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A RFID Specific Participatory Design Approach to Support Design and Implementation of Real-Time Location Systems in the Operating Room

  • Systems-Level Quality Improvement
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Abstract

Information technology, such as real-time location (RTL) systems using Radio Frequency IDentification (RFID) may contribute to overcome patient safety issues and high costs in healthcare. The aim of this work is to study if a RFID specific Participatory Design (PD) approach supports the design and the implementation of RTL systems in the Operating Room (OR). A RFID specific PD approach was used to design and implement two RFID based modules. The Device Module monitors the safety status of OR devices and the Patient Module tracks the patients’ locations during their hospital stay. The PD principles ‘multidisciplinary team’, ‘participation users (active involvement)’ and ‘early adopters’ were used to include users from the RFID company, the university and the hospital. The design and implementation process consisted of two ‘structured cycles’ (‘iterations’). The effectiveness of this approach was assessed by the acceptance in terms of level of use, continuity of the project and purchase. The Device Module included eight strategic and twelve tactical actions and the Patient Module included six strategic and twelve tactical actions. Both modules are now used on a daily basis and are purchased by the hospitals for continued use. The RFID specific PD approach was effective in guiding and supporting the design and implementation process of RFID technology in the OR. The multidisciplinary teams and their active participation provided insights in the social and the organizational context of the hospitals making it possible to better fit the technology to the hospitals’ (future) needs.

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References

  1. AHRQ (2013) Making Health Care Safer II: An Updated Critical Analysis of the Evidence for Patient Safety Practices. Rockville, MD

  2. Leape LL (1994) Error in medicine. JAMA : the journal of the American Medical Association 272 (23):1851-1857

    Article  Google Scholar 

  3. Cuschieri A (2006) Nature of human error - Implications for surgical practice. Ann Surg 244 (5):642-648. doi: 10.1097/01.sla.0000243601.36582.18

    Article  Google Scholar 

  4. Baines RJ, Langelaan M, de Bruijne MC, Asscheman H, Spreeuwenberg P, van de Steeg L, Siemerink KM, van Rosse F, Broekens M, Wagner C (2013) Changes in adverse event rates in hospitals over time: a longitudinal retrospective patient record review study. BMJ quality & safety. doi:10.1136/bmjqs-2012-001126

    MATH  Google Scholar 

  5. Wubben I, van Manen JG, van den Akker BJ, Vaartjes SR, van Harten WH (2010) Equipment-related incidents in the operating room: an analysis of occurrence, underlying causes and consequences for the clinical process. Quality & safety in health care 19 (6). doi:10.1136/qshc.2009.037515

  6. Greenberg CC (2009) Learning from adverse events and near misses. Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract 13 (1):3-5. doi:10.1007/s11605-008-0693-6

    Article  Google Scholar 

  7. Verdaasdonk EGG, Stassen LPS, van der Elst M, Karsten TM, Dankelman J (2007) Problems with technical equipment during laparoscopic surgery - An observational study. Surgical Endoscopy and Other Interventional Techniques 21 (2):275-279. doi: 10.1007/s00464-006-0019-2

    Article  Google Scholar 

  8. Landrigan CP, Parry GJ, Bones CB, Hackbarth AD, Goldmann DA, Sharek PJ (2010) Temporal trends in rates of patient harm resulting from medical care. The New England journal of medicine 363 (22):2124-2134. doi:10.1056/NEJMsa1004404

    Article  Google Scholar 

  9. Vincent C, Aylin P, Franklin BD, Holmes A, Iskander S, Jacklin A, Moorthy K (2008) Is health care getting safer? Bmj 337:a2426. doi:10.1136/bmj.a2426

    Article  Google Scholar 

  10. Classen DC, Resar R, Griffin F, Federico F, Frankel T, Kimmel N, Whittington JC, Frankel A, Seger A, James BC (2011) ‘Global trigger tool’ shows that adverse events in hospitals may be ten times greater than previously measured. Health affairs 30 (4):581-589. doi:10.1377/hlthaff.2011.0190

    Article  Google Scholar 

  11. OECD health data 2012 (2012).

  12. NVZ (2012) Gezonde Zorg: Brancherapport Algemene Ziekenhuizen 2012.

  13. Archer T, Macario A (2006) The drive for operating room efficiency will increase quality of patient care. Current opinion in anaesthesiology 19 (2):171-176. doi:10.1097/01.aco.0000192796.02797.82

