Features and functions of decision support systems for appropriate diagnostic imaging: a scoping review.

BACKGROUND: Diagnostic imaging decision support (DI-DS) systems could be effective tools for reducing inappropriate diagnostic imaging examinations. Since effective design and evaluation of these systems requires in-depth understanding of their features and functions, the present study aims to map the existing literature on DI-DS systems to identify features and functions of these systems. METHODS: The search was performed using Scopus, Embase, PubMed, Web of Science, and Cochrane Central Registry of Controlled Trials (CENTRAL) and was limited to 2000 to 2021. Analytical studies, descriptive studies, reviews and book chapters that explicitly addressed the functions or features of DI-DS systems were included. RESULTS: A total of 6,046 studies were identified. Out of these, 55 studies met the inclusion criteria. From these, 22 functions and 22 features were identified. Some of the identified features were: visibility, content chunking/grouping, deployed as a multidisciplinary program, clinically valid and relevant feedback, embedding current evidence, and targeted recommendations. And, some of the identified functions were: displaying an appropriateness score, recommending alternative or more appropriate imaging examination(s), providing recommendations for next diagnostic steps, and providing safety alerts. CONCLUSIONS: The set of features and functions obtained in the present study can provide a basis for developing well-designed DI-DS systems, which could help to improve adherence to diagnostic imaging guidelines, minimize unnecessary costs, and improve the outcome of care through appropriate diagnosis and on-time care delivery.

Data-driven approach to quantify trust in medical devices using Bayesian networks.

Bayesian networks are increasingly used to quantify the uncertainty of subjective and stochastic concepts such as trust. In this article, we propose a data-driven approach to estimate Bayesian parameters in the domain of wearable medical devices. Our approach extracts the probability of a trust factor being in a specific state directly from the devices (e.g. sensor quality). The strength of the relationship between related factors is defined by expert knowledge and incorporated into the model. We use propagation rules from requirements engineering to estimate how much each trust factor contributes to the related intermediate nodes in the network and ultimately compute the trust score. The trust score is a relative measure of trustworthiness when different devices are evaluated in the same test conditions and using the same Bayesian structure. To evaluate our approach, we developed Bayesian networks for the trust quantification of similar wearable devices from two manufacturers under identical test conditions and noise levels. The results demonstrated the learnability and generalizability of our approach.

An integrated approach of designing functionality with security for distributed cyber-physical systems.

In this work, we propose a multi-tier architectural model to separate functionality and security concerns for distributed cyber-physical systems. On the line of distributed computing, such systems require the identification of leaders for distribution of work, aggregation of results, etc. Further, we propose a fault-tolerant leader election algorithm that can independently elect the functionality and security leaders. The proposed election algorithm identifies a list of potential leader capable nodes to reduce the leader election overhead. It keeps identifying the highest potential node as the leader, whenever needed, including the situation when one has failed. We also explain the proposed architecture and its management method through a case study. Further, we perform several experiments to evaluate the system performance. The experimental results show that the proposed architectural model improves the system performance in terms of latency, average response time, and the number of real-time tasks completed within the deadline.

Classification of Non-Functional Requirements From IoT Oriented Healthcare Requirement Document.

Internet of Things (IoT) involves a set of devices that aids in achieving a smart environment. Healthcare systems, which are IoT-oriented, provide monitoring services of patients' data and help take immediate steps in an emergency. Currently, machine learning-based techniques are adopted to ensure security and other non-functional requirements in smart health care systems. However, no attention is given to classifying the non-functional requirements from requirement documents. The manual process of classifying the non-functional requirements from documents is erroneous and laborious. Missing non-functional requirements in the Requirement Engineering (RE) phase results in IoT oriented healthcare system with compromised security and performance. In this research, an experiment is performed where non-functional requirements are classified from the IoT-oriented healthcare system's requirement document. The machine learning algorithms considered for classification are Logistic Regression (LR), Support Vector Machine (SVM), Multinomial Naive Bayes (MNB), K-Nearest Neighbors (KNN), ensemble, Random Forest (RF), and hybrid KNN rule-based machine learning (ML) algorithms. The results show that our novel hybrid KNN rule-based machine learning algorithm outperforms others by showing an average classification accuracy of 75.9% in classifying non-functional requirements from IoT-oriented healthcare requirement documents. This research is not only novel in its concept of using a machine learning approach for classification of non-functional requirements from IoT-oriented healthcare system requirement documents, but it also proposes a novel hybrid KNN-rule based machine learning algorithm for classification with better accuracy. A new dataset is also created for classification purposes, comprising requirements related to IoT-oriented healthcare systems. However, since this dataset is small and consists of only 104 requirements, this might affect the generalizability of the results of this research.

