 E04 E15 H01 H02 H03 H04 H10 J03
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Modified after Health Metrics Network, 2007.
Data Collection Forms & Methods
Statistical Systems
FinancialSystems
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Producers and Consumers of PH Data
Many Producers and Consumers of HIS Data
Ministries of Health, Finance, Education, Labour, Local Health Governments, Private Health Sector,Insurance Providers, Development Partners, etc…
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Courtesy: HMN, 2007
Healthcare and PH D t
Country HIS Data Sources
PH Data
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Courtesy: HMN
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UnpakingUnpaking Health Information Systems
The Functional Blocks and The Primary Engines (sub processes)
15 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014
An Example of Health Information SystemA Set of Complex Sub Systems
HIS Sub Systems
Monitoring Policy
Allocated Length-Of-Stay Utilization
500
600
700
Allocated Length-Of-Stay Utilization
600
700
Allocated Length-Of-Stay Utilization
500
600
700
Allocated Length-Of-Stay Utilization
600
700
10%
20%
30%
10%
20%
30%
10%
20%
30%
10%
20%
30%
Data Warehouse
MonitoringEvaluationResearch
Extract, transform and load data into warehouse
Census Vital EventRegistry Surveys
Health Events & Risks
HealthServiceRecords
ResourceTracking
Policy
Resources
Processes
Information Services
0
100
200
300
400
500
Pa
tien
ts
Status 143 221 412 574 325 172 68 145
25% 50% 75% 100% 125% 150% 175% 200%0
100
200
300
400
500
Pa
tien
ts
Status 143 221 412 574 325 172 68 145
25% 50% 75% 100% 125% 150% 175% 200%
0
100
200
300
400
500
Pa
tien
ts
Status 143 221 412 574 325 172 68 145
25% 50% 75% 100% 125% 150% 175% 200%0
100
200
300
400
500
Pa
tien
ts
Status 143 221 412 574 325 172 68 145
25% 50% 75% 100% 125% 150% 175% 200%
-40%
-30%
-20%
-10%
0%
Variance 10% 4% -20% -21% 30% 8% 10% -17% -28% -13
B02 E02 E04 E15 H01 H02 H03 H04 H10 J03
-40%
-30%
-20%
-10%
0%
10%
Variance 10% 4% -20% -21% 30% 8% 10% -17% -28% -13%
B02 E02 E04 E15 H01 H02 H03 H04 H10 J03
-40%
-30%
-20%
-10%
0%
Variance 10% 4% -20% -21% 30% 8% 10% -17% -28% -13
B02 E02 E04 E15 H01 H02 H03 H04 H10 J03
-40%
-30%
-20%
-10%
0%
10%
Variance 10% 4% -20% -21% 30% 8% 10% -17% -28% -13%
B02 E02 E04 E15 H01 H02 H03 H04 H10 J03
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Modified after Health Metrics Network, 2007.
Data Collection Forms & Methods
Statistical Systems
FinancialSystems
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Infrastructure
HumanResources
FinancialResources
Informationand
KnowledgeResources
StewardshipFunctions
Conceptual Functional Elementsof Country HIS
DiagnosticCommunity-
based
Resources
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Health Facility-Based
Services
Services Services
Environmental(Monitoring)
Services
HealthCommodities
Courtesy: HMN
Relating HIS Functional Elements to HIS Primary Engines (sub processes)
Environmental Monitoring System
Patient Management System
Asset Management System
Alert and Response System
Knowledge Management System
Diagnostics Management System
Census System
Financial Management System
Further reviewLaboratory/
18 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014 Courtesy: HMN
Supply Chain Management System
Disease Surveillance System
Human Resources Management System
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Supply Chain Management System
Supply Chain Information System
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It is desirable that...
