Research and Development of Semantics-based Sharable Clinical Pathway Systems

Wang, Hua-Qiong; Zhou, Tianshu; Zhang, Yifan; Chen, Li; Li, Jingsong

doi:10.1007/s10916-015-0257-8

Cited by 10 publications

(9 citation statements)

References 31 publications

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“…To our knowledge, although there are extensive researches to computerize CPs [21,22,23], no study has focused on modeling or standardizing paper-based Chinese standard CPs. Consistent with data structure of Chinese EHR Standard, we have built archetype models of openCP and standardized archetype terms and metadata, and evaluate the functionality of openCP.…”

Section: Discussionmentioning

confidence: 99%

Development of an Open Metadata Schema for Clinical Pathway (openCP) in China

Xu¹,

Zhu²,

Geng³

2018

Methods Inf Med

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Summary Background: By the end of the first quarter of 2017, 1212 standard Clinical Pathways (CPs) had been developed and implemented in China since 2009, however, Chinese standard CPs are still paper-based CPs. Objectives: To optimize the data structure and content of Chinese standard CPs based on Chinese health standards by two-level modeling approach and archetype method, and develop an Open Metadata Schema for Clinical Pathway (openCP) in China. Methods: We chose 43 diseases covering 7 departments of internal medicine as samples and source materials including Respiratory, Gastroenterology, Neurology, Cardiology, Nephrology, Endocrinology, and Hematology, and we followed 4 steps to develop openCP: identify reference model of openCP; develop archetype models; standardize archetype terms and metadata; and evaluate its functionality. Results: We have built hierarchical reference model and archetypes of openCP, created and standardized archetype terms and metadata, and evaluate the functionality of openCP. The qualitative comments from 5 doctors were inspiring. Discussion and Conclusions: Medical staff may easily build localized CPs in openCP which can be integrated into EHR systems and shared among different hospitals and clinics.

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Section: Discussionmentioning

confidence: 99%

Development of an Open Metadata Schema for Clinical Pathway (openCP) in China

Xu¹,

Zhu²,

Geng³

2018

Methods Inf Med

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“…62,92,93 CDRs draw on evidence from guidelines to provide operationalised and efficient approaches to assessing probabilities for diagnostic, treatment and prognostic decisions integrated into the clinical pathway. 69,[92][93][94] The rules help to establish pretest probability, provide simple screening tests for common problems and estimate risk. 62,95 Caremap.…”

Section: The Taxonomy For Evidence-based Clinical Care Processesmentioning

confidence: 99%

Towards standardisation of evidence-based clinical care process specifications

McLachlan

Kyrimi

Dube

et al. 2020

Health Informatics J

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There is a strong push towards standardisation of treatment approaches, care processes and documentation of clinical practice. However, confusion persists regarding terminology and description of many clinical care process specifications which this research seeks to resolve by developing a taxonomic characterisation of clinical care process specifications. Literature on clinical care process specifications was analysed, creating the starting point for identifying common characteristics and how each is constructed and used in the clinical setting. A taxonomy for clinical care process specifications is presented. The De Bleser approach to limited clinical care process specifications characterisation was extended and each clinical care process specification is successfully characterised in terms of purpose, core elements and relationship to the other clinical care process specification types. A case study on the diagnosis and treatment of Type 2 Diabetes in the United Kingdom was used to evaluate the taxonomy and demonstrate how the characterisation framework applies. Standardising clinical care process specifications ensures that the format and content are consistent with expectations, can be read more quickly and high-quality information can be recorded about the patient. Standardisation also enables computer interpretability, which is important in integrating Learning Health Systems into the modern clinical environment. The approach presented allows terminologies for clinical care process specifications that were widely used interchangeably to be easily distinguished, thus, eliminating the existing confusion.

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“…In recent years, the monitoring and prediction methods of clinical pathway variance have developed diversely. Wang et al developed a probabilistic topic model that links patients' characteristics to treatment behavior, detects local anomalies from logs, and mines the mutations hidden in electronic medical records (EMR) [12]. Bezzini et al used machine learning algorithms to learn data-driven and time-based clinical pathways for predicting future states with and without time information [13].…”

Section: ) the Studies Of Clinical Pathway Monitoring And Predictionmentioning

confidence: 99%

“…However, this approach was still limited to independent hospital systems. Reference [12] In addition, Little-JIL also became an important approach for online audit of essential / critical treatment behavior.…”

Section: ) Main Research Factorsmentioning

confidence: 99%

Variance Analysis and Handling of Clinical Pathway: An Overview of the State of Knowledge

Huang

Zhou

2020

IEEE Access

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Clinical pathway is a multi-disciplinary treatment plan and work mode, which is favorable for improving healthcare service quality and reducing medical costs. Most of references demonstrate that variance analysis and handling is the key to clinical pathway management. Thus, the clinical pathway variance has become the focus of scholars. This paper uses the text mining technique to present a literature review of 496 academic articles in the field of clinical pathway variance analysis and handling, which published between 1994 and 2018. Moreover, this paper conducts a bibliometric analysis to visualize the clinical pathway variance research. In variance analysis and handling, there are a lot of imprecise knowledge and fuzzy relations to be reasoned with knowledge of different domains. In this study, methods of clinical pathway variance analysis and handling are illustrated. In addition, this paper points out the limitations of each method. Based on the results, the future prospects of clinical pathway variance analysis and handling research is proposed.INDEX TERMS Clinical pathway, processing methods, text mining, variance. III. TEMPORAL, SPATIAL AND AUTHOR DISTRIBUTION OF CLINICAL VARIANCE RESEARCH A. TEMPORAL DISTRIBUTION

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Research and Development of Semantics-based Sharable Clinical Pathway Systems

Cited by 10 publications

References 31 publications

Development of an Open Metadata Schema for Clinical Pathway (openCP) in China

Development of an Open Metadata Schema for Clinical Pathway (openCP) in China

Towards standardisation of evidence-based clinical care process specifications

Variance Analysis and Handling of Clinical Pathway: An Overview of the State of Knowledge

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