Özel hastane acil bakım kliniklerinde elektronik hekim orderlarının etkinliği ve çıktıları

Amaç: Bu çalışmanın amacı acil bakım kliniklerinde elektronik hekim order girişinin etkinliği ve çıktılarını değerlendirmektir.Yöntem: Bu araştırmaya İstanbul’da hizmet veren 24 özel hastanenin acil bakım kliniklerinde çalışan 24 hekim ve 24 hemşire katıldı. Veriler elektronik hekim order girişinin etkinliği ve çıktılarına odaklanmış soruları içeren bir anket formu ile toplandı. Formda yer alan maddeler beşli likert ölçeği ile değerlendirildi.Bulgular: Hekim ve hemşirelerin, Etkinlik boyutuna ilişkin, “ilaç listesine ulaşım”, “ilaç dozları ve reçeteler”, “ilaç etkileşim uyarıları”, ”daha hızlı reçeteleme”, “reçeteleme hatalarının azaltılması”, “diğer sağlık çalışanları ile etkin iletişim kurulabilmesi”, “kolay çalışabilme”, “kolay yönetebilme”, ve “zamandan tasarruf sağlanması” maddelerinden aldıkları puanlar benzerdir (p>0.05). “Reçeteleme için daha iyi yaklaşımdır” ifadesine verilen puan hekimlerde hemşirelere göre daha yüksek olduğu belirlendi (p=0.038). Ayrıca, hekim ve hemşirelerin Çıktı boyutuna ilişkin, “hasta güvenliğini sağlama”, “verinin güvenilirliğini ve okunabilirliğinin artması” maddelerinden aldıkları puanların aynı olduğu görüldü (p>0.05). Sonuç: Elektronik hekim order giriş sistemi acil bakım kliniklerinde hekim ve hemşireler tarafından etkin bir şekilde kullanılmaktadır. Acil bakım kliniklerinde, bu sistemin kullanımı hasta güvenliği ve sağlık hizmeti kalitesini artırmıştır.

The effectiveness and outcomes of computerized provider order entry in emergency care deparment of private hospitals

Objective: The aim of the study was to compare the effectiveness and outcomes of computerized provider order entry (CPOE) between physicians and nurses in emergency care (EC) services.Methods: In this study, 24 physician and 24 nurses working as fulltime in EC services of private hospitals (n=24) were selected in Istanbul, Turkey. Data were collected by a multi-item questionnaire focused on effectiveness and outcomes of CPOE usage. Items were coded by 5-point Likert scale and compared among them.Results: No significant difference was found in score item effectiveness regarding “accessing list of medication”, “dosages and prescriptions” “alerting drug interaction”, “faster prescription” “reducing prescribing error”, “providing effective communication with staffs”, “easy working” and “easy managing”, “allowing decision making” and saving time” between physician and nurses (p>0.05). However, significant difference was seen in score of “being better approach for prescribing” between physician and nurses (p=0.038). Almost similar scores were seen in items of outcomes regarding “achieving patient safety” and “increasing reliability and legibility of data” (p>0.05).Conclusions: Consequently, CPOE system was used effectively by physicians and nurses in EC services. Better prescribing was found to be a key factor for physicians in the system. Effectiveness and outcomes of the system improve clinical tasks, patient safety and quality of care in EC services.

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  • Robertson M, Callen J. The educational needs of health information managers in an electronic environment: what information technology and health informatics skills and knowledge are required? HIM J. 2004; 32(3): 95-101.
  • Turkish Ministry of Health. http://wwwsbgovtr/EN/belge/2-394/ turkey-health-transformation-program-evaluation-report. Health Mo. Ministry of Health Web Site. Turkey [cited 2011 October].
  • Institution S. Republic of Turkey Security Institution Web Site. [cited 2011 November]; Available from: http://www.sgk.gov.tr.
  • Borzekowski R. Measuring the cost impact of hospital information systems: 1987-1994. J Health Econ. 2009; 28(5): 938-949.
  • Berg M. Implementing information systems in health care organizations: myths and challenges. Int J Med Inform. 2001; 64(2-3): 143-156.
  • Ubeyli ED. Medical informatics: a model developed for diabetes education via telemedicine. J Med Syst. 2009; 33(2): 113-119.
  • Grimson W, Berry D, Grimson J, Stephens G, Felton E, Given P, O’Moore R. Federated healthcare record server--the Synapses paradigm. Int J Med Inform.1998; 52(1-3): 3-27.