Health data systems should not beHealth data systems should not be developed as a stand‐alone vertical systems
that focus only on a particular process, instead, as an interoperable component
of national/sub‐national health information
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f / fsystem
Multitude of Stakeholders
A Complex Landscape
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Multiple Stakeholders of National HIS
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GW
S
Health Information Systems financially-supported vertical programs
GATES
FD
PEPFAR
ORLDBANK
STATE
FD
DONOR
1
DONOR
2
DONOR
N
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Community Level Programs
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HD D D D
Health Information Systems disease-based vertical programs
MALARIA
HIV /AIDS
TB
ISEASE
1
ISEASE
2
ISEASE
3
ISEASE
N
Data Extraction
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Community Level Programs
Movement of Data inNational Public Health Sector
Illustrative Example
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INDIA> 1.1 billion persons
Sub‐center
Public Health Sector Overview
District(640+ Districts)
Block(10,000+ Blocks)
(Representing several villages)
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State(35 States)
Sub‐center
Sub Centeror Health Sub Center
Country ICT Infrastructure
District(640+ Districts)
Block(10,000+ Blocks)
(Representing several villages)
Primary Health Center / B-PHCor Community Health Center
District Surveillance Unit
BroadbandConnectivity
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State(35 States)
State Surveillance Unit
Broadband and Satellite-based Connectivity
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Sub‐center
Sub Centeror Health Sub Center(Auxiliary Nurse Midwife, or Male Health Worker)
Weekly householdvisits to collect data
PH Data Collection Process
Paper Forms
Consolidated Forms at Sub-center per week
Handdeliver
District(640+ Districts)
Block(10,000+ Blocks)
(Representing several villages)
Primary Health Center / B-PHCor Community Health Center(Medical Doctor + helper)
District Surveillance Unit(District Surveillance Officer, Data Manager, Data Entry Operator)
Paper Forms
One consolidated forms
B-PHC or CHC data collected from
PHCs
Paper forms are converted to
electronic dataSpreadsheets
Email/Web Entry
deliver
Handdeliver
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State(35 States)
State Surveillance Unit (State Surveillance Officer, Data Manager, Data Entry Operator)
Electronic data, kept in the form of formats
Surv.Database Spreadsheets
Data Standardization:Challenges of data acquisition and
management from disparate sources
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Registries of a
Primary Data Source
Primary Health Worker
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Primary Data Source
Weekly Data, manually
computed by the data entry operator
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Minor Ailment R i
Primary Data Source
Registry
33 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014 Courtesy: US. CDC
OPD Registries
Primary Data Source
34 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014 Courtesy: US. CDC
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Fever Registries
Primary Data Source
35 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014 Courtesy: US. CDC
OPD / Fever Registries
Primary Data Source
36 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014 Courtesy: US. CDC
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Primary Data Source
State Surveillance Registries
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Primary Data Source
Data quality and validation issues
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Primary Data Source
Incomplete OPD Registries
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Data Collection
Courtesy: US. CDC
Specimen Logbook
Primary Data Source
40 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014 Courtesy: US. CDC
Data Collection
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Primary Data Source
Rumor Registries
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Data Collection
Courtesy: US. CDC
Primary Data Source
Vertical Program Data
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Data Collection
Courtesy: US. CDC
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Primary Data Source
Malaria Registries
43 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014 Courtesy: US. CDC
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SurveillanceForms
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Specimen Collection and Shipment
Forms
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47 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014 Slide 47
Patient File Recordkeeping
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Data Aggregation
49 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014 Courtesy: US. CDC
Data Analysis and Reporting
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Information Management
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E amples of comple it of data floExamples of complexity of data flowwithin disease‐specific
Health Information Systems
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HIV/AIDS Data Flow
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Active Pneumonia Surveillance
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National Public Health Data Flow
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IDSR Data Flow
Courtesy: Voxiva Inc., 2008.
