=Paper=
{{Paper
|id=Vol-2973/paper_180
|storemode=property
|title=BPM Support for Regulatory Compliance in ATMP Development Processes
|pdfUrl=https://ceur-ws.org/Vol-2973/paper_180.pdf
|volume=Vol-2973
|authors=Zeynep Ozturk Yurt
|dblpUrl=https://dblp.org/rec/conf/bpm/Yurt21
}}
==BPM Support for Regulatory Compliance in ATMP Development Processes==
BPM Support for Regulatory Compliance in ATMP Development Processes Zeynep Ozturk Yurt Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, Eindhoven, The Netherlands Abstract Advanced Therapy Medicinal Product(ATMP) development processes are associated with inefficiencies due to lack of an efficient and effective management methods that can support scientists in working towards regulatory compliance. This research addresses this problem by proposing refined solutions based on knowledge-intensive Business Process Management(BPM). Here, methods will be developed to support scientists in planning a development process that is compliant with regulations. These methods will be based on the knowledge on process modelling, goal modelling and context-aware business processes. Thereby, this project will provide an exemplary approach for supporting compliance management in knowledge intensive processes. The methods will be implemented in a software and evaluated through a real-life ATMP development case. 1. Introduction Advanced Therapy Medicinal Products (ATMPs) are medicines for human use that offer new opportunities for treatment of many diseases, based on biomedical technology [1]. Development of ATMPs involves several stages and the overall aim in these stages is to develop a safe and effective medicinal product. This is accomplished by collaboration of many stakeholders, where scientists and regulatory consultants are the main ones. Figure 2 in the Appendix describes the main phases and stakeholders in ATMP development. ATMPs are especially known for their complex regulatory framework. ATMP regulations do not induce strict rules on how things should be done throughout the development. Instead, they involve high-level goals that should be considered in order to demonstrate that the ATMP being developed is safe and effective. There are alternative ways of achieving these goals. Also, regulatory requirements vary depending on the development context. Here, context is defined by the properties of the ATMP. For instance, for different ATMP types (Tissue Engineered Product(TEP), Combined ATMP etc.) or different regulatory classifications of the components of an ATMP (e.g., biomaterial in an ATMP classified as starting material or excipient etc.), different regulatory requirements apply. Also, it is not possible to define the context fully before the development process starts. Instead, different options (e.g., classifying the ATMP as Combined ATMP or TEP) are investigated throughout the development. The flexibility in defining the Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2021 co-located with the 19th International Conference on Business Process Management (BPM 2021) Envelope-Open z.ozturk.yurt@tue.nl (Z. O. Yurt) © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings http://ceur-ws.org ISSN 1613-0073 CEUR Workshop Proceedings (CEUR-WS.org) context and variability of regulatory requirements based on context makes it challenging for scientists to manage the regulatory aspects of ATMP development. Despite its complexity, management of regulatory aspects of ATMP development processes is currently done by scientists in an ad-hoc fashion, which is not efficient. Research shows that, ATMP development processes are associated with many hurdles such as reworks and even withdrawal of the ATMP due to shortcomings in providing adequate evidence of regulatory compliance [2]. This contributes to increased development costs and time-to market. Lack of regulatory knowledge among scientists is an important factor for these hurdles [2]. Being an expert, scientist requires minimal guidance about the scientific aspects of ATMP development processes. However, establishing and maintaining the link between the scientific development process and the regulatory framework of the ATMP development is challenging for the scientists. Therefore, this project will focus on bridging the gap between scientific and regulatory aspects of the ATMP development to help scientists manage the process more efficiently and effectively. 2. Research Questions, Related Work and Intended Solution In this project, I propose to support ATMP development processes with Business Process Man- agement (BPM). Traditional BPM focuses on managing predictable and routine work. However, managing unpredictable, flexible KiPs, is an emerging topic within BPM [3]. Considering its characteristics (See Table 1 in the Appendix), ATMP development processes are KiPs. Yet, exist- ing solutions from knowledge intensive BPM do not address our problem, as discussed in the following paragraphs. For applications of BPM to be successful, adapted process management approaches that fits to the characteristics of specific process under consideration is vital [4]. This leads us to the Main Research Question. Main Research Question: How to support preclinical ATMP development processes with BPM in order to help scientists manage regulatory aspects of development pro- cess more efficiently and effectively? The focus of this project is to support scientists in working towards regulatory compliance. For traditional business processes, business process compliance is a well-studied area of research within BPM [5]. There are also significant efforts on compliance management for flexible and KiPs [6, 7, 8]. However, the regulatory requirements for ATMPs have a different nature compared to regulatory requirements for other domains. They are stated as high-level goals, rather than specifying “how” the development process should be performed. Therefore, it