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Article
Publication date: 23 November 2023

Luciano de Brito Staffa Junior, Dayana Bastos Costa, João Lucas Torres Nogueira and Alisson Souza Silva

This work aims to develop a web platform for inspecting roof structures for technical assistance supported by drones and artificial intelligence. The tools used were HTML, CSS and…

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Abstract

Purpose

This work aims to develop a web platform for inspecting roof structures for technical assistance supported by drones and artificial intelligence. The tools used were HTML, CSS and JavaScript languages; Firebase software for infrastructure; and Custom Vision for image processing.

Design/methodology/approach

This study adopted the design science research approach, and the main stages for the development of the web platform include (1) creation and validation of the roof inspection checklist, (2) validation of the use of Custom Vision as an image recognition tool, and (3) development of the web platform.

Findings

The results of automatic recognition showed a percentage of 77.08% accuracy in identifying pathologies in roof images obtained by drones for technical assistance.

Originality/value

This study contributed to developing a drone-integrated roof platform for visual data collection and artificial intelligence for automatic recognition of pathologies, enabling greater efficiency and agility in the collection, processing and analysis of results to guarantee the durability of the building.

Details

International Journal of Building Pathology and Adaptation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-4708

Keywords

Article
Publication date: 4 April 2023

Narender Nalajala, Mitesh Panchal and Laura Gotting

Orthopaedics, rheumatology, pain management, specialist radiology and therapy services were brought under one umbrella to form Northwest Surrey integrated musculoskeletal (IMSK…

Abstract

Purpose

Orthopaedics, rheumatology, pain management, specialist radiology and therapy services were brought under one umbrella to form Northwest Surrey integrated musculoskeletal (IMSK) services and introduced advance clinical practice, a multi-disciplinary team triage with a formalised straight to test (STT) process defined in 2018. Historically, prior to these services' integration, there were a primary and second care triage systems within individual specialities. The aim of this service evaluation is to assess the impact of a single IMSK multidisciplinary triage (MDT) system and the efficacy of STT from triage, which allows patients to be sent for diagnostics based on the cluster of symptoms and past medical history in order to achieve early identification of serious pathologies. This is a complex adaptive system with pathways spanning into the core areas of orthopaedics, rheumatology, therapies, pain management services, radiology and some less frequent specialities such as neurology, oncology, vascular and gynaecology. One of the objectives of this study was to identify how many referrals were triaged to consultants, Advance practice and therapies. In addition, the authors wanted to highlight the proportion of referrals that were sent straight to test from triage and the percentage of these that had sinister pathology identified. This information would then be compared against existing red flag literature to identify common themes. This study aims to discuss the aforementioned objectives.

Design/methodology/approach

Data were extracted retrospectively from a hospital database from January to December 2019 for all the adult musculoskeletal service referrals. The data collected were analysed on a Microsoft Excel sheet with information including date of triage, hospital number, ordering clinician, body part, type of diagnostic, indications for scanning, outcome for STT, serious pathology findings (named code 5 within our trust) and outcome of appointment.

Findings

A total of 47,039 referrals were received into the IMSK service. Of these referrals 19,967 were directly referred to therapies, with 27,072 referrals received into the IMSK service MDT process. Within triage, 718 patients were directed to STT to rule out serious pathology. A total of 28 patients (3.9%) had sinister pathology identified on their investigation. A total of 46% of patients were discharged from their first consultation following STT. Overall, 50% of the total number of referrals into the IMSK service was seen by advanced practitioners with 16% of patients directed to consultants with pre-consultation diagnostic work up.

Originality/value

This service evaluation highlights that STT allows early access to diagnostics, resulting in quicker access to identification of sinister pathology. A one stop MDT system has been shown to be effective in guiding the referral to the right place with increased referrals into allied health advance practice clinics and access to therapies directly. It has resulted in a reduction of unwarranted referrals to consultant care, duplication of investigations and identified patients on multiple pathways.

Details

Journal of Integrated Care, vol. 31 no. 2
Type: Research Article
ISSN: 1476-9018

Keywords

Article
Publication date: 28 March 2023

Yasemin Akbulut, Alp Usubütün, Fatih Durur and Gamze Kutlu

The aim of this study is to determine the effect of the application of the lean methodoloy in the pathology laboratory and to evaluate the results on the turnaround time.

