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1

Jones, Sharon, and Jacqueline Moss. "Computerized Provider Order Entry." JONA: The Journal of Nursing Administration 36, no. 3 (2006): 136–39. http://dx.doi.org/10.1097/00005110-200603000-00007.

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2

Bratton, S. L. "Computerized Provider Order Entry Redux." AAP Grand Rounds 16, no. 4 (2006): 42. http://dx.doi.org/10.1542/gr.16-4-42.

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3

McCartney, Patricia. "Computerized Provider Order Entry (CPOE)." MCN, The American Journal of Maternal/Child Nursing 39, no. 1 (2014): 63. http://dx.doi.org/10.1097/01.nmc.0000437328.78139.d3.

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4

McCartney, Patricia R. "Computerized Provider Order Entry is Coming!" MCN, The American Journal of Maternal/Child Nursing 34, no. 6 (2009): 388. http://dx.doi.org/10.1097/01.nmc.0000363690.06854.9c.

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5

Rescorl, Donna J. "Emergency department: Computerized provider order entry." Nurse Leader 4, no. 2 (2006): 34–38. http://dx.doi.org/10.1016/j.mnl.2006.01.006.

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6

Oh, Shelly, Julie Sinclair-Pingel, Carly Feldott, and Fred Hargrove. "Computerized Provider Order Entry - Ordering of Continuous Renal Replacement Therapy in a Computerized Provider Order Entry System." Hospital Pharmacy 42, no. 3 (2007): 255–57. http://dx.doi.org/10.1310/hpj4203-255.

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7

Lehmann, Christoph U., and George R. Kim. "Computerized Provider Order Entry and Patient Safety." Pediatric Clinics of North America 53, no. 6 (2006): 1169–84. http://dx.doi.org/10.1016/j.pcl.2006.09.006.

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8

Abramson, Erika L., and Rainu Kaushal. "Computerized Provider Order Entry and Patient Safety." Pediatric Clinics of North America 59, no. 6 (2012): 1247–55. http://dx.doi.org/10.1016/j.pcl.2012.08.001.

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9

Staton, Rhonda, Alex Bautista, Jill Harwell, Lacey Jensen, Amy Minister, and Shannon Roller. "Computerized Provider Order Entry Awareness for Nursing." CIN: Computers, Informatics, Nursing 31, no. 9 (2013): 401–5. http://dx.doi.org/10.1097/cin.0000000000000005.

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10

Elshayib, Manal, and Lawrence Pawola. "Computerized provider order entry–related medication errors among hospitalized patients: An integrative review." Health Informatics Journal 26, no. 4 (2020): 2834–59. http://dx.doi.org/10.1177/1460458220941750.

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The Institute of Medicine estimates that 7,000 lives are lost yearly as a result of medication errors. Computerized physician and/or provider order entry was one of the proposed solutions to overcome this tragic issue. Despite some promising data about its effectiveness, it has been found that computerized provider order entry may facilitate medication errors. The purpose of this review is to summarize current evidence of computerized provider order entry -related medication errors and address the sociotechnical factors impacting the safe use of computerized provider order entry. By using PubM
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11

Dighe, AnandS, and JasonM Baron. "Computerized provider order entry in the clinical laboratory." Journal of Pathology Informatics 2, no. 1 (2011): 35. http://dx.doi.org/10.4103/2153-3539.83740.

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12

Hayavi-haghighi, Mohammad Hosein, Jahanpour Alipour, and Mohammad Dehghani. "Nursing errors and Computerized Provider Order Entry (CPOE)." Informatics in Medicine Unlocked 25 (2021): 100648. http://dx.doi.org/10.1016/j.imu.2021.100648.

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13

Johnson, Kevin. "Computerized provider-order entry: challenges, achievements, and opportunities." Journal of the American Medical Informatics Association 18, no. 6 (2011): 730–31. http://dx.doi.org/10.1136/amiajnl-2011-000579.

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14

Swanson Kazley, Abby, and Mark L. Diana. "Hospital computerized provider order entry adoption and quality." Health Care Management Review 36, no. 1 (2011): 86–94. http://dx.doi.org/10.1097/hmr.0b013e3181c8b1e5.

