Data mining in child welfare.

Data mining is the sifting through of voluminous data to extract knowledge for decision making. This article illustrates the context, concepts, processes, techniques, and tools of data mining, using statistical and neural network analyses on a dataset concerning employee turnover. The resulting models and their predictive capability, advantages and disadvantages, and implications for decision support are highlighted.

Use of electronic networking for the enhancement of mental health services.

In the Behavioral Informatics Tomorrow column of our November/December, 1994, issue, we presented an introduction to the basic concepts and techniques of electronic communication via the Internet, as well some resources for behavioral healthcare professionals who already utilize electronic bulletin board services (BBS). Now we offer this more detailed article for those interested in utilizing archies, gophers, browsers and chats to gain access to the rapidly growing body of behavioral healthcare informational resources residing in Cyberspace. The authors present dozens of mental health BBs, conferences and networks--with instructions on how to get there.

A model for integrating technology into a multi-agency community service delivery system.

This article presents the results of a 4-year project to develop and test a model for integrating technology into a multi-agency community human services delivery system. "Technology" in this sense refers to both information technology and assistive technology. The project focused on systems change rather than on the creation of comprehensive assistive technology services. Several strategies of the model were developed and tested by the project. The project developed an information/communication tier that lay on top of the existing service delivery system. The information/communication tier was provided to agencies through an electronic network and searchable database, assistive technology advice-giving software, a public awareness campaign, and professional training. The results of these strategies are used to illustrate the Community Assistive Technology Services Network (CATSN) model. The model consists of five modules: 1) client assessment and technology examination, 2) professional and client training and technical assistance, 3) information and referral and needs analysis, 4) special projects, and 5) central coordination and facilitation--the hub. This model is important given recent nationwide initiatives for using assistive technology to provide people with disabilities opportunities for maximum independence, productivity, and integration.

The data base management system alternative for computing in the human services.

The traditional incremental approach to computerization presents substantial problems as systems develop and grow. The Data Base Management System approach to computerization was developed to overcome the problems resulting from implementing computer applications one at a time. The authors describe the applications approach and the alternative Data Base Management System (DBMS) approach through their developmental history, discuss the technology of DBMS components, and consider the implications of choosing the DBMS alternative. Human service managers need an understanding of the DBMS alternative and its applicability to their agency data processing needs. The basis for a conscious selection of computing alternatives is outlined.

Computers helping caseworkers: decision support systems.

The development of an effective computer-based decision support system depends on a major caseworker effort to provide the information needed for the computer bank.

Computers in the human services.

This article examines trends in both computer technology and human services that are encouraging the increasing convergence of these two fields and discusses more advanced uses of computers in mental health centers and public assistance agencies. The authors also present implications for human service professionals and for education and further reserach on the subject.