Topics should cover the financial impact of data management systems on drug development, manufacturing, and distribution; the basic computer system life cycle model as well as the activities and software quality assurance practices in each phase; and the controls and methods necessary to maintain data integrity and security.

InTouch

One of the primary technical objectives of the ISPE Pharma 4.0™ Plug and Produce Working Group is to assist the Pharma 4.0™ digital transformation by enabling seamless integration and interoperability between all systems components and operational technology to advance the overall digital maturity toward predictive and adaptable operations.

Sponsored Content

The FDA recommended CSA seeks to speed Computer System Validation (CSV) without sacrificing quality, but there’s a lot to know before you get started. This eBook, authored by CSV expert Darren Geaney, will give you a foundation of understanding so you can take the first step in your CSA journey with confidence.

Features

Digital display labels (DDLs) offer an alternative solution to eliminate manual relabeling in the clinical supply chain, optimizing label content updates through a simple, system-controlled approach while providing new, uncharted opportunities. With increased efficiency in making regulatory-compliant changes and enhanced flexibility in the clinical supply chain, DDL technology has the...

InTouch

One of the primary technical objectives of the ISPE Pharma 4.0™ Plug and Produce Working Group is to assist the Pharma 4.0™ digital transformation by enabling seamless integration and interoperability between all systems components and operational technology to advance the overall digital maturity toward predictive and adaptable operations.

Sponsored Content

The FDA recommended CSA seeks to speed Computer System Validation (CSV) without sacrificing quality, but there’s a lot to know before you get started. This eBook, authored by CSV expert Darren Geaney, will give you a foundation of understanding so you can take the first step in your CSA journey with confidence.

Features

Digital display labels (DDLs) offer an alternative solution to eliminate manual relabeling in the clinical supply chain, optimizing label content updates through a simple, system-controlled approach while providing new, uncharted opportunities. With increased efficiency in making regulatory-compliant changes and enhanced flexibility in the clinical supply chain, DDL technology has the...

Features

Stakeholders across industries are becoming accustomed to using information technology (IT) systems, applications, and business solutions that feature artificial intelligence (AI) and machine learning (ML). Even though some of these uses show phenomenal performance, thorough risk management is required to ensure quality and regulatory compliance are met within the life sciences industry. By...

Features

Due to the growing digitalization of the industry, we are highly dependent on information technology (IT) systems and data. The basic ability to execute our pharmaceutical business and decision-making processes relies on the permanent availability of these IT systems and data to ensure compliance and efficiency of our business operations. But numerous factors—including criminal activities,...

Features

IT infrastructure has traditionally been provisioned using a combination of scripts and manual processes. This manual approach was slow and introduced the risk of human error, resulting in inconsistency between environments or even leaving the infrastructure in an unqualified state. In this article, we investigate some fundamental advantages of using Infrastructure as Code (IaC) for...

Features

This article provides a brief introduction into the standards and regulations for medical devices. It compares the ISPE GAMP® 5 Guide: A Risk-Based Approach to Compliant GxP Computerized Systems (Second Edition) and applicable ISPE GAMP Good Practice Guides against the relevant regulations and standards for the development of software for medical devices and demonstrates GAMP® 5 Second...

Sponsored Content

Addressing the challenges and solutions associated with securing data transfer between Industrial Control Systems (ICS) and the IT environment, this paper presents a real-life case study of practical implementation. The focus is on sustaining the right approach to maintain a genuine zero-trust perspective in data transfer, especially when traversing segmentation zones within a "secured OTN"...

Online Exclusives

Innovation is an integral part of corporate strategy. Initiatives to facilitate innovation are continually developed and pursued. The 2022 ISPE Pharma 4.0™ Emerging Leader (EL) Hackathon was designed based on innovator needs and provided a hands-on blueprint manufacturing exercise. Over a period of two days and facilitated by 40 subject matter experts, coaches, and jury members, 50...

Online Exclusives

The fifth Pharma 4.0™ conference was held December 2022 in Vienna, Austria, in combination with the Aseptic Processing conference. Nearly 500 participants attended either in person or online to learn about the latest developments.

Technical

ChatGPT and other large language models are positioned to change the world. They can also shift acceptance and prevalence of machine learning solutions in regulated industries in general. However, their arrival requires reconsiderations on risks, quality assurance, and validation from a GxP perspective.

