Continuous Performance Improvement Research Articles

Optimizing DXA to Assess Skeletal Health: Key Concepts for Clinicians

The diagnosis of osteoporosis and assessment of fracture risk prior to a sentinel fracture was transformed by the widespread clinical use of dual-energy X-ray absorptiometry (DXA) for the assessment of bone mineral density (BMD). This review is based on a collection of primary and review literature gathered from a PubMed search of "dual energy X-ray absorptiometry," "trabecular bone score," and "atypical femur fracture" among other keywords. PubMed searches were supplemented by the authors' prior knowledge of the subject. While uncertainty exists for some aspects of osteoporosis care, patient and clinician familiarity with BMD assessment for screening and monitoring is firmly established. Beyond BMD, lateral spine images obtained with DXA can diagnose osteoporosis and refine fracture risk through the detection of unrecognized vertebral fractures. In addition, analysis of DXA lumbar spine images can reflect changes in trabecular bone microarchitecture, a component of bone "quality" that predicts risk of fracture independent of BMD. Finally, monitoring of bone health by DXA may be extended to include assessment of the femoral cortices for rare but serious adverse effects associated with antiresorptive therapies. Increasing technologic sophistication requires additional consideration for how DXA imaging is performed, interpreted and applied to patient care. As with any test, clinicians must be familiar with DXA performance, pitfalls in analysis, and interpretation within each clinical context in which DXA is applied. With this perspective, care providers will be well positioned to contribute to continuous improvement of DXA performance and, in turn, quality of osteoporosis care.

How Health Care Organizations Approach Social Media Measurement: Qualitative Study.

BackgroundMany health care organizations use social media to support a variety of activities. To ensure continuous improvement in social media performance, health care organizations must measure their social media.ObjectiveThe purpose of this study is to explore how health care organizations approach social media measurement and to elucidate the tools they employ.MethodsIn this exploratory qualitative research, Australian health care organizations that use social media, varying in size and locality, were invited to participate in the study. Data were collected through semistructured interviews, and the transcripts were analyzed using thematic analysis.ResultsThe study identified health care organizations’ approaches to social media measurement. While some measured their social media frequently, others used infrequent measurements, and a few did not measure theirs at all. Those that measured their social media used one or a combination of the following yardsticks: personal benchmarking, peer benchmarking, and metric benchmarking. The metrics tracked included one or more of the following: reach, engagement, and conversion rates. The tools employed to measure social media were either inbuilt or add-on analytics tools. Although many participants showed great interest in measuring their social media, they still had some unanswered questions.ConclusionsThe lack of a consensus approach to measurement suggests that, unlike other industries, social media measurement in health care settings is at a nascent stage. There is a need to improve knowledge, sophistication, and integration of social media strategy through the application of theoretical and analytical knowledge to help resolve the current challenge of effective social media measurement. This study calls for social media training in health care organizations. Such training must focus on how to use relevant tools and how to measure their use effectively.

