Impact of IT-supported clinical pathways on medical staff satisfaction. A prospective longitudinal cohort study

Electronic health record-supported implementation of an evidence-based pathway for perioperative surgical care

OBJECTIVES

Enhanced recovery pathways (ERPs) are evidence-based approaches to improving perioperative surgical care. However, the role of electronic health records (EHRs) in their implementation is unclear. We examine how EHRs facilitate or hinder ERP implementation.

MATERIALS AND METHODS

We conducted interviews with informaticians and clinicians from US hospitals participating in an ERP implementation collaborative. We used inductive thematic analysis to analyze transcripts and categorized hospitals into 3 groups based on process measure adherence. High performers exhibited a minimum 80% adherence to 6 of 9 metrics, high improvers demonstrated significantly better adherence over 12 months, and strivers included all others. We mapped interrelationships between themes using causal loop diagrams.

RESULTS

We interviewed 168 participants from 8 hospitals and found 3 thematic clusters: (1) "EHR difficulties" with the technology itself and contextual factors related to (2) "EHR enablers," and (3) "EHR barriers" in ERP implementation. Although all hospitals experienced issues, high performers and improvers successfully integrated ERPs into EHRs through a dedicated multidisciplinary team with informatics expertise. Strivers, while enacting some fixes, were unable to overcome individual resistance to EHR-supported ERPs.

DISCUSSION AND CONCLUSION

We add to the literature describing the limitations of EHRs' technological capabilities to facilitate clinical workflows. We illustrate how organizational strategies around engaging motivated clinical teams with informatics training and resources, especially with dedicated technical support, moderate the extent of EHRs' support to ERP implementation, causing downstream effects for hospitals to transform technological challenges into care-improving opportunities. Early and consistent involvement of informatics expertise with frontline EHR clinician users benefited the efficiency and effectiveness of ERP implementation and sustainability.

Exploring Acute Pancreatitis Clinical Pathways Using a Novel Process Mining Method

Mining process models of medical behavior from electronic medical records is an effective way to optimize clinical pathways. However, clinical medical behavior is an extremely complex field with high nonlinearity and variability, and thus we need to adopt a more effective method. In this study, we developed a fuzzy process mining method for complex clinical pathways. Firstly, we designed a multi-level expert classification system with fuzzy values to preserve finer details. Secondly, we categorized medical events into long-term and temporary events for more specific data processing. Subsequently, we utilized electronic medical record (EMR) data of acute pancreatitis spanning 9 years, collected from a large general hospital in China, to evaluate the effectiveness of our method. The results demonstrated that our modeling process was simple and understandable, allowing for a more comprehensive representation of medical intricacies. Moreover, our method exhibited high patient coverage (>0.94) and discrimination (>0.838). These findings were corroborated by clinicians, affirming the accuracy and effectiveness of our approach.

The effectiveness of clinical pathway software in inpatient settings: A systematic review

BACKGROUND

Various studies have assessed the effectiveness of clinical pathways (CPs) in inpatient settings and provided systematic evidence that they positively affect patient outcomes and efficiency of care, thus lowering costs. In recent years, CP implementation is often combined or extended with clinical pathway software (CPS). Until now, no systematic literature review appears to exist which synthesizes the evidence on the effectiveness of CPS in inpatient settings, in relation to the CPs they support.

OBJECTIVES

The purpose of this study was to systematically review evidence on (perceived) effectiveness of clinical pathway software (CPS) and investigate mechanisms explaining the effects of CPS implementation on outcomes.

METHODS

We searched MEDLINE via PubMed and Scopus, for English-language original articles. Articles were included if they examined the effectiveness and/or the perceived effectiveness of CPS in the inpatient setting. They were analyzed for evidence on structure, process and outcome effects, as well as for mechanisms explaining such effects in relation to contextual factors.