Abstract

Purpose

The aim of this study is to determine the effect of the application of the lean methodoloy in the pathology laboratory and to evaluate the results on the turnaround time.

Design/methodology/approach

This study was a prospective intervention study formed of the three stages of pre-intervention, determination of problem areas and the application of lean techniques and quality improvement. The study was conducted between February 2019 and August 2020. In the first stage, research was made through interviews, observations, questionnaires and seminars; in the second stage, observations, brain-storming, process flowcharts and fishbone diagram were used; and in the third stage, Kaizen, A3 method and spaghetti diagram were applied.

Findings

Following the application of lean techniques, turnaround time in the pathology laboratory was decreased, and the changes made in the working methods and placement of the units in the laboratory were found to have prevented unnecessary steps. The lean method was also determined to have had positive effects on the workplace satisfaction of the laboratory employees and of the physicians working with the laboratory.

Originality/value

The results showed that applying lean techniques could reduce waste and increase participation in processes. This article demonstrates its originality and relevance by proving that the lean techniques can be applied in the hospital laboratory. Actions to improve turnaround time are also crucial for the efficient use of resources.

Details

International Journal of Lean Six Sigma, vol. 14 no. 3
Type: Research Article
ISSN: 2040-4166

Keywords

Article
Publication date: 20 September 2022

Jillian Cavanagh, Timothy Bartram, Matthew Walker, Patricia Pariona-Cabrera and Beni Halvorsen

The purpose of this study is to examine the rostering practices and work experiences of medical scientists at four health services in the Australian public healthcare sector…

Abstract

Purpose

The purpose of this study is to examine the rostering practices and work experiences of medical scientists at four health services in the Australian public healthcare sector. There are over 16,000 medical scientists (AIHW, 2019) in Australia responsible for carrying out pathology testing to help save the lives of thousands of patients every day. However, there are systemic shortages of medical scientists largely due to erratic rostering practices and workload issues. The purpose of this paper is to integrate evidence-based human resource management (EBHRM), the LAMP model and HR analytics to enhance line manager decision-making on rostering to support the wellbeing of medical scientists.

Design/methodology/approach

Using a qualitative methodological approach, the authors conducted 21 semi-structured interviews with managers/directors and nine focus groups with 53 medical scientists, making a total 74 participants from four large public hospitals in Australia.

Findings

Across four health services, manual systems of rostering and management decisions do not meet the requirements of the enterprise agreement (EA) and impact negatively on the wellbeing of medical scientists in pathology services. The authors found no evidence of the systematic approach of the organisations and line managers to implement the LAMP model to understand the root causes of rostering challenges and negative impact on employees. Moreover, there was no evidence of sophisticated use of HR analytics or EBHRM to support line managers' decision-making regarding mitigation of rostering related challenges such as absenteeism and employee turnover.

Originality/value

The authors contribute to HRM theory by integrating EBHRM, the LAMP model (Boudreau and Ramstad, 2007) and HR analytics to inform line management decision-making. The authors advance understandings of how EBHRM incorporating the LAMP model and HR analytics can provide a systematic and robust process for line managers to make informed decisions underpinned by data.

Details

Personnel Review, vol. 53 no. 1
Type: Research Article
ISSN: 0048-3486

Keywords

Case study
Publication date: 13 March 2024

Salehin Ahmadi, Ubada Aqeel and Shikha Gera

The learning objectives have been prepared following Bloom’s taxonomy (Bloom et al., 1956). After completing the case study, the students will be able to identify and recall the…

Abstract

Learning outcomes

The learning objectives have been prepared following Bloom’s taxonomy (Bloom et al., 1956). After completing the case study, the students will be able to identify and recall the prerequisites necessary for establishing a pathology laboratory. (knowledge); analyze the micro- and macroenvironmental factors considered by Mr Sabihul Haque in the development of the strategic plan for Healthcare Laboratories (HCL) (knowledge and application); explain the key components of the Porter’s value chain and their significance in the operation of HCL (comprehension and evaluation); use the TOWS analysis to map the internal strengths, weaknesses, opportunities and threats of HCL (application and synthesis); and analyze the challenges faced by protagonist in managing HCL and generate suggestions for addressing the challenges (analysis and synthesis).