Technical

In the context of data integrity, data flows are essential. The FDA, PIC/S, and WHO have all emphasized the importance and benefits of data flows in their guidance on data integrity. The key to data integrity compliance is a well-functioning data governance system1

  • 1International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use. “ICH Harmonised...
Technical

We will show how continuous, real-time capturing of data with immediate data analysis by an ML algorithm can improve control over a critical quality attribute. The ML-analyzed data provides the evidence for validation of the change by demonstrating more control over the process along with a decrease in process risks.

Features

Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning (ML) algorithms demonstrating advances in performance in a wide range of tasks. However, this comes with an ever-increasing complexity of the algorithms used, rendering such systems more difficult to explain.1

  • 1Samek, W., and K. R. Müller. “Towards Explainable...
Features

ISPE’s GAMP® 5: A Risk-Based Approach to Compliant GxP Computerized Systems (Second Edition) (GAMP® 5 Guide, 2nd Edition) maintains the principles and framework of the first edition and updates their application in the modern world, including the increased importance of service providers, evolving approaches to software development, and expanded use of software tools and...

Features

This article explores life-cycle activities for machine learning (ML) within regulated life sciences. It positions and contextualizes the life cycle and management of the machine learning subsystem or components within a wider system life cycle. It also gives general descriptions and guidance illustrated by a case study demonstrating a machine learning application to medical image recognition,...

Technical

This artificial intelligence (AI) retrofit project was a unique approach to implementing AI technology in a pharmaceutical environment within three months. This project tackles a commonly known industry challenge by integrating AI into an existing automatic visual inspection (AVI) machine. The proof of value allowed us to benchmark added value through AI compared with state-of-the-art...

Technical

Artificial intelligence (AI) has the potential to benefit the pharmaceutical industry and its GxP-regulated areas. Several pharmaceutical companies are currently running digital pilots; 90% of large pharmaceutical companies have initiated AI projects.1

  • 1Trinity Life Sciences. “Ninety Percent of Large Pharma Companies Initiated Artificial Intelligence/Machine Learning Projects In...
Features

The life cycle approach to process validation stresses the need for continued monitoring of process performance to ensure that the manufacturing process remains stable and predictable, i.e., in a state of control. This life cycle stage is known as continued process verification (CPV) or ongoing process verification (OPV).1

  • 1US Food and Drug Administration Center for Drug Evaluation...
Features

As adoption of cloud technology continues to increase across the life sciences industry, so too does the need to establish a standardized and pragmatic approach for ensuring the quality of software applications used in support of GxP data and associated processes. This article focuses on the application level and the growing use of software as a service (SaaS) within the life sciences...

Features

Artificial intelligence (AI) has become one of the supporting pillars for digitalization in many areas of the business world. The pharmaceutical industry and its GxP-regulated areas also want to use AI in a beneficial way. Several pharmaceutical companies are currently running digital pilots, but only a small fraction follows a systematic approach for the digitalization of their operations

Features

This article aims to refresh information on open-source software (OSS) within regulated computerized systems that was first discussed in an article in May-June 2010 Pharmaceutical Engineering®. The adoption of OSS advanced since then, and the article explores the importance of recognizing when an organization is relying on OSS and the benefits and risks this brings from a GAMP® 5...

Features

Developing comprehensive digital solutions is crucial for the entire value creation process for pharmaceuticals. A holistic view of the interrelations of product, production process, and plant is becoming increasingly significant. In this context, the application of model-based technologies provides support in drug development, process scale-up, and manufacturing. Furthermore, it accelerates...

Features

Industry 4.0 applications in biopharma involve the complete spectrum of data science throughout the entire product life cycle of many disparate entity types. Tools such as digitalization, modern data science, and the industrial internet of things (IIoT) exist now, and examples from other industries such as Siri and Alexa, face identification, and self-driving cars can guide their...

Features

This second of a two-part series explores digital transformation and digitalization in the biopharmaceutical industry with information about how data science enables digitalization along the product life cycle. (Part 1 was published in the March-April 2021 issue of Pharmaceutical Engineering.1

  • 1Herwig, C., et al. “Data Science for Pharma 4.0™, Drug Development, and Production—Part...
Features

Cloud computing can be described as networked access and utilization of configurable computing resources such as data and information storage, processing capabilities, applications, and other services on computerized systems provided and/or maintained by a remote organization. As life sciences companies consider the advantages and costs of utilizing cloud services, they first need to invest...

