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Ford, E
, Nicholson, A, Koeling, R, Tate, AR, Carroll, J, Axelrod, L, Smith, HE, Rait, G, Davies, KA, Petersen, I, Williams, T & Cassell, JA 2013, '
Optimising the use of electronic health records to estimate the incidence of rheumatoid arthritis in primary care: what information is hidden in free text?',
BMC Medical Research Methodology, vol. 13, no. 1, pp. 105.
https://doi.org/10.1186/1471-2288-13-105APA
Ford, E.
, Nicholson, A., Koeling, R., Tate, A. R., Carroll, J., Axelrod, L., Smith, H. E., Rait, G., Davies, K. A., Petersen, I., Williams, T., & Cassell, J. A. (2013).
Optimising the use of electronic health records to estimate the incidence of rheumatoid arthritis in primary care: what information is hidden in free text? BMC Medical Research Methodology,
13(1), 105.
https://doi.org/10.1186/1471-2288-13-105Vancouver
Author
Bibtex
@article{a0b6cbfcdb2c4450b6cbb33f21bb5706,
title = "Optimising the use of electronic health records to estimate the incidence of rheumatoid arthritis in primary care: what information is hidden in free text?",
abstract = "Primary care databases are a major source of data for epidemiological and health services research. However, most studies are based on coded information, ignoring information stored in free text. Using the early presentation of rheumatoid arthritis (RA) as an exemplar, our objective was to estimate the extent of data hidden within free text, using a keyword search.",
keywords = "Electronic health records, Electronic medical records, Rheumatoid arthritis, Free text, Coding",
author = "Elizabeth Ford and Amanda Nicholson and Rob Koeling and Tate, {A Rosemary} and John Carroll and Lesley Axelrod and Smith, {Helen E} and Greta Rait and Davies, {Kevin A} and Irene Petersen and Tim Williams and Cassell, {Jackie A}",
year = "2013",
month = aug,
day = "21",
doi = "10.1186/1471-2288-13-105",
language = "English",
volume = "13",
pages = "105",
journal = "BMC Medical Research Methodology",
publisher = "BioMed Central Ltd.",
number = "1",
}
RIS
TY - JOUR
T1 - Optimising the use of electronic health records to estimate the incidence of rheumatoid arthritis in primary care
T2 - what information is hidden in free text?
AU - Ford, Elizabeth
AU - Nicholson, Amanda
AU - Koeling, Rob
AU - Tate, A Rosemary
AU - Carroll, John
AU - Axelrod, Lesley
AU - Smith, Helen E
AU - Rait, Greta
AU - Davies, Kevin A
AU - Petersen, Irene
AU - Williams, Tim
AU - Cassell, Jackie A
PY - 2013/8/21
Y1 - 2013/8/21
N2 - Primary care databases are a major source of data for epidemiological and health services research. However, most studies are based on coded information, ignoring information stored in free text. Using the early presentation of rheumatoid arthritis (RA) as an exemplar, our objective was to estimate the extent of data hidden within free text, using a keyword search.
AB - Primary care databases are a major source of data for epidemiological and health services research. However, most studies are based on coded information, ignoring information stored in free text. Using the early presentation of rheumatoid arthritis (RA) as an exemplar, our objective was to estimate the extent of data hidden within free text, using a keyword search.
KW - Electronic health records
KW - Electronic medical records
KW - Rheumatoid arthritis
KW - Free text
KW - Coding
U2 - 10.1186/1471-2288-13-105
DO - 10.1186/1471-2288-13-105
M3 - Journal article
C2 - 23964710
VL - 13
SP - 105
JO - BMC Medical Research Methodology
JF - BMC Medical Research Methodology
IS - 1
ER -