Abstract 3209: The cBioPortal for Cancer Genomics

Abstract The cBioPortal for Cancer Genomics is an open-source software platform that enables interactive, exploratory analysis of large-scale cancer genomics data sets with a biologist-friendly interface. It integrates genomic and clinical data, and provides a suite of visualization and analysis options, including OncoPrint, mutation diagram, variant interpretation, survival analysis, expression correlation analysis, alteration enrichment analysis, cohort and patient-level visualization, among others. The public site (https://www.cbioportal.org) hosts data from more than 280 studies from diverse sources including individual labs and large consortia. All data is also available in the cBioPortal Datahub (https://github.com/cBioPortal/datahub/). Data from 40 studies, totaling more than 10,000 samples, was added in 2019, including the latest release from the Cancer Cell Line Encyclopedia and the Pediatric Preclinical Testing Consortium. The site is accessed by over 30,000 unique visitors per month. cBioPortal also supports AACR Project GENIE with a dedicated instance hosting the GENIE cohort of 80,000 clinically sequenced samples from 19 institutions worldwide (http://genie.cbioportal.org). In addition, more than 40 instances are installed locally at academic institutions and pharmaceutical/biotechnology companies. In support of these local installations, cBioPortal now has improved documentation and simplified installation via container technologies such as Docker and Kubernetes. Building on our successful refactoring of the code base, we have released a variety of new features and enhancements to cBioPortal over the past year. Most notably, we released a group comparison feature, enabling users to define groups of interest based on any clinical or genomic features. User-defined groups can be compared simultaneously across genomic and clinical data, including survival analysis and genomic alteration enrichment analysis. Additional new features include: integration of mutation annotations from dbSNP, ClinVar and gnomAD; support for waterfall plots to enable treatment response analysis; saving user preferences for chart layout on study view. The cBioPortal remains under active development. The portal is fully open source (https://github.com/cBioPortal/) under a GNU Affero GPL license. Development is a collaborative effort among groups at Memorial Sloan Kettering Cancer Center, Dana-Farber Cancer Institute, Children's Hospital of Philadelphia, Princess Margaret Cancer Centre, and The Hyve. Ongoing and future development is focused on: (1) building the open source community; (2) continued performance improvements; (3) expanding user support, documentation and training resources; (4) supporting longitudinal data analysis and visualization; (5) developing novel features to support immunogenomics and immunotherapy; (6) enhancing individual variants and overall patient interpretation; (7) supporting single cell data visualizations and analysis. Citation Format: Jianjiong Gao, Tali Mazor, Adam Abeshouse, Ino de Bruijn, Benjamin Gross, Karthik Kalletla, Priti Kumari, Ritika Kundra, Xiang Li, James Lindsay, Aaron Lisman, Pieter Lukasse, Ramyasree Madupuri, Angelica Ochoa, Oleguer Plantalech, Sander Rodenburg, Fedde Schaeffer, Robert Sheridan, Lucas Sikina, Jing Su, S. Onur Sumer, Yichao Sun, Paul van Dijk, Sjoerd van Hagen, Pim van Nierop, Avery Wang, Manda Wilson, Hongxin Zhang, Gaofei Zhao, Kelsey Zhu, Kees van Bochove, Ugur Dogrusoz, Allison Heath, Adam Resnick, Trevor J. Pugh, Chris Sander, Ethan Cerami, Nikolaus Schultz. The cBioPortal for Cancer Genomics [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3209.

Physician Practices and the Late Adoption of Transparent Peer Comparisons for Performance Feedback

Research ObjectiveOver the past two decades, health care organizations have recognized the importance of physician feedback and data transparency for continuous performance improvement. Diffusion of innovation theory suggests that late‐adopting organizations face unique barriers to adoption, particularly of innovations that require infrastructure investments. This study aims to identify qualities associated with physician practices’ late or non‐adoption of unblinded peer comparisons for performance reporting.Study DesignThis research draws on the cross‐sectional 2017/2018 National Survey of Healthcare Organizations and Systems (NSHOS) practice‐level survey (response rate=47%) linked to 2017 IQVIA OneKey data on physician practices. Predictors of unblinded performance feedback include composites of organizational learning orientation, organizational capacity for innovation, health information technology (HIT capabilities), and participation in delivery reform initiatives. We perform a logistic regression to estimate the odds that a practice does not report using unblinded peer comparison feedback, controlling for reported practice ownership, a measure of physician influence on practice priorities and strategies, Medicaid revenue (less than 30% or ≥30%, as a proxy for financial resources and patient complexity), and practice size (physician count).Population StudiedWe study the population of practices with at least three primary care physicians using a nationally representative sample of 2,190 non‐federal physician practices. Practices are of diverse ownership, including primary care and multispecialty provider groups, those owned by healthcare systems, independent practices, and other arrangements.Principal Findings27% of physician practices did not report using unblinded peer comparisons for performance feedback reports. These physician practices had lower organizational learning orientation (OR=0.689, p<0.001), lower HIT capabilities (OR = 0.725, P < .001), and less participation in delivery reform initiatives (OR = 0.740, P < .001). No significant association was found between organizational capacity for innovation and late adopter status. Of control variables, health care system ownership or ownership by some other entity, and “some” physician influence (compared to “little to none” or “a lot”) were found to be significantly associated with practice use of transparent performance comparisons. Our Medicaid revenue variable was not found to be significant.ConclusionsPhysician practices that do not use unblinded peer comparisons for performance feedback have lower organizational learning orientations, lower HIT capabilities, and participate in fewer delivery reform initiatives than adopters of transparent reporting. These findings indicate that late or non‐adopting practices may be less motivated toward learning, and external quality incentives may be less important influences on their innovation adoption. HIT capabilities and economies of scale related to practice ownership may also improve adoption of transparent performance reporting.Implications for Policy or PracticePhysician practices which have not adopted transparent performance reporting have lower orientation to organizational learning, lag in their expansion of HIT capabilities, and participate in fewer reform initiatives. This suggests that policies and programs which encourage performance transparency, such as Medicare’s Quality Payment Program, should be attentive to the resource needs and infrastructure considerations of late or non‐adopters.Primary Funding SourceAgency for Healthcare Research and Quality.