Case overview/synopsis

HCL, an enterprise established in 2018 in Sahdeo Khap, Gaya, Bihar, India, aims to provide high-quality pathological diagnostic services in semi-urban and rural areas. This health-care initiative is pioneering, offering pathology services to make high-quality, low-cost diagnostic services accessible in rural India. In rural settings, numerous health-care hurdles make it challenging for individuals to access the care they need. Since its inception, HCL has expanded its reach to connect more areas, facilitating diagnostic services for people in remote regions. The establishment of laboratories in semi-urban areas aims to reduce patient travel time, costs and health risks by bringing services directly to their doorstep. Haque, the chief executive officer of the lab, grappled with multiple challenges, including selecting an appropriate location for the lab, recruiting and retaining skilled workforce, managing logistics supply, collaborating with local health-care providers, dispelling the stigma among the population that superior services are only available in cities and enhancing health literacy in rural communities. Following numerous meetings with Ms Ummati Naiyyer, head of operations, they worked collaboratively to address these challenges, developing a blueprint and future plan to operate services in rural areas. This case study provides insights into the obstacles faced by HCL striving for success in rural areas. It elucidates the beneficial application of the Porter’s value chain, along with an analysis of macro- and microenvironmental factors. Unique challenges such as societal stigma and mistrust are specifically emphasized. Students engaging with this case study will enhance their problem-solving skills through brainstorming and providing recommendations, contributing to potential solutions for HCL’s difficulties.

Complexity academic level

The teaching notes for the HCL case is designed to enhance the learning experience of undergraduate and graduate students within the context of the course. This case study serves as a valuable teaching tool, allowing students to apply theoretical knowledge to real-world scenarios in the health-care industry. The notes provide a framework for instructors to facilitate discussions, encourage critical thinking and promote a deeper understanding of key concepts related to establishing diagnostic laboratories in rural areas.

Supplementary materials

Teaching notes are available for educators only.

Subject code

CSS3: Entrepreneurship.

Details

Emerald Emerging Markets Case Studies, vol. 14 no. 1
Type: Case Study
ISSN: 2045-0621

Keywords

Content available

Abstract

Details

International Journal of Building Pathology and Adaptation, vol. 41 no. 3
Type: Research Article
ISSN: 2398-4708

Article
Publication date: 25 January 2024

Najah Shawish, Mariam Kawafha, Andaleeb Abu Kamel, Dua’a Al-Maghaireh and Salam Bani Hani

This study aims to explore the effects of cat-assisted therapy (Ca-AT) on a patient in their homes, specifically investigating the effects on patient’s memory, behavioral…

Abstract

Purpose

This study aims to explore the effects of cat-assisted therapy (Ca-AT) on a patient in their homes, specifically investigating the effects on patient’s memory, behavioral pathology and ability to perform activities of daily living, independently.

Design/methodology/approach

A case study design was used in patient’s homes using three measuring scales, namely, Mini-Mental State Examination (MMSE), Barthel index (BI) and Behavioral Pathology in Alzheimer’s Disease (AD) Rating Scale.

Findings

The MMSE and BI mean scores were increased, whereas the Behavioral Pathology mean score was decreased. Patient negative behaviors were improved specifically, aggressiveness, anxieties, phobias, and caregiver burden was decreased.

Practical implications

Patients with AD could significantly benefit from Ca-AT in their own homes, and it could decrease caregiving burden.

Originality/value

Ca-AT is a newly developed type of animal-assisted therapy that uses cats to treat patients, especially elderly people with AD, in their homes.

Details

Working with Older People, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1366-3666

Keywords

Article
Publication date: 8 August 2023

Mary Carlson, Wendy Krueger and Amy Van Hecke

This paper discusses the elements of successful university-level, cross-disciplinary course development using best practices to foster richer relational networks and to meet the…

Abstract

Purpose

This paper discusses the elements of successful university-level, cross-disciplinary course development using best practices to foster richer relational networks and to meet the complex demands of education and treatment for children with autism spectrum disorder (ASD).

Design/methodology/approach

The three authors created and taught a class on best practices in autism nine times. The authors assessed the knowledge base and attitudinal changes of undergraduates (most in psychology, speech pathology and audiology, and education) for two of the nine cohorts who were being prepared to work with individuals with ASD.

Findings

Pre- and postmeasures indicated significant improvement in knowledge and a predisposition to working in interdisciplinary teams. Anecdotally, a number of students indicated in course evaluations that this was their best undergraduate course.