Exploring the comfort of head personal protective equipment for Chinese firefighters: an interview study.

Head personal protective equipment (HPPE), such as helmets and masks, is protective equipment worn by firefighters to protect their head, neck and face when they are performing tasks. As a wearable device, HPPE significantly affects firefighters' occupational safety and health along with job performance. This study aims to explore the influential factors of HPPE comfort and collect corresponding functional requirements. A semi-structured interview was conducted among five focus groups comprising 31 Chinese firefighters. Through a qualitative analysis of the interview results, eight dimensions of HPPE comfort were proposed: perceived change, movement, attachment, harm, emotion, anxiety, thermal comfort and comfort of vision and hearing. The aspects of weight and size matching are the important reasons behind the comfort problems of the current HPPE. Four aspects of functional requirements were summarized: communication tools, goggles, full-face helmets and lighting. The study findings will provide references for improving HPPE design.

On systematically building a controlled natural language for functional requirements.

Natural language (NL) is pervasive in software requirements specifications (SRSs). However, despite its popularity and widespread use, NL is highly prone to quality issues such as vagueness, ambiguity, and incompleteness. Controlled natural languages (CNLs) have been proposed as a way to prevent quality problems in requirements documents, while maintaining the flexibility to write and communicate requirements in an intuitive and universally understood manner. In collaboration with an industrial partner from the financial domain, we systematically develop and evaluate a CNL, named Rimay, intended at helping analysts write functional requirements. We rely on Grounded Theory for building Rimay and follow well-known guidelines for conducting and reporting industrial case study research. Our main contributions are: (1) a qualitative methodology to systematically define a CNL for functional requirements; this methodology is intended to be general for use across information-system domains, (2) a CNL grammar to represent functional requirements; this grammar is derived from our experience in the financial domain, but should be applicable, possibly with adaptations, to other information-system domains, and (3) an empirical evaluation of our CNL (Rimay) through an industrial case study. Our contributions draw on 15 representative SRSs, collectively containing 3215 NL requirements statements from the financial domain. Our evaluation shows that Rimay is expressive enough to capture, on average, 88% (405 out of 460) of the NL requirements statements in four previously unseen SRSs from the financial domain.

Propuesta de requisitos generales para el sistema de gestión documental de la Universidad de La Habana / Proposal of general requirements for the document management system at the University of Havana

El objetivo de la presente investigación fue proponer una especificación de requisitos generales para el sistema de gestión documental de la Universidad de La Habana consecuente con un ejercicio de gobierno más responsable, abierto, transparente e inclusivo, con un enfoque orientado a la rendición de cuentas y a un mayor control social. La investigación presentó un diseño descriptivo y un enfoque mixto, con predominio cualitativo. Para contribuir al desarrollo de un sistema de información que creara capacidades sobre la base de información de calidad en esta institución, el estudio se basó en la triangulación de dos metodologías: una desde el dominio de la gestión documental y otra desde la ingeniería de requisitos. Como resultado, se presentaron 22 elementos y 201 requisitos, entre funcionales y no funcionales, con un carácter flexible y modular, que deben ser establecidos para el funcionamiento efectivo del sistema de gestión documental de esta Universidad(AU)

The purpose of the study was to propose a general requirements specification for the document management system at the University of Havana, in keeping with more responsible, open, transparent and inclusive governance, an accountability-oriented approach and greater social control. The research had a descriptive design, a mixed approach and qualitative predominance. To contribute to the development of an information system which would build capacities on the basis of quality information in this institution, the study was based on the triangulation of two methodologies: one from the document management domain and the other from requirements engineering. As a result, 22 items and 201 requirements were presented, both functional and non-functional, of a flexible and modular nature, which should be established for the effective operation of the document management system at this university(AU)

From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability.

Advances in Data Science permeate every field of Transportation Science and Engineering, resulting in developments in the transportation sector that are data-driven. Nowadays, Intelligent Transportation Systems (ITS) could be arguably approached as a "story" intensively producing and consuming large amounts of data. A diversity of sensing devices densely spread over the infrastructure, vehicles or the travelers' personal devices act as sources of data flows that are eventually fed into software running on automatic devices, actuators or control systems producing, in turn, complex information flows among users, traffic managers, data analysts, traffic modeling scientists, etc. These information flows provide enormous opportunities to improve model development and decision-making. This work aims to describe how data, coming from diverse ITS sources, can be used to learn and adapt data-driven models for efficiently operating ITS assets, systems and processes; in other words, for data-based models to fully become actionable. Grounded in this described data modeling pipeline for ITS, we define the characteristics, engineering requisites and challenges intrinsic to its three compounding stages, namely, data fusion, adaptive learning and model evaluation. We deliberately generalize model learning to be adaptive, since, in the core of our paper is the firm conviction that most learners will have to adapt to the ever-changing phenomenon scenario underlying the majority of ITS applications. Finally, we provide a prospect of current research lines within Data Science that can bring notable advances to data-based ITS modeling, which will eventually bridge the gap towards the practicality and actionability of such models.