is not possible to formalize the ATMP regulations with traditional formalisms, such as the ones in[5]. Moreover, expert interpretation is required for compliance assessment, which makes the assessment flexible. Therefore, a traditional business process compliance management approach is not feasible for this case and a different approach is required. Hence, RQ-1 is formulated. RQ-1: How to align scientific development processes with regulatory requirements to help scientists plan the development process? RQ-1 aims to support scientists in creating a process plan that is in line with the regulatory compliance requirements. To formalize the ATMP regulatory requirements, I will use goal models and to represent development process plan, I will use flexible process models. Here, the challenge arises from the variability of ATMP regulations. ATMP regulatory requirements vary with respect to the context of development (See Section 1 for the definition of context) and this variability should be represented in the goal models. My intention is to introduce contextual goal models [9] for this purpose. I will also investigate context modelling approaches in BPM [10, 11]. Additionally, applicable regulatory requirements are determined as the context becomes certain throughout the process. So, the requirements are flexible. Therefore, I propose to develop a method that will check the alignment between the scientific development process plan and the goal model of the predefined context and provide recommendations (e.g., prioritization of activities that support multiple goals and/or that should be performed for a wide range of potential future contexts) to make sure the process plan addresses regulatory goals in an efficient and effective way. In BPM, there exists previous studies to align goal models and process models [12, 13, 14, 15, 16]. Also, the concept of context is not new in BPM [11, 10, 4]. However, our intention here is not only to align the goal and process models or design context-aware processes but also to provide recommendations for better alignment between the process and its goals and creation of an efficient process plan. Additionally, the focus of our method is to support regulatory compliance, which is a different setting compared to model alignment and context-awareness studies in BPM. Building upon RQ-1, RQ-2 focuses on providing regulatory compliance support during execution of the scientific development process, formulated as below. RQ-2: How to provide insights about the achievement of regulatory goals during the scientific development process to support scientists in making decisions about the adjustment of the planned development process? The method will provide insights about how the results obtained throughout development process contribute to the achievement of regulatory goals. Based on this insight, the expert will be able to make informed decisions about the adjustment of the development plan, e.g. changing the context or redoing process steps. This insight will be provided by reasoning with goal models[17]. Since regulatory goals in ATMP development do not indicate crisp boundaries and values for assessment, the reasoning approach will be enhanced by fuzzy decision making approaches. In BPM, there are some approaches developed for guiding KiPs in adjustment decisions, that are relevant for RQ-2 [18, 19, 20, 21]. However, these approaches support decisions based on historical knowledge about previous cases. ATMP development is a new field with also a huge variability between different projects. Also, no historical data from previous projects is available for use. Therefore, existing approaches are not suitable for our project. Consequently, input from experts will be used to make the adjustment decisions. Lastly, RQ-3 will be answered to evaluate the methods developed. RQ-3: How can the proposed methods be evaluated? This PhD project is a part of Horizon2020 iPSpine project1 , in which an ATMP for lower back pain is being developed. The methods will be demonstrated on the iPSpine process management platform, to be developed for iPSpine project, and evaluated by questionnaires with scientists using the platform. Please see Figure 3 in the Appendix for the positioning of research questions. 1 https://ipspine.eu/ 3. Research Methodology The proposed research methodology, explained on Figure 1, is based on the design science research framework created by Hevner et al.[22]. Figure 1: Research Framework 4. Scientific Importance and Relevance to BPM The PhD project helps to improve the efficiency and effectiveness of ATMP development processes, by developing a BPM-based approach that supports scientists in managing regulatory aspects of ATMP development processes in a structured way. Thereby, from the BPM point of view,this PhD project provide an exemplary approach for supporting compliance management in flexible KiPs with vague and flexible regulatory requirements. References [1] EMA, Advanced therapy medicinal products: Overview, 2020. URL: https://www.ema.europa.eu/en/human-regulatory/overview/ advanced-therapy-medicinal-products-overview. [2] M. Elsallab, C. A. Bravery, A. Kurtz, M. Abou-El-Enein, Mitigating deficiencies in evidence during regulatory assessments of advanced therapies: A comparative study with other biologicals, Molecular Therapy - Methods and Clinical Development 18 (2020). [3] C. D. Ciccio, A. Marrella, A. Russo, Knowledge-intensive processes: Characteristics, requirements and analysis of contemporary approaches, Journal on Data Semantics 4 (2015). [4] S. Zelt, J. Recker, T. Schmiedel, J. vom Brocke, A theory of contingent business process management, Business Process Management Journal 25 (2019) 1291–1316. [5] M. Hashmi, G. Governatori, H. P. Lam, M. T. Wynn, Are we done with business process compliance: state of the art and challenges ahead, Knowledge and Information Systems 57 (2018) 