Developing, implementing, and evaluating decision support systems for shared decision making in patient care: a conceptual model and case illustration

This paper provides an integrated and comprehensive conceptual framework for knowledge based decision making support systems. Previous research has focused primarily on general decision support systems. The paper extends the previous work by presenting a framework to support specific decisions using knowledge marts that contain decision pertinent knowledge. A proposed methodology to test the effectiveness of this new model is proposed. The model presented provides much more specific knowledge support than previous systems.

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IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v2i1.905 ◽

2018 ◽

Vol 2 (1) ◽

Author(s):

Soraya Rahma Hayati ◽

Mesran Mesran ◽

Taronisokhi Zebua ◽

Heri Nurdiyanto ◽

Khasanah Khasanah

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support System ◽

Decision Support Systems ◽

Support System ◽

Support Systems ◽

Knowledge Based ◽

Computer Based ◽

Support Decision Making ◽

Made In

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR

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PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING DALAM PENETAPAN TENAGA KEPENDIDIKAN BERPRESTASI

JURNAL TEKNOLOGI DAN OPEN SOURCE ◽

10.36378/jtos.v1i2.25 ◽

2018 ◽

Vol 1 (2) ◽

pp. 45-54

Author(s):

Helpi Nopriandi

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support Systems ◽

Support Systems ◽

Multiple Attribute Decision Making ◽

Multiple Attribute ◽

Simple Additive Weighting

Tenaga Kependidikan merupakan anggota masyarakat yang mengabdikan diri dan diangkat untuk menunjang penyelenggaraan pendidikan. Decision Support Systems atau lebih dikenal dengan Sistem Pendukung Keputusan adalah bagian dari sebuah sistem informasi yang berbasis komputer termasuk sistem yang berbasis ilmu pengetahuan dan dipakai untuk mendukung pengambil keputusan dalam suatu organisasi atau perusahaan. untuk memudahkan pimpinan dalam mengambil sebuah keputusan dibuatlah suatu sistem pengambil keputusan dengan menggunakan Fuzzy Multiple Attribute Decision Making (FMADM) digunakan untuk mencari alternatif optimalkan dari sejumlah alternatif dengan kriteria tertentu, sedangkan metode Simple Additive Weighting (SAW). Metode SAW sering juga dikenal istilah metode penjumlahan terbobot. Konsep dasar metode SAW adalah mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif dari semua atribut.

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Current Status and Future Prospects for Shared Decision Making before and after Total Knee Replacement Surgery—A Scoping Review

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18020668 ◽

2021 ◽

Vol 18 (2) ◽

pp. 668

Author(s):

Geert van der Sluis ◽

Jelmer Jager ◽

Ilona Punt ◽

Alexandra Goldbohm ◽

Marjan J. Meinders ◽

...

Keyword(s):

Decision Making ◽

Decision Support ◽

Total Knee Replacement ◽

Shared Decision Making ◽

Knee Replacement ◽

Study Design ◽

Scoping Review ◽

Decision Aids ◽

Shared Decision ◽

Total Knee

Background. To gain insight into the current state-of-the-art of shared decision making (SDM) during decisions related to pre and postoperative care process regarding primary total knee replacement (TKR). Methods. A scoping review was performed to synthesize existing scientific research regarding (1) decisional needs and preferences of patients preparing for, undergoing and recovering from TKR surgery, (2) the relation between TKR decision-support interventions and SDM elements (i.e., team talk, option talk, and decision talk), (3) the extent to which TKR decision-support interventions address patients’ decisional needs and preferences. Results. 2526 articles were identified, of which 17 articles met the inclusion criteria. Of the 17 articles, ten had a qualitative study design and seven had a quantitative study design. All included articles focused on the decision whether to undergo TKR surgery or not. Ten articles (all qualitative) examined patients’ decisional needs and preferences. From these, we identified four domains that affected the patients’ decision to undergo TKR: (1) personal factors, (2) external factors, (3) information sources and (4) preferences towards outcome prediction. Seven studies (5) randomized controlled trials and 2 cohort studies) used quantitative analyses to probe the effect of decision aids on SDM and/or clinical outcomes. In general, existing decision aids did not appear to be tailored to patient needs and preferences, nor were the principles of SDM well-articulated in the design of decision aids. Conclusions. SDM in TKR care is understudied; existing research appears to be narrow in scope with limited relevance to established SDM principles and the decisional needs of patients undertaking TKR surgery.