  • Lenz R, Blaser R, Kuhn KA. Hospital information systems: chances and obstacles on the way to integration. Stud Health Technol Inform. 1999; 68: 25-30.
  • Karahoca A, Bayraktar E, Tatoglu E, Karahoca D. Information system design for a hospital emergency department: a usability analysis of software prototypes. J Biomed Inform. 2010; 43(2): 224-232.
  • Grech V, Pace J. Automation of follow-up and data analysis of paediatric heart disease in Malta. Intern J Cardiol. 1999; 68(2): 145-149.
  • Callen JL, Braithwaite J, Westbrook JI. Contextual implementation model: a framework for assisting clinical information system implementations. J Am Med Inform Assoc. 2008; 15(2): 255-262.
  • Dugas M, Eckholt M, Bunzemeier H. Benchmarking of hospital information systems: monitoring of discharge letters and scheduling can reveal heterogeneities and time trends. BMC Med Inform Decis Mak. 2008; 8: 15.
  • Amarasingham R, Pronovost PJ, Diener-West M, Goeschel C, Dorman T, Thiemann DR, Powe NR. Measuring clinical information technology in the ICU setting: application in a quality improvement collaborative. J Am Med Inform Assoc. 2007; 14(3): 288-294.
  • Singh D, Spiers S, Beasley BW. Characteristics of CPOE systems and obstacles to implementation that physicians believe will affect adoption. South Med J. 2011; 104(6): 418-421.
  • Riedmann D, Jung M, Hackl WO, Stuhlinger W, van der Sijs H, Ammenwerth E. Development of a context model to prioritize drug safety alerts in CPOE systems. BMC Med Inform Decis Mak. 2011; 11:
  • Niazkhani Z, Pirnejad H, van der Sijs H, Aarts J. Evaluating the medication process in the context of CPOE use: the significance of working around the system. Int J Med Inform. 2011; 80(7): 490-506.
  • Khajouei R, Jaspers MW. The impact of CPOE medication systems’ design aspects on usability, workflow and medication orders: a systematic review. Methods Inf Med. 2010; 49(1): 3-19.
  • Spalding SC, Mayer PH, Ginde AA, Lowenstein SR, Yaron M. Impact of computerized physician order entry on ED patient length of stay. Am J Emerg Med. 2011; 29(2): 207-211.
  • Handel DA, Wears RL, Nathanson LA, Pines JM. Using information technology to improve the quality and safety of emergency care. Acad Emerg Med. 2011; 18(6): e45-51.
  • Khajouei R, Wierenga PC, Hasman A, Jaspers MW. Clinicians satisfaction with CPOE ease of use and effect on clinicians’ workflow, efficiency and medication safety. Int J Med Inform. 2011; 80(5): 29730
  • Abul-Kasim K, Karlsson MK, Ohlin A. Increased rod stiffness improves the degree of deformity correction by segmental pedicle screw fixation in adolescent idiopathic scoliosis. Scoliosis. 2011; 6: 13.
  • Turkish Ministry of Health, Statistical yearbook of health care institutions in 2006 Ankara2006 [16.12.2009]; Available from: www. saglik.gov.tr.
  • Rahimi B, Timpka T, Vimarlund V, Uppugunduri S, Svensson M. Organization-wide adoption of computerized provider order entry systems: a study based on diffusion of innovations theory. BMC Med Inform Decis Mak. 2009; 9: 52.
  • Maslove DM, Rizk N, Lowe HJ. Computerized physician order entry in the critical care environment: a review of current literature. J Intensive Care Med. 2011; 26(3): 165-171.
  • Reddy MC, Purao S, Kelly M. Developing IT Infrastructure for Rural Hospitals: A Case Study of Benefits and Challenges of Hospital-toHospital Partnerships. J Am Med Inform Assoc. 2008; 15(4): 554-558.
  • Amarasingham R, Diener-West M, Plantinga L, Cunningham AC, Gaskin DJ, Powe NR. Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States. BMC Med Inform Decis Mak. 2008; 8: 39.
  • Coiera E. Communication systems in healthcare. Clin Biochem Rev. 2006; 27(2): 89-98.
  • Kazemi A, Ellenius J, Tofighi S, Salehi A, Eghbalian F, Fors UG. CPOE in Iran--a viable prospect? Physicians’ opinions on using CPOE in an Iranian teaching hospital. Int J Med Inform. 2009; 78(3): 199-207.
