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From the 1980s, globalization produced conditions that demanded tough decisions in a complex set of fluctuating economic circumstances. This required more decision-makers, who discarded almost all virtue but success. Chapter 8 shows that to this new managerial elite, the moral character of the professionals was at best an old-fashioned affectation, at worst the sanctimonious preaching of the old establishment, bleating over their loss of prestige. Managers began to treat those merely applying their expertise as plug-and-play professionals, able to be manoeuvred in and out of place according to flexible strategies. These were applied under a new cliché: ‘work smarter, not harder’, where the ‘smarter’ referred mainly to managerial innovation. Under this managerial regime, success was the only virtue that mattered, while traditional aspects of professional virtue, still needed for professional work to succeed, were embedded into systems for quality and risk management, launching a process of moral deskilling. In this context, professionals turned to a more generic ‘effectiveness’ into which they could pour their personal professional values. This kept them investing relentlessly in their own human capital, reducing the kind of virtue that sought a better world into a category of virtuous consumption.
Optimization of procedures routinely performed in a clinical human in vitro fertilization (IVF) laboratory have become increasingly important due to the increase in complexity of procedures now performed in the laboratory. The addition of new technologies requiring more oversight has increased dramatically within the last decade. As a result of incorporating these new technologies, safe and efficient operation of the IVF laboratory has become increasingly complex and requires a substantial understanding of processes within the laboratory. In today’s modern IVF laboratory, the amount of staff time to perform every increasingly complicated case has more than doubled. Similarly, the amount required time to prepare for these cases has increased dramatically as well. In many instances, the increase in complexity of laboratory procedures has not translated into hiring of new staff but the creation of challenges to improve efficiency within the laboratory. The current guidelines for allocation of staff are based upon cycle numbers performed on an annual basis, not complexity of cases performed.
Concurrently, IVF has become more complex due to the adoption of highly technological laboratory procedures, including cryopreservation of eggs and embryos, micromanipulation and pre-implantation genetic screening. In addition, the patient population being treated has broadened and often includes not only the intended parents but also gamete donors or gestational surrogates. It is critical therefore for IVF laboratories to implement and maintain the highest standards of quality. Quality can be an elusive concept and is often in the eye of the beholder. In an IVF laboratory it is frequently defined by a clinic’s success rates or the results of inspections by regulatory agencies such as the College of American Pathologists (CAP) or a laboratory’s ability to offer the latest technology. While these attributes are very important and a vital part of a high-quality laboratory, quality comprises many other elements that are often overlooked. This chapter has been written to guide laboratory directors and embryologists in this endeavour.
Cryobanking is a major component of today’s assisted reproductive technologies (ART). As Reproductive Biologists and Cryogenic Specialists, we are not only burdened with the accurate labelling, witnessing and use of cryopreserved specimens (the subject of other chapters in this text), we must ensure their safe and secure long-term storage. Based on a heightened awareness of actual and experimental tank failures, we will outline and discuss the critical components of effective quality management for cryostorage.
The performance of the embryology laboratory is of imperative importance for the successful outcome of an assisted reproductive technology (ART) cycle. The development and viability of gametes and embryos can be compromised by small fluctuations in their environment, so it is crucial to establish optimal culture conditions at which gametes and embryos are attained and maintained. Having a robust control of culture conditions means that it is not necessary to search for a needle in a haystack when trouble-shooting. In order to ensure and maintain these very specific conditions, quality control (QC) routines need to be established with quality specifications for each quality parameter. These parameters are assessed on a daily, weekly, monthly or annual basis to determine whether they meet certain specifications, followed by any necessary fine-tuning to bring the levels back within the acceptable limits of uncertainty of measurement.
There is limited knowledge about the potential role of machine learning (ML) in quality improvement of psychiatric care.
Objectives
Our case study was to determine whether ML decision trees used on patient databases are suitable for focussing on specific patient population samples of mental healthcare quality audits. Populations were identified by patient and care provider variables, and the time of treatment. Outcomes were defined as hospital mortality, over-long hospitalization (over average +1SD or +2SD); and short hospitalization (under average -1SD; under 3 days).
Methods
We conducted a Split Train Test in Python for our outcomes on national mental health inpatient turnover data (2010 through 2018 for training and 2019 for testing). A well-fitting decision tree had the area under the curve (AUC) of the receiver operating characteristic (ROC) >= 0.7, and specificity >= 0.9. Performing qualitative analyses of decision trees, we rejected the ones with little clinical relevance.