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15

Khammarnia, Mohammad, Roxana Sharifian, Farid Zand, Ali Keshtkaran, and Omid Barati. "Designing Computerized Provider Order Entry Software in Iran." CIN: Computers, Informatics, Nursing 34, no. 9 (2016): 413–20. http://dx.doi.org/10.1097/cin.0000000000000250.

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16

Lykowski, Gayle, and Daniela Mahoney. "Computerized provider order entry improves workflow and outcomes." Nursing Management (Springhouse) 35 (February 2004): 40G—40H. http://dx.doi.org/10.1097/00006247-200402001-00003.

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17

Kaplan, Jennifer M., Rose Ancheta, and Brian R. Jacobs. "Inpatient verbal orders and the impact of computerized provider order entry." Journal of Pediatrics 149, no. 4 (2006): 461–67. http://dx.doi.org/10.1016/j.jpeds.2006.05.038.

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18

Green, Thomas P. "Inpatient verbal orders and the impact of computerized provider order entry." Journal of Pediatrics 149, no. 4 (2006): A2. http://dx.doi.org/10.1016/j.jpeds.2006.08.056.

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19

Green, Robert A., George Hripcsak, Hojjat Salmasian, et al. "Intercepting Wrong-Patient Orders in a Computerized Provider Order Entry System." Annals of Emergency Medicine 65, no. 6 (2015): 679–86. http://dx.doi.org/10.1016/j.annemergmed.2014.11.017.

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20

Classen, D. C., A. J. Avery, and D. W. Bates. "Evaluation and Certification of Computerized Provider Order Entry Systems." Journal of the American Medical Informatics Association 14, no. 1 (2007): 48–55. http://dx.doi.org/10.1197/jamia.m2248.

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21

Hatfield, Mark D., Rodney Cox, Shivani K. Mhatre, W. Perry Flowers, and Sujit S. Sansgiry. "Impact of Computerized Provider Order Entry on Pharmacist Productivity." Hospital Pharmacy 49, no. 5 (2014): 458–65. http://dx.doi.org/10.1310/hpj4905-458.

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22

Campbell, Emily M., Kenneth P. Guappone, Dean F. Sittig, Richard H. Dykstra, and Joan S. Ash. "Computerized Provider Order Entry Adoption: Implications for Clinical Workflow." Journal of General Internal Medicine 24, no. 1 (2008): 21–26. http://dx.doi.org/10.1007/s11606-008-0857-9.

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23

Scariati, Paula, Herschel Knapp, and Stuart Gray. "A Comparison of One- and Four-Open-Chart Access: No Change in Computerized Provider Order Entry Error Rates." Applied Clinical Informatics 10, no. 05 (2019): 804–9. http://dx.doi.org/10.1055/s-0039-1697599.

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Abstract Objective To assess changes in computerized provider order entry error rates among providers who with less than 24-hour notice were switched from four-chart access to one-chart-only access. Methods An interrupted time series analysis of emergency medicine providers, hospitalists, and maternal child health providers was performed with pairwise comparison of computerized provider order entry error rates within and between specialties. This retrospective snapshot consisted of four phases. Phase 1 was the baseline 2 weeks where providers were privileged to work with up to four charts open
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24

Chen, Allen R., and Christoph U. Lehmann. "Computerized Provider Order Entry in Pediatric Oncology: Design, Implementation, and Outcomes." Journal of Oncology Practice 7, no. 4 (2011): 218–22. http://dx.doi.org/10.1200/jop.2011.000344.

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25

Kasaei, Mahtab, Fahimeh Sadeghi, Sakineh Saghaeiannejad, Vahideh Shirzad, Nahid Tavakoli, and Ashgar Ehteshami. "Computerized provider order entry system: Solution to improve patient safety." International Journal of Health System and Disaster Management 1, no. 3 (2013): 180. http://dx.doi.org/10.4103/2347-9019.129182.

