A Systemic, Participative Design of Decision Support Services for Clinical Research

2014 ◽  
Vol 7 (2) ◽  
pp. 20-40 ◽  
Author(s):  
Alexandra Pomares Quimbaya ◽  
Rafael A. González ◽  
Wilson Ricardo Bohórquez ◽  
Oscar Muñoz ◽  
Olga Milena García ◽  
...  
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Best Practices ◽  
Clinical Research ◽  
Systems Engineering ◽  
Support Services ◽  
Design Science ◽  
Service Systems ◽  
Participative Design ◽  
User Centered

Development of IT-based services to support decision-making in healthcare should be guided by the following considerations: rigor, relevance, user-centered participation and inclusion of the best practices for IT-based service systems. In this paper, the balance between rigor and relevance is achieved by following the design science research methodology; user-centered participation is tackled from the socio-technical tradition in information systems; best practices considered in the planning, design and implementation of the services are informed by the MOF framework. Moreover, and considering the premise that these pillars should holistically converge, this research has been approached from a systemic stance where iterative, participative, socio-technical activities have allowed the effective collaboration between information systems researchers, clinical researchers, medical staff and administrative hospital personnel. This paper argues for a move towards enhancing systemic, participative, design-centered service systems engineering by reporting a case which applies these concepts for providing decision-support services, enabled by data and text mining techniques, to contribute to clinical research and administration by being able to search electronic health records where narrative text hides meaningful information that would otherwise require a time-consuming human revision of these records.

A Systemic, Participative Design of Decision Support Services for Clinical Research

2016 ◽  
pp. 371-390
Author(s):  
Alexandra Pomares Quimbaya ◽  
Rafael A. González ◽  
Wilson Ricardo Bohórquez ◽  
Oscar Muñoz ◽  
Olga Milena García ◽  
...  
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Best Practices ◽  
Clinical Research ◽  
Systems Engineering ◽  
Support Services ◽  
Design Science ◽  
Service Systems ◽  
Participative Design ◽  
User Centered

Development of IT-based services to support decision-making in healthcare should be guided by the following considerations: rigor, relevance, user-centered participation and inclusion of the best practices for IT-based service systems. In this paper, the balance between rigor and relevance is achieved by following the design science research methodology; user-centered participation is tackled from the socio-technical tradition in information systems; best practices considered in the planning, design and implementation of the services are informed by the MOF framework. Moreover, and considering the premise that these pillars should holistically converge, this research has been approached from a systemic stance where iterative, participative, socio-technical activities have allowed the effective collaboration between information systems researchers, clinical researchers, medical staff and administrative hospital personnel. This paper argues for a move towards enhancing systemic, participative, design-centered service systems engineering by reporting a case which applies these concepts for providing decision-support services, enabled by data and text mining techniques, to contribute to clinical research and administration by being able to search electronic health records where narrative text hides meaningful information that would otherwise require a time-consuming human revision of these records.

scholarly journals Applying Clinical Decision Support Design Best Practices With the Practical Robust Implementation and Sustainability Model Versus Reliance on Commercially Available Clinical Decision Support Tools: Randomized Controlled Trial

10.2196/24359 ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. e24359
Author(s):  
Katy E Trinkley ◽  
Miranda E Kroehl ◽  
Michael G Kahn ◽  
Larry A Allen ◽  
Tellen D Bennett ◽  
...  
Keyword(s):  
Decision Support ◽  
Best Practices ◽  
Clinical Decision Support ◽  
Controlled Trial ◽  
Clinical Decision ◽  
User Centered Design ◽  
Support Design ◽  
Robust Implementation ◽  
Sustainability Model ◽  
User Centered