Features

Real-world evidence (RWE) is clinical evidence regarding the usage and potential benefits or risks of a medical product derived from analysis of real-world data (RWD) relating to patient health status and the healthcare delivery.1

  • 1US Food and Drug Administration. “Use of Real-World Evidence to Support Regulatory Decision-Making for Medical Devices: Guidance for Industry and Food...
Features

This article focuses on pragmatic quality- and risk-based approaches to IT infrastructure. It covers recommendations made by a US FDA/industry team linked to the US FDA Center for Devices and Radiological Health (CDRH) Case for Quality initiative1

  • 1US Food and Drug Administration Center for Devices and Radiological Health. “Case for Quality.” 29 July 2020.
Online Exclusives

Industry 4.0 is the recent movement toward intelligent automation technology. In this new era, the integration of modern manufacturing skills and novel information technologies plays an important role on economic competitiveness.1

  • 1Zawadzki, P., and K. Żywicki. “Smart Product Design and Production Control for Effective Mass Customization in the Industry 4.0 Concept.” Management and...
Features

The ISPE Pharma 4.0™ Special Interest Group (SIG) launched in 2015 to provide a road map for new challenges of digitalization, Industry 4.0, and the smart factory. The Special Interest Group addresses how pharmaceutical industry stakeholders, including regulatory authorities, can achieve benefits from

Features

The fourth Industrial Revolution (also known as Industry 4.0) is the era of smart machines, storage systems, and production plants that can autonomously exchange information, trigger actions, and control operations free of any human intervention. To ensure future success in the delivery of therapeutic medicines to patients, it is imperative that the pharmaceutical industry move deeper into the...

Insights

Understanding and utilization of Pharma 4.0™ technologies will be critical for students and Emerging Leaders (ELs) as they develop in their careers in the pharmaceutical and life sciences industries. To learn more, I spoke with Edoardo Schiraldi, an Emerging Leader based in Florence, Italy, who works as a Corporate R&D Business Solutions Specialist with Menarini Group, about the “pillars”...

Features

Pharmaceutical companies rely on automated vision inspection (AVI) systems to help ensure product safety. Although these systems overcome challenges associated with manual inspection, they can be hindered by limitations in their programming—if the system is programmed to consider every variation in inspection conditions, it is likely to falsely identify defects in safe products. This article...

Features

In the pharmaceutical industry, digitalization involves developing and implementing digital technologies at all levels of pharmaceutical operations. The aim is to transform the industry by capturing, analyzing, and using vast amounts of data collected from a wide range of sources to support research and development (R&D), clinical development, drug manufacturing, supply chain management,...

Between 2009 and 2019, the number of adverse events (AEs) for drugs and therapeutic biologic products recorded by the US FDA Adverse Event Reporting System (FAERS) increased more than 300%, from 490,032 to 2.19 million cases (as of 31 December 2019).1

  • 1US Food and Drug Administration. “FDA Adverse Events Reporting System (FAERS) Public Dashboard: Data as of December 31, 2019.”...
Technical

The Advanced Digital Design of Pharmaceutical Therapeutics (ADDoPT) project1 is a recently completed UK-based design manufacture and supply chain research collaboration. This collaboration catalyzed work to define a system for top-down,...

  • 1“ADDoPT—Advanced Digital Design Transforming Pharmaceutical Development and Manufacture.” Accessed 1 September 2019. https://www.addopt.org
Features

To facilitate the assessment and mitigation of compliance risks associated with a third-party service organization, its services, and the systems used to provide the services, this article proposes adopting an approach from the financial sector that, with a little modification, could be used to assess suppliers of GxP-regulated IT services.

Technical

This article discusses how blockchain technology may disrupt the way we collect and manage data within regulated processes. The first section is a nontechnical summary of blockchain’s features, including a description of what it is (and what it is not). This sets the context for the next section, in which we discuss several blockchain use cases currently being piloted by life sciences...

Features

Data is an important factor that is reshaping the pharmaceutical industry and triggering significant innovation. Vertical integration of equipment can represent an optimal solution to manage the increasing flow of data efficiently, innovate the manufacturing environment, and fulfill data integrity requirements. Regulators and health agencies are strongly enforcing data integrity related...

Technical

The amount of data collected in a typical pharmaceutical manufacturing operation is staggering, yet research shows that much of this information is rarely used for anything more than compliance. New technologies such as big data, artificial intelligence, machine learning, and deep learning permit unprecedented analysis of realtime data and can even predict trends in processes and operations....

Special Reports

Fifteen years ago, corporations embarked on a journey toward SOX compliance; along the way they have learned a tremendous amount about data integrity as it relates to financial systems. Those lessons learned are directly applicable to many of the data-integrity challenges facing the pharmaceutical industry today.