Glenn Ford

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Online access to biomedical information from handheld computers will be a valuable adjunct to other popular medical applications if information delivery systems are designed with handheld computers in mind. The goal of this project is to discover design principles to facilitate practitioners' access to online medical information at the point-of-care. A(More)
A commercial OCR system is a key component of a system developed at the National Library of Medicine for the automated extraction of bibliographic fields from biomedical journals. This 5-engine OCR system, while exhibiting high performance overall, does not reliably convert very small characters, especially those that are in italics. As a result, the "(More)
Clinicians increasingly use handheld devices to support evidence-based practice and for clinical decision support. However, support of clinical decisions through information retrieval from MEDLINE(R) and other databases lags behind popular daily activities such as patient information or drug formulary look-up. The objective of the current study is to(More)
The goal of the Medical Article Record System (MARS), being developed by the National Library of Medicine, is to reduce the manual keyboard entry of bibliographic citation fields for the MEDLINE database by automatically identifying and converting information from bit-mapped images of biomedical journal article pages to ASCII data. An important element of(More)
OBJECTIVE To evaluate: (1) the effectiveness of wireless handheld computers for online information retrieval in clinical settings; (2) the role of MEDLINE in answering clinical questions raised at the point of care. DESIGN A prospective single-cohort study: accompanying medical teams on teaching rounds, five internal medicine residents used and evaluated(More)
Answers to clinical questions occurring during healthcare practitioner/patient interaction can be often found in National Library of Medicine's (NLM) databases. The recent advances in wireless handheld computers promise to make them a widely used tool to deliver needed information to the practitioner at the point of service. This paper addresses challenges(More)
This paper discusses the performance of a system for extracting bibliographic fields from scanned pages in biomedical journals to populate MEDLINE®, the flagship database of the National Library of Medicine (NLM), and heavily used worldwide. This system consists of automated processes to extract the article title, author names, affiliations and abstract,(More)
An essential stage in any text extraction system is the manual verification of the printed material converted by OCR. This proves to be the most labor-intensive step in the process. In a system built and deployed at the National Library of Medicine to automatically extract bibliographic data from scanned biomedical journals, alternative means were(More)