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26

Campbell, E. M., D. F. Sittig, J. S. Ash, K. P. Guappone, and R. H. Dykstra. "Types of Unintended Consequences Related to Computerized Provider Order Entry." Journal of the American Medical Informatics Association 13, no. 5 (2006): 547–56. http://dx.doi.org/10.1197/jamia.m2042.

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27

Harrington, Linda, Van L. Hardison, Jean Coates, Vickie Wickham, Brian Norris, and Mary Kane. "Computerized Provider Order Entry (CPOE): Important Nontechnical Issues and Considerations." Nurse Leader 12, no. 3 (2014): 54–57. http://dx.doi.org/10.1016/j.mnl.2014.03.002.

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28

Ash, Joan S., Dean F. Sittig, Richard H. Dykstra, Kenneth Guappone, James D. Carpenter, and Veena Seshadri. "Categorizing the unintended sociotechnical consequences of computerized provider order entry." International Journal of Medical Informatics 76 (June 2007): S21—S27. http://dx.doi.org/10.1016/j.ijmedinf.2006.05.017.

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29

Kaemingk, D., D. Frieze, P. Hendrie, T. H. Payne, and D. B. Martin. "Safe Implementation of Computerized Provider Order Entry for Adult Oncology." Applied Clinical Informatics 06, no. 04 (2015): 638–49. http://dx.doi.org/10.4338/aci-2015-03-ra-0027.

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Summary Background: Oncology has lagged in CPOE adoption due to the narrow therapeutic index of chemotherapy drugs, individualized dosing based on weight and height, regimen complexity, and workflows that include hard stops where safety checks are performed and documented. Objectives: We sought to establish CPOE for chemotherapy ordering and administration in an academic teaching institution using a commercially available CPOE system. Methods: A commercially available CPOE system was implemented throughout the hospital. A multidisciplinary team identified key safety gaps that required the deve
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30

ROGGOW, DARLA J., CAROL J. SOLIE, MARY FRAN TRACY, and NIKI GJERE. "Clinical Nurse Specialist Leadership in Computerized Provider Order Entry Design." Clinical Nurse Specialist 19, no. 4 (2005): 209–14. http://dx.doi.org/10.1097/00002800-200507000-00013.

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31

Ghaemmaghami, Valeh. "Computerized Provider Order Entry: Advancing Technology Today, Saving Lives Tomorrow." AORN Journal 100, no. 6 (2014): 683–85. http://dx.doi.org/10.1016/j.aorn.2014.09.005.

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32

Coplen, D. E. "Types of Unintended Consequences Related to Computerized Provider Order Entry." Yearbook of Urology 2007 (January 2007): 3–5. http://dx.doi.org/10.1016/s0084-4071(08)70004-6.

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33

Forrer, C., S. Shaha, and S. Magid. "Duplicate Orders: An Unintended Consequence of Computerized provider/physician order entry (CPOE) Implementation." Applied Clinical Informatics 03, no. 04 (2012): 377–91. http://dx.doi.org/10.4338/aci-2012-01-ra-0002.

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SummaryObjective: Computerized provider/physician order entry (CPOE) with clinical decision support (CDS) is designed to improve patient safety. However, a number of unintended consequences which include duplicate ordering have been reported. The objective of this time-series study was to characterize duplicate orders and devise strategies to minimize them.Methods: Time series design with systematic weekly sampling for 84 weeks. Each week we queried the CPOE database, downloaded all active orders onto a spreadsheet, and highlighted duplicate orders. We noted the following details for each dupl
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34

Patel, Vijay M., Anna W. Rains, and Christopher T. Clark. "Effectiveness of Provider Education Followed by Computerized Provider Order Entry Alerts in Reducing Inappropriate Red Blood Cell Transfusion." Journal of Blood Transfusion 2016 (December 5, 2016): 1–6. http://dx.doi.org/10.1155/2016/2859720.

