Screening for depression in adults.
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Adult↗
Biomedical subjects
Amar K Das
Publications and source records attributed to Amar K Das.
Computers in psychiatry: a review of past programs and an analysis of historical trends.
In a variety of clinical settings, computers are playing an increasing role in managing or retrieving clinical information. A recent survey of physician computer use suggests that psychiatrists, in comparison to other types of medical specialists, may be using computers less in routine care. In this paper, we present a literature review of 57 articles on computer programs in psychiatry that were published since 1966 in five major peer-reviewed journals. We divide the types of programs that have been developed into four categories: (1) diagnostic and decision support, (2) patient screening and therapy, (3) data collection and management, and (4) data modeling. Among the first three categories, we found trends in publications during the past three decades of research. We provide a discussion of representative computer programs. Our analysis of past programs reveals a number of design problems that may be a barrier to the more widespread use of computers in psychiatry.
Computers↗
SYNCHRONUS: a reusable software module for temporal integration.
Querying time-stamped data in clinical databases is an essential step in the actuation of many decision-support rules. Since previous methods of temporal data management are not readily transferable among legacy databases, developers must create de novo querying methods that allow temporal integration of a decision-support program and existing database. In this paper, we outline four software-engineering principles that support a general, reusable approach to temporal integration. We then describe the design and implementation of SYNCHRONUS, a software module that advances our prior work on temporal querying. We show how this module satisfies the four principles for the task of temporal integration. SYNCHRONUS can help developers to overcome the software-engineering burden of temporal model heterogeneity within decision-support architectures.
Algorithms↗