An overview of total quality management approach: an evaluation for ABC company in textile industry

Purpose- The purpose of this study, after investigating the key elements and main concepts of Total Quality Management (TQM) through a comprehensive literature research, is to appliy it to a business to fully find out these concepts. This business, which is one of the companies in textile industry in Turkey, is chosen for this destination because its top management is already informed of the advantages of TQM and supports the implementation. Methodology- Competitive advantage, in the context of business, is a powerful concept, and achieving it should be the ultimate goal of any company. TQM is about continuous performance improvement of individuals, groups and organisations. In today's world, many organisations adopt TQM approach to attain competitive advantage in the market. The organizations achieve a competitive advantage by carefully and constantly analyzing its people's, customers’ and suppliers' needs and by organizing and operating to meet these needs the first time and every time Implementation of the TQM process is one of the most complex research that an organization, either private or public, can undertake. Findings- The analysis reveals that the applications begin with the preparation of some questionnaires for all employeers of the company its people, customers, people working in this firm to find out their satisfaction levels since TQM requires finding the points due to statistical Control where they are dissatisfied with the business and promote the company. The evaluations are analyzed in detail by applying a comprehensive methodology. The findings of the evaluation are declared with the contribution of the management. Conclusion- This provides to highlight the difference between its expectations and the actual results. At the end of the study, some suggestions for the company are presented depending on the evaluations.

ENVIRONMENTAL PERFORMANCE EVALUATION OF SOME INDUSTRIAL FIRMS DUE TO ISO 14031 STANDARD

This research aims to evaluate six of Baghdad Industrial firms in different sectors in Baghdad due to ISO 14031 Standard in order to know the effects of factories on the environment, create a database for comparison with certain time periods, continuous improvement of environmental performance, and increasing environmental awareness. Environmental Performance Evaluation (EPE) includes two types of indicators, Environmental Performance Indicators (EPIs) and Environmental Conditions Indicators (ECIs). The research focus on (EPIs) which includes two types of indicators, Management Performance Indicators (MPIs) and Operation Performance Indicators (OPIs). (MPIs) includes performance and infrastructure Indicators and Training Indicators, and (OPIs) include Industrial and occupational safety indicators and an environmental control indicator. In this research, a questioner list with a five Likert Scale level was suggested. The questionnaire lists were answered by employees specializing in environmental aspects in the Middle Refineries Company, South Baghdad thermal power station, General Company for Textile and Leather, Battery Factory, General Company for Food Products, and The Cotton Factory. The data of questionnaire lists were converted to information by statistical equations, SPSS program used to calculate ANOVA table to compare averages of differences between indicators that have been subjected to different treatments in order to arrive at the indicator that makes average is different from other averages.

