Literature DB >> 24322986

Implementing unique device identification in electronic health record systems: organizational, workflow, and technological challenges.

Thomas R Campion1, Stephen B Johnson, Elizabeth W Paxton, Alvin I Mushlin, Art Sedrakyan.   

Abstract

BACKGROUND: The United States Food and Drug Administration (FDA) has proposed creating a unique device identification (UDI) system for medical devices to facilitate postmarket surveillance, quality improvement, and other applications. Although a small number of health care institutions have implemented initiatives comparable with the proposed UDI system by capturing data in electronic health record (EHR) systems, it is unknown whether institutions with fewer resources will be able to similarly implement UDI. OBJECTIVE AND METHODS: This paper calls attention to organizational, workflow, and technological challenges in UDI system implementation by drawing from the literature on EHR and clinical research systems implementation.
FINDINGS: Organizational challenges for UDI system implementation include coordinating multiple stakeholders to define UDI attributes and characteristics for use in EHRs, guiding organizational change within individual institutions for integrating UDI with EHRs, and guiding organizational change for reusing UDI data captured in EHRs. Workflow challenges include capturing UDI data in EHRs using keyboard entry and barcode scanning. Technological challenges involve interfacing UDI data between EHRs and surgical information systems, transforming UDI and related patient data from EHRs for research, and applying data standards to UDI within and beyond EHRs. DISCUSSION AND
CONCLUSIONS: We provide recommendations for regulations, organizational sharing, and professional society engagement to raise awareness of and overcome UDI system implementation challenges. Implementation of the UDI system will require integration of people, process, and technology to achieve benefits envisioned by FDA, including improved postmarket device surveillance and quality of care.

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Mesh:

Year:  2014        PMID: 24322986     DOI: 10.1097/MLR.0000000000000012

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  7 in total

1.  National and international postmarket research and surveillance implementation: achievements of the International Consortium of Orthopaedic Registries initiative.

Authors:  Art Sedrakyan; Elizabeth Paxton; Stephen Graves; Rebecca Love; Danica Marinac-Dabic
Journal:  J Bone Joint Surg Am       Date:  2014-12-17       Impact factor: 5.284

2.  Transvenous implantable cardioverter-defibrillator lead reliability: implications for postmarket surveillance.

Authors:  Daniel B Kramer; Laura A Hatfield; Deepa McGriff; Christopher R Ellis; Melanie T Gura; Michelle Samuel; Linda Kallinen Retel; Robert G Hauser
Journal:  J Am Heart Assoc       Date:  2015-05-29       Impact factor: 5.501

3.  Landscape of Cardiovascular Device Registries in the United States.

Authors:  Prashant V Rajan; Jessica N Holtzman; Aaron S Kesselheim; Robert W Yeh; Daniel B Kramer
Journal:  J Am Heart Assoc       Date:  2019-06-01       Impact factor: 5.501

4.  Preliminary feasibility assessment of CDM-based active surveillance using current status of medical device data in medical records and OMOP-CDM.

Authors:  Sooin Choi; Soo Jeong Choi; Jin Kuk Kim; Ki Chang Nam; Suehyun Lee; Ju Han Kim; You Kyoung Lee
Journal:  Sci Rep       Date:  2021-12-15       Impact factor: 4.379

5.  Advancing Patient Safety Surrounding Medical Devices: A Health System Roadmap to Implement Unique Device Identification at the Point of Care.

Authors:  Natalia A Wilson; James E Tcheng; Jove Graham; Joseph P Drozda
Journal:  Med Devices (Auckl)       Date:  2021-11-30

6.  Advancing Patient Safety Surrounding Medical Devices: Barriers, Strategies, and Next Steps in Health System Implementation of Unique Device Identifiers.

Authors:  Natalia A Wilson; James E Tcheng; Jove Graham; Joseph P Drozda
Journal:  Med Devices (Auckl)       Date:  2022-06-21

7.  Electronic health data quality maturity model for medical device evaluations.

Authors:  James E Tcheng; Rachael Fleurence; Art Sedrakyan
Journal:  BMJ Surg Interv Health Technol       Date:  2020-05-15
  7 in total

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