While setting the stage of the new edition, the objectives of the event remain the same and are the foundation of the growing international reputation of our congress: free access to attendees coming from companies that own a laboratory, showcase of consolidated and new solution providers, agenda composed of content rich presentations and interactive sponsored workshops, and stimulating networking sessions.

“The laboratory scientific data is at the center of the discussion and we´ll be looking for providing food for thoughts while covering the data life cycle phases.” Says Roberto Castelnovo organizer of the Paperless Lab Academy together with Isabel Munoz.

The electronic data life cycle, a topic that was already at the center of the attention at the Paperless Lab Academy of last year (#PLA2018), will still occupy a central role in the next edition.
Briefly, this article aims at looking at the eData lifecycle itself and at its four major phases, largely known by those who attended last year’s edition, named “eConnect, eManage, eDecide, eArchive”.

 “eConnect”

• Effective workflow based on self-documenting data capture strategies, to ensure collection of raw data
• Usage of instruments able to connect to the current lab platforms, to generate a paperless data management process and reduce risks
• IoLT, Internet of Lab things
• Smart Laboratory into the industry 4.0

“eManage”

• Capability to deliver high quality results on timely manner generate meaningful information from trusted data.
• Enabling of good practices and compliance of tools and processes
• Facilitation of the interdepartmental communication
• Coordination of the laboratory resources

 “eDecide”

• Turn data into actionable insights
• Data analytics
• Comprehensive Dashboard
• Simplification and shortening of data review and decision making processes
• Creation of a “control room” within the laboratory, where scheduling changes are adjusted to ensure the activities are completed on time and on budget

“eArchive”

• Essentials to secure long-term multi-departmental archiving
• Reduction of difficulties to find the right info and the right data
• Data protection – protect the data value and the data consistency
• GDPR compliancy

Companies like Gartner and Accenture, international press like Scientific Computing World have defined the Paperless lab Academy as the best European congress on lab informatics, a learning platform where to find answers to nowadays concerns and discover what the lab of tomorrow will be made of. The Paperless Lab Academy organization team is proud of the reputation that the event has acquired over the years and will keep on working hard to maintain the same level of quality for the years to come.

Follow us on Linkedin and Twitter and subscribe to our newsletter to discover the theme of the VII edition and to be always up-to-date about the news and info related to the event!

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Satisfaction Survey results of the 6th edition

As for any process oriented project, the learning lesson session is crucial for continuous improvement. This is why the outcome of the satisfaction survey is for us so important. We want to make sure that our priorities while planning the new edition are still aligned with the expectations of the attendees and review our strategy is where required. 

The new PLA management team confirms one more year success. From 3 years in a row in Gran Hotel Don Jaime Castelldefels, Barcelona, the event moved to Italy, lake Maggiore at the Gran Hotel Dino and meet the challenge. 

• 80% new visitors to the event
• 20% increase attendees from last year
• 65% visitors vs 35% exhibitors 
• Increase of interest from non-pharma companies sharing same scientific data management needs

Visitors comment very positively the right balance of content and sessions as well as the multiple topics covered. #blockchain #digitaltwin #eArchive #unstructureddata #dataintegrity #dataanalytics #ontology #masterdata #metadata #bigdata #allotropeframework 

I really enjoy discovering the topics that my company will start discussing in the future and benefit from the sharing of users experiences. The mix of today problem solving approaches and introduction to the technologies to be potentially implemented in the lab of the future like the blockchain, makes this event very special.

• 17 plenary sessions
• 14 sponsored workshops 
• 6 hours of networking opportunities
• dedicated app to interact with peers, vendors and presenters
• 1 interactive Panel forum discussion see " food for thoughts from the PLA2018 interactive panel forum

From the satisfaction survey: Which of these objectives did you reach at the event? 

The PLA2018 was my first visit to PLA. I’ve been actively involved in implementing LIMS and KM systems for R&D for 8 years and working on a new automation initiative. It is an excellent conference. I have been stimulated and excited by it. Thanks!

From the satisfaction survey: How much did you get from the workshops?

