Analytics and Decision Support Systems in Global Health Informatics

Martín-Sánchez, Fernando; Aguiar‐Pulido, Vanessa

doi:10.1016/b978-0-12-804591-6.00010-0

Cited by 4 publications

(2 citation statements)

References 36 publications

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“…DSS are interactive computer-based tools for improving decision-making processes and guiding decision makers in semi-structured or, sometimes, unstructured problem solving [5,6]. DSS integrate techniques from: statistics, clinical information systems, computational modelling, simulation and machine learning, among others [7]. Nevertheless, the capacitation processes for guiding users to make decisions based on DSS results are always complex in dynamic environments [8,9].…”

Section: Introductionmentioning

confidence: 99%

A decision support system for assessing management interventions in a mental health ecosystem: The case of Bizkaia (Basque Country, Spain)

et al. 2019

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Evidence-informed strategic planning is a top priority in Mental Health (MH) due to the burden associated with this group of disorders and its societal costs. However, MH systems are highly complex, and decision support tools should follow a systems thinking approach that incorporates expert knowledge. The aim of this paper is to introduce a new Decision Support System (DSS) to improve knowledge on the health ecosystem, resource allocation and management in regional MH planning. The Efficient Decision Support-Mental Health (EDeS-MH) is a DSS that integrates an operational model to assess the Relative Technical Efficiency (RTE) of small health areas, a Monte-Carlo simulation engine (that carries out the Monte-Carlo simulation technique), a fuzzy inference engine prototype and basic statistics as well as system stability and entropy indicators. The stability indicator assesses the sensitivity of the model results due to data variations (derived from structural changes). The entropy indicator assesses the inner uncertainty of the results. RTE is multidimensional, that is, it was evaluated by using 15 variable combinations called scenarios. Each scenario, designed by experts in MH planning, has its own meaning based on different types of care. Three management interventions on the MH system in Bizkaia were analysed using key performance indicators of the service availability, placement capacity in day care, health care workforce capacity, and resource utilisation data of hospital and community care. The potential impact of these interventions has been assessed at both local and system levels. The system reacts positively to the proposals by a slight increase in its efficiency and stability (and its corresponding decrease in the entropy). However, depending on the analysed scenario, RTE, stability and entropy statistics can have a positive, neutral or negative behaviour. Using this information, decision makers can design new specific interventions/policies. EDeS-MH has been tested and face-validated in a real management situation in the Bizkaia MH system.

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Section: Introductionmentioning

confidence: 99%

A decision support system for assessing management interventions in a mental health ecosystem: The case of Bizkaia (Basque Country, Spain)

et al. 2019

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“…Certification examinations in health professions have long been established as a sound method for determining that an individual meets a minimal level of competency, typically assessed against a set of standards determined by a professional credentialing body [1][2][3]. The launch of several certification programs internationally in the discipline of health informatics and the need to address the lack of formal recognition of local knowledge and skills in this area was the impetus for the establishment of the Certified Health Informatician Australasia (CHIA) examination program [4][5].…”

Section: Introductionmentioning

confidence: 99%

An Exploration of the Certified Health Informatician Australasia (CHIA) Participants

McNeile McCormick,

Bichel-Findlay,

O’Driscoll

et al. 2024

Studies in Health Technology and Informatics

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The Certified Health Informatician Australasian (CHIA) is an assessment of a candidate’s capabilities measured using a core set of health informatics competencies. The aim of this paper is to describe the outcomes of the first eight years since the program’s launch. This paper contributes to the competency framework and certification discourse, and knowledge of the increasing importance and recognition of health informaticians through certification. An analysis of results and possible contributing factors is discussed.

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BlockNCD App: A Rule-Based Decision Support System for Non-Communicable Disease Risk Assessment

Perez

Palaoag

2021

2021 7th International Conference on Computing and Data Engineering

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Analytics and Decision Support Systems in Global Health Informatics

Cited by 4 publications

References 36 publications

A decision support system for assessing management interventions in a mental health ecosystem: The case of Bizkaia (Basque Country, Spain)

A decision support system for assessing management interventions in a mental health ecosystem: The case of Bizkaia (Basque Country, Spain)

An Exploration of the Certified Health Informatician Australasia (CHIA) Participants

BlockNCD App: A Rule-Based Decision Support System for Non-Communicable Disease Risk Assessment

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