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Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1970 3
1972 1
1973 2
1974 1
1975 1
1976 5
1977 3
1978 3
1979 2
1980 1
1982 3
1983 2
1984 3
1985 4
1986 3
1987 3
1988 1
1989 3
1990 5
1991 13
1992 9
1993 11
1994 29
1995 19
1996 20
1997 18
1998 25
1999 14
2000 32
2001 38
2002 39
2003 63
2004 59
2005 76
2006 93
2007 102
2008 106
2009 124
2010 169
2011 198
2012 262
2013 264
2014 288
2015 370
2016 434
2017 448
2018 485
2019 621
2020 789
2021 973
2022 1110
2023 1086
2024 409

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7,683 results

Results by year

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Page 1
De-identification of free text data containing personal health information: a scoping review of reviews.
Negash B, Katz A, Neilson CJ, Moni M, Nesca M, Singer A, Enns JE. Negash B, et al. Int J Popul Data Sci. 2023 Dec 12;8(1):2153. doi: 10.23889/ijpds.v8i1.2153. eCollection 2023. Int J Popul Data Sci. 2023. PMID: 38414537 Free PMC article. Review.
CONCLUSION: Our review identifies and categorises de-identification methods for free text data as rule-based methods, machine learning, deep learning and a combination of these and other approaches. ...Our review also highlights how de-identification systems for …
CONCLUSION: Our review identifies and categorises de-identification methods for free text data as rule-based methods, machine …
Use of unstructured text in prognostic clinical prediction models: a systematic review.
Seinen TM, Fridgeirsson EA, Ioannou S, Jeannetot D, John LH, Kors JA, Markus AF, Pera V, Rekkas A, Williams RD, Yang C, van Mulligen EM, Rijnbeek PR. Seinen TM, et al. J Am Med Inform Assoc. 2022 Jun 14;29(7):1292-1302. doi: 10.1093/jamia/ocac058. J Am Med Inform Assoc. 2022. PMID: 35475536 Free PMC article.
OBJECTIVE: This systematic review aims to assess how information from unstructured text is used to develop and validate clinical prognostic prediction models. ...MATERIALS AND METHODS: We searched Embase, MEDLINE, Web of Science, and Google Scholar to identify studi …
OBJECTIVE: This systematic review aims to assess how information from unstructured text is used to develop and validate clinic …
Free-Text Computerized Provider Order Entry Orders Used as Workaround for Communicating Medication Information.
Kandaswamy S, Grimes J, Hoffman D, Marquard J, Ratwani RM, Hettinger AZ. Kandaswamy S, et al. J Patient Saf. 2022 Aug 1;18(5):430-434. doi: 10.1097/PTS.0000000000000948. Epub 2021 Dec 17. J Patient Saf. 2022. PMID: 35948292 Free PMC article.
RESULTS: Free-text CPOE orders contained in the sample mentioned 193 medication names. ...Twenty-two percent of the free-text CPOE orders related to discontinuing medication(s), whereas 7% of the free-text CPOE orders relate to giving med …
RESULTS: Free-text CPOE orders contained in the sample mentioned 193 medication names. ...Twenty-two percent of the free
Outlier Detection in Health Record Free-Text using Deep Learning.
Wallace D, Kecahdi T. Wallace D, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:550-555. doi: 10.1109/EMBC.2019.8857491. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31945959 Review.
However, much of the data present in Electronic Health Records (EHR) is unlikely to prove suitable for classic machine learning approaches. In particular, the use of free (or unstructured) text for clinical notes presents significant analytical opportunities, but al …
However, much of the data present in Electronic Health Records (EHR) is unlikely to prove suitable for classic machine learning approaches. …
Safety risks and workflow implications associated with nursing-related free-text communication orders.
Staes C, Yusuf S, Hambly M, Phengphoo S, Guo JW. Staes C, et al. J Am Med Inform Assoc. 2023 Apr 19;30(5):828-837. doi: 10.1093/jamia/ocad018. J Am Med Inform Assoc. 2023. PMID: 36805706 Free PMC article. Review.
