Enterprise Architecture: Treating Health Information System as an EnterpriseMEASURE Evaluation
Similar to Summary presentation of day one FAO experts workshop on practical applications on Whole Genome Sequencing (WGS) for food safety management (20)
2. Game changer?
Real-time application is key
Advantage to exchange a common language
Already existing good epi system and real-time surveillance system –
extremely useful, but are they essential?
Simple food-testing is available everywhere
Step-by-step approach can be taken with things that exist
Political will to improve food safety – useful (in other words, countries that
consider food safety a low priority – a challenge)
3. Case studies to highlight benefits
Why WGS is better than traditional methods?
Simpler*
More sensitive/precise/specific (inclusion/exclusion of cases in clusters, “matches”)
Faster (minimize the negative impact)
Concrete information/evidence for actions, improved confidence
Handling of WGS data is easier than PFGE*
Performing is easier*
Low cost (if high volume)
Application flexibility
Why WGS is beneficial for developing countries?
Easy to implement*
Helps build confidence of the competent authority at the national level
Global identification of the problem can help local identification/intervention
4. Possible pitfalls
Realistic descriptions of possible pitfall needs to be in the paper
Essential infrastructure to employ WGS – internet connection/speed
Are there any prerequisite activities to conduct before employing WGS?
Acquiring and analyzing exposure data – limiting factor
Interpretation of the data – bioinformatics capacity development needs
Challenges in traditional methods remain as challenges in WGS (epi, food investigations, sampling, etc)
Obvious technological challenges with new methodologies
Cost (if low volume)
Trust issue – Is your data credible? What will happen to my data?
Fears of global data sharing – trade barriers?
Needs to highlight to educate that earlier intervention is a clear benefit in the long-run, with minimized adverse
health impact, reduced economical impact, fewer lawsuits, less impact overall
Who will have responsibility for global-level monitoring and action?
Consideration on different level of development
5. Data-sharing
Benefit of global data-sharing – for developing countries?
Raw data sharing – useful, but “what if”
Confidentiality issue
Ownership issue – my isolates, my sequenced data
Data submitters + Data mediator(s) – blinded way
Not very simple for WHO to be a “global submitter/mediator – still a need for international
hub
Possibility with academia/universities as data mediator(s)
Issues with meta data – what would be “minimum” requirement?
Global vs local
“Draft” data sharing possibility – for real-time actions
6. WGS implementation challenges
Resources
Perception of high cost of the new technology
Still high cost in developing countries
Parallel with traditional tests – double/triple the costs?
New methodologies
Training and trained personnel needed
Sensitization needs for higher authorities and politicians – why do we need
WGS?
Global data-sharing: consequences – uncertain - leads ones to keep data
locally
7. Capacity building
Basic food safety capacity building still very relevant
Health surveillance
Food monitoring
Foodborne illness investigations
Food inspection
Traceability/recall
Risk analysis
Trainings vs providing “good practices” + trainings
Guidance on harmonization
8. Role of international organizations
“Convening power”
Providing fora to discuss global issues – governance issues, legal issues,
confidential issues, IPRs
“Good practice” guidelines for harmonization
Validation of the data? Facilitation of sharing data
Coordination of global cluster investigation?
Collaboration with major relevant initiatives to facilitate synergies
Networks: PulseNet international, ICOPHAI (GenomeTrakr partnership) – one health
Databases (NCBi/ENA/DDJ)
Consortium: GMI, etc
9. Considerations
Multi-agency collaboration – essential (food and health)
Multi-sectoral collaboration – extremely useful (public, private, academia,
etc)
With appropriate governmental policies, WGS can help to limit the impact
of outbreaks through faster and more accurately link outbreaks with food
source and help
increasing food safety and public health,
minimizing the impact of contaminated food on trade and
minimizing food waste