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I didn’t really fit into the company I was in before, so firstly, I think to enjoy any role the people you work with are important. Realistically, I probably spend more time speaking with my colleagues than I do my own wife and kids, so having great colleagues definitely makes Scimcon enjoyable.
Secondly, the challenges within the role are exciting. Whenever you start a new contract – as we do regularly, supporting clients in pharma and biopharma – there is either an implementation project that needs carrying out, or an issue that needs resolving. Sometimes, the task at hand is not something I am directly familiar with or have the exact experience doing, but that makes it a challenge. And it’s the challenge that I enjoy.
In my prior role, we partnered with Scimcon on a number of projects. I had been involved in building a platform for our mutual client and when they needed to take the project forward, they needed someone to train, support, and project manage the implementation of the project software. It seemed a no-brainer for me to join the consultancy team at Scimcon, and to continue to support the project and the client to help them to progress. The transition into Scimcon was seamless, and I later moved from that initial project within the vaccines space onto a biotech company in the Netherlands, whom I have been supporting on e-systems.
My background helps me to bring people and team skills into play, so I am very suited to the Scimcon way of working, to support clients and to manage processes, SOPs, digital, and software projects for scientific companies. The client I am supporting currently was initially reluctant to appoint a lab informatics consultancy that was not local, and questions were raised as to whether or not we could perform the role from the UK without impacting the level of support we provide. As a test run, we were initially only working on a 3-month contract. Their processes are crucial to the business scale-up and growth, and our experience with other big pharma organisations has come into play helping them to navigate the decisions needed. I think we successfully demonstrated to them that it is feasible to be productive offering great support from the UK – so much so that the original 3-month project is now 30 months.
Every child has a hobby growing up, and of course in England, playing sports is probably one of the most popular activities. For me, football was my favourite pastime which evolved into more than just a hobby. It actually paved a pathway for all areas of my life.
What started out as a recreational game became a profession, as I left school at 16 to become a full-time football player, At 20, when my professional playing career finished, football again opened a window of opportunity to move to Southern California and coach football for 3 months. I returned 12 years later!
At 27, football again paid for my University education at Point Loma Nazarene University in San Diego, where I was sponsored via a soccer scholarship to study Business and Finance. I had never even enjoyed school, never mind imagined studying at University, but football provided a unique opportunity that was too good to refuse.
During my senior year at University, while coaching football in Denver during the summer, I was introduced to my fiancé Sarah who had also – coincidentally – attended University in the USA on a football scholarship. She was almost in a parallel to me, only she was based in Florida while I was on the total opposite side of the country in California.
Sarah and I had our first child then returned to the UK shortly after, where we now have four sons – aged 10, 7, 5, and 1. Our 10 and 7-year-olds are, like their mum and dad, football-mad, so we spend our weekends travelling to watch them play. Our 5-year-old is starting to get the bug, and we are yet to see if football is something our youngest warms to, but I can’t see the apple falling too far from the tree.
I still spend every day at some sort of football activity. Both our older boys are at the football academies so they each have 3-4 days a week training and playing. Football remains our outside-of-work life, having brought us together all those years ago.
And with the skills I learned at university, studying business and finance, as well as the team skills associated with playing sport, I am well placed to bring team leadership to the Scimcon family, and to focus on the best tactics and teams to work on a winning side.
Southern California was my home for 12 years, and having attended University in San Diego, that would be my obvious choice. We have a lot of friends and happy memories there, and we love the area – and the food!
We made the decision to return to UK as a family when we had the boys, for the support network of close family and friends. As I have been working from home for so many years anyway, personally my life hardly changed. However, it was a terrible impact for the boys. For any young kids, that transitional age and loss of companionship has been a huge negative experience. Luckily, the boys are pretty resilient and seemed to have bounced back into the new normal without any issues.
Funnily enough, I am not really a techie! I use a PC and a phone, but not much else.
Even though I don’t spend a great deal of time on gadgets and gizmos, I love the knowledge and benefits you can see from technology. For example, having spent so many of my formative years playing and coaching football, I am now still involved with my sons and their training and I see the technology to hand, which was never available when I was playing in the US. It’s absolutely fascinating, and there’s two pieces of tech in particular that I’m seeing used regularly at my sons’ training and matches. One is a Veo sports camera, which follows the ball and records the play, the other is an APEX GPS tag. This handy piece of kit is worn in the back of my son’s shirt when he’s playing, and all the data collected throughout the match is recorded on a smartphone, recording metrics such as speed, average position, and provides an overall performance review.
