Search results

The purpose of this paper is to introduce and discuss potential applications of emerging Building Information Model (BIM) and related technologies as applied to healthcare facilities. The paper presents example of applications of digital tools enabled by BIM that support more integrated outcomes for complex healthcare projects.

Paper formulation by a transdisciplinary author group with ideas and approaches developed through discussions and writing to explore future research directions. Initial ideas are supplemented by a literature review with examples introduced where relevant.

BIM as a front-end construction engineering tool is quite mature. Application of BIM and related tools to support complex healthcare at the precinct scale, for facilities management (FM), including improved user experience (UX) has been limited but shows great promise to support complex healthcare projects.

The research presented is limited and exploratory as it represents the first step by this group to investigate an integrated approach to digital healthcare design and FM.

The paper introduces the considerable benefits of BIM models, and related tools for FM and/or UX (both staff and patients) to save time, money and improves efficiency and accuracy in healthcare facilities.

The transdisciplinary author group brought broad perspectives to the potential benefits of combining accurate data-rich legacy building models with other digital tools for increased integration and co-ordination at all life stages of a healthcare precinct.

This paper proposes a method for managing client requirements with the use of Building Information Modelling (BIM). The development of healthcare projects demands a large amount of requirements information, in order to deal with a diversity of clients and frequents changes in healthcare services. The proposed method supports healthcare design by adopting a process-based approach for client requirements management, with the aim of improving value generation.

Design Science Research was the methodological approach adopted in this investigation. The main outcome of this study emerged from an empirical study carried out in a healthcare project in Brazil.

The proposed method involves three stages: (1) capturing and processing requirements; (2) product and requirements modelling, which involves the connection between requirements and the BIM 3-D model and (3) supporting design solution refinement, through the communication of requirements and the assessment of design in relation to updated client requirements information.

This study explores client requirements management from a process perspective, proposing activities and their interdependences and possible sources of data, including healthcare services information. The main theoretical contributions are related to the understanding of the nature and complexity of the information involved in client requirements management, and how this can be modelled.

Several healthcare quality assessment tools measure the processes and outcomes of the care system. The actual physical infrastructure (buildings and organizational) aspects are, however, rarely considered. The purpose of this paper is to describe the process of validation and weighting of an evidence-informed framework for the quality assessment of hospital facilities from social, environmental and organizational perspectives to complement other assessments.

Sustainable High-quality Healthcare version 2 (SustHealth v2) is the updated version of an existing framework composed of three domains (social, environmental and organizational quality). To validate and establish a relevant weighting, interviews were conducted with 15 professionals within the field of healthcare planning, design, research and management. The study has been conducted through semi-structured interviews and the application of the Simon Roy Figueras (SRF) procedure for the elicitation of weights criteria. The data collected have been processed through the DecSpace web platform.

Among the three domains, the organizational qualities appear to be the most important (W = 49%), followed by the environmental (W = 29%) and social aspects (W = 22%). Relevant indicators such as future-proofing, wayfinding and users’ space control emerged as the most important within each macro-area. Those results are confirmed by the outcome of the interviews that highlight user/patient-centeredness, wayfinding strategies and space functionality as the most important concepts to foster in existing healthcare facilities improvement.

The study highlights important structural and organizational aspects that hospital managers and planners can consider when dealing with healthcare facilities’ quality improvement.

The use of the SRF multicriteria method is novel in this context when used to weight an assessment tool with a focus on hospital built environment.

The procurement and supply of crucial healthcare products in the early stages of the COVID-19 emergency were chaotic. To prepare for future crises, we must be able to describe what went wrong, and why, and map out ways to build agility and resilience. How can this be done effectively, given the highly complex and diverse network of actors across governments, care providers and supply chains, and the extreme uncertainty and dynamism in the procurement system and supplier markets? The purpose of this study was to capture learning from practitioners in “real time” in a way that could frame and inform capacity building across healthcare systems with varying procurement and supply management maturity.

