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PubMed2003

Advancing the state of data integration in healthcare.

There is growing consensus that clinical information systems will provide the bridge to advancing the integration of information systems in healthcare. In spite of developments in technology that have enabled some organizations to integrate clinical information with care delivery in ways that can promote safer, more efficient patient care, the majority of healthcare has yet to achieve this goal. Why aren't we there yet?

Diffusion of Innovation↗
PubMed1996

Integrating data from natural language processing into a clinical information system.

Demographic data extracted from discharge summaries by natural language processing was compared to data gathered by a conventional hospital admitting system. Discrepancies in data were noted in names, age, sex, race, and ethnicity. Some differences are attributable to errors in collection: interaction with patient, dictation, transcription, and data entry. Very few differences were due to errors in natural language processing. Other differences can be used to critique existing data, or to enhance data with more detailed information. Discrepancies in data as elementary as patient demographics raise the issue of resolving conflicts when neither source of data is known to be more reliable. Clinical repositories can represent conflicting data from multiple sources, but clinical information systems must bear the cost of increased complexity in the application programs that will use the data.

Evaluation Studies as Topic↗