Future of Pharma: Building the Right Environment for AI Success

| July 25, 2019

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What does the future of pharma look like through the eyes of a technologists background? We were fortunate enough to find out at last month at our 2nd annual GNS Forum. Shahram Ebadollahi, PhD, MBA who is the Global Head of Data Science and AI at Novartis AG, joined us to share his thoughts on how to bring the promise of AI to fruition for biopharma.

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Privatus

Founded in 2005 by healthcare professionals with over fifty years of experience, Privatus provides private care services with a unique focus on the client experience. Managed by a seasoned team of nurses, our mission is to support lifestyle and personal preferences for those facing health and/or aging issues. When facing a healthcare challenge, there are many options to consider, some routinely overlooked. Whether needs are time sensitive or someone is simply exploring options, we take the time to learn about what is most important to each individual and therefore what to advise.

OTHER ARTICLES

Artificial intelligence in pharma: utilising a valuable resource

Article | March 11, 2020

The pharmaceutical industry is set to greatly benefit from the use of artificial intelligence (AI), due to its wide range of applications. Sydney Tierney discusses how machine learning can enhance marketing, manufacturing and drug trials. Artificial intelligence (AI) can be applied to nearly every aspect of the pharmaceutical and healthcare industry, to enhance data processing. Adopting the technology will reveal the astonishing potential of the healthcare sector, with success rates flying higher than ever before – especially in the research and development of crucial, life-changing drugs.

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New Dimensions of Clinical Trial Optimization

Article | April 20, 2021

For much of the past three decades, even as methodologies for clinical trial design have advanced and refined, the idea of the optimized clinical trial has centered on optimal patient samples, target enrollment rates, and generally the most efficient uses of scarce resources in the form of patients. Yet anyone who has had to design and optimize a clinical trial, knows that trial optimization occurs within an ecosystem of choices; a series of choices that stretch from the time it takes to implement a clinical trial and submit clinical data for analysis, to general concerns about the cost and power of a clinical trial. A true clinical trial optimization process would try to unify a number of these choices into a single framework for trial optimization. The complexity of clinical trial optimization comes from the need to align priorities on the one hand, and to understand opportunities on the other. We know that at a very general level, clinical operations specialists benefit from simplicity in clinical trial design, and that commercial teams prefer shorter clinical trials to longer ones. We also know that the statistical design of a clinical trial can influence both simplicity and duration. Yet how many sponsors have their clinical operations and commercial teams, sit with their R&D teams to review various statistically nuanced design options? For many sponsors, the reason this process does not occur as often as it should, is because the nuanced statistical parameters of a clinical trial design are very difficult to communicate to non-statisticians. Yet a trial optimization tool like Solara, equipped with data visualizations and the ability to see tradeoffs intuitively, can overcome this challenge. The real challenge is often convincing the non-statistician that they have a stake in clinical trial design. Cytel recently had a client that thought it needed a sample size re-estimation design, because it had a very strict limit on the number of patients it could enroll. After a few hours of working with Solara, though, a statistician discovered that a much simpler Group Sequential Design would deliver comparable power using about the same number of patients. The gains from the more complex design were minimal from the optimization perspective, when understood as the eco-system of choices. Similarly, most commercial teams pressure their clinical trial designers to have the most accelerated clinical trial imaginable, but as we all know, the longer the clinical trial the more likely there will be a higher number of events that demonstrate the effectiveness of a new medicine. So commercialization teams have a stake in longer clinical trials, even when their rule of thumb is to shorten them. Therefore, it is absolutely essential to communicate the benefits of various statistical designs to multiple stakeholders in a way that makes tradeoffs clear. Aligning on priorities early during the clinical trial design process is essential to selecting the optimal clinical trial. Yet for this statisticians need to be equipped for both a strategic and communicative role in the R&D process.

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Enabling Active Pharma Ingredients for Batch Balancing and Integration to SAP EWM

Article | April 6, 2020

Batch and its Classification system are two most potent weapons used in Chemical, Pharma or Medical life science industry to record the potency of a batch or technically called as Active Pharma Ingredients(API). These material consist of one or more active ingredients, concentrates, carrier materials, or impurities, and so on. The potency of the active ingredients varies from batch to batch. The active ingredient is the substance of greatest interest in the bill of materials, the proportion of which may vary from batch to batch. Therefore, during creation of a process order, the system must be able to select and adjust the batches needed to obtain the required amount of active ingredient. Take an example of a drug hydroxychloroquine which is used as potent weapon to fight COVID-19. This drug is manufactured by using API, however, the Potency of this API material vary from batch to batch. To map this kind of requirement in SAP ERP, SAP calls it as Material Quantity Calculation.

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Pharmacist eCare Plan - the newest disrupter in health data exchange?

Article | February 25, 2020

Every member of the health care team shares a common goal of optimizing patient outcomes. Yet each specialty and position of the healthcare team has a unique workflow facilitated by various tools, from an operative report to a progress note. In this regard the pharmacist plays a pivotal function in medication management and requires documentation specific to that role. The Pharmacist eCare Plan (PeCP) allows for an interoperable note to be used in the pharmacy to assist in the exchange of patient information, including active medication list, laboratory results, and payer information. To allow for this, a new type of clinical document architecture for the PeCP was created and standardized for use across pharmacies.

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Spotlight

Privatus

Founded in 2005 by healthcare professionals with over fifty years of experience, Privatus provides private care services with a unique focus on the client experience. Managed by a seasoned team of nurses, our mission is to support lifestyle and personal preferences for those facing health and/or aging issues. When facing a healthcare challenge, there are many options to consider, some routinely overlooked. Whether needs are time sensitive or someone is simply exploring options, we take the time to learn about what is most important to each individual and therefore what to advise.

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