It’s amazing to see two of my previously completely separate worlds – football and technology – coming together, and it is really interesting to see how this technology is enabling football. As a coach, it also allows me to see and read the data available, so that we can then determine what is needed to improve in a game.
Scimcon is not a technology company, it is a people company that helps to solve the technology challenges for our clients, whether they be implementation, process or project-related. I am happy that I am not a techie, but very much a team and a people-person who can always learn and bring new skills to the table.
Top tips for best approaches to data use in clinical trials?2020 has been a difficult year for most industries, not least for event and tradeshow providers. Luke Gibson, Founding Director of Open Pharma Research and Lab of the Future, shares his experience of running events in the laboratory industry, and what makes Lab of the Future such a unique event.
My name is Luke Gibson, and I am one of the three founding directors of Open Pharma Research. I have 30 plus years of experience in developing and running events, primarily in the financial and trade and commodity sectors. My colleagues Kirianne Marshall and Zahid Tharia bring a similar level of experience to the company.
Kirianne has had many years of experience in managing the commercial side of large congresses, such as Partnering in Clinical Trials, and research and development congresses. Zahid has 30 years of events experience too, particularly in running life science portfolios, and launching congresses/events. Our paths have crossed many times throughout our years working in events, and we eventually hit a point where all 3 of us had the capacity to try something new – something that was worthwhile, fun, and different to the corporate worlds we had become accustomed to. So that was why we created Lab of the Future – with a view to running events in a different way.
I’m not sure if I would describe it as a gap in the market, more an ambition to do things differently. There was a desire from all of us to build an event with a different approach to the one we would take when working for large organisations, because when you’re working on a large portfolio of global events that cover a variety of topics, you and your team are always looking ahead to the next event, and the focus on the longevity of a single event isn’t always there.
We wanted something that we can nurture and grow, something that we can work on year-round without getting distracted by the next thing on our list. It also allows us to stay within this space and build our community, without having to face pressures such as a year-on-year development strategy or diverse P&L. Our desire was to avoid these constraints, and create an event that we can continue to work on for a long time.
We want to be able to live and breathe Lab of the Future, but one of the interesting things about it is that it’s such a broad concept. On the one hand we deal with informatics, but on the other hand, we deal with equipment, technology, and all the connectivity between them – but even that’s just one part of it. We are not an informatics conference; we are not strictly an instrumentation conference; we also look at the innovation side of things.
I think the best way to describe how we see Lab of the Future is as a proxy for how you do science in the future. Everything pertains to more efficient processes; better results; or ways of creating breakthrough innovation, and these are all part of the picture of science in the future. And that is the lab of the future – where the lab is the proxy for the environment where you do the science that matters.
When we started off, we found we received a lot of queries from industry contacts who wanted to get involved, but certain topics they wanted to discuss didn’t necessarily pertain to the physical laboratory itself. But if it was relevant to science, then it was relevant to us. Things like data clouds and outsourced services may not be directly linked to the lab, but they still relate to how you work. So, within that, the scope for the Lab of the Future gets wider still, looking at areas such as how we can create virtual clinical trials, or use real world-data to feed back into R&D.
People are also keen to learn more from their peers and from other areas of the industry. Lab of the Future allows us to host senior speakers and keynotes who can tell us where we’re heading, and show us how the efforts of one area within life science feed into other areas. It presents us with an almost ever-changing jigsaw image, and it’s this strategic element that I think sets us apart from other events.
We attract a real mix of attendees, and that’s what I love about it. You can run a conference for people in a specific job function, such as a data scientist or an R&D manager, but what people really want to know is what the people around them are doing, to almost give them context of the industry as a whole. So, our conference doesn’t just exist to help you do your own job better, but it helps you to develop a concept of where your department is heading in the future, and what you should think about longer term. We aren’t telling scientists how to do their job today; we’re helping them think about their responsibilities for delivery in the future. Lab of the Future is about the delivery of science of the future.
Our sponsors and solution providers that support the conference are also very much part of our community, as they’re all innovating and making waves in this space as well. They’re in a space that’s always evolving to build the Lab of the Future; and they are part of that solution. So, we don’t merely facilitate a conference of buying and selling between providers and services, we offer a space where everyone is evolving together. It’s a real melting pot, and that’s the fun bit really.