  • Lin CP, Payne TH, Nichol WP, Hoey PJ, Anderson CL, Gennari JH. Evaluating clinical decision support systems: monitoring CPOE order check override rates in the Department of Veterans Affairs’ Computerized Patient Record System. J Am Med Inform Assoc. 2008; 15(5): 620-626.
  • Jamal A, McKenzie K, Clark M. The impact of health information technology on the quality of medical and health care: a systematic review. HIM J. 2009; 38(3): 26-37.
  • Medicine Io. http://wwwiomedu/hitsafety. Khajouei R, Jaspers MW. CPOE system design aspects and their qualitative effect on usability. Stud Health Technol Inform. 2008; 136: 309-3
  • Vartak S, Crandall DK, Brokel JM, Wakefield DS, Ward MM. Transformation of Emergency Department processes of care with EHR, CPOE, and ER event tracking systems. HIM J. 2009; 38(2): 27-32.
  • Hospital use of information technology report. American Hospital Association; 2007 [cited 2011 24.02]; Available from: www.aha.org/ aha/content/2007/pdf/070227-continuedprogress.pdf.
  • Khajouei R, Hasman A, Jaspers MW. Determination of the effectiveness of two methods for usability evaluation using a CPOE medication ordering system. Int J Med Inform. 2011; 80(5): 341-350.
  • Yui BH, Jim WT, Chen M, Hsu JM, Liu CY, Lee TT. Evaluation of Computerized Physician Order Entry System-A Satisfaction Survey in Taiwan. J Med Syst. 2012; 36(6):3817-3824.
  • Wetterneck TB, Walker JM, Blosky MA, Cartmill RS, Hoonakker P, Johnson MA, Norfolk E, Carayon P. Factors contributing to an increase in duplicate medication order errors after CPOE implementation. J Am Med Inform Assoc. 2011; 18(6): 774-782.
  • Allenet B, Bedouch P, Bourget S, Baudrant M, Foroni L, Calop J, Bosson JL. Physicians’ perception of CPOE implementation. Int J Clin Pharm. 2011; 33(4): 656-664.
  • Robinson K, Shepheard J. Predicting the influence of the electronic health record on clinical coding practice in hospitals. HIM J. 2004; 32(3): 102-108.
  • Elberg PB. Electronic patient records and innovation in health care services. Int J Med Inform. 2001; 64(2-3): 201-205.
  • Hubner U, Ammenwerth E, Flemming D, Schaubmayr C, Sellemann B. IT adoption of clinical information systems in Austrian and German hospitals: results of a comparative survey with a focus on nursing. BMC Med Inform Decis Mak. 2010; 10: 8.
  • Tang PC MC. Electronic health record systems. In: Shortliffe EH CJ, editor. Biomedical informatics: Computer applications in health care & biomedicine. New York: Springer; 2006. p. 447-475.
  • Bagayoko CO, Dufour JC, Chaacho S, Bouhaddou O, Fieschi M. Open source challenges for hospital information system (HIS) in developing countries: a pilot project in Mali. BMC Med Inform Decis Mak. 2010; 10: Kralewski JE, Dowd BE, Cole-Adeniyi T, Gans D, Malakar L, Elson B. Factors influencing physician use of clinical electronic information technologies after adoption by their medical group practices. Health Care Manag Rev. 2008; 33(4): 361-367.
  • Ayatollahi H, Bath PA, Goodacre S, Lo SY, Draegebo M, Khan FA. What factors influence emergency department staff attitudes towards using information technology? Emerg Med J. 2012; 30(4):303-307.
  • Asaro PV, Sheldahl AL, Char DM. Embedded guideline information without patient specificity in a commercial emergency department computerized order-entry system. Acad Emerg Med. 2006; 13(4): 4524
  • Hudson JS, Neff JA, Padilla MA, Zhang Q, Mercer LT. Predictors of physician use of inpatient electronic health records. Am J Manag Care. 2012; 18(4): 201-206.
  • Zhivan NA, Diana ML. U.S. hospital efficiency and adoption of health information technology. Health Care Manag Sci. 2011; 15(1):37-47.
  • Kisa A, Kavuncubasi S, Ersoy K. Is the Turkish health care to be a part of the European Union? J Med Syst. 2002; 26(2): 89-95.