Surgical Workflow Management Schemata for Cataract Procedures

2012 ◽  
Vol 51 (05) ◽  
pp. 371-382 ◽  
Author(s):  
P. Liebmann ◽  
P. Wiedemann ◽  
J. Meixensberger ◽  
T. Neumuth
Keyword(s):  
Process Model ◽  
Workflow Management ◽  
Surgical Techniques ◽  
High Variability ◽  
Process Models ◽  
Work Flow ◽  
Surgical Workflow ◽  
Design And Implementation ◽  
Surgical Process Model ◽  
Learning Sets

SummaryObjective: Workflow guidance of surgical activities is a challenging task. Because of variations in patient properties and applied surgical techniques, surgical processes have a high variability. The objective of this study was the design and implementation of a surgical workflow management system (SWFMS) that can provide a robust guidance for surgical activities. We investigated how many surgical process models are needed to develop a SWFMS that can guide cataract surgeries robustly.Methods: We used 100 cases of cataract surgeries and acquired patient-individual surgical process models (iSPMs) from them. Of these, randomized subsets iSPMs were selected as learning sets to create a generic surgical process model (gSPM). These gSPMs were mapped onto workflow nets as work-flow schemata to define the behavior of the SWFMS. Finally, 10 iSPMs from the disjoint set were simulated to validate the workflow schema for the surgical processes. The measurement was the successful guidance of an iSPM.Results: We demonstrated that a SWFMS with a workflow schema that was generated from a subset of 10 iSPMs is sufficient to guide approximately 65% of all surgical processes in the total set, and that a subset of 50 iSPMs is sufficient to guide approx. 80% of all processes.Conclusion: We designed a SWFMS that is able to guide surgical activities on a detailed level. The study demonstrated that the high inter-patient variability of surgical processes can be considered by our approach.

Database Support for Workflow Management Systems

2009 ◽  
pp. 208-213
Author(s):  
Francisco A.C. Pinheiro
Keyword(s):  
Process Model ◽  
Reference Model ◽  
Workflow Management ◽  
Process Models ◽  
Formal Structure ◽  
Work Processes ◽  
Software Applications ◽  
Process Enactment ◽  
Workflow Management Coalition ◽  
Process Structure

A workflow is a series of work processes performed under rules that reflect the formal structure of the organization in which they are carried out and the relationships between their various parts. Workflow applications are software applications used to automate part of workflow processes. They run under the control of a workflow management system (WfMS). The WfMS usually comprises an organizational model, describing the process structure, and a process model, describing the process logic. The Workflow Management Coalition (WfMC, 2008) publishes a set of workflow definitions and related material, including a reference model. Databases are commonly used as a WfMS supporting technology. Not only workflow data are maintained in databases but also the rules governing processes can be stored in database schemas. Database functionality can be used both for defining and managing process models as well as for environment notification and process enactment. This article shows how particular database-related technologies can be used to support WfMS.

scholarly journals Surgical process modeling

2017 ◽  
Vol 2 (3) ◽  
pp. 123-137 ◽  
Author(s):  
Thomas Neumuth
Keyword(s):  
Big Data ◽  
Workflow Management ◽  
Minimal Invasive ◽  
Use Cases ◽  
Process Models ◽  
Surgical Interventions ◽  
Surgical Workflow ◽  
Number Of Patients ◽  
Art Research ◽  
The One