Zahid’s background in life sciences definitely gave us a starting point. Further to that, we’ve found that every time we put something out, that our community engages, and as a consequence we’re introduced to people we never expected to be introduced to. The fact we’re always talking to people enriches our content – the people we meet and conversations we have change our way of thinking, and shape what we’re doing.
Although I’m in charge of our marketing operations, I have to say I’m not always sure where some of our contacts come from! One thing I’ve found quite surprising is the lack of reliance on a database – there’s a lot of power in word-of-mouth, especially in this space where everyone is working on something – why not share that? As we’re seen as adding value to the conversation, it allows people to find us through their connections and our supporters.
Scimcon is proud to sponsor Lab of the Future, and we can’t wait to see you at the Autumn virtual congress on 26 – 27th October 2021. Contact us today to learn more about our participation in the event, and stay tuned on our Opinion page for part 2 of our conversation with Luke.
Industry leader interviews: Mark Elsley?I am Mark Elsley, a Senior Clinical Research / Data Management Executive with 30 years’ experience working within the pharmaceutical sector worldwide for companies including IQVIA, Boehringer Ingelheim, Novo Nordisk and GSK Vaccines. I am skilled in leading multi-disciplinary teams on projects through full lifecycles to conduct a breadth of clinical studies including Real World Evidence (RWE) research. My specialist area of expertise is in clinical data management, and I have published a book on this topic called “A Guide to GCP for Clinical Data Management” which is published by Brookwood Global.
Data quality is a passion of mine and now receives a lot of focus from the regulators, especially since the updated requirements for source data in the latest revision of ICH-GCP. It is a concept which is often ill-understood, leading to organisations continuing to collect poor quality data whilst risking their potential rejection by the regulators.
White and Gonzalez1 created a data quality equation which I think is a really good definition: They suggested that Data Quality = Data Integrity + Data Management. Data integrity is made up of many components. In the new version of ICH-GCP it states that source data should be attributable, legible, contemporaneous, original, accurate, and complete. The Data Management part of the equation refers to the people who work with the data, the systems they use and the processes they follow. Put simply, staff working with clinical data must be qualified and trained on the systems and processes, processes must be clearly documented in SOPs and systems must be validated. Everyone working in clinical research must have a data focus… Data management is not just for data managers!
By adopting effective strategies to maximise data quality, the variability of the data are reduced. This means study teams will need to enrol fewer patients because of sufficient statistical power (which also has a knock-on impact on the cost of managing trials).2 Fewer participants also leads to quicker conclusions being drawn, which ultimately allows new therapies to reach patients sooner.
I believe that clinical trials data are vitally important. These assets are the sole attribute that regulators use to decide whether to approve a marketing authorization application or not, which ultimately allows us to improve patient outcomes by getting new, effective drugs to market faster. For a pharmaceutical company, the success of clinical trial data can influence the stock price and hence the value of a pharmaceutical company3 by billions of dollars. On average, positive trials will lead to a 9.4% increase while negative trials contribute to a 4.5% decrease. The cost of managing clinical trials amounts to a median cost per patient of US$ 41,4134 or US$ 69 per data point (based on 599 data points per patient).5. In short, clinical data have a huge impact on the economics of the pharmaceutical industry.
Healthcare organizations generate and use immense amounts of data, and use of good study data can go on to significantly reduce healthcare costs 6, 7. Capturing, sharing, and storing vast amounts of healthcare data and transactions, as well as the expeditious processing of big data tools, have transformed the healthcare industry by improving patient outcomes while reducing costs. Data quality is not just a nice-to-have – the prioritization of high-quality data should be the emphasis for any healthcare organization.
However, when data quality is not seen as a top priority in health organizations, subsequently large negative impacts can be seen. For example, Public Health England recently reported that nearly 16,000 coronavirus cases went unreported in England. When outputs such as this are unreliable, guesswork and risk in decision making are heightened. This exemplifies that the better the data quality, the more confidence users will have in the outputs they produce, lowering risk in the outcomes, and increasing efficiency.