Results
Decision trees fit well (AUC = 0.7 to 0.9; specificity = 0.7 to 1.0; sensitivity = 0 to 0.69). For hospital death cases, the decision tree had AUC = 0.86, no difference after controlling for the types of hospital units, and was clinically relevant. Models predicting over-long hospitalization fit well (AUC=0,9); however, controlling for care pathways, good fit and sensitivity both vanished. No valid models emerged for undertime discharges. The decision trees revealed unique combinations of variables.
Conclusions
Our ML decision trees used on healthcare databases proved promising for focussing quality audit efforts. Narrative analysis for the clinical contexts of the decision trees is indispensable.
Even though Japan has a largely Westernized system of education, it is worth remembering that this country has a strong hierarchical Confucian tradition of master–student relationships. This relationship is underlined by the literal meaning of sensei, “the one born before,” as the honorific given to all teachers and professors. University lecturers enjoy significant autonomy, and there are no particular barriers to faculty integrating undergraduate research (UR) into the curriculum. It can be argued that the STEM areas in which Japan excels have historically created more opportunities for research, and that UR is already undertaken there, whether formally recognized or not. In the arts, humanities, and social sciences, students are required to write a graduation thesis or report under the guidance of their instructor.
Many parameters are associated with IHC testing assays. With so many variables, it is quite easy to accumulate errors within the system. To make things more manageable, these considerations are categorized into three main groups. Pre-analytic aspects occur before the assay, analytic factors are concerned with the staining protocol and post-analytic elements relate to interpreting of results. It has also come to reason that any one variable can impact the reliability and consistency of the overall IHC assay. In this regard, standardization requirements have been enlisted to assist laboratories achieve optimal results. In addition, monitoring proficiency testing regimens and various organizations are in place to ensure high levels of standards are attained. All these endeavours are known as quality assurance and quality control measures. They are arranged under the overall umbrella of a facility’s quality management system.
The basic princples of cryobiology are described for both slow freezing and vitrification of spermatozoa. Specific aspects of cryopreserving human spermatozoa are discussed in detail, incluidng the formulation of cryopreservation media and their proper use. Alternative packaging devices are discussed in relation to the achievement of correct cooling and warming curves as well as effective biocontainment. High security straws are recommended as the best method to use from both perspectives, and a standard operating procedure (SOP) for easy use at the bench is provided. SOPs for human sperm vitrification techniques are also gven. Quality control and risk management aspects of sperm freezing and for cryobank organzation are described. Finally, there is a section on sperm donation.
Following an overview of Quality Management concepts and the creation of a Quality Management System (QMS) there is a discussion of the principles of Accreditation and Accreditation schemes. The importance of training is emphasized, and the goal-orientated reiterative assessments apporach described, including defining criteria for competence as the endpoint of training. There are also discussion on quality control, measurement uncertainty, test method selection and comparison,laboratory equipment monitoring, and External Quality Assurance (EQA). A section on regulatory aspects includes a comparison between Standards (including the new ISO 23162) and guidelines. A final section describes a framework for validating new test methods.
This practical, extensively illustrated handbook covers the procedures that are undertaken in andrology and ART laboratories to analyse and assess male-factor infertility, and to prepare spermatozoa for use in assisted conception therapy. The content is presented as brief, authoritative overviews of the relevant biological background for each area, plus detailed, step-by-step descriptions of the relevant analytical procedures. Each technical section includes quality control considerations and the optimum presentation of results. In addition to the comprehensive 'basic' semen analysis, incorporating careful analysis of sperm morphology, the handbook provides established techniques for the use of computer-aided sperm analysis and sperm functional assessment. The interpretation of laboratory results in the clinical context is highlighted throughout, and safe laboratory practice is emphasized. Fully revised, incorporating the new ISO TS 23162 on basic human semen analysis throughout, this is an invaluable resource to all scientists and technicians who perform diagnostic testing for male-factor infertility.
The European Network for Health Technology Assessment (EUnetHTA) was established in 2006 and comprises over eighty organizations from thirty European countries. In its fifth project phase (Joint Action 3), EUnetHTA set up a quality management system (QMS) to improve the efficiency and standardization of joint work. This article presents EUnetHTA's new QMS and outlines experiences and challenges during its implementation.
Methods
Several working groups defined processes and methods to support assessment teams in creating high-quality assessment reports. Existing guidelines, templates, and tools were refined and missing parts were newly created and integrated into the new QMS framework. EUnetHTA has contributed to Health Technology Assessment (HTA) capacity building through training and knowledge sharing. Continuous evaluation helped to identify gaps and shortcomings in processes and structures.
Results
Based on a common quality management concept and defined development and revision procedures, twenty-seven partner organizations jointly developed and maintained around forty standard operating procedures and other components of the QMS. All outputs were incorporated into a web-based platform, the EUnetHTA Companion Guide, which was launched in May 2018. Concerted efforts of working groups were required to ensure consistency and avoid duplication.
