scholarly journals Implications for sustainable healthcare operations in embracing telemedicine services during a pandemic

2022 ◽  
Vol 176 ◽  
pp. 121462
Author(s):  
Ankur Chauhan ◽  
Suresh Kumar Jakhar ◽  
Charbel Jose Chiappetta Jabbour
Keyword(s):  
Healthcare Operations

An interprofessional perspective on healthcare work: physicians and nurses co-constructing identities and spaces of action

2019 ◽  
pp. 1-17
Author(s):  
Erika Lokatt ◽  
Charlotte Holgersson ◽  
Monica Lindgren ◽  
Johann Packendorff ◽  
Louise Hagander
Keyword(s):  
Participant Observation ◽  
Theoretical Perspective ◽  
Knowledge Bases ◽  
Healthcare Sector ◽  
Professional Identities ◽  
Healthcare Operations ◽  
Negotiated Order ◽  
Interprofessional Teamwork ◽  
Everyday Work ◽  
Healthcare Work

Abstract In this article we develop a theoretical perspective of how professional identities in multi-professional organisational settings are co-constructed in daily interactions. The research reported here is located in a healthcare context where overlapping knowledge bases, unclear divisions of responsibilities, and an increased managerialist emphasis on teamwork make interprofessional boundaries in healthcare operations more complex and blurred than ever. We thereby build on a research tradition that recognises the healthcare sector as a negotiated order, specifically studying how professional identities are invoked, constructed, and re-constructed in everyday work interactions. The perspective is employed in an analysis of qualitative data from interviews and participant observation at a large Swedish hospital, in which we find three main processes in the construction of space of action: hierarchical, inclusive, and pseudo-inclusive. In most of the interactions, existing inter-professional divides and power relations are sustained, preventing developments towards integrated interprofessional teamwork.

A High-Fidelity Model to Predict Length of Stay in the Neonatal Intensive Care Unit

2021 ◽  
Author(s):  
Kanix Wang ◽  
Walid Hussain ◽  
John R. Birge ◽  
Michael D. Schreiber ◽  
Daniel Adelman
Keyword(s):  
Length Of Stay ◽  
Clinical Data ◽  
Neonatal Intensive Care ◽  
Large Scale ◽  
Expert Knowledge ◽  
Clinical Analysis ◽  
Healthcare Operations ◽  
Lengths Of Stay ◽  
Health Trajectories ◽  
Widespread Implementation

Having an interpretable, dynamic length-of-stay model can help hospital administrators and clinicians make better decisions and improve the quality of care. The widespread implementation of electronic medical record (EMR) systems has enabled hospitals to collect massive amounts of health data. However, how to integrate this deluge of data into healthcare operations remains unclear. We propose a framework grounded in established clinical knowledge to model patients’ lengths of stay. In particular, we impose expert knowledge when grouping raw clinical data into medically meaningful variables that summarize patients’ health trajectories. We use dynamic, predictive models to output patients’ remaining lengths of stay, future discharges, and census probability distributions based on their health trajectories up to the current stay. Evaluated with large-scale EMR data, the dynamic model significantly improves predictive power over the performance of any model in previous literature and remains medically interpretable. Summary of Contribution: The widespread implementation of electronic health systems has created opportunities and challenges to best utilize mounting clinical data for healthcare operations. In this study, we propose a new approach that integrates clinical analysis in generating variables and implementations of computational methods. This approach allows our model to remain interpretable to the medical professionals while being accurate. We believe our study has broader relevance to researchers and practitioners of healthcare operations.

scholarly journals HCFMUSP: Resilience in Response to the COVID-19 Pandemic

2021 ◽  
Vol 25 (spe) ◽  
Author(s):  
Marcelo Caldeira Pedroso ◽  
João Teixeira Pires ◽  
Ana Maria Malik ◽  
Antonio José Rodrigues Pereira
Keyword(s):  
Knowledge Management ◽  
Health System ◽  
Crisis Management ◽  
System Capacity ◽  
New Disease ◽  
Healthcare Operations ◽  
Teaching Case ◽  
Health System Governance ◽  
Emergency Actions ◽  
The Impact

ABSTRACT The teaching case describes a set of emergency actions taken by HCFMUSP to manage the needs brought by the COVID-19 pandemic in Brazil. The case objective considers the issues related to the impact of the pandemic mostly in healthcare operations, emphasizing how to: (a) adapt health system governance in response to a crisis (crisis management); (b) manage the health system capacity, which traditionally is not so resilient; (c) deal with a new disease (knowledge management). Thus, it should allow gathering elements for the management of future crises.

scholarly journals Flexibility during the COVID-19 Pandemic Response: Healthcare Facility Assessment Tools for Resilient Evaluation

2021 ◽  
Vol 18 (21) ◽  
pp. 11478
Author(s):  
Andrea Brambilla ◽  
Tian-zhi Sun ◽  
Waleed Elshazly ◽  
Ahmed Ghazy ◽  
Paul Barach ◽  
...  
Keyword(s):  
Case Studies ◽  
Assessment Tool ◽  
Healthcare Facility ◽  
Health Impact ◽  
Design Guidelines ◽  
Assessment Tools ◽  
Validity And Reliability ◽  
Evaluation Tool ◽  
Healthcare Operations ◽  
Healthcare Facilities