    Article  Google Scholar 

  14. Sieber TJ, Leibundgut DL (2002) Operating room management and strategies in Switzerland: results of a survey. Eur J Anaesth 19 (6):415-423. doi: 10.1017/S0265021502000662

    Article  Google Scholar 

  15. Denton BT, Miller AJ, Balasubramanian HJ, Huschka TR (2010) Optimal Allocation of Surgery Blocks to Operating Rooms Under Uncertainty. Oper Res 58 (4):802-816. doi: 10.1287/opre.1090.0791

    MathSciNet  Google Scholar 

  16. Fichman RG, Kohli R, Krishnan R (2011) The Role of Information Systems in Healthcare: Current Research and Future Trends. Inform Syst Res 22 (3):419-428. doi: 10.1287/isre.1110.0382

    Article  Google Scholar 

  17. Fisher JA, Monahan T (2012) Evaluation of real-time location systems in their hospital contexts. Int J Med Inform 81 (10):705-712. doi:10.1016/j.ijmedinf.2012.07.001

    Article  Google Scholar 

  18. Kamel Boulos MN, Berry G (2012) Real-time locating systems (RTLS) in healthcare: a condensed primer. International Journal of Health Geographics (11:25)

  19. Sun PR, Wang BH, Wu F (2008) A new method to guard inpatient medication safety by the implementation of RFID. J Med Syst 32 (4):327-332. doi: 10.1007/s10916-008-9137-9

    Article  MathSciNet  Google Scholar 

  20. Kranzfelder M, Schneider A, Fiolka A, Schwan E, Gillen S, Wilhelm D, Schirren R, Reiser S, Jensen B, Feussner H (2013) Real-time instrument detection in minimally invasive surgery using radiofrequency identification technology. The Journal of surgical research 185 (2):704-710. doi:10.1016/j.jss.2013.06.022

    Article  Google Scholar 

  21. Yao W, Chu CH, Li Z (2012) The Adoption and Implementation of RFID Technologies in Healthcare: A Literature Review. J Med Syst 36 (6):3507-3525. doi:10.1007/s10916-011-9789-8

    Article  Google Scholar 

  22. Wamba SF (2012) RFID-Enabled Healthcare Applications, Issues and Benefits: An Archival Analysis (1997-2011). J Med Syst 36 (6):3393-3398. doi: 10.1007/s10916-011-9807-x

    Article  Google Scholar 

  23. Vanavy I, Shaharoun ABM (2008) Barriers and Critical Success Factors towards RFID Technology Adoption in South-East Asia Healthcare Industry. Proceedings of The 9th Asia Pasific Industrial Engineering & Management Systems Conference

  24. Rosenbaum BP (2014) Radio Frequency Identification (RFID) in Health Care: Privacy and Security Concerns Limiting Adoption. J Med Syst 38 (3). doi:Artn 19 Doi 10.1007/S10916-014-0019-Z

  25. Castro L, Lefebvre E, Lefebvre LA (2013) Adding Intelligence to Mobile Asset Management in Hospitals: The True Value of RFID. J Med Syst 37 (5). doi:Artn 9963 Doi 10.1007/S10916-013-9963-2

  26. Fisher JA, Monahan T (2008) Tracking the social dimensions of RFID systems in hospitals. Int J Med Inform 77 (3):176-183. doi:10.1016/j.ijmedinf.2007.04.010

    Article  Google Scholar 

  27. Berg M, Aarts J, van der Lei J (2003) ICT in health care: sociotechnical approaches. Methods of information in medicine 42 (4):297-301. doi:10.1267/METH03040297

    Google Scholar 

  28. van der Togt R, Bakker PJM, Jaspers MWM (2011) A framework for performance and data quality assessment of Radio Frequency IDentification (RFID) systems in health care settings. J Biomed Inform 44 (2):372-383. doi:10.1016/j.jbi.2010.12.004

    Article  Google Scholar 

  29. Wauben LS, Dekker-van Doorn CM, Klein J, Lange JF, Goossens RH (2011) Participatory design: implementation of time out and debriefing in the operating theatre Journal of Design Research 9 (3):220-240. doi: 10.1093/intqhc/mzq079

    Article  Google Scholar 

  30. Pilemalm S, Timpka T (2008) Third generation participatory design in health informatics–making user participation applicable to large-scale information system projects. J Biomed Inform 41 (2):327-339. doi: 10.1016/j.jbi.2007.09.004

    Article  Google Scholar 

  31. Muller MJ, Wildman DM, White EA (1993) Taxonomy Of PD Practices: A Brief Practitioner’s Guide. . Communications of the ACM 36 (4):26-28