79–133. [6] T. T. T. Kim, E. Weiss, C. Ruhsam, C. Czepa, H. Tran, U. Zdun, Embracing process compliance and flexibility through behavioral consistency checking in ACM: A repair service management case, Lecture Notes in Business Information Processing 256 (2016) 43–54. [7] A. Zasada, A Box of Bricks for Modelling Domain-Specific Compliance Pattern, Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW 2018- October (2018) 37–42. [8] A. Holfter, S. Haarmann, L. Pufahl, M. Weske, Checking Compliance in Data-Driven Case Management, volume 362 LNBIP, Springer International Publishing, 2019. [9] A goal-based framework for contextual requirements modeling and analysis, Requirements Engineering 15 (2010) 439–458. [10] T. D. C. Mattos, F. M. Santoro, K. Revoredo, V. T. Nunes, A formal representation for context-aware business processes, Computers in Industry 65 (2014) 1193–1214. [11] M. Rosemann, J. Recker, C. Flender, Contextualisation of business processes, International Journal of Business Process Integration and Management 3 (2008) 47–60. [12] A. Van Lamsweerde, Goal-oriented requirements engineering: A guided tour, Proceedings of the IEEE International Conference on Requirements Engineering (2001) 249–261. [13] A. R. Silva, V. García-Díaz, Integrating activity- and goal-based workflows: A data model based design method, Lecture Notes in Business Information Processing 256 (2016) 352–363. [14] G. Poels, K. Decreus, B. Roelens, M. Snoeck, Research review: Investigating goal-oriented requirements engineering for business processes, Journal of Database Management 24 (2013) 35–71. [15] P. Kueng, Goal-based business process models: Creation and evaluation, Business Process Management Journal 3 (1997) 17–38. [16] R. Guizzardi, A. N. Reis, A method to align goals and business processes, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 9381 (2015) 79. [17] P. Giorgini, J. Mylopoulos, E. Nicchiarelli, R. Sebastiani, Reasoning with goal models, Lec- ture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2503 (2002) 167–181. [18] B. Weber, W. Wild, R. Breu, CBRFlow: Enabling adaptive workflow management through conversational case-based reasoning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3155 (2004) 434–448. [19] I. Barba, B. Weber, C. Del Valle, A. Jiménez-Ramírez, User recommendations for the optimized execution of business processes, Data & Knowledge Engineering 86 (2013) 61–84. [20] S. Voorberg, R. Eshuis, W. van Jaarsveld, G. J. van Houtum, Decision support for declarative artifact-centric process models, volume 360, Springer International Publishing, 2019. [21] S. Huber, M. Fietta, S. Hof, Next step recommendation and prediction based on process mining in adaptive case management, ACM International Conference Proceeding Series 23-24-April-2015 (2015). [22] A. R. Hevner, S. T. March, J. Park, S. Ram, Design science in information systems research, MIS Quarterly 28 (2004) 75–79. A. Appendix Figure 2: ATMP Development Process & Stakeholders (Stakeholders and Scope of PhD Project in bold) Figure 3: Research Questions Table 1 Characteristics of KiPs and Relevance for ATMP Development Processes Characteristics of Characteristics Description ATMP Development Processes KiPs Knowledge-driven The status and availability of data In many cases, emerging knowl- and knowledge objects drive hu- edge/data together with scientists’ man decision making and directly interpretation determine flow of influence the flow of process ac- process actions. tions and events. Unpredictable The exact activity, event and knowl- ATMP development is an ex- edge flow depends on situation- ploratory process. Neither the and context-specific elements that process nor the knowledge related may not be known a priori, may to the product being developed can change during process execution, be fully prescribed a priori. and may vary over different process cases. Emergent The actual course of actions gradu- It is a search process where realiza- ally emerges during process execu- tions throughout the process and tion and is determined step by step, availability of certain data/knowl- when more information is available edge shape the process step by step. Constraint- and rule- Process participants may be influ- Compliance regulations and related driven enced by or may have to com- guidelines should be taken into con- ply with constraints and rules that sideration throughout the process. drive actions performance and de- cision making. Non-repeatable The process instance undertaken to Development processes are hardly deal with a specific case or situation repeatable since in every case, sci- is hardly repeatable, i.e., different entific approach, materials used executions of the process vary from and/or aim of the study and hence one another. related process requirements are different. Collaboration- Process creation, management and ATMP development process in- oriented execution occurs in a collaborative volves many partners with differ- multi-user environment, where hu- ent roles: scientists from different man centred and process-related fields, project managers, regulators, knowledge is co-created, shared companies etc. Each stakeholder and transferred by and among contributes to the process. process participants with different roles. Goal-oriented The process evolves through a series Every step (or combination of steps) of intermediate goals or milestones in the ATMP development aim to to be achieved. achieve a certain goal related to the product being developed e.g. achieving certain levels in safety, ef- ficacy, biomechanical properties of the product etc.. Event Driven Process progression is affected by Development process is affected by the occurrence of different kinds the occurrence of different kinds of of events that influence knowledge events which may be resulting from workers’ decision making. other scientific or project related ac- tions.