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Data Systems Web Integration:A Public Health Informatics
Approach
AJ Rosario, M.D., M.P.H.Vishwa Rao
Bureau of EpidemiologyOffice of Surveillance and Public Health PreparednessHouston Department of Health and Human Services
February 1, 2006
Outline
Introduction Public health practice and standards Data standards in public health Public health informatics Public Health Information Network (PHIN) Current state of Data Systems in HDHHS Data Systems Web Integration Project IT Requirements Summary Q & A
The Challenge….
If public health as a field is to become more effective, public health professionals need timely, quality information, better ways to communicate data and information, and better tools to analyze new information. (Friede et al., 1995).
Public Health Needs
Much of what we do in public health is based on the data and information we gather, analyze and disseminate.
Efficient access to this data is vital to develop sound public health policy and programs to ensure the health of the nation, and the world.
Public Health Practice
Information component
Data Data Data
Wisdom
Knowledge
InformationInformation
Source: http://www.airdisaster.com/
Tenerife Air Disaster
March 27, 1977: Two Boeing 747 airliners, from Pan-Am and KLM, collided on the island of Tenerife, killing 583 people
Causes: Non-standard messages for take-off between KLM pilot and control tower, squelched radio messages
Led to sweeping reforms including use of English standard phrases between pilots and control towers
Polio in 1988Polio in 2004
Polio endemic areas in red From 350,000 cases in 1988 to 1255 cases in 2004 Factor: Certification-standard surveillance and lab
networks
WHY DO STANDARDS MATTER?
STANDARDS
Data Standards in Public Health
Sources of Data in Public Health
Epidemiologic investigations By-products of clinical activities Administrative databases Environmental monitoring School system databases Other related organizations
Communication Components
Words used in a conversation
The way we put words together
The context where we have the conversation
Figure of Speech
Conversation Component
Data Standard Equivalent
Words Vocabulary
Grammar Format
Context Information Architecture
Source: O’Carroll, Public Health Informatics and Information SystemsChapter 11, Data Standards in Public Health
Data Standards
source recipient
transmission
12
3
INFORMATION IN STORAGE
MESSAGE
CONTROLLEDVOCABULARYA STORAGE
FORMATB MESSAGING
STANDARDSC
Vocabulary - Example
The gallbladder was enlarged and red with pus easily expressed through the site of rupture
T-63000 Gallbladder
M-71000 Enlarged
M-01780 Erythematous
M-36880 Purulent Discharge
M-41611 Ruptured Abscess
SNOMEDSource: O’Carroll, Public Health Informatics and Information SystemsChapter 11, Data Standards in Public Health
Data Standards
source recipient
transmission
12
3
INFORMATION IN STORAGE
MESSAGE
CONTROLLEDVOCABULARYA STORAGE
FORMATB MESSAGING
STANDARDSC
Storage Format - Examples
Microsoft Office formats– Word “.DOC”– Excel “.XLS”– Powerpoint “.PPT”
ASCII Text– Comma-delimited– Tab-delimited
SAS “.SAS”
Data Standards
source recipient
transmission
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3
INFORMATION IN STORAGE
MESSAGE
CONTROLLEDVOCABULARYA STORAGE
FORMATB MESSAGING
STANDARDSC
HL7 Messages
Laboratory
Pharmacy
Admission
Imaging
Finance
HL7 Messages
Standards Development
OVERLAPS IN COVERAGE
World Health Organization International Classification of Diseases or ICD, WHO Adverse Reaction Terminology or WHO-ART
American College of Pathologists Systematic Nomenclature for Medicine or SNOMED
Regenstrief Institute Logical Observed Identifiers Names and Codes or LOINC
Food and Drug Administration Coding Symbols for a Thesaurus of Adverse Reaction Terms or COSTART
American Medical Association Current Procedural Terminology or CPT4
International Conference on Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH)
Medical Dictionary for Regulatory Activities or MedDRA
Electricity Worldwide
Transformations
DATAINFORMATION KNOWLEDGE
Exchange of Information
Human-human Human-computer Computer-computer
SEMANTIC INTEROPERABILITY
Interoperability
Occurs when some degree of compatibility exists among all elements that must exist for some purpose
Based on existence of a single common conceptual view– Embodied in architecture or design– Implemented through common protocol
Source: Carnegie-Mellon Software Engineering Institute
VeterinaryInformatics
Clinical Informatics
Medical Informatics
Bioinformatics
Health Informatics
Nursing Informatics Dental
Informatics
Public Public Health Health InformaticsInformatics
InformaticsInformatics
Public Health Informatics
Public health informatics is the systematic application of information and computer science and technology to public health practice, research and learning.
What in informatics is important to
epidemiologists?
Data standards
Vocabulary standards
Messaging standards
Technology standards
Interoperability
Data models Relational databases
Top 5 reasons why informatics is important to
epidemiologists
4. Increased need to share data and information in outbreak and emergency situations – efficiently and effectively
– West Nile– Hurricanes
5. Increased reporting and accountability– Programmatic goals management
Top 5 reasons why informatics is important to
epidemiologists
3. Increased use of technology– Electronic health records– Electronic laboratory systems– Communication systems– Digital technology
Top 5 reasons why informatics is important to
epidemiologists
2. It can make your life easier– Less duplication of data collection effort– Data usually takes less cleaning to be useful
(especially when structured data entry is used)
– Standardized datasets can be merged easier– Organized and structured datasets are easier
to use and validate– Controlled vocabularies clarify meanings (less
ambiguous)
Top 5 reasons why informatics is important to
epidemiologists
1. We can do it the hard way or the right way, but either way the application of information technology to public health practice is inevitable
(P. O’Carroll, 2002).