Optimization of Delivery of Pediatric Otolaryngology Surgical Antibiotic Prophylaxis.

There is limited evidence regarding use of routine perioperative antibiotics for pediatric otolaryngologic procedures. The objectives of this quality improvement study were (1) to characterize the otolaryngology case mix for which antibiotics were delivered and (2) determine the percentage of surgical encounters with appropriate timing of antibiotic administration. Pediatric otolaryngology procedures meeting criteria from 2015 to 2019 were evaluated as a component of an institution-wide pediatric surgical antibiotic prophylaxis study using A3 problem solving to identify and roll out interventions for appropriate antibiotic administration. Descriptive statistical analysis of the interrupted time-series data was used to describe the otolaryngology case mix for which antibiotics were delivered. The primary outcome measure was percentage of surgical encounters with appropriate timing of antibiotic administration in minutes relative to incision. In total, 1520 pediatric otolaryngology procedures with perioperative antibiotic delivery were performed from July 2015 to September 2019. While surgical site infection number (n = 2/year) was stable, administration of timely prophylactic antibiotics significantly improved: 27.5% of cases per month at baseline and 86.9% at the conclusion of the rollout of the sequential interventions (P < .001). Given the exceedingly low infection rate of clean otolaryngology surgery, there is limited evidence in favor of perioperative antibiotics for the majority of procedures. Prophylactic antibiotics were most commonly used in otologic surgery involving cochlear implantation or in the setting of draining ears or cholesteatoma and in clean-contaminated head and neck surgery cases. Iterative continuous performance improvement can optimize evidence-based delivery of preoperative prophylactic antibiotics. Additional interventions to ensure antimicrobial stewardship in pediatric otolaryngology are indicated.

Effect of high-velocity sand and dust on the performance of crystalline silicon photovoltaic modules

The performance of solar modules is of grave concern in dusty regions. According to the relevant standards of IEC 60068–2-68:1994, we constructed a high-velocity sand and dust test apparatus in our lab. The sand and dust tests were performed on 330 PV modules provided by 53 manufacturers in China, Japan, American, India, and other countries during 2015–2019. The unqualified ratio of PV modules performed is about 5.76% in recent 5 years. The sand and dust certification test promotes continuous performance improvement of PV modules. The effect of sand and dust on the performance of module and bypass diode in parallel with solar cell was assessed.

Mechanical and fracture properties of ultra-high performance geopolymer concrete: Effects of steel fiber and silica fume

This study investigates the effects of steel fiber and silica fume on the mechanical and fracture properties of ultra-high performance geopolymer concrete (UHPGC). Four volume fractions of steel fiber (0%, 1%, 2% and 3%) and four contents of silica fume by the mass of total binders (5%, 10%, 20% and 30%) were used. The mechanical and fracture properties evaluated include the compressive, splitting tensile and ultimate flexural strengths, modulus of elasticity, flexural behavior, fracture energy and stress intensity factor. In addition, the correlations among the compressive and splitting tensile strengths, and compressive strength and elastic modulus were studied. The results indicated the increase of steel fiber dosage resulted in the decrease of the workability, but the continuous improvement of mechanical and fracture performance of UHPGC. The empirical equations for predicting elastic modulus of conventional ultra-high performance concrete overestimated the elastic modulus of UHPGC, however some prediction formulas for the splitting tensile strength of PC-based concretes could be applied for UHPGC. Silica fume had a complicated influence on workability and hardened properties of UHPGC, which is strongly dependent on its amount. The inclusion of 10% silica fume induced the increase of the flowability, but the sharp degradation of the mechanical performance, while the specimens with 20% and 30% silica fume possessed the superior mechanical characteristic to that with 5% silica fume. The steel fiber dosage could be decreased without sacrificing the mechanical and fracture performance of UHPGC, via the increase of silica fume content.