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Justifying the Need for Appropriate Use of Standards in Health Data
Examples
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Need for Data ConsistencyPaper‐based System
Electronic System
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Need for Standards
Example below illustrates lack of use of Standardized VocabulariesQuestion: Cause of Death; Answer: (free text)
Need for Data Consistency
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Sample Extract of an analysis from over 10,000 electronic records
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A mixture of Techniques inA mixture of Techniques in Public Health Data Collection
and theNeed for Harmonization of Approaches
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Scannable Data Forms
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Scannable Data Forms
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Scannable Data Forms
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Electronic Data Collection Methods
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Surveillance Logbook
Rapid Data Collection Efforts
Data Transfer
ook
Surveillance
Tool
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Data Collection
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Electronic Medical Records
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Mobile Computing Devices
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Sense of Urgency for establishing Interoperable
Health Information Systems usingHealth Data Standards
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Sense of Urgency
• eHealth and HIS are essential for rapid detection and containment of infectious diseases respond to health emergencies anddiseases, respond to health emergencies, and delivery of healthcare to population at all levels
• Fragmented eHealth systems pose threat to health care delivery
• Multiple sectors within countries depend on
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• Multiple sectors within countries depend on accurate and timely health information for decision making
eHealth ‐ Effective use of ICT to provide and support health service delivery
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An Example of Health Information SystemA Set of Complex Sub Systems
HIS Sub Systems
Monitoring Policy
Allocated Length-Of-Stay Utilization
500
600
700
Allocated Length-Of-Stay Utilization
600
700
Allocated Length-Of-Stay Utilization
500
600
700
Allocated Length-Of-Stay Utilization
600
700
10%
20%
30%
10%
20%
30%
10%
20%
30%
10%
20%
30%
Data Warehouse
MonitoringEvaluationResearch
Extract, transform and load data into warehouse
Census Vital EventRegistry Surveys
Health Events & Risks
HealthServiceRecords
ResourceTracking
Policy
Resources
Processes
Information Services
0
100
200
300
400
500
Pa
tien
ts
Status 143 221 412 574 325 172 68 145
25% 50% 75% 100% 125% 150% 175% 200%0
100
200
300
400
500
Pa
tien
ts
Status 143 221 412 574 325 172 68 145
25% 50% 75% 100% 125% 150% 175% 200%
0
100
200
300
400
500
Pa
tien
ts
Status 143 221 412 574 325 172 68 145
25% 50% 75% 100% 125% 150% 175% 200%0
100
200
300
400
500
Pa
tien
ts
Status 143 221 412 574 325 172 68 145
25% 50% 75% 100% 125% 150% 175% 200%
-40%
-30%
-20%
-10%
0%
Variance 10% 4% -20% -21% 30% 8% 10% -17% -28% -13
B02 E02 E04 E15 H01 H02 H03 H04 H10 J03
-40%
-30%
-20%
-10%
0%
10%
Variance 10% 4% -20% -21% 30% 8% 10% -17% -28% -13%
B02 E02 E04 E15 H01 H02 H03 H04 H10 J03
-40%
-30%
-20%
-10%
0%
Variance 10% 4% -20% -21% 30% 8% 10% -17% -28% -13
B02 E02 E04 E15 H01 H02 H03 H04 H10 J03
-40%
-30%
-20%
-10%
0%
10%
Variance 10% 4% -20% -21% 30% 8% 10% -17% -28% -13%
B02 E02 E04 E15 H01 H02 H03 H04 H10 J03
73 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014
Modified after Health Metrics Network, 2007.