Health Information Standards
Building blocks of effective information systems
Essential for efficient and effective public health and health care delivery systems
Foundation upon which innovations in health IT are built
Setting the stage…
The first two topics provided the groundwork– Why standards are important?– What are public health informatics standards?
Next Step: – What is the Public Health Information
Network (PHIN)?– How can it be useful to HDHHS?
Health Department
Public HealthLab
CDC and OtherFederal
Organizations
Public
VaccinationCenter
AmbulatoryCare
Hospital orHealth Plan
Investigation Team
Law Enforcement and First Responders
RXPharmaceutical
Stockpile
Early DetectionSources
The Many public health “players”
- Need rapid communication!
- How?
What is PHIN?
CDC’s vision for advancing:– Information systems
• located in the many organizations that participate in public health
• making them “fully capable” and “interoperable”
What is PHIN?
Given the vision for PHIN:–A framework is needed that has:
• Selection of relevant information standards
• Description of minimal IT system capabilities
• Development of standardized applications (software)
What is PHIN?
Given the vision for PHIN:–A framework is needed that has:
• Selection of relevant information standards
–For the content itself (the data)»Vocabulary Standards
–For the structure of the data»Data modeling standards
What is PHIN?
Given the vision for PHIN:–A framework is needed that has:
• Selection of relevant information standards
• Description of minimal IT system capabilities– Secure information transmission
– Use of standard directory of users
– Operational policies and procedures
– Security and privacy requirements
What is PHIN?
Given the vision for PHIN:– A framework is needed that has:
• Selection of relevant information standards
• Description of minimal IT system capabilities
• Development of standardized applications (software) for use throughout the Public Health community
What is PHIN?
Standardized applications (software solutions) are being developed in the following areas:
1. Early Event Detection
2. Outbreak Management
3. Connecting Laboratory Systems
4. Countermeasure / Response Admin
5. Partner Communications and Alerting
6. Messaging and Vocabularies
Data Systems Integration
In deciding what our system will need to do…
– In general:• What to capture: Epidemiology• How to capture it: Public Health
Informatics
Current State of HDHHS
Data Systems Web Integration Project
IT Deliverable Details
IT Deliverables
Stakeholders Information Systems Requirements Architecture of Web Portal Deliverables Features Delivery Maintenance
Stakeholders
– End Users• Executive Team• HDHHS, BoE, Partners (Hospitals, Schools, others)
– Data Team• Requirements • Design specifications • project management – schedules, reports
– Delivery Team• Implementation specifications• Development• Delivery• Support & Maintenance
Information Systems Requirements
Integrated Web Portal– Single Web console Integrates several applications– Multiple data feeds from variety of sources– User Role based Authentication & Authorization
Customized information– Query based Custom Reports, Ad-hoc Reports, EpiInfo Reports– Spatial Analysis
Monitoring– Alerts & Events: Critical Events, Warnings, Information– Notifications: emails, paging
Infrastructure– Fast Response time– Reliable Backup and Recovery
Architecture - Web Portal http://www.hphin.com
Stage 1
Hospital 2
Hospital 1
Grants, Reports Management
Internet
hmmrs
rods
casefile
Oracle
Sql 2000
Houston Public Health Information Network (HPHIN)
3-tier architecture – Proposed
App server
Internet & Intranet access
Intranet access only
Web server
DB server
eHars
iWayDocument Management
Crystal Reports, WebFocus
Patient & Infrastructure Management
STAGE I
City of Houston Http://www.hmmrs.net
Architecture - Web Portal http://www.hphin.com
Stage 2
Hospital 2
Hospital 1
Grants, Reports Management
Internet
hmmrs
rods
casefile
Oracle
Sql 2000
Houston Public Health Information Network (HPHIN)
3-tier architecture - Proposed
App server
Internet & Intranet access
Intranet access only
Web server
DB server
eHars
iWayDocument Management
Patient & Infrastructure Management
CDM
CDC web access
NNDM
- City of Houston CDR tables- CDC CDR tables
- Application Server- Messaging- Analysis- GIS
PHINMS Client
CDC NEDSS System
STAGE II
STAGE I
PHINMS Server
CDC BioSense System
- Application Server- Messaging- Analysis
- City of Houston data- CDC data
City of Houston Http://www.hmmrs.net
Crystal Reports, WebFocus
Internet
City of Houston
CDC
Deliverables
Portal – http://www.hphin.com– Integrated Applications (3-tier)
• HMMRS, RODS, eHars, casefiles
– Infrastructure• Servers - Primary and backup• Databases – Oracle 9i, SQL 2000• Hosting – intranet and internet sites
Project Duration – 12 months Resources
– Data Team – BoE: AJ Rosario & Vishwa Rao– Delivery Team – BIS:
Features
– Integrated Web Console– Surveillance
• HMMRS, RODS, eHars, casefiles
– Grants: • PHP, HIV/STD, EPHTN, NEDSS, MMP
– Reports• Customizable reports based on queries• Hard coded reports
– Tools• Contacts, Calendar, Document management
– Notifications• Email, paging, Trouble tickets
– Secure Access• Encryption, Secure Socket Layer, Digital Certificates
Delivery
Acceptance tests– Meets minimum criterion– Application and stress tests– End user trails
Delivery– Installation on production site– Source code– Help manuals
Maintenance
Hosting– 24 x 7
Enhancements– Steering Committee Recommendations– Trouble Ticket System
Support– Daily and periodical backups– Telephone and Email support
Summary
Whether we choose to:– Use a PHIN applicationor– Use PHIN recommendations as we build
our own system:
We will be facilitating data sharing and integration with other Public Health systems
Questions?
Thank you…