RESULTS

From 2904 articles, 12 studies met our inclusion criteria. The seven studies reporting on adherence provide conclusive evidence that CPSs can improve adherence. We also found conclusive evidence of improvement of process related measures regarding appropriate diagnostics, timeliness of care, and length of stay (LOS). Evidence on costs and outcomes is weak and/or less conclusive. This holds true both for patient outcomes (e.g. mortality/patient satisfaction) and caregiver outcomes (e.g. user satisfaction). The studies presented no direct evidence on mechanisms explaining how CPS relate to process and outcome improvements.

CONCLUSIONS

The primary effects of CPS to increase adherence may in turn positively impact other process indicators such as LOS, timeliness of care, and diagnostic effectiveness. Subsequent effects on costs, outcomes for patients, physicians and nurses remain inconclusive and call for further research. Further research should explicitly take context into account. The scarce and weak evidence-base relating CPS implementation to process and outcome effects needs development along the same lines.

Physiotherapists' experiences of managing persons with suspected cauda equina syndrome: Overcoming the challenges

INTRODUCTION

Cauda equina syndrome (CES) is rare, but its symptoms are not and musculoskeletal physiotherapists frequently encounter persons with suspected CES. Given that delayed diagnosis of CES can result in devastating consequences for affected persons and costly litigation for healthcare organisations, it is imperative that persons presenting with suspected CES are well managed. However, this may present a challenge to physiotherapists. Therefore, the aim of this study is to explore physiotherapists' experiences of managing persons with suspected CES.

METHODS

Semi-structured interviews were conducted with musculoskeletal physiotherapists. Verbatim transcripts were analysed using an interpretive paradigm and thematic analysis.

ETHICAL APPROVAL

Ethical approval was obtained from a university Ethics committee and NHS Research and Development.

FINDINGS

Five interlinking themes emerged. The themes of worry in relation to risk management and communication difficulties seemed to represent significant challenges. The remaining themes were described as antidotes to these challenges: Lightening the load with teamwork and shared responsibility, the usefulness of a clear pathway and perception of improved confidence and competence with experience and training.

DISCUSSION

The findings are discussed in the context of other literature, and practical recommendations are made relating to pathway implementation, team working, communication aids, training on CES and measures to care for staff wellbeing.

CONCLUSION

Findings suggest that it is important to be aware of and address the challenges faced by physiotherapists in order to care for clinicians' wellbeing and ensure a safe and smooth journey for persons with suspected CES. Summary Video: https://www.youtube.com/watch?v=lIHqCKIQ1jk&t=90s.

Perceived effectiveness of clinical pathway software: A before-after study in the Netherlands

BACKGROUND

Clinical pathways (CPs) increase in popularity and are known to lead to several benefits in the hospital environment. Clinical pathways can be either paper-based or software-based. It is known that paper-based CPs can result in more paperwork instead of simplifying daily routines of healthcare workers. Insufficient research has been done on the acceptance of software-based CPs by different user groups. Our aim in this study was to assess the effectiveness of the software-based CPs (CPS) from the perspective of healthcare professionals in the hospital environment as well as to investigate the differences in perceived effectiveness between user groups.

METHODS

Using surveys and interviews, data were collected in four departments of an academic medical center. A distinction was made between decision makers (DM) and executive staff (ES). The surveys contained questions based on the Technology Acceptance Model and four objectives of the software defined by the hospital. Statistical tests were used to investigate the effectiveness of CPS and study the differences between DM and ES. Interviews were recorded and transcribed based on grounded theory principals.

RESULTS

After implementation, monitoring protocol-based working was significantly improved (p = .026) and significantly higher efficiency on the work floor was reported (p = .046). ES perceived the software as less useful than expected (Md = 3.25 vs. Md = 2.75, p = .028) compared to DM and were less convinced of its ability to improve monitoring protocol-based working. The most important benefits of CPS as perceived by its users are the better overview of tasks it provides and facilitating documentation. Negative aspects mentioned were the lack of usability and the inflexibility of the software, and particularly ES claimed that the software did not increase their effectiveness.