Head Nurses' Evaluation and Nurses' Self Evaluation for Performing Chest Nursing Care Procedures

Head nurse evaluation of the nurses' performance of chest care procedures is vital to quality patient care at ICU. While nurses' self-evaluation help nurses to pay attention to their own performance, raise their self-awareness and efficacy to make efforts for improvement in performing of six chest care procedures. So head nurses and nurses actually need an educational training program for enforcing them for continuous performance improvement and updating knowledge .Objective: study head nurses' evaluation and nurses' self -evaluation of performing chest nursing care procedures. Setting: Tanta University Hospitals at Mobark ,Chest , and Tanta University International Educational Hospital. Tools two tools used Tool I: Evaluation and self -evaluation for nurses' actual performance of chest nursing care procedures observation checklists. And tool II: Knowledge assessment of chest nursing care procedures steps, evaluation and self -evaluation process. Result Preprogram researcher head nurses evaluation and nurses self -evaluation showed that nurses performance were at unsatisfactory level for all items of the six chest care procedures. Head nurses 55%,95%,100% and 85% showed poor level for plan ,needed information ,principles of evaluation and methods ,respectively . All head nurses evaluation and nurses self- evaluation level of knowledge pre- program was poor . Actually no one of nurses showed excellent level preprogram for performing items of vibration, coughing and suctioning procedures which changed post program to 65%, 78.8% and 100% , and at 3 month post program changed to 65%, 83.3% and 100% respectively . All head nurses and 80% of nurses had poor overall knowledge about six chest care procedure standard evaluation and self- evaluation principles preprogram .Implementation of educational program improved head nurses and nurses overall knowledge about chest care, evaluation and nurses self -evaluation statistically significant at P <0.01.Conclusion: Head nurses at Tanta university hospital were not evaluating nurses performance of chest care procedures leading to unsatisfactory nurses performance .Actually head nurses have insufficient knowledge to evaluate nurses performance and nurses have insufficient knowledge to perform chest care procedures according standard and cannot make self-evaluation for their performance. Implementation of educational program about evaluation principles,chest care procedure standard and self- evaluation principles successfully improved nurses staff performance and knowledge. Recommendation: Conduct regular training programs workshops and seminars for head nurses to update their knowledge and skills related to evaluation of nurses performance. Conduct periodical in service training program for nurses to refresh their knowledge and skills related to chest care procedure performance according to standard of its performance. Head nurses should encourage nurse self-evaluate their performance and provide supportive health work environment to help nurses improved their performance of chest care procedures

THE ADVANTAGES OF IMPLEMENTATION OF INTEGRATED MANAGEMENT SYSTEM ON ISO45001, AND ISO14001 IN MANUFACTURING INDUSTRY

Integrated management system (IMS) can integrate several management systems in companies such as: Environmental Management Systems (ISO 14001) and Occupational Health and Systems Safety Management (ISO45001). The purpose of this study is to answer the question of what and how to implement IMS policies in industrial companies in the fields of occupational safety, occupational health and environmental sustainability. This IMS implementation research was conducted on a manufacturing industry that has implemented IMS. The research method is conducted with qualitative methods with CIPP evaluative model (Context, Input, Process, and Product). This study succeeded in uncovering the implementation of IMS in the manufacturing industry which was investigated that the IMS had been fully implemented in the Occupational Health and Environmental Management and Safety System (HSE). The IMS is implemented at the policy level or management commitment (context), HSE planning (Input), operational implementation (process), HSE monitoring and evaluation and a review (Product) for continuous performance improvement.

Principal Leadership Styles and Teacher Job Performance: Viewpoint of Middle Management

Achievement-oriented leaders let their followers know their expectations. They regularly set clear goals with potential high-performance standards, they trust in the capabilities of their subordinates, and they encourage the continued performance improvement of their subordinates. This investigation studied the effects of private secondary school principals’ leadership styles on teachers’ job performance. Four leadership styles outlined in the path–goal theory and five key performance indicators (KPIs) of teacher job performance were chosen for the present research. Numerous prior studies have documented this subject. However, they reported on teacher job performance as a single unit. Therefore, a concerted effort was required to examine the effects of adopted principal leadership styles on each of the five key performance indicators of teacher job performance. A total of 253 middle management personnel took part in this empirical study. The correlation findings from the structural equation modeling revealed that the directive leadership style had a significant effect on teacher job performance in the studied schools, followed by the supportive and achievement-oriented leadership styles. Conversely, although participative leadership was identified as a significant predictor, it was not considered a promising predictor of teacher job performance. This research was conducted in a non-Western culture, where directive leadership is beneficial for encouraging teacher job performance; this claim is greatly supported by the available rigorous literature.