ICH-GCP8 for interventional studies and GPP9 for non-interventional studies contain many requirements with respect to clinical data so a thorough understanding of those is essential. It is impossible to achieve 100% data quality so a risk-based approach will help you decide which areas to focus on. The most important data in a clinical trial are patient safety and primary end point data so the study team should consider the risks to these data in detail. For example, for adverse event data, one of the risks to consider could include the recall period of the patient if they visit the site infrequently. A patient is unlikely to have a detailed recollection of a minor event that happened a month ago. Collection of symptoms via an electronic diary could significantly decrease the risk and improve the data quality in this example. Risks should be routinely reviewed and updated as needed. By following the guidelines and adopting a risk-based approach to data collection and management, you can be sure that analysis of the key parameters of the study is robust and trust-worthy.
Aside from the risk-based approach which I mentioned before, another area which I feel is important is to only collect the data you need; anything more is a waste of money, and results in delays getting drugs to patients. If you over-burden sites and clinical research teams with huge volumes of data this increases the risks of mistakes. I still see many studies where data are collected but are never analysed. It is better to only collect the data you need and dedicate the time saved towards increasing the quality of that smaller dataset.
Did you know that:
In 2016, the FDA published guidance12 for late stage/post approval studies, stating that excessive safety data collection may discourage the conduct of these types of trials by increasing the resources needed to perform them and could be a disincentive to investigator and patient participation in clinical trials.
The guidance also stated that selective safety data collection may facilitate the conduct of larger trials without compromising the integrity and the validity of trial results. It also has the potential to facilitate investigators and patients’ participation in clinical trials and help contain costs by making more-efficient use of clinical trial resources.
Technology, such as Electronic Health Records (HER) and electronic patient reported outcomes (ePRO), drug safety systems and other digital-based emerging technologies are currently being used in many areas of healthcare. Technology such as these can increase data quality but simultaneously increase the number of factors involved. It impacts costs, involves the management of vendors and adds to the compliance burden, especially in the areas of vendor qualification, system validation, and transfer validation.
I may be biased as my job title includes the word ‘Data’ but I firmly believe that data are the most important assets in clinical research, and I have data to prove it!
Scimcon is proud to support clients around the globe with managing data at its highest quality. For more information, contact us.
1White, Christopher H., and Lizzandra Rivrea González. “The Data Quality Equation—A Pragmatic Approach to Data Integrity.” Www.Ivtnetwork.Com, 17 Aug. 2015, www.ivtnetwork.com/article/data-quality-equation%E2%80%94-pragmatic-approach-data-integrity#:~:text=Data%20quality%20may%20be%20explained. Accessed 25 Sept. 2020.
2Alsumidaie, Moe, and Artem Andrianov. “How Do We Define Clinical Trial Data Quality If No Guidelines Exist?” Applied Clinical Trials Online, 19 May 2015, www.appliedclinicaltrialsonline.com/view/how-do-we-define-clinical-trial-data-quality-if-no-guidelines-exist. Accessed 26 Sept. 2020.
3Rothenstein, Jeffrey & Tomlinson, George & Tannock, Ian & Detsky, Allan. (2011). Company Stock Prices Before and After Public Announcements Related to Oncology Drugs. Journal of the National Cancer Institute. 103. 1507-12. 10.1093/jnci/djr338.
4Moore, T. J., Heyward, J., Anderson, G., & Alexander, G. C. (2020). Variation in the estimated costs of pivotal clinical benefit trials supporting the US approval of new therapeutic agents, 2015-2017: a cross-sectional study. BMJ open, 10(6), e038863. https://doi.org/10.1136/bmjopen-2020-038863
5O’Leary E, Seow H, Julian J, Levine M, Pond GR. Data collection in cancer clinical trials: Too much of a good thing? Clin Trials. 2013 Aug;10(4):624-32. doi: 10.1177/1740774513491337. PMID: 23785066.
6Khunti K, Alsifri S, Aronson R, et al. Rates and predictors of hypoglycaemia in 27 585 people from 24 countries with insulin-treated type 1 and type 2 diabetes: the global HAT study. Diabetes Obes Metab. 2016;18(9):907-915. doi:10.1111/dom.12689
7Evans M, Moes RGJ, Pedersen KS, Gundgaard J, Pieber TR. Cost-Effectiveness of Insulin Degludec Versus Insulin Glargine U300 in the Netherlands: Evidence From a Randomised Controlled Trial. Adv Ther. 2020;37(5):2413-2426. doi:10.1007/s12325-020-01332-y
8Ema.europa.eu. 2016. Guideline for good clinical practice E6(R2). [online] Available at: https://www.ema.europa.eu/en/documents/scientific-guideline/ich-e-6-r2-guideline-good-clinical-practice-step-5_en.pdf [Accessed 10 May 2021].