On the Use of Standards and Guidelines as a Tool to Fulfil Regulatory Requirements.

Over the years, industrial safety regulation has shifted from a "hard" command and control regime to a "soft" regime. A "hard" regime includes the use of strict prescriptive requirements which explain how industry should solve particular issues. A "soft" regime, uses more functional requirements, pointing out what goals are to be achieved. In a "soft" regime, prescriptive standards might still exist, but they are considered suggested solutions, with alternative solutions also being considered if they achieve the overall regulatory goals. The purpose of such a shift is to create regulations that are more flexible, meaning that they are more open for the use of novel technology and for the use of risk assessments as a basis for decision making. However, it is not clear that the shift from a hard to a soft regime has made it easier to use risk assessments for such a purpose in practice. In the present article, we discuss the limitations caused by strict adherence to prescriptive requirements presented in standards or regulations and present our perspective on why and how these can limit risk management in practice. The article aims to discuss the strengths and weaknesses, with regard to risk management, when regulations are strictly dependent on prescriptive or specification-based standards and guidelines. Several examples are used to illustrate some of the main challenges related to the use of specification-based technical standards and how the regulatory shift from "hard" to "soft" has not necessarily made it easier to implement technological solutions based on risk assessments.

Assistive robots to improve the independent living of older persons: results from a needs study.

BACKGROUND: More than 70% of elderly people age 80 and older are experiencing problems in personal mobility. Assistive robotics can represent a concrete support providing also a support for caregivers, clinicians and nurses by reducing their burden. METHODS: A total of 20 older people and 34 caregivers (formal and informal) were interviewed in Italy and the Netherlands to investigate and prioritize their needs concerning the personal mobility domains and their attitudes towards assistive robots. The data were analysed from a user point of view by means of thematic content analysis by underlying recurrent topics. RESULTS: The results revealed four categories of needs from the perspective of the older individuals: instrumental needs, rehabilitation needs, personal safety and indoor activities of daily life. Additionally, the results underline how personal mobility issues influence different aspects of daily life. Complementarily, three categories of caregiver needs were also distinguished: instrumental needs, rehabilitation monitoring needs and checkup needs. The highest percentage of participants showed a positive expectation towards assistive robotics. CONCLUSIONS: The results were clustered according to the robot abilities (i.e., motion, interaction, manipulation, decision support and perception abilities) as a list of functional and technical requirements that should be developed to address all the needs related to the personal mobility. Robotic developer teams that work in this context could take advantage of this research. Additionally, this work can be used as a basis for clinicians and nurses working in geriatric units to understand how the robots can support and enhance their work. Implications for rehabilitation The incidence of personal mobility limitations affects 35% of adults age 70 and older and 72% of people over 80 years of age. Assistive robots can support elderly people during daily tasks: they could promote their personal mobility acting as a supporting tool. The results of the needs analysis revealed four categories of needs from the perspective of the older individuals: instrumental needs, rehabilitation needs, personal safety, and indoor activities of daily life. Three categories of caregiver needs were also distinguished: instrumental needs, rehabilitation monitoring needs, and check-up needs.

Software Requirements Classification Using Machine Learning Algorithms.

The correct classification of requirements has become an essential task within software engineering. This study shows a comparison among the text feature extraction techniques, and machine learning algorithms to the problem of requirements engineer classification to answer the two major questions "Which works best (Bag of Words (BoW) vs. Term Frequency-Inverse Document Frequency (TF-IDF) vs. Chi Squared (CHI2)) for classifying Software Requirements into Functional Requirements (FR) and Non-Functional Requirements (NF), and the sub-classes of Non-Functional Requirements?" and "Which Machine Learning Algorithm provides the best performance for the requirements classification task?". The data used to perform the research was the PROMISE_exp, a recently made dataset that expands the already known PROMISE repository, a repository that contains labeled software requirements. All the documents from the database were cleaned with a set of normalization steps and the two feature extractions, and feature selection techniques used were BoW, TF-IDF and CHI2 respectively. The algorithms used for classification were Logist Regression (LR), Support Vector Machine (SVM), Multinomial Naive Bayes (MNB) and k-Nearest Neighbors (kNN). The novelty of our work is the data used to perform the experiment, the details of the steps used to reproduce the classification, and the comparison between BoW, TF-IDF and CHI2 for this repository not having been covered by other studies. This work will serve as a reference for the software engineering community and will help other researchers to understand the requirement classification process. We noticed that the use of TF-IDF followed by the use of LR had a better classification result to differentiate requirements, with an F-measure of 0.91 in binary classification (tying with SVM in that case), 0.74 in NF classification and 0.78 in general classification. As future work we intend to compare more algorithms and new forms to improve the precision of our models.

