Choosing a Model of Maternity Care: Decision Support Needs of Australian Women

Decision support systems (DSSs) are widely used in many organisations (Arslan et al., 2004; Belecheanu et al., 2003; Dey, 2001; Gopalakrishnan et al., 2004; Lau et al., 2001; Puente et al., 2002). However, there is a common tendency to apply experience and techniques gained from large organisations directly to small businesses, without recognising the different decision support needs of the small business. This article aims to address the issues related to the development and the implementation of DSSs in small business firms. Our arguments are based on evidence drawn from a large body of DSS literature and an empirical study conducted by the authors in the UK manufacturing sector.

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OP25 A randomized trial of a ‘goals of care’ decision support intervention (planwell™) in primary care in alberta, canada

10.1136/spcare-2019-acpicongressabs.25 ◽

2019 ◽

Author(s):

D Heyland ◽

R Heyland ◽

M Howard

Keyword(s):

Primary Care ◽

Decision Support ◽

Randomized Trial ◽

Support Intervention ◽

Goals Of Care ◽

Decision Support Intervention ◽

Care Decision

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Artificial Intelligence for Decision Support: Needs, Possibilities, and Limitations in ICU

Anaesthesia, Pain, Intensive Care and Emergency Medicine — A.P.I.C.E. ◽

10.1007/978-88-470-2203-4_85 ◽

1996 ◽

pp. 901-907

Author(s):

S. Miksch

Keyword(s):

Artificial Intelligence ◽

Decision Support ◽

Support Needs

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Development of a digital clinical pathway for emergency medicine: Lessons from usability testing and implementation failure

Health Informatics Journal ◽

10.1177/1460458218779099 ◽

2018 ◽

Vol 25 (4) ◽

pp. 1563-1571 ◽

Cited By ~ 1

Author(s):

Marc Gutenstein ◽

John W Pickering ◽

Martin Than

Keyword(s):

Emergency Medicine ◽

Decision Support ◽

Clinical Pathway ◽

Clinical Pathways ◽

Acute Chest Pain ◽

Usability Testing ◽

Think Aloud Protocol ◽

Implementation Failure ◽

Barriers To Implementation ◽

Care Decision

Clinical pathways are used to support the management of patients in emergency departments. An existing document-based clinical pathway was used as the foundation on which to design and build a digital clinical pathway for acute chest pain, with the aim of improving clinical calculations, clinician decision-making, documentation, and data collection. Established principles of decision support system design were used to build an application within the existing electronic health record, before testing with a multidisciplinary team of doctors using a think-aloud protocol. Technical authoring was successful, however, usability testing revealed that the user experience and the flexibility of workflow within the application were critical barriers to implementation. Emergency medicine and acute care decision support systems face particular challenges to existing models of linear workflow that should be deliberately addressed in digital pathway design. We make key recommendations regarding digital pathway design in emergency medicine.

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Continuous Auditing for Health Care Decision Support Systems

Intelligent Decision Technologies - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-642-22194-1_72 ◽

2011 ◽

pp. 731-741 ◽

Cited By ~ 2

Author(s):

Robert D. Kent ◽

Atif Hasan Zahid ◽

Anne W. Snowdon

Keyword(s):

Health Care ◽

Decision Support ◽

Decision Support Systems ◽

Support Systems ◽

Continuous Auditing ◽

Health Care Decision ◽

Care Decision

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From Decision Making to Decision Support

Oxford Research Encyclopedia of Business and Management ◽

10.1093/acrefore/9780190224851.013.77 ◽

2019 ◽

Author(s):

Frederic Adam ◽

Ciara Heavin

Keyword(s):

Decision Making ◽

Decision Support ◽

Operations Research ◽

Human Cognition ◽

Support Needs ◽

Managerial Decision ◽

Full Diversity ◽

History Of ◽

Research Questions ◽

Considerable Depth

In such a complex and well-researched domain as decision support systems (DSS), with a long history of authors making insightful contributions since the 1960’s, it is critical for researchers, especially those less experienced, to have a broad knowledge of the seminal work that has been carried out by prior generations of researchers. This can serve to avoid proposing research questions which have been considered many times before, without having consideration for the answers which have been put forward by previous scholars, thereby reinventing the wheel or “rediscovering” findings about the life of organizations that have been presented long before. The study of human and managerial decision-making is also characterized by considerable depth and seminal research going back to the beginning of the 20th century, across a variety of fields of research including psychology, social psychology, sociology or indeed operations research. Inasmuch as decision-making and decision support are inextricably linked, it is essential for researchers in DSS to be very familiar with both stream of research in their full diversity so they are able to understand both what activity is being supported and how to analyze requirements for developing decision support artefacts. In addition, whilst the area of decision support has sometimes been characterized by technology-based hype, it is critical to recognize that only a clear focus on the thinking and actions of managers can provide decisive directions for research on their decision support needs. In this article, we consider first the characteristics of human cognition, before concentrating on the decision-making needs of managers and the lessons that can be derived for the development of DSS.

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The Gray Zone: Adolescent and Young Adult Decision Support Needs for Ulcerative Colitis

MDM Policy & Practice ◽

10.1177/2381468320940708 ◽

2020 ◽

Vol 5 (2) ◽

pp. 238146832094070

Author(s):

Andrea Meisman ◽

Nancy M. Daraiseh ◽

Phil Minar ◽

Marlee Saxe ◽

Ellen A. Lipstein

Keyword(s):

Ulcerative Colitis ◽

Decision Making ◽

Decision Support ◽

Focus Groups ◽

Medical Decision Making ◽

Medical Decision ◽

Support Needs ◽

Final Decision ◽

Care Providers ◽

Medical Decisions

Purpose. To understand the medical decision support needs specific to adolescents and young adults (AYAs) with ulcerative colitis (UC) and inform development of a decision support tool addressing AYAs’ preferences. Methods. We conducted focus groups with AYAs with UC and mentors from a pediatric inflammatory bowel disease clinic’s peer mentoring program. Focus groups were led by a single trained facilitator using a semistructured guide aimed at eliciting AYAs’ roles in medical decision making and perceived decision support needs. All focus groups were audio recorded, transcribed, and coded by the research team. Data were analyzed using content analysis and the immersion crystallization method. Results. The facilitator led six focus groups: one group with peer mentors aged 18 to 24 years, three groups with patients aged 14 to 17 years, and two groups with patients aged 18 to 24 years. Decision timing and those involved in decision making were identified as interacting components of treatment decision making. Treatment decisions by AYAs were further based on timing, location (inpatient v. outpatient), and family preference for making decisions during or outside of clinic. AYAs involved parents and health care providers in medical decisions, with older participants describing themselves as “final decision makers.” Knowledge and experience were facilitators identified to participating in medical decision making. Conclusions. AYAs with UC experience changes to their roles in medical decisions over time. The support needs identified will inform the development of strategies, such as decision support tools, to help AYAs with chronic conditions develop and use skills needed for participating in medical decision making.

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