Literature DB >> 26767061

Safe Implementation of Computerized Provider Order Entry for Adult Oncology.

D B Martin1, D Kaemingk1, D Frieze2, P Hendrie1, T H Payne3.   

Abstract

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 development of a customized complex order display and a verification documentation workflow. Staff reported safety events were monitored for two years and compared to the year prior to go live.
RESULTS: A workflow was enabled to capture real-time provider verification status during the time from ordering to the administration of chemotherapy. A customized display system was embedded in the EMR to provide a single screen view of the relevant parameters of chemotherapy doses including current and previous patient measurements of height and weight, dose adjustments, provider verifications, prior chemotherapy regimens, and a synopsis of the standard regimen for reference. Our system went live with 127 chemotherapy plans and has been expanded to 189. Staff reported safety events decreased following implementation, particularly in the area of prescribing and transcribing by the second year of use.
CONCLUSIONS: We observed reduced staff reported safety events following implementation of CPOE for inpatient chemotherapy using an electronic verification workflow and an embedded custom clinical decision support page. This implementation demonstrates that CPOE can be safely used for inpatient chemotherapy, even in an extremely complex environment.

Entities:  

Keywords:  CPOE; chemotherapy; patient safety; transplant

Mesh:

Year:  2015        PMID: 26767061      PMCID: PMC4704034          DOI: 10.4338/ACI-2015-03-RA-0027

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  24 in total

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Journal:  J Clin Oncol       Date:  2000-02       Impact factor: 44.544

2.  Computerized provider order entry in pediatric oncology: design, implementation, and outcomes.

Authors:  Allen R Chen; Christoph U Lehmann
Journal:  J Oncol Pract       Date:  2011-07       Impact factor: 3.840

3.  Error reduction in pediatric chemotherapy: computerized order entry and failure modes and effects analysis.

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4.  The extent and importance of unintended consequences related to computerized provider order entry.

Authors:  Joan S Ash; Dean F Sittig; Eric G Poon; Kenneth Guappone; Emily Campbell; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

5.  The impact of computerized provider order entry on medication errors in a multispecialty group practice.

Authors:  Emily Beth Devine; Ryan N Hansen; Jennifer L Wilson-Norton; N M Lawless; Albert W Fisk; David K Blough; Diane P Martin; Sean D Sullivan
Journal:  J Am Med Inform Assoc       Date:  2010 Jan-Feb       Impact factor: 4.497

6.  Safe and successful implementation of CPOE for chemotherapy at a children's cancer center.

Authors:  James M Hoffman; Donald K Baker; Scott C Howard; Joseph H Laver; Jerry L Shenep
Journal:  J Natl Compr Canc Netw       Date:  2011-02       Impact factor: 11.908

7.  Errors associated with outpatient computerized prescribing systems.

Authors:  Karen C Nanji; Jeffrey M Rothschild; Claudia Salzberg; Carol A Keohane; Katherine Zigmont; Jim Devita; Tejal K Gandhi; Anuj K Dalal; David W Bates; Eric G Poon
Journal:  J Am Med Inform Assoc       Date:  2011-06-29       Impact factor: 4.497

8.  Understanding and preventing wrong-patient electronic orders: a randomized controlled trial.

Authors:  Jason S Adelman; Gary E Kalkut; Clyde B Schechter; Jeffrey M Weiss; Matthew A Berger; Stan H Reissman; Hillel W Cohen; Stephen J Lorenzen; Daniel A Burack; William N Southern
Journal:  J Am Med Inform Assoc       Date:  2012-06-29       Impact factor: 4.497

9.  Role of computerized physician order entry systems in facilitating medication errors.

Authors:  Ross Koppel; Joshua P Metlay; Abigail Cohen; Brian Abaluck; A Russell Localio; Stephen E Kimmel; Brian L Strom
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

10.  Where is the EHR in oncology?

Authors:  Jeremy Warner; Ephraim Hochberg
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  5 in total

1.  The Impact of Order Source Misattribution on Computerized Provider Order Entry (CPOE) Performance Metrics.

Authors:  George A Gellert; Linda Catzoela; Lajja Patel; Kylynn Bruner; Felix Friedman; Ricardo Ramirez; Lilliana Saucedo; S Luke Webster; John A Gillean
Journal:  Perspect Health Inf Manag       Date:  2017-04-01

2.  Medication safety incidents in paediatric oncology after electronic medication management system implementation.

Authors:  Valentina Lichtner; Melissa Baysari; Peter Gates; Luciano Dalla-Pozza; Johanna I Westbrook
Journal:  Eur J Cancer Care (Engl)       Date:  2019-08-22       Impact factor: 2.520

3.  Oncology Information System: A Qualitative Study to Identify Cancer Patient Care Workflows.

Authors:  Azadeh Yazdanian
Journal:  J Med Life       Date:  2020 Oct-Dec

Review 4.  Effects of Guideline-based Computerized Provider Order Entry Systems on the Chemotherapy Order Process: a Systematic Review.

Authors:  Sougand Setareh; Reza Rabiei; Hamid Reza Mirzaei; Arash Roshanpoor; Mahtab Shaabani
Journal:  Acta Inform Med       Date:  2022-03

5.  Impact of computerised physician order entry (CPOE) on the incidence of chemotherapy-related medication errors: a systematic review.

Authors:  Suresh Kumar Srinivasamurthy; Ramkumar Ashokkumar; Sunitha Kodidela; Scott C Howard; Caroline Flora Samer; Uppugunduri Satyanarayana Chakradhara Rao
Journal:  Eur J Clin Pharmacol       Date:  2021-02-23       Impact factor: 2.953

  5 in total

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