scholarly journals Applying Persuasive Design Techniques to Change Data Entry Behaviour in Primary Care (Preprint)

2017 ◽  
Author(s):  
Justin St-Maurice ◽  
Catherine Burns ◽  
Justin Wolting
Keyword(s):  
Primary Care ◽  
Data Quality ◽  
Systems Analysis ◽  
Data Entry ◽  
Systems Design ◽  
Statistical Process ◽  
Registry System ◽  
Viable Approach ◽  
Entry Behavior ◽  
Persuasive Systems

BACKGROUND Persuasive design (PD) is an approach that seeks to change the behaviours of users by using design and social influence. In primary care, clinician behaviours and attitudes are important precursors to structured data entry, and there is an impact on overall data quality. This research hypothesizes that PD could change data entry behaviours in clinicians and improve data quality. OBJECTIVE Our objective was to use PD principles to change clinician data-entry behaviours in a primary care environment and to increase data quality within a registry system. METHODS We performed a detailed systems analysis of the data-entry task by using cognitive work analysis (CWA). We used the results of this analysis with the Persuasive Systems Design (PSD) framework to describe the persuasion context. We identified several PD principles to be introduced in a new summary screen, which became part of the data entry workflow. As part of our experimental design, we defined three data quality measures (same-day entry, record completeness, and data validity) to measure changes in data quality and entry behaviour. We measured the impacts of the new screen with a paired pre/post t-test and generated XmR charts to contextualize the results. RESULTS 53 users were shown the new screen during their data entry over the course of 10 weeks. Based on a pre-post analysis, the new summary screen successfully encouraged users to enter more of their data on the same day as their encounter. The percentage of same-day entries increased by 10.34% (P < 0.001). During the first month of the new screen, users compensated by sacrificing aspects of data completeness, before returning to normal in the second month. Improvements to record validity were marginal over the study period (P = 0.045). Statistical process control techniques allowed us to study the XmR charts to contextualize our results and understand trends throughout the study period. CONCLUSIONS By conducting a detailed systems analysis and introducing new PD elements into a data entry system, we demonstrated it was possible to change data-entry behavior and influence data quality in a reporting system. The results show that using PD concepts may be effective at influencing data entry behaviours in clinicians. There may be opportunities to continue improving this approach, and further work is required to perfect and test additional designs. Persuasive design is a viable approach to encourage clinician user change and could support better data capture in the field of medical informatics.

scholarly journals Using a data entry clerk to improve data quality in primary care electronic medical records: a pilot study

2011 ◽  
Vol 19 (4) ◽  
pp. 241-250 ◽  
Author(s):  
Michelle Greiver ◽  
Jan Barnsley ◽  
Babak Aliarzadeh ◽  
Paul Krueger ◽  
Rahim Moineddin ◽  
...  
Keyword(s):  
Primary Care ◽  
Pilot Study ◽  
Data Quality ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Data Entry ◽  
Improve Data Quality

scholarly journals Structured yet simple approaches to primary care data quality improvements can indeed strike gold

2021 ◽  
Vol 27 (2) ◽  
pp. 143
Author(s):  
Abhijeet Ghosh ◽  
Elizabeth Halcomb ◽  
Sandra McCarthy ◽  
Christine Ashley
Keyword(s):  
Primary Care ◽  
General Practice ◽  
Quality Improvement ◽  
Data Quality ◽  
Disease Surveillance ◽  
Data Entry ◽  
Structured Interviews ◽  
Improvement Strategy ◽  
Quality Improvement Strategy ◽  
Primary Care Data

General practice data provide important opportunities for both population health and within-practice initiatives to improve health. Despite its promise, a lack of accuracy affects the use of such data. The Sentinel Practices Data Sourcing (SPDS) project is a structured chronic disease surveillance and data quality improvement strategy in general practice. A mixed-methods approach was used to evaluate data quality improvement in 99 participating practices over 12 months. Quantitative data were obtained by measuring performance against 10 defined indicators, whereas 48 semi-structured interviews provided qualitative data. Aggregated scores demonstrated improvements in all indicators, ranging from minor to substantially significant improvements. Participants reported positively on levels of support provided, and acquisition of new knowledge and skills relating to data entry and cleansing. This evaluation provides evidence of the effectiveness of a structured approach to improve the quality of primary care data. Investing in this targeted intervention has the potential to create sustained improvements in data quality, which can drive clinical practice improvement.