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To reduce the rate of inappropriate red blood cell transfusion, a provider education program, followed by alerts in the computerized provider order entry system (CPOE), was established to encourage AABB transfusion guidelines. Metrics were established for nonemergent inpatient transfusions. Service lines with high order volume were targeted with formal education regarding AABB 2012 transfusion guidelines. Transfusion orders were reviewed in real time with email communications sent to ordering providers falling outside of AABB recommendations. After 12 months of provider education, alerts were
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35

Pageler, Natalie M., Deborah Franzon, Christopher A. Longhurst, et al. "Embedding Time-Limited Laboratory Orders Within Computerized Provider Order Entry Reduces Laboratory Utilization*." Pediatric Critical Care Medicine 14, no. 4 (2013): 413–19. http://dx.doi.org/10.1097/pcc.0b013e318272010c.

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36

BROKEL, JANE M., MARCIA M. WARD, DOUGLAS S. WAKEFIELD, ALLISON LUDWIG, TAMARA SCHWICHTENBERG, and DENISE ATHERTON. "Changing Patient Care Orders From Paper to Computerized Provider Order Entry–Based Process." CIN: Computers, Informatics, Nursing 30, no. 8 (2012): 417–25. http://dx.doi.org/10.1097/nxn.0b013e318251076e.

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37

Cho, Jungwon, Sangmi Shin, Youngmi Jeong, et al. "Healthcare Quality Improvement Analytics: An Example Using Computerized Provider Order Entry." Healthcare 9, no. 9 (2021): 1187. http://dx.doi.org/10.3390/healthcare9091187.

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Evaluation of sustainability after quality improvement (QI) projects in healthcare settings is an essential part of monitoring and future QI planning. With limitations in adopting quasi-experimental study design in real-world practice, healthcare professionals find it challenging to present the sustained effect of QI changes effectively. To provide quantitative methodological approaches for demonstrating the sustainability of QI projects for healthcare professionals, we conducted data analyses based on a QI project to improve the computerized provider order entry system to reduce patients’ dos
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38

Asaro, Phillip V., and Stuart B. Boxerman. "Effects of Computerized Provider Order Entry and Nursing Documentation on Workflow." Academic Emergency Medicine 15, no. 10 (2008): 908–15. http://dx.doi.org/10.1111/j.1553-2712.2008.00235.x.

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39

Guédon, Amaury, Angélique Rome, Jean-laurent Deville, et al. "Computerized Provider Order Entry Using Two Prescription-Writing Software in Oncology." American Journal of Medical Quality 32, no. 2 (2016): 220. http://dx.doi.org/10.1177/1062860616666164.

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40

Gray, Andrew, Christopher M. B. Fernandes, Kristine Van Aarsen, and Melanie Columbus. "The impact of computerized provider order entry on emergency department flow." CJEM 18, no. 4 (2016): 264–69. http://dx.doi.org/10.1017/cem.2016.11.

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AbstractObjectivesComputerized provider order entry (CPOE) has been established as a method to improve patient safety by avoiding medication errors; however, its effect on emergency department (ED) flow remains undefined. We examined the impact of CPOE implementation on three measures of ED throughput: wait time (WT), length of stay (LOS), and the proportion of patients that left without being seen (LWBS).MethodsWe conducted a retrospective cohort study of all ED patients of 18 years and older presenting to London Health Sciences Centre during July and August 2013 and 2014, before and after im
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41

Barron, William M., R. Lawrence Reed, Sean Forsythe, et al. "Implementing Computerized Provider Order Entry with an Existing Clinical Information System." Joint Commission Journal on Quality and Patient Safety 32, no. 9 (2006): 506–16. http://dx.doi.org/10.1016/s1553-7250(06)32066-1.

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42

Bucher, Brian T., Jeffrey P. Ferraro, Samuel R. G. Finlayson, Wendy W. Chapman, and Adi V. Gundlapalli. "Use of Computerized Provider Order Entry Events for Postoperative Complication Surveillance." JAMA Surgery 154, no. 4 (2019): 311. http://dx.doi.org/10.1001/jamasurg.2018.4874.

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43

Sklarin, Nancy T., Svetlana Granovsky, Eileen M. O'Reilly, and Andrew D. Zelenetz. "Electronic Chemotherapy Order Entry: A Major Cancer Center's Implementation." Journal of Oncology Practice 7, no. 4 (2011): 213–18. http://dx.doi.org/10.1200/jop.2011.000266.