This exploratory study involved interviews with 58 senior public procurement practitioners in central and regional governments, NGOs and leaders of professional organizations from 23 countries, very early in the COVID crisis. Following the first, inductive phase of analysis leading to five descriptive dimensions, the awareness-motivation-capability (A-M-C) framework was applied in a further round of coding, to understand immediate challenges faced by procurement practitioners, how the complex, multi-level procurement system that shaped their motivations to respond and critical capabilities required to face these challenges.

Developments across 23 countries and practitioners' learning about procurement and supply in the pandemic crisis can be captured in five overarching themes: governance and organization, knowledge and skills, information systems, regulation and supply base issues. Together these themes cover the strengths and gaps in procurement and supply capability encountered by procurement leaders and front-line personnel. They highlight the various facets of structure, resource and process which constitute organizational capability. However, to account better for the highly dynamic situation characterized by both unprecedented rivalry and cooperation, analysts must also pay attention to actors' emerging awareness of the situation and their rapidly changing motivations.

The application of the A-M-C framework is unique in the healthcare supply chain and disaster management literature. It enables a comprehensive overview of healthcare procurement from a system perspective. This study shows how increasing system preparedness for future emergencies depends both on developing critical capabilities and understanding how awareness and motivation influence the effective deployment of those capabilities.

The purpose of this study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and value creation. This study also aims to explore the potential of combining AI with other technologies, such as cloud computing, blockchain, IoMT, additive manufacturing and 5G, in the healthcare industry.

Exploratory qualitative methodology was chosen to analyze 22 case studies from the USA, EU, Asia and South America. The data source was public and specialized podcast platforms.

The findings show that combining technologies can create a competitive advantage for technology entrepreneurs and bring about transitions from simple consumer devices to actionable healthcare applications. The results of this research identified three main entrepreneurship areas: 1. Analytics, including staff reduction, patient prediction and decision support; 2. Security, including protection against cyberattacks and detection of atypical cases; 3. Performance optimization, which, in addition to reducing the time and costs of medical procedures, includes staff training, reducing capital costs and working with new markets.

This study demonstrates how AI can be used with other technologies to cocreate value in the healthcare industry. This study provides a conceptual framework, “AI facilitators – AI achievers,” based on the findings and offer several theoretical contributions to academic literature in technology entrepreneurship and technology management and industry recommendations for practical implication.

As the size of the population is growing and the capacity of the planet Earth is limited, human beings are searching for sustainable and technology-enabled solutions to support society, ecology and economy. One of the solutions has been developing smart sustainable cities. Smart sustainable cities are cities as systems, where their infrastructure, different subsystems and different functional domains are virtually connected to the information and communication technologies (ICT) and internet via sensors and devices and the Internet of Things (IoT), to collect and process real-time Big Data and make efficient, effective and sustainable solutions for a democratic and liveable city for its various stakeholders. This chapter explores the concepts and practices of sustainable smart cities across the globe and explores the use of technologies such as IoT, Blockchain technology and Cloud computing, etc. their challenges and then presents a view on business models for sustainable smart cities.

The purpose of this rapid review was to present current evidence on relations between resilience and self-efficacy among healthcare practitioners in the context of COVID-19 pandemic.

Literature searches were conducted in February/2022 in the online database MEDLINE EBSCO and not date/time limited. Eligibility criteria were as follows: population – healthcare practitioners, interest – relations between resilience and self-efficacy and context – COVID-19.

Six eligible studies from Italy, China, United Kingdom, India, Pakistan and Spain, published between 2020 and 2021 were included in the review. All studies used quantitative methods. The relations between resilience and self-efficacy were identified in contexts of resilience programs, measuring mental health of frontline nurses, measuring nurses' and nursing students' perception of psychological preparedness for pandemic management, perception of COVID-19 severity and mediating roles of self-efficacy and resilience between stress and both physical and mental quality of life. Findings indicated limited research on this topic and a need for more research.

Broader understanding of the relations between resilience and self-efficacy may help healthcare organizations' leaders/managers aiming to support resilience of their employers under challenging circumstances such as future pandemic.

The latest COVID-19 pandemic presented the opportunity to research relations between resilience and self-efficacy and enrich existed research in a new and extraordinary context.