AbstractDue to the rapidly evolving medical, technological, and technical possibilities, surgical procedures are becoming more and more complex. On the one hand, this offers an increasing number of advantages for patients, such as enhanced patient safety, minimal invasive interventions, and less medical malpractices. On the other hand, it also heightens pressure on surgeons and other clinical staff and has brought about a new policy in hospitals, which must rely on a great number of economic, social, psychological, qualitative, practical, and technological resources. As a result, medical disciplines, such as surgery, are slowly merging with technical disciplines. However, this synergy is not yet fully matured. The current information and communication technology in hospitals cannot manage the clinical and operational sequence adequately. The consequences are breaches in the surgical workflow, extensions in procedure times, and media disruptions. Furthermore, the data accrued in operating rooms (ORs) by surgeons and systems are not sufficiently implemented. A flood of information, “big data”, is available from information systems. That might be deployed in the context of Medicine 4.0 to facilitate the surgical treatment. However, it is unused due to infrastructure breaches or communication errors. Surgical process models (SPMs) alleviate these problems. They can be defined as simplified, formal, or semiformal representations of a network of surgery-related activities, reflecting a predefined subset of interest. They can employ different means of generation, languages, and data acquisition strategies. They can represent surgical interventions with high resolution, offering qualifiable and quantifiable information on the course of the intervention on the level of single, minute, surgical work-steps. The basic idea is to gather information concerning the surgical intervention and its activities, such as performance time, surgical instrument used, trajectories, movements, or intervention phases. These data can be gathered by means of workflow recordings. These recordings are abstracted to represent an individual surgical process as a model and are an essential requirement to enable Medicine 4.0 in the OR. Further abstraction can be generated by merging individual process models to form generic SPMs to increase the validity for a larger number of patients. Furthermore, these models can be applied in a wide variety of use-cases. In this regard, the term “modeling” can be used to support either one or more of the following tasks: “to describe”, “to understand”, “to explain”, to optimize”, “to learn”, “to teach”, or “to automate”. Possible use-cases are requirements analyses, evaluating surgical assist systems, generating surgeon-specific training-recommendation, creating workflow management systems for ORs, and comparing different surgical strategies. The presented chapter will give an introduction into this challenging topic, presenting different methods to generate SPMs from the workflow in the OR, as well as various use-cases, and state-of-the-art research in this field. Although many examples in the article are given according to SPMs that were computed based on observations, the same approaches can be easily applied to SPMs that were measured automatically and mined from big data.

scholarly journals Lightweight Interacting Patient Treatment Processes

2012 ◽  
Vol 2 (4) ◽  
pp. 1-19 ◽  
Author(s):  
Ronny Mans ◽  
Wil van der Aalst ◽  
Nick Russell ◽  
Piet Bakker ◽  
Arnold Moleman
Keyword(s):  
Process Model ◽  
Single Case ◽  
Workflow Management ◽  
Work Flow ◽  
Patient Treatment ◽  
Light Weight ◽  
Treatment Processes ◽  
Traditional Production ◽  
Electronic Prescriptions ◽  
Different Levels

Processes concerning the diagnosis and treatment of patients cannot be straightjacketed into traditional production-like workflows. They can be best characterized as weakly-connected interacting light-weight workflows where tasks reside at different levels of granularity, and for each individual patient a doctor proceeds in a step-by-step way deciding what next steps be taken. Classical workflow notations fall short in supporting these patient processes as they have been designed to support monolithic processes. Classical notations (WF-nets (work flow nets), BPMN (Business Process Model and Notation), EPCs (Electronic Prescriptions for Controlled Substances), etc.) assume that a workflow process can be modeled by specifying the life-cycle of a single case in isolation. To address these problems, the authors present an extension of the Proclets framework which allows for dividing complex entangled processes into simple autonomous fragments. Additionally, increased emphasis is placed on interaction related aspects such that fragment instances for individual patients can cooperate in any desired way. The authors describe an implementation of the Proclets framework. Proclets have been added to the open-source Workflow Management System YAWL to better support inter-workflow support functionalities.

AN INTEGRATED LIFE CYCLE FOR WORKFLOW MANAGEMENT BASED ON LEARNING AND PLANNING

2006 ◽  
Vol 15 (04) ◽  
pp. 485-505 ◽  
Author(s):  
HUGO M. FERREIRA ◽  
DIOGO R. FERREIRA
Keyword(s):  
Process Model ◽  
Business Processes ◽  
Inductive Logic ◽  
Workflow Management ◽  
Process Models ◽  
Planning Techniques ◽  
Successive Refinement ◽  
Business Goals ◽  
Learning Techniques ◽  
Build Time