Wants to know more register to our newsletters or become a member of our LinkedIn group

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by Mark Newton, Principal at HeartlandQA, mark@heartlandQA.com

To a careful observer, the realm of Data Integrity currently has signals that indicate which direction the regulators—and hence, the industry—will be moving.  My crystal ball is currently aglow with these future visions, in no particular order

1. The Data Periodic Review is coming

The subject was introduced in the recent MHRA Final Guidance for GXP Systems (1).  I discussed this topic last October at the ISPE/GAMP Annual Meeting in San Diego in my presentation on Data Integrity metrics.  It is a logical development:  GAMP 5 has a system lifecycle, and includes a Periodic Review to assure that systems remain in a state of compliance; GAMP Records & Data Integrity defines a Data Lifecycle, working in parallel to the system lifecycle.

So, if you have two parallel lifecycles, and one has a periodic review, why would you not expect the other (parallel) lifecycle to have a periodic review? 

Only makes sense.

That was the logic for my presentation point at the ISPE/GAMP 2017 Annual meeting, and MHRA sealed the deal with their final guidance. 

Write it down. Data Periodic Reviews are on the horizon!

2. Data Integrity remediation and governance will find its way into research

Gupta (2) reported that 40% of clinical researchers were aware of at least one instance of misconduct that was not reported. Wow!

So, there is widespread misconduct in research—no real surprise there.  The FDA alone has written over 130 Warning Letters and 483s in the past 3 years due to integrity violations, and GxP labs are a small percentage of labs compared to research of all types.  Add the fact that research labs have little oversight and no regulatory inspections—all making fraud more difficult to expose. Taken together, these factors (more labs, less oversight, no inspections) indicate a huge issue to be uncovered.

Detection capabilities have improved–inspectors are learning forensic inspection techniques and applying them with great success.

What is missing?

An organization with a vested interest in vetting the research to protect themselves, and the willingness to borrow and use forensic techniques from regulators.  Perhaps NIH, a publisher, or a university/medical center.  Once they conduct forensic data evaluations, misconduct is exposed, and the research data integrity avalanche starts rolling.

Once rolling, it will be big. Very big.  And expensive.  You have been warned.

3. Data Provenance will gain importance

Think beyond our current focus that data be recorded accurately (along with metadata) at the time of collection.

The next logical step is to assure that we have the “chain of data” from the source (raw) data all the way to where that data is used to make a business decision.

This chain is probably documented now in validation/process documents, known only to the validation team and not to the users who are making the decisions.  The next step is to put that chain (provenance) in a format available to the business user at decision time or provide that user with a link back to the source data. At a minimum, business users should be aware that they are about to make decisions with a data field(s) that came from a different source.

Blockchain has been suggested as a possible solution for this issue, and it does have potential, since it embeds transfer history into the blockchain; however, applications would need to extract the history from the chain and make it available to the user at the decision point.

Don’t expect people to jump to another app to read the blockchain provenance—isn’t going to happen.

Time to plan for complete data provenance, available to the business users who make decisions, at the time the data supports a regulated decision.

In all of these, we are drawing conclusions from events already happening around us.  Be wise and start planning now.  Avoiding future change only makes it more expensive—and harder to take.

REFERENCES

• Medicines & Healthcare products Regulatory Agency (MHRA). ‘GXP’ Data Integrity Guidance and Definitions. March 2018.https://mhrainspectorate.blog.gov.uk/2018/03/09/mhras-gxp-data-integrity-guide-published/
• Gupta, Ashwaria. Perspectives in Clinical Research. 2013 Apr-Jun; 4(2): 144–147.URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3700330/ 

Mark Newton (retired – Associate Sr Consultant QA at Eli Lilly  ) has 30+ years of experience in pharmaceuticals as a laboratory
scientist, then as a QA professional, supporting LIMS systems, standalone lab instruments, lab informatics and metrics, validation, quality systems, and data standards.  Has been deeply involved in data integrity and data integrity training to people in QC Laboratories, Manufacturing, and IT.Current Chair of the ISPE Global Documents Committee
– Current co-leader of the ISPE/GAMP Data Integrity Special Interest Group
– Co-author for “GAMP Guide: Records and Data Integrity” April, 2017
– Co-author of “Harmonizing USP <1058> and GAMP for Analytical Instrument Qualification”  Schuessler, Newton, Smith, Burgess, McDowall. Pharm. Engineering, Jan/Feb 2014
– Co-editor of the GAMP Good Practice Guide “A Risk-Based Approach to Compliant Computerized Laboratory Systems” Nov. 2012.