CONCLUSION

Our study showed that CPS is effective from healthcare professionals' perspective due to its ability to increase monitoring of protocol-based working and by enhancing the efficiency on the work floor. However, the users also acknowledge that the software lacks usability and is not flexible enough, which results in an additional workload. Policy makers should be more focused on informing and training executive staff more thoroughly when implementing a CPS. Our results strongly suggest that executive staff members need to be convinced of its usefulness and the added value a CPS provides. Preferably, they should be involved in the design phase of the software.

Clinical information and guidance shared via a patient infotainment system can reduce hospital stay and maintain 2 medical quality for total knee arthroplasty: A single-blinded quasi-randomised controlled trial

BACKGROUND

The demand for total knee arthroplasty is increasing worldwide. Optimising results and meeting patients' expectations are more challenging than before, because the length of hospitalisation has markedly reduced and the standard care processes have been accelerated. We incorporated an interactive patient infotainment system into the standard clinical pathway for total knee arthroplasty in the hope of improving patients' length of stay.

OBJECTIVES

To analyse whether incorporation of an interactive infotainment system reduced the length of stay and improved the quality of medical care (in terms of number of medical orders and emergency room returns).

DESIGN

A prospective, quasi-randomised controlled trial.

PARTICIPANTS AND SETTING

Data of 86 patients hospitalised for a unilateral total knee arthroplasty at a medical centre in Taiwan were analysed.

METHODS

From January 2017 to July 2017, 86 patients who underwent unilateral total knee arthroplasty and were cared for under a standard clinical pathway were included. The study group (41 patients) had access to electronic programs and video demonstrations related to health literacy, physical therapy, home care and precautions following total knee arthroplasty via a patient infotainment system, while the control group (45 patients) did not. Hospital course, quality indices, in-hospital medical costs, returns to the emergency room and readmission at 30 or 90 days were analysed and compared between the two groups of patients.

RESULTS

The study group had a shorter length of stay (4.4 vs. 4.8 days, mean differences [MD] = -0.37, 95% CI -0.71 to -0.03, p = 0.026) and fewer medical orders (109 vs 111 orders, MD = -1.86, 95% confidence intervals (CI) -3.58 to -0.15, p = 0.047) as compared with the control group. The incidences of emergency room return and readmission to the hospital at 30 or 90 days were comparable between the two groups. No difference in the total medical cost was found between the two groups, with only the cost of laboratory tests in the study group being significantly lower than that in the control group ($144 vs. $163, MD = -21.7, 95% CI -41.0 to -2.25, p = 0.007).

CONCLUSIONS

The incorporation of a patient infotainment system into the standard clinical pathway for total knee arthroplasty can efficiently reduce the length of hospital stay and maintain the quality of medical care. Further studies on improvement of patient medical literacy with the help of the infotainment system would be of interest in order to improve clinical practice and patient satisfaction.

REGISTRATION NUMBER

NCT03788798 TWEETABLE ABSTRACT: A patient infotainment system can reduce hospital stay and maintain medical quality for total knee arthroplasty.

[Comparison of current critical care information systems from the perspective of clinical users : Summary of the results of a German nationwide survey]

BACKGROUND

Critical care information systems (CCIS) are computer-based systems designed to process the growing amount of complex medical data in intensive care units (ICU). Previous studies have shown that CCICs can increase the quality of patient care by reducing errors and improving work efficiency; however, other studies have shown that CCISs can also cause harmful effects by disrupting workflow, facilitating medication errors or increasing charting time. The factors that decide whether a CCIS has a positive or negative impact on patient care are summarized under the term "usability". This article summarizes the results of three previously published papers on this topic.

OBJECTIVE

The aim of the study was to identify which CCIS functions were considered useful by clinical ICU staff and how well these functions are implemented in the CCISs currently used in German ICUs.