Kaizen in quality improvement at SPBV factory

The ultimate objective of manufacturing industries is to increase productivity with high quality. At present, many manufacturing companies are facing problems such as high defect rate, high inventories, high lead time, high costs of production, and inability to cope with customer orders. Kaizen is one of the powerful tools of lean manufacturing. Kaizen refers to continuous improvement in performance, cost, and quality. The main objective of this paper is to provide a background on kaizen, steps for kaizen implementation, and then a case study of Kaizen implementation has been discussed. This case study is to present an application of Kaizen to reduce cap defects at SPVB factory. The 10-step Kaizen method of SBF Group has been applied for an improvement project. Based on the company’s strategy, the project has identified the main problem of Oolong Tea + cap defects and found out the factors of the machine that were the root causes of this problem. Two groups of solutions have been proposed and implemented to overcome these causes: Restoration solution and Kaizen solution. As a result of the improvement project, the Oolong Tea + cap defect rate has decreased from 0.14% to 0.03%. Then the project has recommended the activities that need to standardize and identified future challenges for improvement.

A Study on the Status, Citation Analysis, and Altmetric Indices of Journals of Golestan University of Medical Sciences

Background: Journals are regarded as the most important media for transferring knowledge and research results, accordingly their promotion is conditioned by continuous evaluation and improvement of performance. The present study aimed to determine the status, citation analysis, and altmetric indices of journals published by Golestan University of Medical Sciences. Methods: This cross-sectional study was conducted by a descriptive approach with scientometric and citation analysis methods in 2019. The statistical population consisted of 5 journals of Golestan University of Medical Sciences. Data collection tool was a researcher-made checklist consisting of 28. Altmetric indices of journals were also evaluated. Data was analyzed by descriptive statistics; and the results were presented in diagrams and tables. Results: All the studied journals had all publication requirements. Only one journal had the requirement, at least half of editorial board should be outside of the publication. Moreover, 37 percent of 105 editorial board members in the under examined journals had extra-organizational affiliation and only 8 percent were from abroad. The articles of Journal of Gorgan University of Medical Sciences” was the most-cited article regarding citation bases. Conclusions: Journals of Golestan University of Medical Sciences need to revise their structures, especially for editorial board members namely being international, having an organizational affiliation outside the university, as well as the presence of editorial board members with further research activity and background.

The Compounding Power of the Clinical Community

Healthcare technology management (HTM) professionals are critical stakeholders in promoting patient safety, regularly troubleshooting medical devices that are unsafe or unable to be used by clinical staff. Healthcare technology management professionals determine, investigate, and often address the root cause (or causes) of medical device concern(s), so that the devices can be used safely and effectively throughout the facility. The HTM professional's investigation, when accompanied by medical device reports, often leads to manufacturer actions, including recalls and corrections, which contribute to continuous improvement of device safety and performance. As highlighted in this case report, healthcare facility reporting teams, which include HTM professionals, provide value to the healthcare community as a whole, affecting real-world outcomes and patient safety.

Sustainable performance management using resilience engineering

Several efforts have focused on the continuous improvement of firm performance, but many disturbances still occur because of various random failures. Resilience which is the ability to withstand shock and maintain critical function, has been recognized as an important approach to keep a firm operating in varying conditions, even if these conditions are excepted or not. With the objective to further enhance firm performance and be part of a sustainable development, it is necessary to study this performance through the resilience in order to manage all disturbances. The objective of this work is to propose a specific management model able to define the functions and barriers that contribute to the resilience of sustainable performance of firm. In this paper, the methodology is explained in detail, and its application trough textile firm is discussed.