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from left to right:

• Mark Newton – Principal at Heartland QA – retired Associate Sr Consultant QA EliLilly
• Rik Pepermans – It Innovation lead, IT R&D at Unilever
• Marco de Groot – RT&D Data and Information Manager at DSM Biotechnology Center
• Maud Destree -e-Analytics Operations Manager at UCB Pharma
• Patrick Pijanowski – Managing Director at Accenture Scientific Informatics Services

The discussion aimed to develop further on the central theme of the edition, the four main layers of a laboratory paperless strategy: ” eConnect, eManage, eDecide, eArchive” or also called 4 e-data lifecycle based themes 

 see: NL42 article published in the Scientific Computing World annual review ” Building a Smart Laboratory 2018″

Fact is that another new initiative implemented this year, a paperless one, the new PLA App,  has allowed a stronger involvement of the audience during this session . The App has eased the process of collecting in realtime manner answers to 4 questions from the audience.

1. eManage – Business drivers to facilitate data lifecycle 

The discussion was an excellent exercise looking for identifying the major business drivers to facilitate lifecycle information chain and which could be the major roadblocks. Interestingly enough along with the technical limitation due to inherited legacy infrastructure and systems, the lack of change management mindset appears being a strong roadblock. Individual resistance to changes and lack of corporate leadership in driving the change are important risks to be assessed carefully when defining a new project. Of course those risks could be mitigated with a clear visibility on the benefits as well as involvement and efforts required.

From there the discussion went challenging the possibilities of considering Blockchain as a potential alternative to improve lab operations, reduce costs. ideally the self regulation aspect of the Blockchain could also potentially be of very valuable support to reduce the validation efforts when implementing new solutions, updates and upgrades…

Question: Which are the major business drivers to facilitate data lifecycle, information chain?

A. Inconsistent existing technology systems

B. Organizational silo mindset. Lacking to adopt change management processes

C. Not sure why a life cycle based approach will benefit anyway

D. Lack of cross functional management support

 

see: “The Promise of Blockchain and the Future of Scientific Data Management” Pat Pijanowski, Accenture presentation at PLA2018 

2. eDecide – The Cost and Pain of Information Theft 

When comes to access enough information for the business decisions making several concerns raise up. Am I getting the right and complete information to make decisions? Fact is that ideally, multiple data coming from multiple data sources should arrive in one single dashboard to facilitate a full view. Yet how can we completely trust the data analytics when raw data can´t be assessed anymore since their pathway up to the last system layer has disabled the access to the source of the data. how much can we trust that each interface up to last system layer has enable the integrity of the data.

 3. eArchive – Archives and Data Standardization

Question: Do you re-use archived data?

A. yes

B. never

C. sometime

D. for regulatory requirements only

 

see: “GEAR @ Bayer – completing the data life cycle through a living archive” from Mr. Dennis Della Corte, Bayer presentation at PLA2018

4. eConnect – Robust electronic records and transfers

Question: Does Quality have a voice in the purchase decision?

A. yes

B. no

C. not sure

 

“Great  content and organization. I think the App is really useful and that you could increase its use to get more insight from voting”

“Great app! I loved the app, a fantastic concept and excellent way to create notes about specific topics in one area”

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After 6 years, the event is still considered to be the best learning platform for all organizations involved in running, consolidating, integrating and simplifying laboratory data management processes.

The central theme of this edition? “Empower your eData lifecycle”, leveraging on four key macro areas: eConnect, eManage, eDecide, eArchive.

A long and relevant list of partners chose Paperless Lab Academy 2018 as a stage to reach their audience and to present the latest tools and methodologies in the market.

Dexstr and Soft&Labs, Lonza and Thermo Fisher Scientific attended as premium sponsors

– through workshops and 1to1 sessions at their booth, they presented the latest innovations and systems developed by their teams.

Dexstr introduced Inquiro, the first system that combines automatic metadata generation and intelligent annotation with
scientific search for R&D environments, in order to automatically capture unstructured data, from any source, in any format. Dexstr represents a new wave of
suppliers that have recently joined the laboratory informatics market with new technologies and innovative solutions.

Lonza focused on the ability to capture data to make better, more efficient
decisions, discussing the value of interfacing, the technical aspects of having systems exchange data and the validation of interfaces. Lonza confirms its unique portfolio of solutions in the microbiology environment.

In their workshop, Thermo Fisher Scientific introduced a platform that enables the delivery of application-specific modules, which contain industry-standard features and capabilities, so that businesses can select the functionalities they need.

The large combination of solutions provided by Thermo, including the recent acquisition of Core Informatics, enables customers to implement a solution for the entire value chain, from R&D to QA/QC.