MATERIAL AND METHODS

An online survey was performed targeting nurses and physicians working in German ICUs using a previously validated questionnaire. The questionnaire included a list of functions (36 for physicians/31 for nurses) that were preselected by experts based on a comprehensive model of ICU work processes. Each of these functions was rated by the study participants on a Likert scale ranging from 0 (worst rating) to 5 (best rating) with respect to the usefulness to identify which functions of CCIS can truly be considered as useful by clinical ICU staff. Furthermore, the participants rated how well these functions were implemented in the CCIS currently in use on the ICU, also using a Likert scale of 0-5. Further questions were provided to rate specific technical usability aspects of the CCISs currently in use. In addition, to capture possible confounders the questionnaire recorded 18 individual and workspace characteristics which might influence the ratings.

RESULTS

A total of 171 nurses and 741 physicians participated in the survey of which 535 used CCISs. Of the functions 33 were rated as useful for doctors and 28 functions for nurses with median scores between 4 and 5. Participants currently using CCISs gave higher ratings compared to participants not using CCISs. The quality of the functions was rated relatively lower than the usefulness and the availability. Furthermore, currently used CCISs in Germany differ greatly in their technical and task-specific usability. Of the CCISs investigated, the system ICUData had the best overall rating and technical usability followed by the systems ICM and MetaVision. The same three CCIS were rated best in task-specific functions without significant differences between them.

CONCLUSION

Those functions that were identified as useful based on the ratings of clinical ICU staff should be implemented in current CCIS. The list of these functions might be regarded as a first step towards providing a catalog of functional requirements for CCISs. Furthermore, as the results show that the quality of the available functions was rated lower than the availability of the functions, manufacturers should shift more of the effort away from the development of new features and focus on improving the user-friendliness and quality of existing functions.

Functional requirements of critical care information systems (CCIS) from the users' perspective

INTRODUCTION

Critical care information systems (CCIS) are computer software systems specialized for supporting the data processing tasks of clinical staff in intensive care units (ICUs). Reports on the impact of CCIS vary strongly from large benefits to harmful impact. One factor causing these inconsistent results is a large functional heterogeneity of the currently available systems, as no standards exist. Therefore, the aim of this study was to derive recommendations for a minimum range of functions that CCIS should incorporate from the perspective of clinical users.

MATERIALS AND METHODS

We performed a web-based survey targeting clinical ICU staff in Germany. Participants rated the usefulness of pre-defined CCIS functions (36 for physicians / 31 for nurses) between 0-5. To capture confounders that might influence the ratings, we recorded 18 individual and workplace characteristics.

RESULTS

The 912 participants rated all but three of the investigated functions as useful with median scores of 4-5. A multivariable analysis showed that the ratings were influenced by whether CCIS were used on the participants' wards, by the rating of the function quality of the used CCIS, the years of work experience and whether the participant was a physician or a nurse.

CONCLUSIONS

Clinical ICU staff considers all but three of the here investigated CCIS functions as useful. Even though we identified a variety of factors influencing the usefulness ratings, their influence is rather small and thus does not limit the validity of our findings. Accordingly, we commend the functions identified as useful to be incorporated in CCIS.

Efficacy of a clinical pathway for patients with thyroid cancer

BACKGROUND

Clinical pathways have been proposed as a way to improve organizational efficiency and maximize patient outcomes. However, little is known as to whether a clinical pathway is effective for thyroid cancer.

METHODS

The study subjects included 216 patients who were managed after clinical pathway implementation and 145 control patients. Length of stay, cost per patient, and nurses' satisfaction were compared in the 2 groups.

RESULTS

Mean length of stay was 0.8 days shorter in the clinical pathway group than in the control group (2.9 vs 3.7 days; P = .023). Cost per patient was also lower in the clinical pathway than in the control group (USD $3953.00 vs USD $4636.00; P < .001). Nurses' overall satisfaction scores improved from 71.6% before to 82.5% after implementation of the clinical pathway and their job characteristics scores increased from 61.1% to 75.0%.

CONCLUSION

Implementation of a clinical pathway for thyroid cancer can improve nurses' satisfaction with reduction of hospital stay and costs.