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Implementation of computerized provider order entry for complex chemotherapy regimens supported Memorial Sloan-Kettering Cancer Center's strategic plan to successfully establish a distributive, networked health care delivery system.
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44

Knight, Amy M., Steven J. Kravet, Dmitry Kiyatkin, and Bruce Leff. "The Effect of Computerized Provider Order Entry on Medical Students’ Ability to Write Orders." Teaching and Learning in Medicine 24, no. 1 (2012): 63–70. http://dx.doi.org/10.1080/10401334.2012.641490.

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45

Jacobs, Brian R., Craig K. Hallstrom, Kim Ward Hart, Daniela Mahoney, and Gayle Lykowski. "Lessons from a Successful Implementation of a Computerized Provider Order Entry System." Journal of Pediatric Pharmacology and Therapeutics 12, no. 2 (2007): 102–14. http://dx.doi.org/10.5863/1551-6776-12.2.102.

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OBJECTIVES The electronic health record (EHR) can improve patient safety, care efficiency, cost effectiveness and regulatory compliance. Cincinnati Children's Hospital Medical Center (CCHMC) has successfully implemented an Integrating Clinical Information System (ICIS) that includes Computerized Provider Order Entry (CPOE). This review describes some of the unanticipated challenges and solutions identified during the implementation of ICIS. METHODS Data for this paper was derived from user-generated feedback within the ICIS. Feedback reports were reviewed and placed into categories based on ro
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46

Payne, T. H. "Preparation and Use of Preconstructed Orders, Order Sets, and Order Menus in a Computerized Provider Order Entry System." Journal of the American Medical Informatics Association 10, no. 4 (2003): 322–29. http://dx.doi.org/10.1197/jamia.m1090.

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47

Borbolla, Damian, and Grégoire Ficheur. "Clinical Decision Support Systems and Computerized Provider Order Entry: Contributions from 2020." Yearbook of Medical Informatics 30, no. 01 (2021): 172–75. http://dx.doi.org/10.1055/s-0041-1726534.

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Summary Objectives: To summarize research contributions published in 2020 in the field of clinical decision support systems (CDSS) and computerized provider order entry (CPOE), and select the best papers for the Decision Support section of the International Medical Informatics Association (IMIA) Yearbook 2021. Methods: Two bibliographic databases were searched for papers referring to clinical decision support systems. From search results, section editors established a list of candidate best papers, which were then peer-reviewed by seven external reviewers. The IMIA Yearbook editorial committee
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48

Carli, Delphine, Guillaume Fahrni, Pascal Bonnabry, and Christian Lovis. "Quality of Decision Support in Computerized Provider Order Entry: Systematic Literature Review." JMIR Medical Informatics 6, no. 1 (2018): e3. http://dx.doi.org/10.2196/medinform.7170.

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49

DeMoor, Patricia A., and Lyudmila Bazhenova. "Impact of computerized provider order entry on medication errors in chemotherapy administration." Journal of Clinical Oncology 30, no. 15_suppl (2012): e16535-e16535. http://dx.doi.org/10.1200/jco.2012.30.15_suppl.e16535.

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e16535 Background: Computerized provider order entry (CPOE) reduces medication errors (ME) in ambulatory prescriber and hospital settings. We conducted a study to assess the effect of CPOE on ME in an outpatient NCI designated academic infusion center (IC). Methods: Both actual and prevented ME were reported by clinical staff as part of IC Standard Operating Procedure using the electronic Quality Variance Reporting (eQVR, Incident Reporting 2.0, University of California) system. Reported ME from 10/2007 to 03/2011 were reviewed by 2 investigators and classified into categories by consensus: wr
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50

Breen, Christopher, Kevin Maguire, Amit Bansal, et al. "Reducing Phlebotomy Utilization With Education and Changes to Computerized Provider Order Entry." Journal for Healthcare Quality 41, no. 3 (2019): 154–59. http://dx.doi.org/10.1097/jhq.0000000000000150.

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