Healthcare facilities are facing huge challenges due to the outbreak of COVID-19. Around the world, national healthcare contingency plans have struggled to cope with the population health impact of COVID-19, with healthcare facilities and critical care systems buckling under the extraordinary pressures. COVID-19 has starkly highlighted the lack of reliable operational tools for assessing the level sof flexibility of a hospital building to support strategic and agile decision making. The aim of this study was to modify, improve and test an existing assessment tool for evaluating hospital facilities flexibility and resilience. We followed a five-step process for collecting data by (i) doing a literature review about flexibility principles and strategies, (ii) reviewing healthcare design guidelines, (iii) examining international healthcare facilities case studies, (iv) conducting a critical review and optimization of the existing tool, and (v) assessing the usability of the evaluation tool. The new version of the OFAT framework (Optimized Flexibility Assessment Tool) is composed of nine evaluation parameters and subdivided into measurable variables with scores ranging from 0 to 10. The pilot testing of case studies enabled the assessment and verification the OFAT validity and reliability in support of decision makers in addressing flexibility of hospital design and/or operations. Healthcare buildings need to be designed and built based on principles of flexibility to accommodate current healthcare operations, adapting to time-sensitive physical transformations and responding to contemporary and future public health emergencies.

Co-Creation and Healthcare Operations Management

2017 ◽  
pp. 400-414 ◽  
Author(s):  
Paul Lillrank
Keyword(s):  
Health Service ◽  
Operations Management ◽  
Service Research ◽  
Healthcare Operations ◽  
Service Production ◽  
Healthcare Operations Management

Service research has produced a definition that sees services as the integration of customers' and producers' resources to co-create value. Clear articulation of hitherto obscure phenomena enables sharper thinking on how such phenomena could be managed. This article discusses the implications of co-creation in healthcare, a sector of society that is perceived as difficult to manage. Co-creation is here understood as a variable that has different intensity and significance in different areas of healthcare. The Demand – Supply –based operating logic (DSO) is used to segment health service production into areas where co-creation appears in different roles.

Key Considerations for the Adoption and Implementation of Knowledge Management in Healthcare Operations

2010 ◽  
pp. 125-142 ◽  
Author(s):  
Nilmini Wickramasinghe ◽  
Elie Geisler
Keyword(s):  
Knowledge Management ◽  
Healthcare System ◽  
Healthcare Costs ◽  
Cost Effective ◽  
Healthcare Setting ◽  
Healthcare Systems ◽  
Healthcare Operations ◽  
Healthcare Settings ◽  
Adoption And Implementation ◽  
The U.S

The importance of knowledge management (KM) to organizations in today’s competitive environment is being recognized as paramount and significant. This is particularly evident for healthcare both globally and in the U.S. The U.S. healthcare system is facing numerous challenges in trying to deliver cost effective, high quality treatments and is turning to KM techniques and technologies for solutions in an attempt to achieve this goal. While the challenges facing the U.S. healthcare are not dissimilar to those facing healthcare systems in other nations, the U.S. healthcare system leads the field with healthcare costs more than 15% of GDP and rising exponentially. What is becoming of particular interest when trying to find a solution is the adoption and implementation of KM and associated KM technologies in the healthcare setting, an arena that has to date been notoriously slow to adopt technologies and new approaches for the practice management side of healthcare. We examine this issue by studying the barriers encountered in the adoption and implementation of specific KM technologies in healthcare settings. We then develop a model based on empirical data and using this model draw some conclusions and implications for orthopaedics.

Types of Resources and their Discover in HealthGrids

2011 ◽  
pp. 30-45 ◽  
Author(s):  
Aisha Naseer ◽  
Lampros Stergiolas
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Health Information Systems ◽  
Resource Discovery ◽  
Healthcare Operations ◽  
Fully Integrated ◽  
Domain Specific ◽  
Critical Data ◽  
Different Types ◽  
Technical Issues

Adoption of cutting edge technologies in order to facilitate various healthcare operations and tasks is significant. There is a need for health information systems to be fully integrated with each other and provide interoperability across various organizational domains for ubiquitous access and sharing. The emerging technology of HealthGrids holds the promise to successfully integrate health information systems and various healthcare entities onto a common, globally shared and easily accessible platform. This chapter presents a systematic taxonomy of different types of HealthGrid resources, where the specialized resources can be categorised into three major types; namely, Data or Information or Files (DIF); Applications & Peripherals (AP); and Services. Resource discovery in HealthGrids is an emerging challenge comprising many technical issues encapsulating performance, consistency, compatibility, heterogeneity, integrity, aggregation and security of life-critical data. To address these challenges, a systematic search strategy could be devised and adopted, as the discovered resource should be valid, refined and relevant to the query. Standards could be implemented on domain-specific metadata. This chapter proposes potential solutions for the discovery of different types of HealthGrid resources and reflects on discovering and integrating data resources.

Sign in / Sign up

Export Citation Format

Share Document