Data Quality Associated with Handwritten Laboratory Test Requests: Classification and Frequency of Data-Entry Errors for Outpatient Serology Tests

2015 ◽  
Vol 44 (3) ◽  
pp. 7-12 ◽  
Author(s):  
Elia Vecellio ◽  
Michael W. Maley ◽  
George Toouli ◽  
Andrew Georgiou ◽  
Johanna Westbrook
Keyword(s):  
Laboratory Test ◽  
Data Quality ◽  
Data Entry

A design approach for process-based knowledge management systems

2017 ◽  
Vol 21 (4) ◽  
pp. 693-717 ◽  
Author(s):  
Surendra Sarnikar ◽  
Amit V. Deokar
Keyword(s):  
Knowledge Management ◽  
Feasibility Study ◽  
Systems Analysis ◽  
Design Theory ◽  
Systems Design ◽  
Design Approach ◽  
Content Type ◽  
Analysis And Design ◽  
Systems Analysis And Design ◽  
Design Techniques

Purpose This paper presents a design approach for process-based knowledge management (PKM) systems that can support knowledge-intensive processes where effective task execution is highly reliant on the knowledge and expertise of participants executing the tasks. The proposed design approach includes design methods and kernel theories governing the design of PKM systems and can also be easily integrated with existing systems analysis and design techniques. Design/methodology/approach The design science research methodology is used to design and develop the artifact which includes the overall PKM design approach. Information systems design theory is used as a high-level framework to develop and structure the design approach. Relevant design methods and behavioral theories are reviewed to identify kernel theories that guide the design and development of PKM systems. The design approach consists of meta-requirements for PKM systems and design processes to achieve the meta-requirements. A feasibility study is conducted to evaluate the feasibility of the proposed approach. Findings The design approach presented in this paper can guide system analysts and system developers in the design of knowledge management systems for supporting knowledge-intensive processes. The paper also includes a comprehensive design theory for PKM systems consisting of meta-requirements and a synthesis of various kernel theories into actionable design procedures. The proposed procedures include knowledge requirements modeling, knowledge flows modeling and knowledge and process performance modeling procedures. The feasibility study indicates that the PKM approach can be more useful and effective than solely using unified modeling language (UML)-based systems analysis and design techniques for the design of PKM systems. Research limitations/implications An implication to information systems design research is the feasibility of developing a specialized design approach that incorporates significant domain knowledge to solve complex information system design problems. An implication to practice is the significant potential to improve productivity and effectiveness of systems analysts and designers in developing PKM systems. A limitation is the small sample size of the feasibility study used to evaluate the ease of use and utility of the design approach. Originality/value The study makes a unique contribution by proposing a design approach that integrates business process and knowledge management considerations. The approach is particularly valuable because of the focus on integration with existing systems analysis and design techniques, thus allowing for easier adoption.

scholarly journals State of the art in persuasive systems design

2015 ◽  
Vol Volume 4, Number 1, Special... (Special Issue...) ◽  
Author(s):  
Anthony Foulonneau ◽  
Gaëlle Calvary ◽  
Eric Villain
Keyword(s):  
State Of The Art ◽  
Systems Design ◽  
Grand Challenge ◽  
Nouvelles Technologies ◽  
Societal Challenges ◽  
Persuasive Technologies ◽  
International Audience ◽  
Persuasive Systems Design ◽  
Persuasive Systems ◽  
Systems Studies

International audience By their ability to change person's behaviors and attitudes, persuasive technologies appear as promising for overcoming societal challenges. They are based on theories and models from cognitive psychology and social psychology. The earlier works on persuasive technologies, by Fogg, identified many persuasive principles to influence user's behaviors and attitude, and thus useful for building persuasive systems. Studies on persuasive technologies also bring design methods, architectures, persuasive interfaces, and experimentation in numerous domains. The grand challenge is now to adapt persuasion to the complexity and versatility of each individual, thereby maximizing the persuasive effectiveness. We still have to build plastic persuasive technologies. Les technologies persuasives, par leur capacité à agir sur le comportement et les attitudes des individus, sont une piste prometteuse dans de nombreux domaines, comme pour le traitement des grands défis sociétaux (ex : santé, environnement, …) ou le marketing (ex : inciter l’adoption d’un service, …) qui se présentent à nous. Elles s’appuient sur des résultats obtenus en psychologie cognitive et sociale lors des dernières décennies. Les travaux sur la persuasion technologique, initiés par Fogg à la fin des années 90, ont permis d’identifier de nombreux principes de persuasion sur lesquels les nouvelles technologies peuvent s’appuyer pour influencer le comportement de leurs utilisateurs. Ces travaux ont aussi permis de mettre en œuvre des méthodes de conception, des interfaces persuasives et d’expérimenter la persuasion technologique dans des domaines variés. Le plus grand défi reste maintenant d’adapter la persuasion à la complexité et à la variabilité intra-individuelle et interindividuelle, à la versatilité de chaque individu pour optimiser l’efficacité persuasive. Il nous reste à construire des technologies persuasives plastiques.

Galaxy's Data Quality Program

2011 ◽  
pp. 1-25
Author(s):  
Eric Infield ◽  
Laura Sebastian-Coleman
Keyword(s):  
Health Care ◽  
Data Quality ◽  
Data Warehouse ◽  
Information Quality ◽  
Lessons Learned ◽  
Statistical Process ◽  
Health Care Data ◽  
Quality Program

This paper is a case study of the data quality program implemented for Galaxy, a large health care data warehouse owned by UnitedHealth Group and operated by Ingenix. The paper presents an overview of the program’s goals and components. It focuses on the program’s metrics and includes examples of the practical application of statistical process control (SPC) for measuring and reporting on data quality. These measurements pertain directly to the quality of the data and have implications for the wider question of information quality. The paper provides examples of specific measures, the benefits gained in applying them in a data warehouse setting, and lessons learned in the process of implementing and evolving the program.

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