The ability to describe business processes as executable models has always been one of the fundamental premises of workflow management. Yet, the tacit nature of human knowledge is often an obstacle to eliciting accurate process models. On the other hand, the result of process modeling is a static plan of action, which is difficult to adapt to changing procedures or to different business goals. In this article, we attempt to address these problems by approaching workflow management with a combination of learning and planning techniques. Assuming that processes cannot be fully described at build-time, we make use of learning techniques, namely Inductive Logic Programming (ILP), in order to discover workflow activities and to describe them as planning operators. These operators will be subsequently fed to a partial-order planner in order to find the process model as a planning solution. The continuous interplay between learning, planning and execution aims at arriving at a feasible plan by successive refinement of the operators. The approach is illustrated in two simple scenarios. Following a discussion of related work, the paper concludes by presenting the main challenges that remain to be solved.

scholarly journals Towards a framework for standardized semantic workflow modeling and management in the surgical domain

2015 ◽  
Vol 1 (1) ◽  
pp. 172-175 ◽  
Author(s):  
Juliane Neumann ◽  
Thomas Neumuth
Keyword(s):  
Workflow Management ◽  
Process Models ◽  
Work Flow ◽  
Workflow Modeling ◽  
Management Support ◽  
Machine Readable ◽  
Process Elements ◽  
Underlying Processes ◽  
Readable Format ◽  
Machine Readable Format

AbstractAn essential aspect for workflow management support in operating room environments is the description and visualization of the underlying processes and activities in a machine readable format as Surgical Process Models (SPM). However, the process models often vary in terms of granularity, naming and representation of process elements and their modeling structure. The aim of this paper is to present a new methodology for standardized semantic workflow modeling and a framework for semantic work-flow execution and management in the surgical domain.

scholarly journals Detecting Difference between Process Models Based on the Refined Process Structure Tree

2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Jing Fan ◽  
Jiaxing Wang ◽  
Weishi An ◽  
Bin Cao ◽  
Tianyang Dong
Keyword(s):  
Business Process ◽  
Process Model ◽  
Workflow Management ◽  
Process Models ◽  
Divide And Conquer ◽  
Detection Methods ◽  
Structure Tree ◽  
The Difference ◽  
The Cost ◽  
Process Structure

The development of mobile workflow management systems (mWfMS) leads to large number of business process models. In the meantime, the location restriction embedded in mWfMS may result in different process models for a single business process. In order to help users quickly locate the difference and rebuild the process model, detecting the difference between different process models is needed. Existing detection methods either provide a dissimilarity value to represent the difference or use predefined difference template to generate the result, which cannot reflect the entire composition of the difference. Hence, in this paper, we present a new approach to solve this problem. Firstly, we parse the process models to their corresponding refined process structure trees (PSTs), that is, decomposing a process model into a hierarchy of subprocess models. Then we design a method to convert the PST to its corresponding task based process structure tree (TPST). As a consequence, the problem of detecting difference between two process models is transformed to detect difference between their corresponding TPSTs. Finally, we obtain the difference between two TPSTs based on the divide and conquer strategy, where the difference is described by an edit script and we make the cost of the edit script close to minimum. The extensive experimental evaluation shows that our method can meet the real requirements in terms of precision and efficiency.

scholarly journals Movement-level process modeling of microsurgical bimanual and unimanual tasks

2021 ◽  
Author(s):  
Jani Koskinen ◽  
Antti Huotarinen ◽  
Antti-Pekka Elomaa ◽  
Bin Zheng ◽  
Roman Bednarik
Keyword(s):  
Process Model ◽  
Objective Evaluation ◽  
Process Models ◽  
Surgical Instruments ◽  
Left Hand ◽  
Surgical Process Model ◽  
Surgical Trainees ◽  
Hand Tool ◽  
Novices And Experts ◽  
The Right