Background Limited consideration of clinical decision support (CDS) design best practices, such as a user-centered design, is often cited as a key barrier to CDS adoption and effectiveness. The application of CDS best practices is resource intensive; thus, institutions often rely on commercially available CDS tools that are created to meet the generalized needs of many institutions and are not user centered. Beyond resource availability, insufficient guidance on how to address key aspects of implementation, such as contextual factors, may also limit the application of CDS best practices. An implementation science (IS) framework could provide needed guidance and increase the reproducibility of CDS implementations. Objective This study aims to compare the effectiveness of an enhanced CDS tool informed by CDS best practices and an IS framework with a generic, commercially available CDS tool. Methods We conducted an explanatory sequential mixed methods study. An IS-enhanced and commercial CDS alert were compared in a cluster randomized trial across 28 primary care clinics. Both alerts aimed to improve beta-blocker prescribing for heart failure. The enhanced alert was informed by CDS best practices and the Practical, Robust, Implementation, and Sustainability Model (PRISM) IS framework, whereas the commercial alert followed vendor-supplied specifications. Following PRISM, the enhanced alert was informed by iterative, multilevel stakeholder input and the dynamic interactions of the internal and external environment. Outcomes aligned with PRISM’s evaluation measures, including patient reach, clinician adoption, and changes in prescribing behavior. Clinicians exposed to each alert were interviewed to identify design features that might influence adoption. The interviews were analyzed using a thematic approach. Results Between March 15 and August 23, 2019, the enhanced alert fired for 61 patients (106 alerts, 87 clinicians) and the commercial alert fired for 26 patients (59 alerts, 31 clinicians). The adoption and effectiveness of the enhanced alert were significantly higher than those of the commercial alert (62% vs 29% alerts adopted, P<.001; 14% vs 0% changed prescribing, P=.006). Of the 21 clinicians interviewed, most stated that they preferred the enhanced alert. Conclusions The results of this study suggest that applying CDS best practices with an IS framework to create CDS tools improves implementation success compared with a commercially available tool. Trial Registration ClinicalTrials.gov NCT04028557; http://clinicaltrials.gov/ct2/show/NCT04028557

scholarly journals Research-Based Guidelines for Marketing Information Systems

2021 ◽  
Vol 2 (1) ◽  
pp. 1-16
Author(s):  
Albérico Travassos Rosário
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Literature Review ◽  
Best Practices ◽  
Empirical Studies ◽  
Internet Marketing ◽  
Review Of The Literature ◽  
Marketing Intelligence ◽  
Marketing Information

Marketing information systems (MKIS) are decision support systems focused on specific marketing decisions, providing a more efficient and effective framework for analyzing and identifying changes in the market environment. The literature review reveals that there are gaps in theoretical and empirical studies about which specific steps and best practices should be considered in MKIS implementation efforts. Is it intended to synthesize the knowledge and perceptions generated by existing MKIS studies and identify the generic and particular guidelines that can be derived from the existing body of MKIS research. A review of the literature leads the authors to a thematic synthesis that generates five core guidelines for MKIS: (1) developing, implementing, and measuring the effectiveness of the MKIS; (2) how to align the MKIS with organizational strategy and decision-making; (3) leveraging the MKIS resources in internet marketing; (4) generating and applying marketing intelligence; and, finally, (5) leveraging the benefits of the MKIS in terms of accumulating knowledge and marketing intelligence.

scholarly journals Digital Twin-Enabled Decision Support Services in Industrial Ecosystems

2021 ◽  
Vol 11 (23) ◽  
pp. 11418
Author(s):  
Jürg Meierhofer ◽  
Lukas Schweiger ◽  
Jinzhi Lu ◽  
Simon Züst ◽  
Shaun West ◽  
...  
Keyword(s):  
Decision Support ◽  
Systems Engineering ◽  
Support Services ◽  
Theoretical Concept ◽  
Original Model ◽  
Digital Twin ◽  
Ontology Model ◽  
Digital Twins ◽  
Service Ecosystems ◽  
Semantic Ontology

The goal of this paper is to further elaborate a new concept for value creation by decision support services in industrial service ecosystems using digital twins and to apply it to an extended case study. The aim of the original model was to design and integrate an architecture of digital twins derived from business needs that leveraged the potential of the synergies in the ecosystem. The conceptual framework presented in this paper extends the semantic ontology model for integrating the digital twins. For the original model, technical modeling approaches were developed and integrated into an ecosystem perspective based on a modeling of the ecosystem and the actors’ decision jobs. In a service ecosystem comprising several enterprises and a multitude of actors, decision making is based on the interlinkage of the digital twins of the equipment and the processes, which is achieved by the semantic ontology model further elaborated in this paper. The implementation of the digital twin architecture is shown in the example of a manufacturing SME (small and medium-sized enterprise) case that was introduced in. The mixed semantic modeling and model-based systems engineering for this implementation is discussed in further detail in this paper. The findings of this detailed study provide a theoretical concept for implementing digital twins on the level of service ecosystems and integrating digital twins based on a unified ontology. This provides a practical blueprint to companies for developing digital twin based services in their own operations and beyond in their ecosystem.

scholarly journals Applying Clinical Decision Support Design Best Practices With the Practical Robust Implementation and Sustainability Model Versus Reliance on Commercially Available Clinical Decision Support Tools: Randomized Controlled Trial (Preprint)