Worth mentioning also all the other sponsors, that contributed to making the event a success.

GOLD: Agilab, Agilent, Waters, Biovia, Adiuto, Labware, PerkinElmer, CDDVault
SPONSORS: Stratec, ICSA, LabGuru, Optibrium, Vivenics, Global Value Web, Wega, ACD LAbs, ZIFO, Accenture, AdeoData, Osthus, OpenCo, Caliber

Sponsors, yes, but not only: speakers and presenters also joined the event and brought their added value through presentations in plenary sessions.

Accenture, key-note speaker of the first day with an interesting presentation about Blockchain and its usage in scientific data management. This disruptive technology which is already implemented in other markets may become a new era of IT solutions for scientific data management. After the initial implementation in the financial market, the food industry has started introducing the blockchain concept to secure the full traceability of goods. Part of the information that can be secured is related to the quality control activities performed throughout the supply chain. Today, we see this technology as a long-term future implementation. The reality may be largely different and impact the laboratories much sooner, as we have learnt for other technologies

Sanofi showed how to manage unstructured big data for document search and retrieval. The era of big data has started a while ago. Research projects are generating an immense amount of data, thanks to technologies that were cutting-edge few years ago and are now in th hands of thousands of researchrs. The result is a huge amount of unstructured data that needs to be analysed, interpreted and used to discover new drgus; Hovione, who has presented how the quality control labs become part of the production chain and generate value for the company by ensuring high product quality the Dutch Data Protection Authority, represented by Sophie Van Meulen, who introduced the impact of the new GDPR for science. The story was very personal, demonstrating how any of us can be impacted by the use and sharing of personal information, particularly when they are related to our health.

A large number of companies with large reputation in the industry decided to share their innovations with the attendees: lab managers, IT specialists and policy makers from all over Europe, US and India who came to the event saw PLA as eye opener in the field of lab automation and have now concrete tools to work better and faster in the organization.

The number of registrations to the event is increasing year over year, confirming that PLA is the right place to learn how to introduce paperless processes in the laboratories, share ideas with peers, experts and providers. A large number of new visitors confirm that there is large interest in the market for this event.

PLA2018 confirms that the original strategy based on three pillars is the most successful: high-level content agenda, hosted workshops and free entrance for visitors are allowing PLA to be the number one event in Europe for laboratory automation and information management.

So now, in the wake of this recent success, we’ll just have to wait and get to know all the details regarding the next edition – Paperless Lab Academy 2019! In the meantime, the organization is planning several digital activities, monthly newsletters and webinar series, to maintain the momentum and keep facilitating food for thoughts for your paperless lab projects.

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Born in 2001, Adeodata aims to be a partner in defining methodologies, guidelines, procedures and activities for the Computerized System Validation, following GAMP 5 and PIC/S 011 guidelines.

Adeodata provide consulting services to several Life Science companies of utmost importance in the Italian, Swiss and international market, working in the pharmaceutical, APIs (Active Pharmaceutical Ingredients) and medical devices fields.

Adeodata core business areas are:

• Computerized Systems life cycle: Validation Plan, URS, suppliers audit (for systems and/or services), risk analysis, drafting and execution of test protocols (IQ/OQ/PQ), Validation Report for:
• Production (ERP, MES, SCADA, PLC, maintenance management SW)
• Serialization (Track & Trace – End to End)
• Labs (LIMS, CDMS, HPLC, IT infrastructures, EDMS)
• Clinical research and pharmacovigilance (including clinical databases and Remote Data Capture systems)
• Data Integrity Assurance in compliance with GxP, EU Annex 11, FDA 21CFR part 11, ICH Q7, including Remedial activities and Data Governance
• Plant, utilities, equipment and systems qualification
• Instruments calibration (also using paperless CMS)
• Specialized training

Starting from 2011, we boast an ISO 9001 certified quality management system, upgraded to the new 2015 revision in November 2017.

For any other info, please visit their website www.adeodata.eu or write to info@adeodata.eu.

Adeodata Offices addresses

In Italy:

Adeodata S.r.l.

Operational and administrative site: Via Cavour, 2 – 22074 Lomazzo (CO) c/o ComoNExT S.c.p.A.

