Biomedical subjects

Lee Min Lau

Publications and source records attributed to Lee Min Lau.

4 recordsLinked to original sources

PubMed2005

Mapping Department of Defense laboratory results to Logical Observation Identifiers Names and Codes (LOINC).

The Department of Defense (DoD) has used a common application, Composite Health Care System (CHCS), throughout all DoD facilities. However, the master files used to encode patient data in CHCS are not identical across DoD facilities. The encoded data is thus not interoperable from one DoD facility to another. To enable data interoperability in the next-generation system, CHCS II, and for the DoD to exchange laboratory results with external organizations such as the Veterans Administration (VA), the disparate master file codes for laboratory results are mapped to Logical Observation Identifier Names and Codes (LOINC) wherever possible. This paper presents some findings from our experience mapping DoD laboratory results to LOINC.

Forms and Records Control↗

PubMed2005

Applying hybrid algorithms for text matching to automated biomedical vocabulary mapping.

Several biomedical vocabularies are often used by clinical applications due to their different domain(s) of coverage, intended use, etc. Mapping them to a reference terminology is essential for inter-systems interoperability. Manual vocabulary mapping is labor-intensive and allows room for inconsistencies. It requires manual searching for synonyms, abbreviation expansions, variations, etc., placing additional burden on the mappers. Furthermore, local vocabularies may use non-standard words and abbreviations, posing additional problems. However, much of this process can be automated to provide decision-support, allowing mappers to focus on steps that absolutely need their expertise. We developed hybrid algorithms comprising of rules, permutations, sequence alignment and cost algorithms that utilize the UMLS SPECIALIST Lexicon, a custom knowledgebase and a search engine to automatically find probable matches, allowing mappers to select the best match from this list. We discuss the techniques, results from assisting to map a local codeset, and scope for generalizability.

Algorithms↗

PubMed2005

Managing vocabulary mapping services.

The efficient management and maintenance of large-scale and high-quality vocabulary mapping is an operational challenge. The 3M Health Information Systems (HIS) Healthcare Data Dictionary (HDD) group developed an information management system to provide controlled mapping services, resulting in improved efficiency and quality maintenance.

Database Management Systems↗

PubMed2005

The evolution of tools and processes for data mapping.

The 3M Healthcare Data Dictionary (HDD) group provides vocabulary mapping services for the Department of Defense (DoD). The process to manage changes in these mappings, the so-called "delta process," is complex and requires the exchange and management of large amounts of data. To aid in this process, the 3M HDD group has created and refined a vocabulary Mapping Environment (ME).

Databases as Topic↗