scholarly journals Modeling clinical activities based on multi-perspective declarative process mining with openEHR’s characteristic

2020 ◽  
Vol 20 (S14) ◽  
Author(s):  
Haifeng Xu ◽  
Jianfei Pang ◽  
Xi Yang ◽  
Jinghui Yu ◽  
Xuemeng Li ◽  
...  
Keyword(s):  
Medical Service ◽  
Time Perspective ◽  
Process Mining ◽  
Control Flow ◽  
Healthcare Personnel ◽  
Relationship Matrix ◽  
Conformance Checking ◽  
Stroke Treatment ◽  
Medical Facilities

Abstract Background It is significant to model clinical activities for process mining, which assists in improving medical service quality. However, current process mining studies in healthcare pay more attention to the control flow of events, while the data properties and the time perspective are generally ignored. Moreover, classifying event attributes from the view of computers usually are difficult for medical experts. There are also problems of model sharing and reusing after it is generated. Methods In this paper, we presented a constraint-based method using multi-perspective declarative process mining, supporting healthcare personnel to model clinical processes by themselves. Inspired by openEHR, we classified event attributes into seven types, and each relationship between these types is represented in a Constrained Relationship Matrix. Finally, a conformance checking algorithm is designed. Results The method was verified in a retrospective observational case study, which consists of Electronic Medical Record (EMR) of 358 patients from a large general hospital in China. We take the ischemic stroke treatment process as an example to check compliance with clinical guidelines. Conformance checking results are analyzed and confirmed by medical experts. Conclusions This representation approach was applicable with the characteristic of easily understandable and expandable for modeling clinical activities, supporting to share the models created across different medical facilities.

Determine Execution Time and Selection Probabilities in Process Mining via Petri Nets

2013 ◽  
Vol 760-762 ◽  
pp. 1951-1958 ◽  
Author(s):  
Huan Zhou ◽  
Chuang Lin ◽  
Yi Ping Deng ◽  
Zi Cheng Wan
Keyword(s):  
Decision Making ◽  
Petri Net ◽  
Time Perspective ◽  
Process Mining ◽  
Research Process ◽  
Path Selection ◽  
Control Flow ◽  
Selection Probabilities ◽  
Delay Prediction ◽  
Novel Algorithm

In process mining research, process discovery techniques can produce or rebuild models with the information from logs. There are already algorithms supporting control-flow perspective mining which focus on the order of events and provide understanding workflow paths. But few of them take time perspective and path selection probabilities into consideration, which are important in performance evaluating, delay prediction, decision making, as well as process redesigning and optimizing. This paper provides a novel algorithm which determines the information of time perspective and selection probabilities from a log and integrates them with the control-flow perspective. By applying this algorithm, a stochastic Petri net is provided which is useful in performance analyzing and process optimizing.

scholarly journals Simplified Process Model Discovery Based on Role-Oriented Genetic Mining

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Weidong Zhao ◽  
Xi Liu ◽  
Weihui Dai
Keyword(s):  
Process Model ◽  
Process Mining ◽  
Fitness Function ◽  
Control Flow ◽  
Process Models ◽  
Programming Approach ◽  
Event Logs ◽  
Process Complexity

Process mining is automated acquisition of process models from event logs. Although many process mining techniques have been developed, most of them are based on control flow. Meanwhile, the existing role-oriented process mining methods focus on correctness and integrity of roles while ignoring role complexity of the process model, which directly impacts understandability and quality of the model. To address these problems, we propose a genetic programming approach to mine the simplified process model. Using a new metric of process complexity in terms of roles as the fitness function, we can find simpler process models. The new role complexity metric of process models is designed from role cohesion and coupling, and applied to discover roles in process models. Moreover, the higher fitness derived from role complexity metric also provides a guideline for redesigning process models. Finally, we conduct case study and experiments to show that the proposed method is more effective for streamlining the process by comparing with related studies.

scholarly journals Object-Centric Replay-Based Conformance Checking: Unveiling Desire Lines and Local Deviations

2021 ◽  
Vol 28 (2) ◽  
pp. 146-168
Author(s):  
Julio C Carrasquel ◽  
Khalil Mecheraoui
Keyword(s):  
Petri Net ◽  
Process Mining ◽  
Specific Model ◽  
Conformance Checking ◽  
Trading Systems ◽  
Event Logs ◽  
Multiple Process ◽  
Real Behavior ◽  
Model Components