Data Collection Forms & Methods
Statistical Systems
FinancialSystems
General State of Health Information Systems
Indicator‐based Records Individual/Patient Records
Lack of Reliable & Timely Data Exchange
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RegistriesDiagnostics/Images Records
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eHealth
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eHealth Innovation Areas ‐ Examples
o Electronic Medical Records
o Mobile Health
o Decision Support Systems
o Electronic Health Records
o Personal Health Records
o Telemedicine (telehealth)
o Electronic Medication Services
o Health Knowledge
o Chronic Disease Management Services
o Patient, and Clinical management Systems,
o Distance Learning for health Professionals
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o Health Knowledge Resources
o Mobile Health
(eLearning)
o Health Information Systems
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Example of a Commonly Adopted Standard
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International Standards Road Traffic LightsJoint ISO/CIEStandard
ISO 6508:1999
CIE S006.1/F‐1998
CIE S006/G‐1998
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Example of a Widely Accepted Standard
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Standardization Process
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Simplified Standardization Process
StandardsDevelopment
StandardsMaintenance
StandardsAdoption
StandardsDevelopment
Organizations (SDOs)
Standards SettingOrganizations (SMOs)
Designated Standards Maintenance
Organizations (DSMOs)
National Authorities(Implementation, Policy, Governance)
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Identify Need andDevelop Standards
Review and Update Standards
Implementation of Standards
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Sample List of Standards
• ICD ‐ International Classification of Diseases
• SNOMED ‐ Systemized Nomenclature of Medicine
• DICOM ‐ Digital Imaging and Communications in Medicine
• HL‐7 ‐ Health Level Seven
• LOINC ‐ Logical Observation Identifier Names and Codes
• ISO ‐ International Organization for Standardization (TC 215 Health Informatics)
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(TC 215 – Health Informatics)
Generalized Categories of Standards
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Generalized Categories of Standards
• Health Data Standards (Primary area of World Health Organization)
o Data Standards, Information Content Standards, Information Exchange Standards, Entity/Person Identifiers Standards, Privacy and Security Standards
• Information Technology Standards (Primary area of International Telecommunications Union)
o Telecommunication, Machine to Machine
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Communications, and other Technical Standards related to ICT
Source: Public Health Data Standards Consortium; http://www.phdsc.org/; Accessed: June 3, 2012
Standards Relevant to Health Data
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Standards Relevant to Health Data
• Data Standards
• Information Content StandardsInformation Content Standards
• Information Exchange Standards
• Entity/Person Identifiers Standards
• Privacy and Security Standards
• (Functional Standards; Business Requirements)
85 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014
Source: Public Health Data Standards Consortium; http://www.phdsc.org/; Accessed: June 3, 2012
Data Standards
• Disease Classification
• Drugs Classification
• Laboratory Data Standards
• Digital Images• Digital Images
• Medicinal Products, Pharmaceutical Doses, Units, Common Terminology Services
86 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014
gy
Examples only(non exhaustive list)
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Data Standards
• Clinical Procedure Terminology
• Pharmacy Terminology
• Nursing/HRH Terminology• Nursing/HRH Terminology
• Payer Terminology
• Financial/Business Transactions Terminology
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Examples only(non exhaustive list)
Information Content Standards
• Healthcare Content
• Pubic Health Card
• Medical Device CommunicationCommunication
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Examples only(non exhaustive list)
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Information Exchange Standards
• Digital Images
• Pharmacy Business Transactions
• Country‐specific MandatedCountry specific Mandated Transactions Terminology
• Financial/Business Transactions Terminology
89 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014
Examples only(non exhaustive list)
Entity/Person Identifier Standards
• Patient Identifier• Provider Identifier• Employer Identification
Number• Country Identifier• Health (Insurance) Card
Issuer Identifier
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Examples only(non exhaustive list)
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Privacy andSecurityStandards
• Anonymization and PseudonymizationStandards
• Security Standards• Confidentiality Standards• Patient Consent Standards• Data Audit Trails
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Examples only(non exhaustive list)
Example of standards adoption
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Example of Standards for Digital Images
“facilitate the interchange of information between digital imaging computer systems in
medical environments”
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Source: http://medical.nema.org/standard.html; Accessed August 6, 2012
94 | WCIT 2014 - Guadalajara, Mexico - | September 30, 2014
Digital InterfaceUltrasound Device
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WHA Resolution 66.24eHealth Standardization and Interoperability
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Recognized the value of adoption of standards foradoption of standards for
interoperability
and Health on the Internet2013: Adoption of resolution on
eHealth Standardization and Interoperability by 66th World Health Assembly
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National efforts in eHealth
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National eHealth Strategy
Self Assessment Dimensions
• National e‐health strategy
• ICT Infrastructure
• Services for information sharing
• Standards for interoperability
• Governance and coordination mechanism
• Policies and legislation in place and enforced
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H l heHealth Standardization and Interoperability
efforts at WHO
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Standardization & Interoperability
– Established the WHO Forum on eHealth Standardization and Interoperability, p y,December 2012; now adopted as an annual Forum.