Conclusions
With the establishment of a QMS for jointly produced assessment reports, EUnetHTA has taken a significant step toward a sustainable model for scientific and technical collaboration within European HTA. However, the definition of processes and methods meeting the numerous requirements of healthcare systems across Europe remains an ongoing and challenging task.
This chapter seeks to give an overview of the place of Quality Management (QM) in contemporary fertility practice. It provides the reader with an understanding of the terminology used in QM and explores the definition of quality and success in fertility care. An examination of process modelling in the organisation of services is outlined and an analysis in practical terms as to how QM is applied in practice is provided, covering key issues such as document control, organisational structure and the role of the quality manager. Audit as a tool for improving quality is a fundamental tool and its use within a clinical governance framework including risk management/assessment, and other key responsibilities is detailed. Measuring what we do, analysing performance and setting targets to improve should be fundamental to how we approach our work in contemporary clinical practice.
Drawing on the new institutional theory and the resources based view of the firm (RBV), this study tries to shed light upon the idea that isomorphic organizational changes seek legitimacy over efficiency. Using data from 102 Spanish companies and employing partial least squares, a variance-based structural equation modeling technique, this study concludes that both objectives are achievable simultaneously when firms implement total quality management (TQM) as an integrative stream of both theories. Furthermore, empirical results reveal that: (i) institutional pressures (IP) condition significantly the implementation of TQM, (ii) TQM exerts a double mediating role in the IP-legitimacy and IP-efficiency relationships, and (iii) both efficiency and legitimacy objectives are achieved by means of TQM. However, we observe a dual phenomenon: (i) while we find a significant positive effect of TQM on overall performance (OP) via efficiency and (ii) we failed to find support for the TQM-OP link via legitimacy.
Medical registries are frequently used to generate quality measures with the objective of improving the provision of medical care. Assisted reproductive technology (ART) registries can be used in this manner even if they were initially created for other purposes. Aggregate registry outcomes can be used for internal benchmarking purposes by individual programs. This data can also be used for external Quality Assurance purposes to identify programs that are outliers (low success rates or high multiple gestation rates). Collection of detailed cycle specific information allows benchmarking of process measures that can allow easy identification of specific areas for improvement. Ongoing, daily collection and reporting of key performance indicators (e.g. fertilization rates, embryo development rates) can be used to produce Shewart type control charts to promptly identify and remediate issues that could ultimately result in low birth rates or high risk of multiple gestation.
Morinda reticulata Gamble and Morinda umbellata Linn. (Rubiaceae) are medicinally important climbers distributed as a mixed population in southern Western Ghats of India. A close morphological resemblance of these two species misleads the harvester in the identification of plant parts for preparation of herbal medicines. Though both species contain anthraquinone derivatives and share common medicinal properties for treating stomach disorders, each of these species has unique curative properties for treating selective diseases. Conventional methods are not reliable for identification of these species due to similarities in morphology. Thus, misidentification often leads to the deterioration of the quality of medicines. Thus, authentication utilizing conserved gene sequences in the chloroplast genome of these two Morinda spp. has been attempted for precise identification. Here we report the use of two barcoding genes (maturase kinase and ribulose 1,5-bisphosphate carboxylase large subunit) to distinguish M. reticulata and M. umbellata based on single nucleotide polymorphism. The present findings can be used for authenticating leaf samples of M. reticulata and M. umbellata.
Quality management (QM) principles generally have not been applied to multi-casualty and disaster situations. Quality management incorporates quality assurance (QA) and quality improvement (QI) supported by a management information system (MIS). Since responders to disasters and multi-casualty incidents generally operate on standing orders and/or protocols, the character of the responses lends itself to quality management methods. Standards and indicators of performance readily can be developed for these situations.
Objectives:
1) to format disaster medical records as data collection instruments; 2) to develop appropriate tools that are easy to use for rapid assessments; 3) to develop a mechanism for determination of causes of injuries; and 4) to develop methods to: a) track patients; b) document response and recovery; andc) document the circumstances associated with the event.
Methods:
Model tools using checklists and short, fill-in answers are provided. These tools are designed to be incorporated into the trauma or EMS registries. Emergency medical technicians, nurses, physicians, and medical students scored the same disaster scenario for the functional areas of calling the state of the disaster, triage, and field stabilization.
Results:
Testing indicated that the checklists are completed in less than one minute, and produce objective data per patient in each functional area evaluated. In one instance, data were compiled for 38 patients from one bus accident in less than 10 minutes. The same data were reproduced, without variation, in the same amount of time, by three different providers of varied professional backgrounds.