Investigation of the Usability of Computerized Critical Care Information Systems in Germany

INTRODUCTION

The term "usability" describes how effectively, efficiently, and with what level of user satisfaction an information system can be used to accomplish specific goals. Computerized critical care information systems (CCISs) with high usability increase quality of care and staff satisfaction, while reducing medication errors. Conversely, systems lacking usability can interrupt clinical workflow, facilitate errors, and increase charting time. The aim of this study was to investigate and compare usability across CCIS currently used in Germany.

METHODS

In this study, German intensive care unit (ICU) nurses and physicians completed a specialized, previously validated, web-based questionnaire. The questionnaire assessed CCIS usability based on three rating models: an overall rating of the systems, a model rating technical usability, and a model rating task-specific usability.

RESULTS

We analyzed results from 535 survey participants and compared eight different CCIS commonly used in Germany. Our results showed that usability strongly differs across the compared systems. The system ICUData had the best overall rating and technical usability, followed by the platforms ICM and MetaVision. The same three systems performed best in the rating of task-specific usability without significant differences between each other. Across all systems, overall ratings were more dependent on ease-of-use aspects than on aspects of utility/functionality, and the general scope of the functions offered was rated better than how well the functions are realized.

DISCUSSION

Our results suggest that manufacturers should shift some of their effort away from the development of new features and focus more on improving the ease-of-use and quality of existing features.

Usability problems do not heal by themselves: National survey on physicians' experiences with EHRs in Finland

PURPOSE

Survey studies of health information systems use tend to focus on availability of functionalities, adoption and intensity of use. Usability surveys have not been systematically conducted by any healthcare professional groups on a national scale on a repeated basis. This paper presents results from two cross-sectional surveys of physicians' experiences with the usability of currently used EHR systems in Finland. The research questions were: To what extent has the overall situation improved between 2010 and 2014? What differences are there between healthcare sectors?

METHODS

In the spring of 2014, a survey was conducted in Finland using a questionnaire that measures usability and respondents' user experiences with electronic health record (EHR) systems. The survey was targeted to physicians who were actively doing clinical work. Twenty-four usability-related statements, that were identical in 2010 and 2014, were analysed from the survey. The respondents were also asked to give an overall rating of the EHR system they used. The study data comprised responses from 3081 physicians from the year 2014 and from 3223 physicians in the year 2010, who were using the nine most commonly used EHR system brands in Finland.

RESULTS

Physicians' assessments of the usability of their EHR system remain as critical as they were in 2010. On a scale from 1 ('fail') to 7 ('excellent') the average of overall ratings of their principally used EHR systems varied from 3.2 to 4.4 in 2014 (and in 2010 from 2.5 to 4.3). The results show some improvements in the following EHR functionalities and characteristics: summary view of patient's health status, prevention of errors associated with medication ordering, patient's medication list as well as support for collaboration and information exchange between the physician and the nurses. Even so, support for cross-organizational collaboration between physicians and for physician-patient collaboration were still considered inadequate. Satisfaction with technical features had not improved in four years. The results show marked differences between the EHR system brands as well as between healthcare sectors (private sector, public hospitals, primary healthcare). Compared to responses from the public sector, physicians working in the private sector were more satisfied with their EHR systems with regards to statements about user interface characteristics and support for routine tasks. Overall, the study findings are similar to our previous study conducted in 2010.

CONCLUSIONS

Surveys about the usability of EHR systems are needed to monitor their development at regional and national levels. To our knowledge, this study is the first national eHealth observatory questionnaire that focuses on usability and is used to monitor the long-term development of EHRs. The results do not show notable improvements in physician's ratings for their EHRs between the years 2010 and 2014 in Finland. Instead, the results indicate the existence of serious problems and deficiencies which considerably hinder the efficiency of EHR use and physician's routine work. The survey results call for considerable amount of development work in order to achieve the expected benefits of EHR systems and to avoid technology-induced errors which may endanger patient safety. The findings of repeated surveys can be used to inform healthcare providers, decision makers and politicians about the current state of EHR usability and differences between brands as well as for improvements of EHR usability. This survey will be repeated in 2017 and there is a plan to include other healthcare professional groups in future surveys.