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A unified perspective on decision making and decision support systems

Information Processing & Management ◽

10.1016/0306-4573(87)90065-3 ◽

1987 ◽

Vol 23 (6) ◽

pp. 616-628 ◽

Cited By ~ 3

Author(s):

M.B Ayati

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support Systems ◽

Support Systems

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Creation of a Community-Driven Decision Support Tool for Caregivers of Children With Developmental Concerns

American Journal of Speech-Language Pathology ◽

10.1044/2021_ajslp-21-00072 ◽

2021 ◽

pp. 1-11

Author(s):

Dawn M. Magnusson ◽

Irena Shwayder ◽

Natalie J. Murphy ◽

Lindsay Ollerenshaw ◽

Michele Ebendick ◽

...

Keyword(s):

Decision Making ◽

Decision Support ◽

Shared Decision Making ◽

Service Use ◽

Decision Support Tool ◽

Cultural Humility ◽

Shared Decision ◽

Plain Language ◽

Support Tool ◽

Key Aspects

Purpose Despite increasing standardization of developmental screening and referral processes, significant early intervention service disparities exist. The aims of this article are to: (a) describe methods used to develop a decision support tool for caregivers of children with developmental concerns, (b) summarize key aspects of the tool, and (c) share preliminary results regarding the tool's acceptability and usability among key stakeholders. Method Content and design of the decision support tool was guided by a systematic process outlined by the International Patient Decision Aid Standards (IPDAS) Collaborative. Three focus group interviews were conducted with caregivers ( n = 7), early childhood professionals ( n = 28), and a mix of caregivers and professionals ( N = 20) to assess caregiver decisional needs. In accordance with the IPDAS, a prototype of the decision support tool was iteratively cocreated by a subset of caregivers ( n = 7) and early child health professionals ( n = 5). Results The decision support tool leverages images and plain language text to guide caregivers and professionals along key steps of the early identification to service use pathway. Participants identified four themes central to shared decision making: trust, cultural humility and respect, strength-based conversations, and information-sharing. End-users found the tool to be acceptable and useful. Conclusions The decision support tool described offers an individualized approach for exploring beliefs about child development and developmental delay, considering service options within the context of the family's values, priorities, and preferences, and outlining next steps. Additional research regarding the tool's effectiveness in optimizing shared decision-making and reducing service use disparities is warranted.

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Industrial Multiple Criteria Decision Making Problems Handled by Means of Fuzzy Inference-Based Decision Support Systems

2013 4th International Conference on Intelligent Systems, Modelling and Simulation ◽

10.1109/isms.2013.11 ◽

2013 ◽

Cited By ~ 1

Author(s):

S. Cateni ◽

M. Vannucci ◽

V. Colla

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support Systems ◽

Fuzzy Inference ◽

Support Systems ◽

Multiple Criteria Decision Making ◽

Multiple Criteria

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The Effect of Perceived Factors of Decision Support Systems on Actual Usage: Behavioral Intention of Using Decision Support Systems as a Mediating Variable: “An Empirical Study of Jordanian Higher Education Institutions”

International Journal of Business and Management ◽

10.5539/ijbm.v12n1p201 ◽

2016 ◽

Vol 12 (1) ◽

pp. 201

Author(s):

Bilal Mohammed Salem Al-Momani

Keyword(s):

