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author:("janoff, W. A.")
1.  Public health informatics: a CDC course for public health program managers. 
Information science and technology are critical to the modern practice of public health. Yet today's public health professionals generally have no formal training in public health informatics--the application of information science and technology to public health practice and research. Responding to this need, the U.S. Centers for Disease Control and Prevention (CDC) recently developed, tested, and delivered a new training course in public health informatics. The course was designed for experienced public health program managers and included sessions on general informatics principles and concepts; key information systems issues and information technologies; and management issues as they relate to information technology projects. This course has been enthusiastically received both at the state and federal levels. We plan to develop an abbreviated version for health officers, administrators, and other public health executives.
PMCID: PMC2232102  PMID: 9929264
2.  IMM/Serve: a rule-based program for childhood immunization. 
A rule-based program, IMM/Serve, is being developed to help guide childhood immunization for initial use, within Oregon. The program is designed primarily for automated use with an online immunization registry, but can also be used interactively by a single user. The paper describes IMM/Serve and discusses 1) the sources of complexity in immunization logic, 2) the potential advantages of a rule-based approach for representing that logic, and 3) the potential advantage of such a program evolving to become the standard of care. Related projects include 1) a computer-based tool to help verify the completeness of the logic, 2) a tool that allows a central part of the logic to be generated automatically, and 3) an approach that allows visualization of the logic graphically.
PMCID: PMC2233221  PMID: 8947653
3.  Computer Techniques for Cell Analysis in Hematology 
This paper describes the current status of automated analysis for the classification of blood cells in hematology, according to digital image processing and pattern recognition techniques. These techniques have developed very rapidly in the last few years, to the point where there are instruments working routinely in clinical laboratories automatically processing blood slides on a daily basis. It is estimated that worldwide at least 30,000 slides per day are being automatically processed by these new methods. As an example of this technology, the LARC (Leukocyte Automatic Recognition Computer) system is discussed. A general review of the basic decision logic and hardware design of this system is presented with additional data relevant to clinical field trial evaluation and on-line operational evaluation. Additionally, current research in the areas of scene analysis for cell recognition, segmented versus band neutrophil classification, and red blood cell analysis, are discussed.
PMCID: PMC2464547

Results 1-3 (3)