– Adoption of resolution on eHealth Standardization and Interoperability by the 66th World Health Assembly (WHA66.24)
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– Finalization of Minimum Data Set for Health Workface Registry
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Forum‐2012
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Forum‐2014
Rapidly changing global health landscape
and the avenue of possibilities for informaticians
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f
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Example 1Health Informatics Practice
Geospatial Science, and National Planning and Global Health Security
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Global Health Facilities Locator
DATA MANAGEMENT
CONCEPTCountry Ministries of Health+ WHO Validation Community Managed Data
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Country/RegionalSpace Agency
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Global Health Facilities Locator
DATA DISPLAY
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• Source: OpenStreetMap.org (data license: OpenStreetMap is open data, licensed under the Creative Commons Attribution‐ShareAlike 2.0 licence (CC BY‐SA); Special Recognition: Dr. Markus Neteler and his team, Fondazione E. Mach, Italy
Global Health Facilities Locator
DATA VISUALIZATION
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• Source: OpenStreetMap.org (data license: OpenStreetMap is open data, licensed under the Creative Commons Attribution‐ShareAlike 2.0 licence (CC BY‐SA); Special Recognition: Dr. Markus Neteler and his team, Fondazione E. Mach, Italy
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Example of Global Mapping of Health Facilities. Source: Neteler, 2012
• Linking GPS Location, remote sensing imagery, thermal maps, th d t GIS h fil t ll H lth F iliti
Potential Space Technology Applicationsto Global Health Facilities Locator
weather data, GIS shape files, to all Health Facilities
• Developing advance visualization tool for tele‐epidemiology, telehealth, and health emergency response
• Linking Health Workforce (Human Resources) and Health Commodities data
• Link information on Public Safety and other Public Health and
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Emergency Management entities
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Example 2Health Informatics Practice
and Mobile Computing Platforms
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Mobile Computing in Healthcare
o Electronic Health Records
o Personal Health Records
o Decision Support Systems
o Distance Learning for h lth P f i l
Examples
o Telemedicine (telehealth)
o Electronic Medication Services
o Public Health Surveys and Surveillance
health Professionals (eLearning)
o Chronic Disease Management Services
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Mobile Computing Devices
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Antenatal and Neonatal Care
iimprove access to quality
antenatal and neonatal care in
Ghana; Grameen
Foundation’s MOTECH project
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Source: http://www.grameenfoundation.org/what‐we‐do/health/maternal‐and‐infant‐health
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Eye care
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Source: http://www.1ohww.org/mhealth‐trends‐pairing‐needs‐challenges‐one‐healthcare‐worldwide/.
Dental care
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Source: WHO, 2011. mHealth: new horizons for health through mobile technologies: second global survey on eHealth.
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Environmental Sampling
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Source: CDC, 2007
Emergency ResponseChina, Sichuan Province
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Source: US CDC, 2005
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mHealth for NCDs Toolkit
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Source, WHO, 2013.
mHealth initiatives
*
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Source: WHO, 2011. mHealth: new horizons for health through mobile technologies: second global survey on eHealth.