Registered office: Via Carducci, 32 – 20123 Milano

Operational site in Parma: Piazzale Arturo Balestrieri, 31A – 43123 Parma

Phone number +39 02 96720933

In Switzerland:

Adeodata SA

Via Calgari 2 – 6900 Lugano

Phone number +41 91 9803318

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Once again, our Premium Media Partners, Scientific Computing World and Editrice Industrial and their 2 dedicated portals Labworld.it and Industrychemistry.com are facilitating an exhaustive presentation of the Paperless Lab Academy 2018 Sponsors in English and in Italian respectively. Our sponsors are making possible to maintain the free access to attendees.  Solutions and services providers of the Lab informatics market are given the opportunity to introduce themselves and present their latest offering.

The event has become one of the best showcase where to meet and discuss the future coming technologies to the lab, clarifying basic concepts like web-based and SAAS, metadata and master data, electronic signature and CFR21/11, data archival and data backups but also discover what´s boiling these days, as  the digital twin, the General Data Protection Regulation ( GDPR) May´s deadline, blockchain, Internet of Lab things….

Click the icons to read the corresponding article

Above all, the event has the ability to attract well known international leaders in the market and an impressive long list of new comers. They might come from US or India yet new to the European market, they might come from Europe, young company with fresh ideas and innovative alternatives. They might also be very dedicated to a concrete area of the R&D laboratory for new molecule design. They might propose a solid solution for microbiology quality control or a dedicated tool for managing unstructured data or in the contrary propose a full portfolio of assets covering the complete data life cycle.

See all sponsors interactive workshop proposal for the PLA2018 – here

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StarDrop,  an integrated suite of software, enables you to deliver optimally balance, successful compounds, fast.

Successful compounds require a balance of many different properties: potency, ADME, safety… StarDrop guides you through this ‘multi-parameter optimisation’ challenge to rapidly explore design strategies and target compounds with the best chance of success, saving you time and resources by synthesising and testing fewer compounds.

StarDrop’s unique approach to multi-parameter optimisation integrates data from many sources to prioritise compounds for your project’s specific goals. This takes into account the inherent uncertainty in discovery data to identify when compounds can be confidently distinguished and avoid missing valuable opportunities.

StarDrop’s core features can be extended with optional plug-in modules that provide comprehensive capabilities for compound optimisation, including: Predictive models for ADME properties, P450 metabolism and toxicity; automatic QSAR model building; 3D structure-activity relationships; and de novo design to stimulate the search for new optimisation strategies.

As an enterprise platform StarDrop can connect seamlessly with your models, informatics methods and databases. By providing user-friendly access to these resources, it makes project management quicker and simpler.

User-friendly querying of databases enables you to create, share and run structured queries, returning results directly into StarDrop ready for visualisation and analysis. Connection to additional data sources like CDD Vault, BIOVIA’s ScienceCloud or Certara’s D360 are available as free extensions. Search third-party commercial databases for screening compounds or select building blocks for synthesis and retrieve biological data from public databases, such as ChEMBL and PubChem.

StarDrop enables expertly prepared 3D docking and alignment models to be linked with data visualisation, 2D SAR analyses and predictive models in a single, elegant environment and is compatible with software from all the major computational chemistry providers.

Optibrium sponsor of the PLA2018 edition will be available for further information during the event. 

To learn more visit: www.optibrium.com/stardrop

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In the new era of the internet of things and artificial intelligence, the majority of the laboratories have still a long way to go moving from paper based processes to paperless ones.

At Paperless Lab Academy®, we have been working for the past six years in building a learning platform to leverage the cultural awareness of the organizations on how to move to less paper-based business processes. Less becomes then more. When well designed and successfully implemented, a digital transformation project reduces data integrity risks, improves effectiveness, drives change management, increases return on investment while shortening time to market.

For the 6^th edition, we propose a journey through the whole data life cycle focusing on what we have identified as the 4-major areas of attention of such digitalisation projects. Those are forming part of our 2018 central theme: “eConnect, eManage, eDecide, eArchive” 

This first post will mainly develop on the first and fourth areas. There is a real purpose in doing so. We´ll insist all along the event in thinking broad, in having you reflecting on your data life cycle, in planning your project with the end in mind. All 4 areas are intrinsically related and interdependent. They can´t really go good if not correctly designed. This goes without saying that the very last one, the eArchiving would basically be useless if not planned since the beginning. Any “super modern” connections would be misused if at the end data archived are not easily retrievable for them to be reused whether for compliance purposes whether for reanalysis.