2020 ◽  
Author(s):  
Katy E Trinkley ◽  
Miranda E Kroehl ◽  
Michael G Kahn ◽  
Larry A Allen ◽  
Tellen D Bennett ◽  
...  
Keyword(s):  
Decision Support ◽  
Best Practices ◽  
Clinical Decision Support ◽  
Controlled Trial ◽  
Clinical Decision ◽  
User Centered Design ◽  
Support Design ◽  
Robust Implementation ◽  
Sustainability Model ◽  
User Centered

BACKGROUND Limited consideration of clinical decision support (CDS) design best practices, such as a user-centered design, is often cited as a key barrier to CDS adoption and effectiveness. The application of CDS best practices is resource intensive; thus, institutions often rely on commercially available CDS tools that are created to meet the generalized needs of many institutions and are not user centered. Beyond resource availability, insufficient guidance on how to address key aspects of implementation, such as contextual factors, may also limit the application of CDS best practices. An implementation science (IS) framework could provide needed guidance and increase the reproducibility of CDS implementations. OBJECTIVE This study aims to compare the effectiveness of an enhanced CDS tool informed by CDS best practices and an IS framework with a generic, commercially available CDS tool. METHODS We conducted an explanatory sequential mixed methods study. An IS-enhanced and commercial CDS alert were compared in a cluster randomized trial across 28 primary care clinics. Both alerts aimed to improve beta-blocker prescribing for heart failure. The enhanced alert was informed by CDS best practices and the Practical, Robust, Implementation, and Sustainability Model (PRISM) IS framework, whereas the commercial alert followed vendor-supplied specifications. Following PRISM, the enhanced alert was informed by iterative, multilevel stakeholder input and the dynamic interactions of the internal and external environment. Outcomes aligned with PRISM’s evaluation measures, including patient reach, clinician adoption, and changes in prescribing behavior. Clinicians exposed to each alert were interviewed to identify design features that might influence adoption. The interviews were analyzed using a thematic approach. RESULTS Between March 15 and August 23, 2019, the enhanced alert fired for 61 patients (106 alerts, 87 clinicians) and the commercial alert fired for 26 patients (59 alerts, 31 clinicians). The adoption and effectiveness of the enhanced alert were significantly higher than those of the commercial alert (62% vs 29% alerts adopted, <i>P</i>&lt;.001; 14% vs 0% changed prescribing, <i>P</i>=.006). Of the 21 clinicians interviewed, most stated that they preferred the enhanced alert. CONCLUSIONS The results of this study suggest that applying CDS best practices with an IS framework to create CDS tools improves implementation success compared with a commercially available tool. CLINICALTRIAL ClinicalTrials.gov NCT04028557; http://clinicaltrials.gov/ct2/show/NCT04028557

An Integrated Approach for a Knowledge-based Clinical Workstation: Architecture and Experience

1998 ◽  
Vol 37 (01) ◽  
pp. 16-25 ◽  
Author(s):  
P. Ringleb ◽  
T. Steiner ◽  
P. Knaup ◽  
W. Hacke ◽  
R. Haux ◽  
...  
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Patient Care ◽  
Hospital Information Systems ◽  
Medical Decision ◽  
Daily Routine ◽  
Functional Requirements ◽  
Support Functions ◽  
Knowledge Based ◽  
Clinical Workstation

Abstract:Today, the demand for medical decision support to improve the quality of patient care and to reduce costs in health services is generally recognized. Nevertheless, decision support is not yet established in daily routine within hospital information systems which often show a heterogeneous architecture but offer possibilities of interoperability. Currently, the integration of decision support functions into clinical workstations is the most promising way. Therefore, we first discuss aspects of integrating decision support into clinical workstations including clinical needs, integration of database and knowledge base, knowledge sharing and reuse and the role of standardized terminology. In addition, we draw up functional requirements to support the physician dealing with patient care, medical research and administrative tasks. As a consequence, we propose a general architecture of an integrated knowledge-based clinical workstation. Based on an example application we discuss our experiences concerning clinical applicability and relevance. We show that, although our approach promotes the integration of decision support into hospital information systems, the success of decision support depends above all on an adequate transformation of clinical needs.

scholarly journals Quo Vadis Conferences in the Business and Information Systems Engineering (BISE) Community After Covid

2021 ◽  
Author(s):  
Jan Marco Leimeister ◽  
Stefan Stieglitz ◽  
Martin Matzner ◽  
Dennis Kundisch ◽  
Christoph Flath ◽  
...  
Keyword(s):  
Information Systems ◽  
Systems Engineering ◽  
Quo Vadis
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