* WHO Member States (193 members during 2011)
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Harmonization and Interoperabilityof Data and Systems
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Interoperability and Standards
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Example eHealth Architecture: ISO TR 14639
Framework, Architecture, and Standards
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A need for systematic approach to HIS design, implementation, and management
Measuring HIS Progress Over TimeFigure depicting Countries at Various Levels of HIS Maturity
2
3
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0
1
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H lth I f ti dHealth Informatics and the Science of Public Health
Need for common conversation amongSMEs and Informaticians
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SMEs and Informaticians
Public Health Science
+
Informatics Domain
Public HealthInformatics=
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Adoption of best practices from both domains
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Public Health Informatician Senior Public Health Informatician1. Supports development of strategic direction for public health informatics within the enterprise
1. Leads creation of strategic direction for public health informatics
2. Participates in development of knowledge management tools for the enterprise 2. Leads knowledge management for the enterprise
3. Utilizes standards 3. Assures utilization of standards
4. Assures that knowledge, information and data needs of project or program users and stakeholders are met
4. Assures that knowledge, information and data needs of users and stakeholders are met
5. Supports information system development, procurement, and implementation that meet Public Health program needs
5. Assures that information system development, procurement, and implementation meet Public Health program needs
6a. Manages Information Technology operations related to project or program (for public health agencies with internal IT operations)
6a. Assures effective management of Information Technology operations (for public health agencies with internal IT operations)
6b. Monitors Information Technology operations managed by external organizations
6b Assures adequacy of Information Technology Operations managed by external organizations
7. Communicates with cross‐disciplinary leaders and team members 7. Communicates with elected officials, policy makers, agency staff and the public
8. Evaluates information systems and applications 8. Assures evaluation of information systems and applications
9. Participates in applied public health informatics research 9. Conducts applied public health informatics research
10. Contributes to the development of public health information systems that are interoperable with other relevant information systems
10. Assures that public health information systems are interoperable with other relevant information systems
11. Supports use of informatics to integrate clinical health, environmental risk, and 11. Uses informatics to integrate clinical health, environmental risk, and
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population health population health
12. Implements solutions that assure confidentiality, security, and integrity, while maximizing availability of information for public health
12. Develops solutions that assure confidentiality, security, and integrity, while maximizing availability of information for public health
13. Conducts education and training in public health informatics 13. Contributes to progress in the field of public health informatics
Slide Courtesy: Denise Koo, Herman Tolentino. CDC, 2008.
Approach to strengtheningApproach to strengthening Health Information Systems
aligning efforts and role of multi‐sectors
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Dependencies of Health Information Systems
HISStakeholder
HIS Data Use for Better Health
Outcomes
Need for Multi‐sectoralEngagement
HIS Policy andPlanning
Information &C i ti
HIS
HealthDomainExperts
HIS Governance
StakeholderAlignment
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CommunicationTechnology
Human Resourcesfor HIS
Financing
Multi‐sectoral Engagement
• Ministry of Health
• Ministry of Finance
Examples of Partners within HIS Landscape
• Ministry of Finance
• Ministry of Education
• Ministry of Labor
• Ministry of ICT/Telecommunications
• Ministry of Infrastructure
P i t H lth S t
Coordinationis essential
to owning and sustainingHealth
Information Systems
t N ti l d
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• Private Health Sector
• Donors and Implementing Partners
at National and Sub‐national Levels
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Alignment of HIS Stakeholders and Strategies
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Alignment of Stakeholders
Health Information Activities
BetterHealth
Outcomes
(stakeholder’s positions vary depending on the model)
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Value Chain of Solutionsdriven by Public Private Partnerships
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Alignment of Strategies
Health Information Activities
BetterHealth
Outcomes
(stakeholder’s positions vary depending on the model)
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Value Chain of Solutionsdriven by Public Private Partnerships
Health Information System Alignments
Health Health
Science
Appropriate
InformaticsApproach
Impact
Reliable Data to Results
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Human Capacity
Sustainable Approach
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Key Messages
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Key Messages
• Reliable Health Information Systems are essential for better healthcare delivery and better health outcome
• Functional Health Information Systems depends on harmonized and interoperable data elements between and within systems through adoption of Health Data Standards and IT Standards
• Strengthening Health Information Systems depends ti l hi lti t l t
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on national ownership, multisectoral engagement, appropriate use of ICT, and adequate human capacity