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Bumbarger NA, Towbin AJ, Garcia-Filion P, Whitfill J, Cook T, Folio LR. Imaging Informatics Education in Clinical Informatics Programs: Perspective from Imaging and Clinical Informatics Professionals. Appl Clin Inform 2024; 15:756-762. [PMID: 39293649 PMCID: PMC11410437 DOI: 10.1055/s-0044-1788327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/20/2024] Open
Abstract
BACKGROUND Imaging and Clinical Informatics are domains of biomedical informatics. Imaging Informatics topics are often not covered in depth in most Clinical Informatics fellowships. While dedicated Imaging Informatics fellowships exist, they may not have the same rigor as ACGME (Accreditation Council for Graduate Medical Education) accredited Clinical Informatics fellowships and they do not provide a direct path toward subspecialty board certification. OBJECTIVES We compared published curricula and test content between Clinical and Imaging Informatics fellowship programs. We then highlighted differences between training programs and identified overlapping topics and opportunities for additional education for each type of trainee. METHODS Published consensus curricula and topics were extracted for each specialty. Two informaticists compared topics as shared or not shared between specialties. Next, test content outlines were compared for each specialty exam, extracted, and classified as shared or not shared content. A Venn diagram was created to highlight areas unique to each specialty as well as areas of overlap. RESULTS There were 139 Clinical Informatics topics compared with 97 Imaging Informatics topics. Of the 139 Clinical Informatics topics, 115 (83%) were covered in the Imaging Informatics curriculum. Of the 97 Imaging Informatics topics, 74 (76%) were covered in the Clinical Informatics curriculum. When using test content outline data, 170 out of 397 (43%) Imaging Informatics topics matched to 64 out of 139 (46%) Clinical Informatics topics. We describe examples of overlapping topics and those unique to each program to identify potential areas to expand. CONCLUSION Imaging Informatics and Clinical Informatics fellowship programs have some overlap with areas unique to each. Our review may help guide those seeking informatics education and potential certification. As enterprise imaging evolves, these differences may become more important and create knowledge gaps, if not systematically evaluated.
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Affiliation(s)
- Nathan A Bumbarger
- Department of Diagnostic Radiology, University of Maryland School of Medicine, Baltimore, Maryland, United States
| | - Alexander J Towbin
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States; University of Cincinnati College of Medicine, Cincinnati, Ohio, United States
| | - Pamela Garcia-Filion
- Department of Biomedical Informatics, The University of Arizona College of Medicine Tucson, Tucson, Arizona, United States
| | - James Whitfill
- Department of Internal Medicine and Biomedical Informatics, The University of Arizona College of Medicine Phoenix, Phoenix, Arizona, United States
| | - Tessa Cook
- Department of Medicine, Diagnostic Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Les R Folio
- Department of Diagnostic Radiology, Moffitt Cancer Center, Tampa, Florida, United States
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Roth CJ, Petersilge CA, Cram D, Garriott K, Lannum L, Carey CK, Medina N, Kwiatkoski T, Whitfill JT, Towbin AJ. Celebrating 10 Years of the HIMSS-SIIM Enterprise Imaging Community and Enterprise Imaging Informatics. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024:10.1007/s10278-024-01141-7. [PMID: 38858262 DOI: 10.1007/s10278-024-01141-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 05/06/2024] [Accepted: 05/07/2024] [Indexed: 06/12/2024]
Abstract
In response to the growing recognition of enterprise imaging as a critical component of healthcare's digital transformation, in 2014, the Healthcare Information and Management Systems Society (HIMSS) and the Society for Imaging Informatics in Medicine (SIIM) signed a Memorandum of Understanding to form the HIMSS-SIIM Enterprise Imaging Community (HSEIC). At the time of the agreement, the two organizations decided to collaborate to lead enterprise imaging development, advancement, and adoption. This paper celebrates the past 10 years of the HSEIC's thought leadership, industry partnerships, and impact while also looking ahead to identify enterprise imaging challenges to solve in the next decade.