A Conceptual Model of an Oncology Information System.

INTRODUCTION: Oncologists are usually faced with a huge amount of diagnostic and therapeutic data in the process of cancer care. However, they do not have access to the integrated data. This research aimed to present a conceptual model of an oncology information system based on the users' requirements. METHODS: This study was conducted in 2019 and composed of two phases. Initially, a questionnaire was designed, and clinical experts (n=34) were asked to identify the most important data elements and functional requirements in an oncology information system. In the second phase, conceptual, structural and behavioral diagrams of the system were drawn based on the results of the first phase. These diagrams were also reviewed and validated by five experts. RESULTS: Most of the data elements and all functional requirements were found important by the experts. The data elements were related to different phases of cancer care including screening, prevention, diagnosis, treatment, mental care and pain relief, and end-of-life care. Then, conceptual, structural and behavioral diagrams of the system were designed and approved by the experts or revised based on their comments. CONCLUSION: The conceptual model and the diagrams presented in the current study can be used for developing an oncology information system. This system will be able to manage patients' cancer data from screening to the end-of-life care. However, the system needs to be designed and implemented in a real healthcare setting to see how it can meet users' requirements.

SiTe iC: A telemonitoring system for heart failure patients.

In the last years, multidisciplinary post-discharge treatment programs, such as telemonitoring, have been promoted as a strategy for Heart Failure (HF) management. However, the distinctive requirements that a telemonitoring system should have, have not been clearly identified. To this aim, the most relevant requirements for telemonitoring of HF patients are derived from evidence-based Clinical Practice Guidelines (CPGs) for HF management. The main objective of this work is to present a prototype of a telemonitoring system for HF patients, named SiTe iC, that has been developed based on the identified requirements, highlighting its design and evaluation. A first prototype of the system was designed and programmed. It consists of an mHealth app for HF patients, a website for physicians who monitor patients, and a server which runs an Application Programming Interface to allow communication between the app and the website. The system was thoroughly assessed through a clinical trial that demonstrates that telemonitoring using SiTe iC actually improves patients self-care when compared to usual care and it has the potential to avoid patient re-hospitalizations. This study demonstrated that the identified functional requirements for telemonitoring systems are relevant. In addition, thanks to SiTe iC, HF patients would take a more active role in their disease management by improving self-care.

Microbial diversity and functional response to the redox dynamics of pyrite-rich sediment and the impact of preload surcharge.

Microbial diversity and activities play pivotal biogeochemical roles in a redox-sensitive, pyrite-rich sediment's ecosystem. However, very little is known about the microbial community composition and distribution among the redox zones of pyrite-rich sediment and their response to changes caused by the burial of the sediment beneath compacted fill. In the present work, culture-independent, molecular phylogenetic investigations of the prokaryotic population and its diversity in a naturally occurring pyrite-rich sediment were undertaken to determine the microbial community composition, richness, diversity and distributions among the varying redox zones and their functional response to the imposition of surface surcharge, in the form of compacted fill. It was established that the pyrite-rich sediment is a redox-sensitive environment consisting of microhabitats with distinct and discontinuous physico-chemical characteristics, including DO, pH, Eh, temperature, electrical conductivity and salinity. It is a favourable environment for cyclic transformation of inorganic sulphur compounds and a unique environment for the habitation and growth of various microorganisms. Microbes adapted to the microhabitat and lived together in consortia, in response to their physiological and functional requirements. Microbes involved in the sulphur cycle had their populations concentrated in the oxic zone, while those involved in iron and carbon cycles were prevalent in the anoxic zones. As a result, highly diverse microbial populations occurred in isolated peaks within the sediment. The physico-chemical differences within the sediment changed in response to changes in the sediment redox dynamics. Imposition of the surcharge resulted in significant changes in the pH, temperature, Eh, DO, EC and salinity, reflecting marked re-distribution of the microbial population within the ecosystem. The cable bacteria phenomenon was evident in the sediment studied; however, there were doubt regarding their filamentous occurrence.

