Page 34 - AIH-1-1
P. 34

Artificial Intelligence in Health                                                        NLP in EHR



            Funding                                               about drugs prescribed at primary healthcare facilities.
                                                                  Pharmacoepidemiology Drug Saf, 13: 871–876.
            None.
                                                               9.   WHO, 2018, Global status Report on Road Safety. Geneva:
            Conflict of interest                                  WHO.

            There are no conflicts of interest.                10.  Tashkandy  MA,  Gazzaz  ZJ,  Farooq  MU,  et al.,  2008,
                                                                  Reasons for delay in inpatient admission at an emergency
            Author contributions                                  department. J Ayub Med Coll Abottabad, 20: 38–42.

            This is a single-authored article.                 11.  Bukhari H, Albazli K, Almaslmani S, et al., 2014, Analysis of
                                                                  waiting time in emergency department of Al-Noor specialist
            Ethics approval and consent to participate            hospital, Makkah, Saudi Arabia. J Emerg Med, 2: 67–73.
            Not applicable.                                       https://doi.org/10.24941/ijcr.41372.05.2021
                                                               12.  Baker C, Melby V, 1996, An investigation into the attitudes
            Consent for publication                               and practices of intensive care nurses towards verbal
            Not applicable.                                       communication with unconscious patients.  J  Clin Nurs,
                                                                  5: 185–192.
            Availability of data                                  https://doi.org/10.1111/j.1365-2702.1996.tb00248.x
            Not applicable.                                    13.  Roman LC, Ancker JS, Johnson SB, et al., 2017, Navigation
                                                                  in the electronic health record: A review of the safety and
            References                                            usability literature. J Biomed Inf, 67: 69–79.
            1.   Manohara MM, Pai RG, 2021, Standard electronic  health      https://doi.org/10.1016/j.jbi.2017.01.005
               record (EHR) framework for Indian healthcare system.
               Health Serv Outcomes Res Method, 21: 339–362.   14.  Slawomirski L, Lindner L, De Bienassis K,  et al., 2021,
                                                                  Progress on implementing and using Electronic Health
            2.   Zandeh SO, Yoon-Flannery K, Kuperman GJ,  et al.,   Record Systems: Developments in OECD Countries as of
               2008, Challenges to EHR implementation in electronic   2021. France: OECD.
               versuspaper-based office practices.  J  Gen Intern Med,
               23: 755–761.                                       https://doi.org/10.1787/18152015
                                                               15.  Wulff A, Mast M, Hassler M,  et  al., 2020, Designing an
               https://doi.org/10.1007/s11606-008-0573-5
                                                                  openEHR-based pipeline for extracting and standardizing
            3.   Tully MP, 2012, Prescribing errors in hospital practice. Br J   unstructured clinical data using Natural language
               Clin Pharmacol, 74: 668–675.                       processing. Methods Inf Med, 59: e64–e78.
               https://doi.org/10.1111/j.1365-2125.2012.04313.x  16.  Evans RS, 2016, Electronic Health Records: Then, Now, and
            4.   Franklin BD, Birch S, Savage I, et al., 2009, Methodological   in the Future. Yearb Med Inform, 1: s48–s61.
               variability in detecting prescribing errors and consequences   17.  Zhang J, Walji MF, 2011, TURF: Toward a unified framework
               for the evaluation of interventions.  Pharmacoepidemiol   of EHR usability. J Biomed Inform, 44: 1056–1067.
               Drug Saf, 18: 999.
                                                                  https://doi.org/10.1016/j.jbi.2011.08.005
               https://doi.org/10.1002/pds.1811
                                                               18.  Tranfield D, Denyer D, Smart P, 2003, Towards a methodology
            5.   Franklin BD, Reynolds M, Shebl NA, et al., 2011, Prescribing   for developing evidence-informed management knowledge
               errors in hospital inpatients: A three-centre study of their   by means of systematic review. Br J Manag, 14: 207–222.
               prevalence, types and cause. Postgrad Med J, 87: 739–745.
                                                               19.  Tissot H, Dobson R, 2019, Combining string and phonetic
            6.   Otero P, Leyton A, Mariani G, et al., 2008, Medication errors   similarity matching to identify misspelt names of drugs
               in pediatric inpatients: Prevalence and results of a prevention   in  medical  records  written  in  Portuguese.  J  Biomed
               program. Patient Safety Committee, 122: e737–e743.  Semantics, 10: 17.
               https://doi.org/10.1542/peds.2008-0014          20.  Feller  DJ,  Zucker  J,  Yin  MT,  2018,  Using  clinical  notes
            7.   Ghaleb MA, Barber N, Franklin BD, Wong IC, 2010,   and natural language processing for automated HIV risk
               The incidence and nature of prescribing and medication   assessment. J Acquir Immune Defic Syndr, 77: 160–166.
               administration errors in  paediatric inpatients.  Arch Dis      https://doi.org/10.1016/j.ijmedinf.2017.12.024
               Child, 95: 113–118.
                                                               21.  Workman TE, Shao Y, Divita G, 2019, An efficient prototype
               https://doi.org/10.1136/adc.2009.158485
                                                                  method to identify and correct misspellings in clinical text.
            8.   Akici A, Kalaça S, Uğurlu MU, et al., 2004, Patient knowledge   BMC Res Notes, 12: 42.


            Volume 1 Issue 1 (2024)                         28                        https://doi.org/10.36922/aih.2147
   29   30   31   32   33   34   35   36   37   38   39