What are the key determinants of maintenance performance?

Paper aims The main objective of the research is to present a combination of fuzzy decision-making techniques to measure the performance of preventive maintenance systems. Originality This research is a timely response to studying the prominent role of preventive maintenance performance in reducing cost, profitability, and overall organization’s output. Research method This study considers the application of “fuzzy DEMATEL” and ANP techniques for measuring maintenance performance and determining the causal relationships between the criteria and sub-criteria. Main findings It is conjectured that functional and technical criteria, along that with individual and the environmental are of great importance. Among the sub-criteria, employee satisfaction, growth and learning, availability of machinery and equipment, quality of maintenance by the skilled and highly-trained workforce, deem to be the most important ones. Implications for theory and practice The application of the decision techniques and the proposed measurement model for continuous improvement and promotion of maintenance performance.

Criteria to Measure Social Media Value in Health Care Settings: Narrative Literature Review.

BackgroundWith the growing use of social media in health care settings, there is a need to measure outcomes resulting from its use to ensure continuous performance improvement. Despite the need for measurement, a unified approach for measuring the value of social media used in health care remains elusive.ObjectiveThis study aimed to elucidate how the value of social media in health care settings can be ascertained and to taxonomically identify steps and techniques in social media measurement from a review of relevant literature.MethodsA total of 65 relevant articles drawn from 341 articles on the subject of measuring social media in health care settings were qualitatively analyzed and synthesized. The articles were selected from the literature from diverse disciplines including business, information systems, medical informatics, and medicine.ResultsThe review of the literature showed different levels and focus of analysis when measuring the value of social media in health care settings. It equally showed that there are various metrics for measurement, levels of measurement, approaches to measurement, and scales of measurement. Each may be relevant, depending on the use case of social media in health care.ConclusionsA comprehensive yardstick is required to simplify the measurement of outcomes resulting from the use of social media in health care. At the moment, there is neither a consensus on what indicators to measure nor on how to measure them. We hope that this review is used as a starting point to create a comprehensive measurement criterion for social media used in health care.

Human Eye Recognition Tracking Based on Region Segmentation and Template Matching

As a very challenging field, computer vision has always attracted the in-depth exploration and research of many researchers because of its huge development potential. With the continuous improvement of computer performance and the popularity of electronic products, more and more researchers are committed to the important research direction in the field of computer vision - human eye detection. In this paper, the eye in the video sequence is taken as the research object, and the tracking and recognition algorithm of the dynamic object is taken as the main research purpose. The motion tracking of the human eye is deeply studied. Aiming at the existing problems of human eye tracking and recognition algorithms, this paper proposes a human eye tracking and recognition algorithm based on combination of region segmentation and template matching. Experiments show that this method greatly improves the accuracy and stability of human eye recognition.

Online Data Stream Analytics for Dynamic Environments Using Self-Regularized Learning Framework

For the upcoming Internet of things era, a plethora of data will need to be processed on a real-time basis. However, most prior data streaming-related studies ignored the semantic meaning of the input data, leading to unexpected or even unacceptable contextual models. This issue may worsen given the concept-drift problem in a dynamic environment. Since streaming data do not have ground-truth labels, it is challenging to reflect upon what has been learned for continuous improvement in learning performance. To address the aforementioned issues, this study incorporates self-regulated learning from pedagogy. There are three elements in self-regulated learning: Forethought, Performance, and Reflection. Each element's corresponding module is designed and implemented in this study. The goal is to reduce the need for human intervention in online data streaming analytics, while enhancing the abilities of semantic understanding and metacognitive self-monitoring. With the aforementioned enhancements, the experimental results of our enhanced model reached a level comparable to those of prior studies that required human interventions. Furthermore, the proposed approach helps guarantee that the model does not go astray from a preset learning goal.