[Comparison of current critical care information systems from the perspective of clinical users : Summary of the results of a German nationwide survey]. / Vergleich aktueller Patientendatenmanagementsysteme in der Intensivmedizin aus Sicht der klinischen Nutzer : Zusammenfassung der Ergebnisse einer deutschlandweiten Umfrage.

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 automotive head-up displays: A systematic review of literature from 1994 to present.

Despite the long history of automotive head-up displays (HUDs), what information they should display in different situations to best serve the driver remains unanswered. The lack of understanding hinders designing useful automotive HUD systems. In an effort to address this, the current study investigated the developer, researcher and user perspectives on the functional requirements of automotive HUDs through literature review. The review results indicated that: 1) the existing commercial HUDs perform largely the same functions as the conventional in-vehicle displays, 2) past research studies proposed various HUD functions for improving driver situation awareness and driving safety, 3) autonomous driving and other new technologies are giving rise to new HUD information, and 4) little research is currently available on HUD users' perceived information needs. Based on the review results, this study provides insights into the functional requirements of automotive HUDs and also suggests some future research directions for automotive HUD design.

Designing and evaluating functional laboratory information system requirements integrated to hospital information systems.

RATIONALE, AIMS, AND OBJECTIVES: Laboratory information sub-systems play an important role in diagnosis and treatment of patients. This study aimed to determine functional requirements of users and assess the existence of these requirements in the laboratory information system. METHOD: This descriptive cross-sectional study was conducted in 2016 in two phases. The first phase was done through three stages. First, based on an unsystematic review of related literature, an outline of functional laboratory information system requirements was identified. In the second stage, these requirements were identified in group meetings in the form of a semi-structured questionnaire and given to experts. Then, modified Delphi technique was used to reach agreement on each item. Then, based on experts' comments, the final version of the questionnaire was presented including 61 closed-ended items using Likert scale and an open-ended item. It was surveyed by 50 experts using Delphi technique. Responses were scored, and the requirements whose mean final score was 3 and above were finally confirmed. In the second phase, based on the confirmed requirements, a checklist comprising 68 requirements was prepared and adopted hospital information systems were evaluated through researcher observation. Data were analysed using descriptive statistics. RESULTS: The final list of functional laboratory information system requirements was prepared with 68 items. The results of the evaluation revealed that confirmed requirements existed in 58.8% of hospital information systems. CONCLUSION: Laboratory information system requirements were designed with 68 items. Evaluation results showed that the systems were moderate in terms of compliance with the requirements.

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.

El modelo FRBR en el servicio de referencia y su implementación en los catálogos automatizados / The model FRBR in the reference service and its implementation in automated catalogs

Los catálogos en linea u OPACs (Online public access catalog) que paulatinamente se están implementando en las organizaciones de información, son utilizados tanto por referencistas como por usuarios finales, quienes necesitan que la visualización de los registros bibliográficos permita una comprensión clara, definida y con precisión de la información recuperada. En el presente trabajo se exponen las potencialidades para una mejor visualización de los registros bibliográficos que ofrece, fundamentalmente para el servicio de referencia, la implementación del modelo de requisitos funcionales para registros bibliográficos (FRBR) en los catálogos en línea de las organizaciones de información. Tales beneficios se manifiestan en la descripción bibliográfica, el almacenamiento de datos, la formulación de búsquedas bibliográficas y la recuperación de información. Se toma el catálogo mundial WorldCat como ejemplo de aplicación del modelo FRBR. Se recomienda valorar el trabajo manual y capacitación del personal bibliotecario requerido para implementar este modelo conceptual, así como tener en cuenta el costo de inversión de su generalización en los catálogos de las bibliotecas.

Online catalogs or OPAC (Online Public Access Catalog) which are gradually being implemented in organizations of information are used by both end users and reference librarians, who require the display of bibliographic records allow a clear, defined and accuracy of the information retrieved. The present study discusses the potential for better visualization of bibliographic records offered, primarily for reference services, by the implementation of the model of functional requirements for bibliographic records (FRBR) in online catalogs of information organizations; these benefits are manifested in the bibliographic description, data storage, in developing a literature search and information retrieval. The WorldCat global catalog is taken as an example of implementing the FRBR model. It is also recommended to assess how much manual work and training of library staff is needed to implement this conceptual model and take into account the capital cost of its general implementation in the libraries catalogs.