Diabetes care related process modelling using Process Mining techniques. Lessons learned in the application of Interactive Pattern Recognition: coping with the Spaghetti Effect

Diabetes is one of the metabolic disorders with more growth expectations in next decades. The literature points to a correct self-management, to an appropriate treatment and to an adequate healthy lifestyle as a way to dramatically improve the quality of life of patients with diabetes. The implementation of a holistic diabetes care system, using rising information technologies for deploying cares based on the thesis of the Evidence-Based Medicine can be a effective solution to provide an adequate and continuous care to patients. However, the design and deployment of computer readable careflows is not a easy task. In this paper, we propose the use of Interactive Pattern Recognition techniques for the iterative design of those protocols and we analyze the problems of using Process Mining to infer careflows and how to how to cope with the resulting Spaghetti Effect.

A Primer on Clinical Pathways

Leaders in health-system pharmacy are challenged to maintain the highest quality pharmacy service at the lowest cost. Clinical pathways are evidence-based road maps that assist in reducing variations in clinical practice. Integration of clinical pathways within the electronic health record further helps to facilitate evidence-based practice. This article reviews the evolution of the clinical pathways, describes their clinical and economic impact, and identifies ways pharmacy directors can successfully implement these pathways into their institutions. Pharmacy directors can utilize their skills in this area or task clinical pharmacists to serve as members of the clinical pathway development team to further enhance patient-centered pharmacy services.

Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location Systems

The definition of efficient and accurate health processes in hospitals is crucial for ensuring an adequate quality of service. Knowing and improving the behavior of the surgical processes in a hospital can improve the number of patients that can be operated on using the same resources. However, the measure of this process is usually made in an obtrusive way, forcing nurses to get information and time data, affecting the proper process and generating inaccurate data due to human errors during the stressful journey of health staff in the operating theater. The use of indoor location systems can take time information about the process in an unobtrusive way, freeing nurses, allowing them to engage in purely welfare work. However, it is necessary to present these data in a understandable way for health professionals, who cannot deal with large amounts of historical localization log data. The use of process mining techniques can deal with this problem, offering an easily understandable view of the process. In this paper, we present a tool and a process mining-based methodology that, using indoor location systems, enables health staff not only to represent the process, but to know precise information about the deployment of the process in an unobtrusive and transparent way. We have successfully tested this tool in a real surgical area with 3613 patients during February, March and April of 2015.

A Method to Evaluate Critical Factors for Successful Implementation of Clinical Pathways

OBJECTIVE

Clinical pathways (CPs) have been viewed as a multidisciplinary tool to improve the quality and efficiency of evidence-based care. Despite widespread enthusiasm for CPs, research has shown that many CP initiatives are unsuccessful. To this end, this study provides a methodology to evaluate critical success factors (CSFs) that can aid healthcare organizations to achieve successful CP implementation.

DESIGN

This study presents a new approach to evaluate CP implementation CSFs, with the aims being: (1) to identify CSFs for implementation of CPs through a comprehensive literature review and interviews with collaborative experts; (2) to use a filed study data with a robust fuzzy DEMATEL (the decision making trial and evaluation laboratory) approach to visualize the structure of complicated causal relationships between CSFs and obtain the influence level of these factors.

PARTICIPANTS

The filed study data is provided by ten clinical experts of a Chinese hospital.

RESULTS

23 identified CSF factors which are initially identified through a review of the literature and interviews with collaborative experts. Then, a number of direct and indirect relationships are derived from the data such that different perceptions can be integrated into a compromised cause and effect model of CP implementation.

CONCLUSIONS

The results indicate that the proposed approach can systematically evaluate CSFs and realize the importance of each factor such that the most common causes of failure of CP implementation could be eliminated or avoided. Therefore, the tool proposed would help healthcare organizations to manage CP implementation in a more effective and proactive way.

