DIAISHM´27 - Digital Innovation, Artificial Intelligence and Sustainability in Healthcare Management

 

Description

Healthcare organisations operate in increasingly complex and dynamic environments, facing growing pressure to improve clinical outcomes, optimise resource allocation, ensure financial sustainability, and minimise their environmental and social impacts. At the same time, rapid technological advances, particularly in information systems (IS), artificial intelligence (AI), and data analytics, are creating new opportunities to transform healthcare management and develop more efficient, resilient, and sustainable healthcare organisations.

In this context, information systems and emerging digital technologies play a strategic role in supporting evidence-based decision-making, integrating clinical and administrative processes, improving cost and performance management, and promoting sustainability across healthcare units. Artificial intelligence and advanced analytics further enhance these capabilities by enabling predictive modelling, intelligent resource allocation, process optimisation, and the development of innovative management and decision-support tools.

However, the adoption of these technologies also raises important challenges regarding implementation costs, organisational readiness, data governance, algorithmic transparency, ethical responsibility, and the assessment of their economic, environmental, and social impacts. Understanding how digital technologies can contribute to sustainable healthcare management requires multidisciplinary approaches that integrate technological innovation with management, accounting, and organisational perspectives.

This Special Issue aims to advance theoretical and empirical knowledge on how information systems, artificial intelligence, and digital technologies can support the effective and sustainable management of healthcare units. Particular attention is given to their contribution to operational efficiency, financial sustainability, clinical performance, environmental responsibility, and social value creation.

The issue stems from the Special Track on "Information Systems for Healthcare Unit Management" held at ICISMED 2027. Selected papers presented at the conference will be invited to submit extended versions for consideration in this publication.

We welcome high-quality theoretical, empirical, and interdisciplinary contributions from health informatics, accounting, management, computer science, public administration, healthcare economics, and systems engineering.

All submissions will undergo a double-blind peer-review process, following the editorial standards of ICISMED.

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Topics of interest include (but are not limited to):

• Information Systems and Digital Transformation in Healthcare Management

• Artificial Intelligence and Advanced Analytics in Healthcare Unit Management

• Sustainability and Sustainable Performance in Healthcare Organisations

• Cost Management, Process Optimisation and Organisational Performance

• Governance, Implementation and Evaluation of Healthcare Technologies

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Guest Editors:

Rui Silva (rui.silva@utad.pt), Associate Professor with Habilitation, University of Trás-os-Montes and Alto Douro

Data de nascimento: 13/08/1979

ORCID: 0000-0002-0283-9462.

 

Amélia Silva, (acfs@iscap.ipp.pt), Associate Professor with Habilitation, CEOS.PP, Faculty of Business, Technical University Porto

Data de nascimento: 05/01/1972

ORCID: 0000-0002-8366-9863

 

Isabel Macedo, imacedo@eeg.uminho.pt, Assistant Professor, Universidade do Minho

Data de nascimento: 25/02/1964

Orcid: 0000-0001-9265-5917

 

Anabela Martins Silva, anabela@eeg.uminho.pt, Assistant Professor, Universidade do Minho

Data de nascimento: 05/03/1970

Orcid: 0000-0002-0197-9914