Abstract Purpose Microsurgical techniques require highly skilled manual handling of specialized surgical instruments. Surgical process models are central for objective evaluation of these skills, enabling data-driven solutions that can improve intraoperative efficiency. Method We built a surgical process model, defined at movement level in terms of elementary surgical actions ($$n=4$$ n = 4 ) and targets ($$n=4$$ n = 4 ). The model also included nonproductive movements, which enabled us to evaluate suturing efficiency and bi-manual dexterity. The elementary activities were used to investigate differences between novice ($$n=5$$ n = 5 ) and expert surgeons ($$n=5$$ n = 5 ) by comparing the cosine similarity of vector representations of a microsurgical suturing training task and its different segments. Results Based on our model, the experts were significantly more efficient than the novices at using their tools individually and simultaneously. At suture level, the experts were significantly more efficient at using their left hand tool, but the differences were not significant for the right hand tool. At the level of individual suture segments, the experts had on average 21.0 % higher suturing efficiency and 48.2 % higher bi-manual efficiency, and the results varied between segments. Similarity of the manual actions showed that expert and novice surgeons could be distinguished by their movement patterns. Conclusions The surgical process model allowed us to identify differences between novices’ and experts’ movements and to evaluate their uni- and bi-manual tool use efficiency. Analyzing surgical tasks in this manner could be used to evaluate surgical skill and help surgical trainees detect problems in their performance computationally.

scholarly journals Mining workflow processes from distributed workflow enactment event logs

2012 ◽  
pp. 528-553
Keyword(s):  
Process Model ◽  
Process Mining ◽  
Workflow Management ◽  
Computer Software ◽  
Structural Data ◽  
Control Flow ◽  
Process Models ◽  
Distributed Workflow ◽  
Workflow Mining ◽  
Event Logs

Workflow management systems help to execute, monitor and manage work process flow and execution. These systems, as they are executing, keep a record of who does what and when (e.g. log of events). The activity of using computer software to examine these records, and deriving various structural data results is called workflow mining. The workflow mining activity, in general, needs to encompass behavioral (process/control-flow), social, informational (data-flow), and organizational perspectives; as well as other perspectives, because workflow systems are "people systems" that must be designed, deployed, and understood within their social and organizational contexts. This paper particularly focuses on mining the behavioral aspect of workflows from XML-based workflow enactment event logs, which are vertically (semantic-driven distribution) or horizontally (syntactic-driven distribution) distributed over the networked workflow enactment components. That is, this paper proposes distributed workflow mining approaches that are able to rediscover ICN-based structured workflow process models through incrementally amalgamating a series of vertically or horizontally fragmented temporal workcases. And each of the approaches consists of a temporal fragment discovery algorithm, which is able to discover a set of temporal fragment models from the fragmented workflow enactment event logs, and a workflow process mining algorithm which rediscovers a structured workflow process model from the discovered temporal fragment models. Where, the temporal fragment model represents the concrete model of the XML-based distributed workflow fragment events log.

Politikvermittlung an der Schnittstelle von Unterhaltung und Information : Political communication at the interface of entertainment and information

SPIEL ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 121-145
Author(s):  
Larissa Leonhard ◽  
Anne Bartsch ◽  
Frank M. Schneider
Keyword(s):  
Information Processing ◽  
Political Participation ◽  
Knowledge Acquisition ◽  
Political Communication ◽  
Information Seeking ◽  
Process Model ◽  
Political Information ◽  
Process Models ◽  
Dual Process ◽  
Dual Process Model

This article presents an extended dual-process model of entertainment effects on political information processing and engagement. We suggest that entertainment consumption can either be driven by hedonic, escapist motivations that are associated with a superficial mode of information processing, or by eudaimonic, truth-seeking motivations that prompt more elaborate forms of information processing. This framework offers substantial extensions to existing dual-process models of entertainment by conceptualizing the effects of entertainment on active and reflective forms of information seeking, knowledge acquisition and political participation.

Toward Metamodels for Composable and Reusable Additive Manufacturing Process Models

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
Paul Witherell ◽  
Shaw Feng ◽  
Timothy W. Simpson ◽  
David B. Saint John ◽  
Pan Michaleris ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Metal Powder ◽  
Manufacturing Process ◽  
Process Model ◽  
Model Development ◽  
Process Models ◽  
Powder Bed Fusion ◽  
Powder Bed ◽  
Future Work ◽  
Am Processes

In this paper, we advocate for a more harmonized approach to model development for additive manufacturing (AM) processes, through classification and metamodeling that will support AM process model composability, reusability, and integration. We review several types of AM process models and use the direct metal powder bed fusion AM process to provide illustrative examples of the proposed classification and metamodel approach. We describe how a coordinated approach can be used to extend modeling capabilities by promoting model composability. As part of future work, a framework is envisioned to realize a more coherent strategy for model development and deployment.

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