Conformance checking methods diagnose to which extent a real system, whose behavior is recorded in an event log, complies with its specification model, e.g., a Petri net. Nonetheless, the majority of these methods focus on checking isolated process instances, neglecting interaction between instances in a system. Addressing this limitation, a series of object-centric approaches have been proposed in the field of process mining. These approaches are based on the holistic analysis of the multiple process instances interacting in a system, where each instance is centered on the handling of an object. Inspired by the object-centric paradigm, this paper presents a replay-based conformance checking method which uses a class of colored Petri nets (CPNs) -- a Petri net extension where tokens in the model carry values of some types (colors). Particularly, we consider conservative workflow CPNs which allow to describe the expected behavior of a system whose components are centered on the end-to-end processing of distinguishable objects. For describing a system’s real behavior, we consider event logs whose events have sets of objects involved in the execution of activities. For replay, we consider a jump strategy where tokens absent from input places of a transition to fire move from their current place of the model to the requested places. Token jumps allow to identify desire lines, i.e., object paths unforeseen in the specification. Also, we introduce local diagnostics based on the proportion of jumps in specific model components. The metrics allow to inform the severity of deviations in precise system parts. Finally, we report experiments supported by a prototype of our method. To show the practical value of our method, we employ a case study on trading systems, where orders from users are matched to trade.

scholarly journals Process mining framework with time perspective for understanding acute care: a case study of AIS in hospitals

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jianfei Pang ◽  
Haifeng Xu ◽  
Jun Ren ◽  
Jun Yang ◽  
Mei Li ◽  
...  
Keyword(s):  
Acute Care ◽  
Time Perspective ◽  
Process Mining ◽  
Data Extraction ◽  
Healthcare Providers ◽  
Process Models ◽  
Care Process ◽  
Large Hospital ◽  
Low Efficiency

Abstract Background Acute care for critical illness requires very strict treatment timeliness. However, healthcare providers usually cannot accurately figure out the causes of low efficiency in acute care process due to the lack of effective tools. Besides, it is difficult to compare or conformance processes from different patient groups. Methods To solve these problems, we proposed a novel process mining framework with time perspective, which integrates four steps: standard activity construction, data extraction and filtering, iterative model discovery, and performance analysis. Results It can visualize the execution of actual clinical activities hierarchically, evaluate the timeliness and identify bottlenecks in the treatment process. We take the acute ischemic stroke as a case study, and retrospectively reviewed 420 patients’ data from a large hospital. Then we discovered process models with timelines, and identified the main reasons for in-hospital delay. Conclusions Experiment results demonstrate that the framework proposed could be a new way of drawing insights about hospitals’ clinical process, to help clinical institutions increase work efficiency and improve medical service.

scholarly journals Using a Process Approach to Pandemic Planning: A Case Study

2021 ◽  
Vol 11 (9) ◽  
pp. 4121
Author(s):  
Hana Tomaskova ◽  
Erfan Babaee Tirkolaee
Keyword(s):  
Process Model ◽  
Process Mining ◽  
Process Approach ◽  
Research Topic ◽  
Future Research ◽  
Critical Situation ◽  
Pandemic Planning ◽  
The Difference ◽  
Smart Technologies

The purpose of this article was to demonstrate the difference between a pandemic plan’s textual prescription and its effective processing using graphical notation. Before creating a case study of the Business Process Model and Notation (BPMN) of the Czech Republic’s pandemic plan, we conducted a systematic review of the process approach in pandemic planning and a document analysis of relevant public documents. The authors emphasized the opacity of hundreds of pages of text records in an explanatory case study and demonstrated the effectiveness of the process approach in reengineering and improving the response to such a critical situation. A potential extension to the automation and involvement of SMART technologies or process optimization through process mining techniques is presented as a future research topic.

Lifeline Express: Hospital Train in Rural India

2021 ◽  
pp. 251660422197724
Author(s):  
Jashim Uddin Ahmed ◽  
Saima Siddiqui ◽  
Asma Ahmed ◽  
Kazi Pushpita Mim
Keyword(s):  
Southeast Asia ◽  
Rural Areas ◽  
Medical Service ◽  
Service Industry ◽  
Rural India ◽  
Medical Team ◽  
Rural People ◽  
Quality Healthcare ◽  
The People ◽  
Medical Facilities

India’s medical service industry is an emerging force in Southeast Asia, which should be recognized. A large portion of the country’s GDP is being earned through this sector. Paradoxically, India’s rural sphere has always been highly deprived of medical facilities even in rudimentary level. This huge imbalance was previously an issue for India to reach to a footing through innovation. India still being a developing country has majority of people living in rural areas where quality healthcare is not only difficult to avail but sometimes even hard to access. In such circumstances, an initiative like Lifeline Express (LLE) has provided the people with access to quality healthcare which has been crucially needed. It is a very simple idea but incredibly complex in terms of execution throughout the whole region. The LLE is a hospital which moves throughout rural India in a form of a fully equipped train. Since 1991, this initiative in India has generated some commendable projects through which it has served many rural Indians. Through this case, it will be comprehensible of how the train and the medical team function and will show the limitations and challenges healthcare in India is facing and how LLE has proved its fantastic ability to fight with the constraints and make healthcare reach the doorsteps of the rural people. Despite the challenges and limitations, it is also been revealed how the journey of LLE has grown from a three-coach train to seven-coach train where patients get treatment of many diseases from the early 1990s to this day.