Higher Education ◽

Decision Making ◽

Decision Support ◽

Information Systems ◽

Decision Support Systems ◽

Behavioral Intention ◽

Support Systems ◽

Higher Education Institutions ◽

Quality Of Information

Decision support systems (DSS) are interactive computer-based systems that provide information, modeling, and manipulation of data. DSS are clearly knowledge-based information systems to capture, Processing and analysis of information affecting or aims to influence the decision making process, performed by people in scope professional job appointed by a user. Hence, this study describes briefly the key concepts of decision support systems such as perceived factors with a focus on quality of information systems and quality of information variables, behavioral intention of using DSS, and actual DSS use by adopting and extending the technology acceptance model (TAM) of Davis (1989); and Davis, Bagozzi and Warshaw (1989).There are two main goals, which stimulate the study. The first goal is to combine Perceived DSS factors and behavioral intention to use DSS from both the social perspective and a technology perspective with regard to actual DSS usage, and an experimental test of relations provide strategic locations to organizations and providing indicators that should help them manage their DSS effectiveness. Managers face the dilemma in choosing and focusing on most important factors which contributing to the positive behavioral intention of use DSS by the decision makers, which, in turn, could contribute positively in the actual DSS usage by them and other users to effectively solve organizational problems. Hence, this study presents a model which should provide the useful tool for top management in the higher education institutions- in particular-to understand the factors that determine using behaviors for designing proactive interventions and to motivate the acceptance of TAM in order to use the DSS in a way that contributes to the higher education decision-making plan and IT policy.To accomplish or attain the above mentioned objectives, the researcher developed a research instrument (questionnaire) and distributed it amongst the higher education institutions in Jordan to collect data in order to empirically study hypothesis testing (related to the objectives of study). 341 questionnaires were returned from the study respondents. Data were analyzed by utilizing both SPSS (conducted descriptive analysis) and AMOS (conducting structural equation modelling).Findings of the study indicate that some hypotheses were supported while the others were not. Contributions of the study were presented. In addition, the researcher presented some recommendations. Finally, this study has identified opportunities for further study which has progressed greatly advanced understanding constantly of DSS usage, that can help formulate powerful strategies Involving differentiation between DSS perceived factors.

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Refusal to Travel in the National Ambulance Service. A Patient Care Report examination.

Irish Journal of Paramedicine ◽

10.32378/ijp.v3i2.145 ◽

2018 ◽

Vol 3 (2) ◽

Author(s):

Eamonn Byrne ◽

Sasha Selby ◽

Paul Gallen ◽

Alan Watts

Keyword(s):

Decision Making ◽

Patient Care ◽

Shared Decision Making ◽

Vital Signs ◽

Ambulance Service ◽

Guidance Document ◽

Shared Decision ◽

Clinical Guidance ◽

Decision Making Model

IntroductionEvery patient has the right to refuse treatment and, or transport (RTT) to hospital (1). The National Ambulance Service (NAS) has operated under a clinical guidance document that requires an assessment of patient capacity and a baseline amount of data to be gathered on every patient to facilitate the patient making an informed decision (2,3). An increase in the rate of non-conveyance of patients and refusal to travel calls as well as an increasing number of complaints prompted a quality improvement initiative based on improving and facilitating a shared decision-making model.AimFor patients who RTT, to establish a baseline quality of information collected and recorded on a Patient Care Report.MethodsAll NAS incidents closed with a refusal of treatment or transport, from 1st Jan 2017 to 9th November 2017 were identified from National Emergency Operation Centre (NEOC). A random selection of 75 Patient care reports (52 Paper and 23 Electronic) were identified and reviewed. Compliance with the refusal to travel guidance document was measured.Results31% of paper PCR’s reviewed were missing a complete set of vital signs. An average of 48.4 % (Median 48.4% Range 36.5% to 61.5%) were missing a complete second set of vital signs. 17.3% of combined forms were missing the patient’s chief complaint and 38.7% had no practitioner clinical impression entered. 24% had no capacity assessment completed.ConclusionClinical information recorded by NAS staff did not meet the clinical guidance document requirements. It is impossible to assess what information was given to a patient to facilitate a shared decision-making model. The quality of NAS documentation can be improved for patients who refuse to travel.

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