    Google Scholar 

  32. Schuler D, Namioka A (1993) Participatory design: principles and practices. Lawrence Erlbaum Associates, Inc, New Jersey

    Google Scholar 

  33. Sjoberg C, Timpka T (1998) Participatory design of information systems in health care. J Am Med Inform Assoc 5 (2):177-183

    Article  Google Scholar 

  34. Weng C, McDonald DW, Sparks D, McCoy J, Gennari JH (2007) Participatory design of a collaborative clinical trial protocol writing system. Int J Med Inform 76 Suppl 1:S245-251. doi: 10.1016/j.ijmedinf.2006.05.035

    Article  Google Scholar 

  35. Namioka AH, Rao C (1996) Introduction to participatory design. In: Field methods casebook for software design. John Wiley & Sons, Inc., New York, pp 283 - 299

  36. Hasvold PE, Scholl J (2011) Flexibility in interaction: sociotechnical design of an operating room scheduler. Int J Med Inform 80 (9):631-645. doi:10.1016/j.ijmedinf.2011.06.007

    Article  Google Scholar 

  37. Clemensen J, Larsen SB, Kyng M, Kirkevold M (2007) Participatory design in health sciences: Using cooperative experimental methods in developing health services and computer technology. Qualitative Health Research 17 (1):122-130. doi: 10.1177/1049732306293664

    Article  Google Scholar 

  38. Vimarlund V, Eriksson H, Timpka T (2001) Economic motives to use a participatory design approach in the development of public-health information systems. Stud Health Technol Inform 84 (Pt 1):768-772

    Google Scholar 

  39. Scariot J, Heemann A, Padovani S (2012) Understanding the collaborative-participatory design. Work: A Journal of Prevention, Assessment and Rehabilitation 41:2701-2705

    Google Scholar 

  40. Greenhalgh T, Robert G, Macfarlane F, Bate P, Kyriakidou O (2004) Diffusion of innovations in service organizations: systematic review and recommendations. The Milbank quarterly 82 (4):581-629. doi:10.1111/j.0887-378X.2004.00325.x

    Article  Google Scholar 

  41. Rittel H (1972) On the Planning Crisis: Systems Analysis of the ‘First and Second Generations’. Bedriftsokonomen (8)

  42. van der Togt R, van Lieshout EJ, Hensbroek R, Beinat E, Binnekade JM, Bakker PJ (2008) Electromagnetic interference from radio frequency identification inducing potentially hazardous incidents in critical care medical equipment. JAMA : the journal of the American Medical Association 299 (24):2884-2890. doi:10.1001/jama.299.24.2884

    Article  Google Scholar 

  43. Davis R, Geiger B, Gutierrez A, Heaser J, Veeramani D (2009) Tracking blood products in blood centres using radio frequency identification: a comprehensive assessment. Vox Sang 97 (1):50-60. doi: 10.1111/j.1423-0410.2009.001174.x

    Article  Google Scholar 

  44. Saito Y, Hasegawa T, Sakamaki T (2007) Efficiency and Safety of New Radiofrequency Identification System in Japanese Hospital. St Heal T 129:1478-1478

    Google Scholar 

  45. Sedlmayr B, Patapovas A, Kirchner M, Sonst A, Muller F, Pfistermeister B, Plank-Kiegele B, Vogler R, Criegee-Rieck M, Prokosch HU, Dormann H, Maas R, Burkle T (2013) Comparative evaluation of different medication safety measures for the emergency department: physicians’ usage and acceptance of training, poster, checklist and computerized decision support. BMC medical informatics and decision making 13:79. doi:10.1186/1472-6947-13-79

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank DoubleSense B.V. for their cooperation for the development for the Device Module, Repoint B.V. for providing the RFID hardware for the Patient Module and J. Sluiman for the design of the graphical user interface of the Patient Module.

Conflict of interest

The authors declare that they have no conflict of interest.

Role of the funding source

This work was supported by the “Provincie Zuid Holland”, Project ID: CRZH101005

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Correspondence to A. C. P. Guédon or L. S. G. L. Wauben.

Additional information

A.C.P. Guédon and L.S.G.L. Wauben contributed equally to this article

This article is part of the Topical Collection on Systems-Level Quality Improvement

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Guédon, A.C.P., Wauben, L.S.G.L., de Korne, D.F. et al. A RFID Specific Participatory Design Approach to Support Design and Implementation of Real-Time Location Systems in the Operating Room. J Med Syst 39, 168 (2015). https://doi.org/10.1007/s10916-014-0168-0

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