scholarly journals Lifeline Express: Hospital Train in Rural India

2020 ◽  
Vol 2 (2) ◽  
pp. 87-97
Author(s):  
Jashim Uddin Ahmed ◽  
Saima Siddiqui ◽  
Asma Ahmed ◽  
Kazi Pushpita Mim
Keyword(s):  
Southeast Asia ◽  
Rural Areas ◽  
Medical Service ◽  
Service Industry ◽  
Rural India ◽  
Medical Team ◽  
Rural People ◽  
Quality Healthcare ◽  
The People ◽  
Medical Facilities

India’s medical service industry is an emerging force in Southeast Asia, which should be recognized. A large portion of the country’s GDP is being earned through this sector. Paradoxically, India’s rural sphere has always been highly deprived of medical facilities even in rudimentary level. This huge imbalance was previously an issue for India to reach to a footing through innovation. India still being a developing country has majority of people living in rural areas where quality healthcare is not only difficult to avail but sometimes even hard to access. In such circumstances, an initiative like Lifeline Express (LLE) has provided the people with access to quality healthcare which has been crucially needed. It is a very simple idea but incredibly complex in terms of execution throughout the whole region. The LLE is a hospital which moves throughout rural India in a form of a fully equipped train. Since 1991, this initiative in India has generated some commendable projects through which it has served many rural Indians. Through this case, it will be comprehensible of how the train and the medical team function and will show the limitations and challenges healthcare in India is facing and how LLE has proved its fantastic ability to fight with the constraints and make healthcare reach the doorsteps of the rural people. Despite the challenges and limitations, it is also been revealed how the journey of LLE has grown from a three-coach train to seven-coach train where patients get treatment of many diseases from the early 1990s to this day.

Socioeconomic variations and disparity in space–time accessibility in suburban China: A case study of Guangzhou

Urban Studies ◽  
2020 ◽  
pp. 004209802091641
Author(s):  
Zifeng Chen ◽  
Anthony Gar-On Yeh
Keyword(s):  
Structural Equation ◽  
Time Perspective ◽  
Space Time ◽  
Time Constraints ◽  
Service Access ◽  
Service Accessibility ◽  
Home Based ◽  
Household Heads ◽  
And Gender

The concept of conventional place-based accessibility, despite being well researched, tends to ignore people’s space–time constraints arising from mandatory activities (e.g. work and household duties), which confine people’s potential movement and delimit the accessible opportunities. As people with different socioeconomic statuses may have different space–time constraints even while living in similar locations, using the place-based measures could lead to an underestimation of accessibility inequality. This study applies a space–time measure to unravel the disparities in service accessibility in suburban China. Since the late 1970s, suburbanisation in Chinese cities has fostered income inequality and has elevated other dimensions (e.g. institutional status and gender) of disparity within each income class. Within this context, we conduct a case study of suburban neighbourhoods in Guangzhou, based on the activity diary data derived from a home-based questionnaire survey. Findings indicate that the use of a space–time measure effectively captures the disparities in service accessibility among residents in suburban Guangzhou. On the basis of structural equation modelling, we further identify that certain socioeconomic groups (e.g. high-income residents, public sector workers, local hukou holders, male household heads and welfare housing residents) tend to experience fewer space–time constraints from rigid activities, such as work, commuting and household duties, and are thus more advantaged in accessing service facilities. These findings imply that urban planning should address the space–time perspective to promote equal service access for the highly heterogeneous social groups in suburban China and to incorporate time-sensitive policies (e.g. flexitime policies).

Translation teams as cognitive systems

2021 ◽  
Vol 8 (2) ◽  
pp. 307-327
Author(s):  
Richard Pleijel
Keyword(s):  
Cognitive Processes ◽  
Cognitive Process ◽  
Time Perspective ◽  
Focal Point ◽  
Translation Studies ◽  
Cognitive Systems ◽  
Group Level ◽  
Cognitive Artifacts ◽  
Archival Material

Abstract This paper aims to bring research on different forms of group-level cognition into conversation with Cognitive Translation Studies (CTS), the focal point of the paper being cognitive processes in translation teams. It is argued that an analysis of cognition in translation teams, which exhibit the properties of a cognitive system, needs to be placed on group-level. A case study of a team, translating the Hebrew Bible Book of Psalms into Swedish in the 1980’s, is presented. The empirical base for the case study consists of archival material in the form of draft translations and paratexts. The methodological question is thus raised whether, and if so in what way, cognitive processes may be analyzed retrospectively, and not only from a real time perspective. By treating the archival material as cognitive artifacts which have constituted an integral part of the team’s cognitive process, the question is tentatively answered in a favourable way. This, it is finally argued, opens up interesting possibilities for joining CTS with translator archives research, Genetic Translation Studies (GTS), and cognitive archeology.

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