“eConnect”: effective workflow based on self-documenting data capture strategies

Even though data integrity lays all along the whole data life cycle, the very first moment of capturing the data at the source is nowadays a strong focus of the inspectors and auditors.  Most of the Lab instrumentations come now with intelligent software embed, additionally labwares and sensors embrace the internet of things, ensuring all now the correct collection of the raw data and the transfer to upper system layers.

Laboratories tend to overlook several critical aspects that need to be considered at this point of time. While the “eConnect” process should happen as lab technicians operate reducing the manual documentation and human error transcription, we tend to forget that maintaining the information about the source that generates the raw data is essential. The data value might reach the final approbation level coming through several system layers, yet it should not be missing  its original source information. At this level, we´re not working anymore with the sourced data and it should be possible to get back anytime to the original data.

The interconnections to the different systems go through data interfaces of multiple kind including sometime the old fashion sneakernet mode if not the human transcription on paper. Every interface is a potential data integrity risk. If well designed interfaces increase integrity and remove human interactions, if not it could be the generator of data integrity on its own.

Finally, while in this first stage of collecting data we should not obviate the ones coming from collaborators. Collaborators are generators of data and potential source of information. If external as academic contributors or outsourced services from CRO, CMO and service labs, an immediate security concerns raises up. With the latest GDPR considerations, we need to incorporate data protection impact assessment at least on the most vulnerable data.  By May 2018, companies we´ll need to design their processes.  Additionally cybersecurity actions to avoid any risk in loosing data needs to also be considered.

“eArchive”: essentials to secure long-term multi-departmental archiving

As stated above, key objective in operating with efficient archival approach is to reduce the struggle finding the right data. Considering the growing digital universe, the archiving could not anymore be left behind in a project and considered when too late. Nowadays, we often hear about concerns on legibility and format consistency along the time for a given retention time that might end up requiring access to obsolete technologies.

Archiving should be approached and designed so it reduces risk of multiple types: knowledge limited to one critical person, security, loss of data…

A comprehensive archiving protocol should eliminate the struggle to find the data to the point of desperately looking for the person owning the knowledge of where it is. As discussed already during the last edition, PLA2017, a corporate master data management and vocabulary model should support a correct management and archival, facilitating a flawless track record of the data. Maximum insights could then be extracted from them. This is how the eDecide could benefit of comprehensive dashboards facilitating trustable conclusions on trends, patterns and key value to decide.  See PerkinElmer 2018 workshop: “eDecide : Delivering on the promise of Enterprise Search & Analytics”

See Waters 2018 workshop: “eConnect: How to facilitate your chromatographic lab to go paperless “

see Adiuto 2018 workshop:”eManage: Quality Processes and Documents paperless management compliant to DI”

Those and more are the topics we´re looking for developing further along the two days event of the 6th edition of the Paperless Lab Academy. The plenary session agenda will provide the audience with very interesting informations: real situations from final users, providers sharing their knowledge and lesson learn from customer projects and though leaders from Gartner, Accenture, Pistoia Alliance will take us to the lab of the future.  Last  but not least, our most appreciated contributor from legal will provide the latest information about GDPR in a challenging attractive way. stay tuned!

Are you going to miss it? book your free seat now!

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STRATEC provides software systems and direct support to some of the world’s largest and most sophisticated processing laboratories.

Building on an unparalleled breadth of technology and the expertise gained in nearly forty years of automating laboratory processes, STRATEC has established itself as one of the most reliable partners and one-stop provider of end-to-end automation solutions in the fields of in-vitro diagnostics and life sciences.

Spanning the entire instrumentation value chain, STRATEC consults, designs, develops and produces fully automated solutions for its partners in the fields of diagnostics including blood banking. These software products can be either simple instrument/LIS connectivity solutions or large multiple instrument “middleware” solutions. The “core” software is called Aurora Enterprise and has the ability to:

• Capture any data in any format from any source
• Interface multiple platforms like LIS systems and Instruments
• Provide dashboard display critical information
• Import or export instrument data to host system(s)
• Manage test orders and results

STRATEC has recently launched Aurora Vigilant software.

Aurora Vigilant is software which allows labs to electronically enter and manage any laboratory task normally recorded using ‘tick box and signature’ paper-based records.  These tasks can be:

• Instrument related maintenance tasks
• General tasks associated with SOP’s and guidelines

Visit the STRATEC booth to discuss their  software capability and the various solutions they can offer.

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