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David M. Dilts

dblp:52/6438 · DBLP profile ↗
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5ranked-venue papers
1as first author
0since 2021 · last 2010
0000-0003-2004-7722ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1Databases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computational fabrication · 100%
Databases, data mining, and information retrieval
1 paper
Data integration and cleaning · 100%
Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication
design for manufacturing
0.011996
Automated design-to-cost: integrating costing into the design decision · Comput. Aided Des. 1996
Data integration and cleaning
heterogeneous data integration
0.011991
Using Knowledge-Based Technology to Integrate CIM Databases · IEEE Trans. Knowl. Data Eng. 1991
Knowledge, reasoning and agents › Knowledge representation and reasoning
knowledge-based systems
0.011991
Using Knowledge-Based Technology to Integrate CIM Databases · IEEE Trans. Knowl. Data Eng. 1991
Computational science and engineering › manufacturing automation › manufacturing
computer-integrated manufacturing
0.011991
Using Knowledge-Based Technology to Integrate CIM Databases · IEEE Trans. Knowl. Data Eng. 1991

Methods — techniques the papers use, named apart from their topics

knowledge-based integration · 0.0cost modeling · 0.0
YearPublicationVenuePosition
2010 Research paper: Openness of patients' reporting with use of electronic records: psychiatric clinicians' views
abstract
OBJECTIVES: Improvements in electronic health record (EHR) system development will require an understanding of psychiatric clinicians' views on EHR system acceptability, including effects on psychotherapy communications, data-recording behaviors, data accessibility versus security and privacy, data quality and clarity, communications with medical colleagues, and stigma. DESIGN: Multidisciplinary development of a survey instrument targeting psychiatric clinicians who recently switched to EHR system use, focus group testing, data analysis, and data reliability testing. MEASUREMENTS: Survey of 120 university-based, outpatient mental health clinicians, with 56 (47%) responding, conducted 18 months after transition from a paper to an EHR system. RESULTS: Factor analysis gave nine item groupings that overlapped strongly with five a priori domains. Respondents both praised and criticized the EHR system. A strong majority (81%) felt that open therapeutic communications were preserved. Regarding data quality, content, and privacy, clinicians (63%) were less willing to record highly confidential information and disagreed (83%) with including their own psychiatric records among routinely accessed EHR systems. LIMITATIONS: single time point; single academic medical center clinic setting; modest sample size; lack of prior instrument validation; survey conducted in 2005. CONCLUSIONS: In an academic medical center clinic, the presence of electronic records was not seen as a dramatic impediment to therapeutic communications. Concerns regarding privacy and data security were significant, and may contribute to reluctances to adopt electronic records in other settings. Further study of clinicians' views and use patterns may be helpful in guiding development and deployment of electronic records systems.
Ronald M. Salomon, Jennifer Urbano Blackford, S. Trent Rosenbloom, Sandra Seidel, Ellen Wright Clayton, David M. Dilts, Stuart G. Finder
J. Am. Medical Informatics Assoc.6
1996 Automated design-to-cost: integrating costing into the design decision
Theodore S. Geiger, David M. Dilts
Comput. Aided Des.2
1994 Design for dynamic user-role-based security
Imtiaz Mohammed, David M. Dilts
Comput. Secur.2
1992 Integrating diverse CIM databases: the role of natural language interface
abstract
The problems of heterogeneous, distinct computer integrated manufacturing (CIM) databases and alternative methods to approach these problems are discussed. The literature in three related areas-natural language (NL) interface for database access, database integration, and CIM data requirements-is reviewed. The architecture of the total system is presented. The detailed design of the NL user interface, which is composed of the DCG (definite clause grammar) parser, the semantic interpreter and the query generator, is described. An experimental prototype of the NL user interface and a demonstration of how the system handles a global NL query are presented. Future issues in the integration of CIM databases are discussed.>
David M. Dilts
IEEE Trans. Syst. Man Cybern.2
1991 Using Knowledge-Based Technology to Integrate CIM Databases
abstract
The authors propose a framework for using knowledge-based systems to integrate the heterogeneous multidatabases of computer integrated manufacturing (CIM). For each database, a corresponding knowledge-based system is designed for directing knowledge-processing of shared information. This one-to-one method reduces the complexity of the problem. Specifically, the structure, features, and knowledge representation for a knowledge-based system are presented. Then, a prototype of an interface between manufacturing planning and computer-aided design is described. Due to the potential for rapid changes in the manufacturing environment, the linkages among CIM databases are designed to be dynamic, flexible, and adaptive to a wide variety of situations.>
David M. Dilts
IEEE Trans. Knowl. Data Eng.1