MATERIALS AND METHODS: A retrospective analysis of free-text EHR-based communication orders sent to or by nurses providing inpatient care at a major academic health system. ...Remediation strategies are needed to reduce safety hazards and workflow impediments. CONCL …
MATERIALS AND METHODS: A retrospective analysis of free-text EHR-based communication orders sent to or by nurses providing inp …
Hospital end-of-life care: families' free-text notes.
Kurkowski S, Radon J, Vogt AR, Weber M, Stiel S, Ostgathe C, Heckel M. Kurkowski S, et al. BMJ Support Palliat Care. 2020 Nov 26:bmjspcare-2020-00239. doi: 10.1136/bmjspcare-2020-00239. Online ahead of print. BMJ Support Palliat Care. 2020. PMID: 33243824
DESIGN: Within the validation study of the questionnaire 'Care of the Dying Evaluation' (CODETM) GER, loved ones were asked to comment (free text) in parallel on each item of the CODE-GER. These free-text notes were analysed with the qualitative conten …
DESIGN: Within the validation study of the questionnaire 'Care of the Dying Evaluation' (CODETM) GER, loved ones were asked to comment (f
Consultation analysis: use of free text versus coded text.
Millares Martin P. Millares Martin P. Health Technol (Berl). 2021;11(2):349-357. doi: 10.1007/s12553-020-00517-3. Epub 2021 Jan 24. Health Technol (Berl). 2021. PMID: 33520588 Free PMC article.
The tool, based on using a word processor and a spread-sheet, allowed quantitative analysis among clinicians while word clouds permitted a qualitative comparison between coded and free text. The average amount of free text per consultation was 68.2 wor …
The tool, based on using a word processor and a spread-sheet, allowed quantitative analysis among clinicians while word clouds permitted a q …
Eye-tracking differences between free text and template radiology reports: a pilot study.
Harris D, Yousem DM, Krupinski EA, Motaghi M. Harris D, et al. J Med Imaging (Bellingham). 2023 Feb;10(Suppl 1):S11902. doi: 10.1117/1.JMI.10.S1.S11902. Epub 2023 Feb 8. J Med Imaging (Bellingham). 2023. PMID: 36761037 Free PMC article.
Participants generated reports for each case utilizing both structured templates and free text dictation. The time spent viewing images was compared with the time spent looking at the dictation screen. RESULTS: The two main hypotheses were confirmed: the total time …
Participants generated reports for each case utilizing both structured templates and free text dictation. The time spent viewi …
Clinician Perceptions on the Use of Free-Text Communication Orders.
Kandaswamy S, Pruitt Z, Kazi S, Marquard J, Owens S, Hoffman DJ, Ratwani RM, Hettinger AZ. Kandaswamy S, et al. Appl Clin Inform. 2021 May;12(3):484-494. doi: 10.1055/s-0041-1731002. Epub 2021 Jun 2. Appl Clin Inform. 2021. PMID: 34077971 Free PMC article.
RESULTS: Participants described eight reasons why clinicians use free-text medication orders, five risks relating to the use of free-text medication orders, and five recommendations for improving EHR medication-related communication. ...DISCUSSION: Cli …
RESULTS: Participants described eight reasons why clinicians use free-text medication orders, five risks relating to the use o …
Lessons From the Free-Text Epidemic: Opportunities to Optimize Deployment of Imaging Clinical Decision Support.
Fried JG, Pakpoor J, Kahn CE Jr, Zafar HM. Fried JG, et al. J Am Coll Radiol. 2021 Mar;18(3 Pt B):467-474. doi: 10.1016/j.jacr.2021.01.002. J Am Coll Radiol. 2021. PMID: 33663756 Free PMC article.
We determined the proportion of free-text indications among all advanced imaging orders and the proportion of free-text indications that could be mapped to a single structured indication. ...Manual review of all 1,693 CT abdomen/pelvis and 1,527 CT hea …
We determined the proportion of free-text indications among all advanced imaging orders and the proportion of free-t
7,683 results