Detecting inpatient falls by using natural language processing of electronic medical records

BMC Health Services Research

Volumn 12, Issue 1, 2012, Pages

  Toyabe, Shin Ichi ^a  

^a NIIGATA UNIVERSITY   (Japan)

Author keywords

Adverse events; Falls; Incident reports; Natural language processing; Text mining

Indexed keywords

ARTICLE; ELECTRONIC MEDICAL RECORD; FALLING; HOSPITAL PATIENT; HUMAN; INJURY; INJURY SCALE; NATURAL LANGUAGE PROCESSING; SENSITIVITY AND SPECIFICITY; STATISTICS;

ACCIDENTAL FALLS; ELECTRONIC HEALTH RECORDS; HUMANS; INJURY SEVERITY SCORE; INPATIENTS; NATURAL LANGUAGE PROCESSING; SENSITIVITY AND SPECIFICITY; WOUNDS AND INJURIES;

EID: 84870317027     PISSN: None     EISSN: 14726963     Source Type: Journal    
DOI: 10.1186/1472-6963-12-448     Document Type: Article

References (21)

1. Incidence of adverse events and negligence in hospitalized patients. Results of the Harvard Medical Practice Study I. Brennan TA, Leape LL, Laird NM, Hebert L, Localio AR, Lawthers AG, Newhouse JP, Weiler PC, Hiatt HH, N Engl J Med 1991 324 6 370 376 10.1056/NEJM199102073240604 1987460
2. Hurwitz B, Sheih A, Health Care Errors and Patient Safety Oxford: BMJ Books 2009
3. WHO http://wwwwhoint/patientsafety/en/brochure-finalpdf
4. Strategies to prevent falls and fractures in hospitals and care homes and effect of cognitive impairment: systematic review and meta-analyses. Oliver D, Connelly JB, Victor CR, Shaw FE, Whitehead A, Genc Y, Vanoli A, Martin FC, Gosney MA, BMJ 2007 334 7584 82 82 10.1136/bmj.39049.706493.55 17158580
5. The incident reporting system does not detect adverse drug events: a problem for quality improvement. Cullen DJ, Bates DW, Small SD, Cooper JB, Nemeskal AR, Leape LL, Jt Comm J Qual Improv 1995 21 10 541 548 8556111
6. Lag time in an incident reporting system at a university hospital in Japan. Hirose M, Regenbogen SE, Lipsitz S, Imanaka Y, Ishizaki T, Sekimoto M, Oh EH, Gawande AA, Qual Saf Health Care 2007 16 2 101 104 10.1136/qshc.2006.019851 17403754
7. Incidence and risk factors for inpatient falls in an academic acute-care hospital. Nakai A, Akeda M, Kawabata I, J Nihon Med Sch 2006 73 5 265 270 10.1272/jnms.73.265
8. A systematic review and meta-analysis of studies using the STRATIFY tool for prediction of falls in hospital patients: how well does it work? Oliver D, Papaioannou A, Giangregorio L, Thabane L, Reizgys K, Foster G, Age Ageing 2008 37 6 621 627 10.1093/ageing/afn203 18829693
9. World Health Organization fracture risk assessment tool in the assessment of fractures after falls in hospital. Toyabe S, BMC Heal Serv Res 2010 10 1 106 10.1186/1472-6963-10-106
10. Detecting adverse events using information technology. Bates DW, Evans RS, Murff H, Stetson PD, Pizziferri L, Hripcsak G, J Am Med Inform Assoc 2003 10 2 115 128 10.1197/jamia.M1074 12595401
11. Automated detection of harm in healthcare with information technology: a systematic review. Govindan M, Van Citters AD, Nelson EC, Kelly-Cummings J, Suresh G, Qual Saf Health Care 2010 19 5 11 10.1136/qshc.2009.033027 20671081
12. Automated detection of adverse events using natural language processing of discharge summaries. Melton GB, Hripcsak G, J Am Med Inform Assoc 2005 12 4 448 457 10.1197/jamia.M1794 15802475
13. WHO, Conceptual Framework for the International Classification for Patient Safety 2009 http://wwwwhoint/patientsafety/taxonomy/icps-full-reportpdf
14. The costs of fatal and non-fatal falls among older adults. Stevens JA, Corso PS, Finkelstein EA, Miller TR, Inj Prev 2006 12 5 290 295 10.1136/ip.2005.011015 17018668
15. Do falls and falls-injuries in hospital indicate negligent care-and how big is the risk? A retrospective analysis of the NHS Litigation Authority Database of clinical negligence claims, resulting from falls in hospitals in England 1995 to 2006. Oliver D, Killick S, Even T, Willmott M, Qual Saf Health Care 2008 17 6 431 436 10.1136/qshc.2007.024703 19064658
16. Prevention of falls in hospital inpatients: agendas for research and practice. Oliver D, Age Ageing 2004 33 4 328 330 10.1093/ageing/afh145 15226103
17. Characterization of right ventricular diastolic performance after complete repair of tetralogy of Fallot. Restrictive physiology predicts slow postoperative recovery. Cullen S, Shore D, Redington A, Circulation 1995 91 6 1782 1789 10.1161/01.CIR.91.6.1782 7882488
18. Hospital staff should use more than one method to detect adverse events and potential adverse events: incident reporting, pharmacist surveillance and local real-time record review may all have a place. Olsen S, Neale G, Schwab K, Psaila B, Patel T, Chapman EJ, Vincent C, Qual Saf Health Care 2007 16 1 40 44 10.1136/qshc.2005.017616 17301203
19. Improving the capture of fall events in hospitals: combining a service for evaluating inpatient falls with an incident report system. Shorr RI, Mion LC, Chandler AM, Rosenblatt LC, Lynch D, Kessler LA, J Am Geriatr Soc 2008 56 4 701 704 10.1111/j.1532-5415.2007.01605.x 18205761
20. Automatic DPC code selection from electronic medical records: text mining trial of discharge summary. Suzuki T, Yokoi H, Fujita S, Takabayashi K, Methods Inf Med 2008 47 6 541 548 19023491
21. Automated categorisation of clinical incident reports using statistical text classification. Ong MS, Magrabi F, Coiera E, Qual Saf Health Care 2010 19 6 55 10.1136/qshc.2009.036657 20724392