9Pharmacoepi.org. 2020. Guidelines For Good Pharmacoepidemiology Practices (GPP) – International Society For Pharmacoepidemiology. [online] Available at: https://www.pharmacoepi.org/resources/policies/guidelines-08027/ [Accessed 31 October 2020].
10Medical Device Innovation Consortium. Medical Device Innovation Consortium Project Report: Excessive Data Collection in Medical Device Clinical Trials. 19 Aug. 2016. https://mdic.org/wp-content/uploads/2016/06/MDIC-Excessive-Data-Collection-in-Clinical-Trials-report.pdf
11O’Leary E, Seow H, Julian J, Levine M, Pond GR. Data collection in cancer clinical trials: Too much of a good thing? Clin Trials. 2013 Aug;10(4):624-32. doi: 10.1177/1740774513491337. PMID: 23785066.
12FDA. Determining the Extent of Safety Data Collection Needed in Late-Stage Premarket and Postapproval Clinical Investigations Guidance for Industry. Feb. 2016.
Meet Scimcon: Geoff Parker?I find building a company from the ground up very exciting, so that is always a leading factor behind starting a new business. Divesting is never the intention when building a business, it is more something that becomes clear over time. The motivation behind starting my businesses is to create value and deliver a meaningful impact into the pharmaceutical and life science space, in whatever shape that may take.
Take Sciformix, for example. As with my other businesses, Sciformix was created in the right place at the right time, offering our ability to combine science and process at a time when other outsourced businesses were only offering one or the other. When creating Sciformix, the intention was not to divest at a later stage, but to deliver value in what was, at the time, a new area in science.
CROs and regulatory consultants had been around for a long time when I founded Sciformix, but pharmacovigilance (PV) was a relatively new area in the industry. As regulations tightened on the reporting of adverse events within clinical trials, the pharmaceutical industry sprang into action, and it soon became clear that the new pharmacovigilance processes were too much, and too lengthy to all be completed in-house within the 15-day deadline for reporting serious reactions. These regulations were very new when we built Sciformix, and as a result we grew very quickly and worked through roughly one and a half million cases per year. When the time was right to divest, Sciformix was acquired by Covance, and it was time to move on to the next venture (Scitara).
When you are working on your business, there is not a conscious decision to divest. You know when the time has come to move on – it is like you flip a switch and realise it is time for something new, and you begin to ask yourself “why would I sell?”
Timing is critical when considering divesting. Is it the right time for your customers? Is it the right time for your employees? And is it the right time for your investors? If it is the right time for all three of these areas, then you can begin the transition fairly quickly. However, if only one or two of these areas are ready for this change, you need to step back and ask yourself “how can I make it the right time for all three?”. Thankfully, all of my exits have been at a point where the time has been right for all three parties, so I have left my businesses smoothly and on good terms.
Interestingly, a lot of our customers often prefer to work with smaller companies, such as those which I founded, over larger companies who offer similar services. The benefit of smaller outsourced companies – well, small in comparison to the customer – is that the culture is quite different. Smaller companies and agencies can offer a level of flexibility and innovation to customers that can be difficult to pass through larger organisations. In addition, there is a real sense of an “I have your back” attitude, as you are able to work closely with your customers. Culturally and contractually, my companies have been able to offer something different to larger companies, and we have been willing to do anything and everything our customers needed, which is why they would often choose to sign up with us.
However, as the business grows, those customers tend to stay. When customers become a part of your journey, your relationship with them evolves and your company becomes better equipped to protect their business. Because I aim to divest at a time when my customers are ready for it, there is generally a smooth transition.
As my previous three ventures were in tech, services, and global delivery, Scitara is the summation of all of my previous projects. As I mentioned in the last blog, Scitara aims to solve the major problem within the lab industry of data connectivity and is leading the digital revolution in labs to address this issue. To do this, we will require the cooperation of every connection we have made over the years, as by helping us, we can help them. If we can reach out to everyone in the ecosystem, we will be able to help companies take a huge leap into their digital transformation projects by creating a platform through which they can communicate their lab data through their digital systems, something which at present is proving a real hindrance to digital transformation projects.
This is why I believe Scitara is my finale. It is almost as if we have come full circle, as Scitara pulls together the skills and relationships I have built over my entire career – into creating a final solution. I intend to go out with a bang!
Meet Scimcon: Dave Sanders?