Monitoring adherence to evidence-based practices: a method to utilize HL7 messages from hospital information systems

BACKGROUND

Clinical pathways are evidence-based recommendations for treating a diagnosis. Although implementations of clinical pathways have reduced medical errors, lowered costs, and improved patient outcomes, monitoring whether a patient is following the intended pathway is problematic. Implementing a variance reporting program is impeded by the lack of a reliable source of electronic data and automatic retrieval methods.

OBJECTIVES

Our objective is to develop an automated method of measuring and reporting patient variance from a clinical pathway.

METHODS

We identify a viable and ubiquitous data source for establishing the realized patient's path- Health Level Seven (HL7) formatted message exchanges between Hospital Information Systems. This is in contrast to current practices in most hospitals where data for clinical pathway variance reporting is obtained from multiple data sources, often retrospectively. This paper develops a method to use message exchanges to automatically establish and compare a patient's path against a clinical pathway. Our method not only considers pathway activities as is common practice, but also extracts patient outcomes from HL7 messages and reports this in addition to the variance.

RESULTS

Using data from our partner hospital, we illustrate our clinical pathway variance analysis tool using major joint replacement patients. We validate our method by comparing audit results for a random sample of HL7 constructed pathways with data extracted from patient charts. We report several variances such as omitted laboratory tests or additional activities such as blood transfusions. Our method successfully identifies variances and reports them in a quantified way to support decisions related to quality control.

CONCLUSIONS

OUR APPROACH DIFFERS FROM PREVIOUS STUDIES IN THAT A QUANTITATIVE MEASURE IS ESTABLISHED OVER THREE DIMENSIONS: (1) omissions from the pathway, (2) additions to the pathway, and (3) patient outcomes. By examining variances providers can evaluate clinical decisions, and support quality feedback and training mechanisms.

Summarizing clinical pathways from event logs

OBJECTIVE

Clinical pathway analysis, as a pivotal issue in ensuring specialized, standardized, normalized and sophisticated therapy procedures, is receiving increasing attention in the field of medical informatics. Research in clinical pathway analysis has so far mostly focused on looking at aggregated data seen from an external perspective, and only provide very limited insight into the pathways. In some recent work, process mining techniques have been studied in discovering clinical pathway models from data. While it is interesting, discovered models may provide too much detail to give a comprehensive summary of the pathway. Moreover, the number of patterns discovered can be large. Alternatively, this article presents a new approach to build a concise and comprehensive summary that describes the entire structure of a clinical pathway, while revealing essential/critical medical behaviors in specific time intervals over the whole time period of the pathway.

METHODS

The presented approach summarizes a clinical pathway from the collected clinical event log, which regularly records all kinds of patient therapy and treatment activities in clinical workflow by various hospital information systems. The proposed approach formally defines the clinical pathway summarization problem as an optimization problem that can be solved in polynomial time by using a dynamic-programming algorithm. More specifically, given an input event log, the presented approach summarizes the pathway by segmenting the observed time period of the pathway into continuous and overlapping time intervals, and discovering frequent medical behavior patterns in each specific time interval from the log.

RESULTS

The proposed approach is evaluated via real-world data-sets, which are extracted from Zhejiang Huzhou Central hospital of China with regard to four specific diseases, i.e., bronchial lung cancer, colon cancer, gastric cancer, and cerebral infarction, in two years (2007.08-2009.09). Although the medical behaviors contained in these logs are very diverse and heterogeneous, experimental results indicates that the presented approach is feasible to construct condensed clinical pathway summaries in polynomial time from the collected logs, and have a linear scalability against the increasing size of the logs.

CONCLUSION

Experiments on real data-sets illustrate that the presented approach is efficient and discovers high-quality results: the observed time period of a clinical pathway is correctly segmented into a set of continuous and overlapping time intervals, in which essential/critical medical behaviors are well discovered from the event log to form the backbone of a clinical pathway. The experimental results indicate that the generated clinical pathway summary not only reveals the global structure of a pathway, but also provides a thorough understanding of the way in which actual medical behaviors are practiced in specific time intervals, which might be essential from the perspectives of clinical pathway analysis and improvement.

Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA

Background

Hospitals nowadays have to serve numerous patients with limited medical staff and equipment while maintaining healthcare quality. Clinical pathway informatics is regarded as an efficient way to solve a series of hospital challenges. To date, conventional research lacks a mathematical model to describe clinical pathways. Existing vague descriptions cannot fully capture the complexities accurately in clinical pathways and hinders the effective management and further optimization of clinical pathways.

Method

Given this motivation, this paper presents a clinical pathway management platform, the Imperial Clinical Pathway Analyzer (ICPA). By extending the stochastic model performance evaluation process algebra (PEPA), ICPA introduces a clinical-pathway-specific model: clinical pathway PEPA (CPP). ICPA can simulate stochastic behaviours of a clinical pathway by extracting information from public clinical databases and other related documents using CPP. Thus, the performance of this clinical pathway, including its throughput, resource utilisation and passage time can be quantitatively analysed.

Results

A typical clinical pathway on stroke extracted from a UK hospital is used to illustrate the effectiveness of ICPA. Three application scenarios are tested using ICPA: 1) redundant resources are identified and removed, thus the number of patients being served is maintained with less cost; 2) the patient passage time is estimated, providing the likelihood that patients can leave hospital within a specific period; 3) the maximum number of input patients are found, helping hospitals to decide whether they can serve more patients with the existing resource allocation.

Conclusions

ICPA is an effective platform for clinical pathway management: 1) ICPA can describe a variety of components (state, activity, resource and constraints) in a clinical pathway, thus facilitating the proper understanding of complexities involved in it; 2) ICPA supports the performance analysis of clinical pathway, thereby assisting hospitals to effectively manage time and resources in clinical pathway.

On mining clinical pathway patterns from medical behaviors

OBJECTIVE

Clinical pathway analysis, as a pivotal issue in ensuring specialized, standardized, normalized and sophisticated therapy procedures, is receiving increasing attention in the field of medical informatics. Clinical pathway pattern mining is one of the most important components of clinical pathway analysis and aims to discover which medical behaviors are essential/critical for clinical pathways, and also where temporal orders of these medical behaviors are quantified with numerical bounds. Even though existing clinical pathway pattern mining techniques can tell us which medical behaviors are frequently performed and in which order, they seldom precisely provide quantified temporal order information of critical medical behaviors in clinical pathways.

METHODS

This study adopts process mining to analyze clinical pathways. The key contribution of the paper is to develop a new process mining approach to find a set of clinical pathway patterns given a specific clinical workflow log and minimum support threshold. The proposed approach not only discovers which critical medical behaviors are performed and in which order, but also provides comprehensive knowledge about quantified temporal orders of medical behaviors in clinical pathways.

RESULTS

The proposed approach is evaluated via real-world data-sets, which are extracted from Zhejiang Huzhou Central hospital of China with regard to six specific diseases, i.e., bronchial lung cancer, gastric cancer, cerebral hemorrhage, breast cancer, infarction, and colon cancer, in two years (2007.08-2009.09). As compared to the general sequence pattern mining algorithm, the proposed approach consumes less processing time, generates quite a smaller number of clinical pathway patterns, and has a linear scalability in terms of execution time against the increasing size of data sets.

CONCLUSION

The experimental results indicate the applicability of the proposed approach, based on which it is possible to discover clinical pathway patterns that can cover most frequent medical behaviors that are most regularly encountered in clinical practice. Therefore, it holds significant promise in research efforts related to the analysis of clinical pathways.

Using recommendation to support adaptive clinical pathways

Clinical pathways are among the main tools used to manage the quality in health-care concerning the standardization of care processes. This paper deals with a recommendation service to support adaptive clinical pathways. The proposed approach can guide physicians in clinical pathways by providing recommendations on possible next steps based on the measurement of the target patient status and medical knowledge from completed clinical cases. The efficiency and usability of the proposed method is validated by experiments referring to a real data set extracted from Electronic Patient Records. The experimental results indicate that the recommendation service can provide its users with advice rationales that remain consistent even when patient status has changed. This makes adaptive clinical pathways possible.