Practical implications

The program development and research have pertinent implications for faculty who are preparing students for professions in which teamwork will be expected, for faculty preparing students to work with individuals with ASD and for any faculty who wish to engage in cross-disciplinary, collaborative teaching.

Originality/value

This is a unique look at best practices of college course development and best practices of the multiple professional fields for which students were being prepared. It was done across three different colleges within a university.

Article
Publication date: 9 September 2022

Madalena Ventura, Ilídio S. Dias, Inês Flores-Colen and Ana Silva

This research proposes the study of the pathology in floor finishes, focussing on proactive maintenance strategies to promote the durability of these elements. A model to assess…

Abstract

Purpose

This research proposes the study of the pathology in floor finishes, focussing on proactive maintenance strategies to promote the durability of these elements. A model to assess the floorings' performance levels was designed to support decision-making regarding maintenance activities to be carried out, in order to prevent the defects and extend the floors' service life.

Design/methodology/approach

The model to measure the floorings' level of performance was developed based on the literature and applied in fieldwork, focussed on visual inspections of floor finishes. Photographs were taken and standardized inspection forms were used to collect the data about the defects in the floors.

Findings

This study provides a simple classification model to assess floorings' performance levels, capable to define priorities and help decision-makers in adopting maintenance activities. The model was validated through a case study, which showed that occasionally the choice of the floor finishes is incorrectly made only based on aesthetic criteria and not taking into account the main criteria, i.e. the use of space.

Originality/value

This work contributes to a development of methodologies to assess floorings' performance levels, to study the behavior of different floor finishes, to propose maintenance strategies to improve their performance in service and adopt better solutions in the buildings' design phase.

Details

International Journal of Building Pathology and Adaptation, vol. 41 no. 3
Type: Research Article
ISSN: 2398-4708

Keywords

Article
Publication date: 22 March 2022

Shiva Sumanth Reddy and C. Nandini

The present research work is carried out for determining haemoprotozoan diseases in cattle and breast cancer diseases in humans at early stage. The combination of LeNet and…

Abstract

Purpose

The present research work is carried out for determining haemoprotozoan diseases in cattle and breast cancer diseases in humans at early stage. The combination of LeNet and bidirectional long short-term memory (Bi-LSTM) model is used for the classification of heamoprotazoan samples into three classes such as theileriosis, babesiosis and anaplasmosis. Also, BreaKHis dataset image samples are classified into two major classes as malignant and benign. The hyperparameter optimization is used for selecting the prominent features. The main objective of this approach is to overcome the manual identification and classification of samples into different haemoprotozoan diseases in cattle. The traditional laboratory approach of identification is time-consuming and requires human expertise. The proposed methodology will help to identify and classify the heamoprotozoan disease in early stage without much of human involvement.

Design/methodology/approach

LeNet-based Bi-LSTM model is used for the classification of pathology images into babesiosis, anaplasmosis, theileriosis and breast images classified into malignant or benign. An optimization-based super pixel clustering algorithm is used for segmentation once the normalization of histopathology images is conducted. The edge information in the normalized images is considered for identifying the irregular shape regions of images, which are structurally meaningful. Also, it is compared with another segmentation approach circular Hough Transform (CHT). The CHT is used to separate the nuclei from non-nuclei. The Canny edge detection and gaussian filter is used for extracting the edges before sending to CHT.

Findings

The existing methods such as artificial neural network (ANN), convolution neural network (CNN), recurrent neural network (RNN), LSTM and Bi-LSTM model have been compared with the proposed hyperparameter optimization approach with LeNET and Bi-LSTM. The results obtained by the proposed hyperparameter optimization-Bi-LSTM model showed the accuracy of 98.99% when compared to existing models like Ensemble of Deep Learning Models of 95.29% and Modified ReliefF Algorithm of 95.94%.

Originality/value

In contrast to earlier research done using Modified ReliefF, the suggested LeNet with Bi-LSTM model, there is an improvement in accuracy, precision and F-score significantly. The real time data set is used for the heamoprotozoan disease samples. Also, for anaplasmosis and babesiosis, the second set of datasets were used which are coloured datasets obtained by adding a chemical acetone and stain.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 16 no. 4
Type: Research Article
ISSN: 1756-378X

Keywords

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