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Affiliation(s)
| | - Cheryl A Petersilge
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- , Vidagos, Chagrin Falls, OH, USA
| | - Dawn Cram
- Department of Research and Development, PaxeraHealth, Newton, MA, USA
| | | | - Lou Lannum
- , Lannum & Associates, Cleveland, OH, USA
| | - Cheryl K Carey
- Society for Imaging Informatics in Medicine, Leesburg, VA, USA
| | - Nikki Medina
- Society for Imaging Informatics in Medicine, Leesburg, VA, USA
| | - Tammy Kwiatkoski
- Healthcare Information and Management Systems Society, Chicago, IL, USA
| | - James T Whitfill
- HonorHealth, Scottsdale, AZ, USA
- University of Arizona College of Medicine - Phoenix, Phoenix, AZ, USA
| | - Alexander J Towbin
- Department of Radiology, Cincinnati Children's Hospital, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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Roth CJ, Petersilge C, Clunie D, Towbin AJ, Cram D, Primo R, Li X, Berkowitz SJ, Barnosky V, Krupinski EA. HIMSS-SIIM Enterprise Imaging Community White Papers: Reflections and Future Directions. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024; 37:429-443. [PMID: 38336948 PMCID: PMC11031499 DOI: 10.1007/s10278-024-00992-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/23/2024] [Indexed: 02/12/2024]
Affiliation(s)
| | - Cheryl Petersilge
- Vidagos University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Alexander J Towbin
- Department of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA.
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
| | - Dawn Cram
- PaxeraHealth, 85 Wells Ave Suite 120, Newton, MA, 02459, USA
| | - Rik Primo
- Primo Medical Imaging Informatics Inc, Chicago, IL, USA
| | - Xin Li
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Seth J Berkowitz
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA
| | - Victoria Barnosky
- Robert Morris University, Moon Township, Suazio, Philadelphia, PA, USA
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Dhamija A, Perry LA, OConnor TJ, Ulland L, Slavik E, Towbin AJ. Development and Implementation of a Semi-Automated Workflow for Point-of-Care Ultrasound Billing and Documentation Within an Electronic Health Record. J Digit Imaging 2023; 36:395-400. [PMID: 36385677 PMCID: PMC10039213 DOI: 10.1007/s10278-022-00742-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 11/09/2022] [Accepted: 11/09/2022] [Indexed: 11/17/2022] Open
Abstract
Point-of-care ultrasound (POCUS) is widely used for both diagnostic and therapeutic purposes. With its many advantages, including ease of use, real-time multisystem assessment, affordability, availability, and accuracy, it has been adopted by all medical specialties. Despite its advantages, the lack of standard workflow and automated billing solutions makes it difficult to launch a comprehensive POCUS program. In this work, we describe how we created and implemented an efficient standardized EHR-based workflow for POCUS that has been used across multiple division and settings within our organization.
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Affiliation(s)
- Akhil Dhamija
- Department of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA
- Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Laurie A Perry
- Department of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA
| | - Timothy J OConnor
- Department of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA
| | - Lisa Ulland
- Department of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA
| | - Evan Slavik
- Department of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA
| | - Alexander J Towbin
- Department of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA.
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
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Whitfill JT, Kalpas E, Garcia-Filion P. Reuniting Long Lost Cousins: a Novel Curriculum in Imaging Informatics for Clinical Informatics Fellows. J Digit Imaging 2022; 35:876-880. [PMID: 35394222 PMCID: PMC9485359 DOI: 10.1007/s10278-022-00628-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 03/24/2022] [Accepted: 04/01/2022] [Indexed: 11/28/2022] Open
Abstract
We developed a curriculum of imaging informatics for clinical informatics fellows. While imaging informatics and clinical informatics are related fields, they have distinct bodies of knowledge. The aim of this curriculum is to prepare clinical informatics fellows for questions regarding imaging informatics on the clinical informatics board certification examination, prepare fellows to handle issues and requests involving imaging informatics in their future roles as clinical informaticists, and develop sufficient knowledge and skills in order to interface with imaging and radiology domain experts. We mapped ACGME core competencies for clinical informatics and the clinical informatics skills and attributes to topics covered in this curriculum. Topics covered included orders vs. encounter-based workflow, understanding imaging informatics operations and the differences between an IT department leading digital image management and the radiology department, clinical decision support for radiology, procuring and integrating new modalities into a PACS system, troubleshooting slow application performance in a PACS environment, imaging sharing, artificial intelligence (AI) in imaging including AI bias, validation of models within home institution and regulatory issues, and structured reporting vs. Natural Language Processing to mine radiology report data. These topics were covered in interactive didactic sessions as well as a journal club. Future work will expand to include hands-on learning and a formal evaluation of this curriculum with current fellows and recent graduates.
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Affiliation(s)
- James T Whitfill
- HonorHealth, Scottsdale AZ, Phoenix, USA. .,University of Arizona College of Medicine Phoenix, Phoenix, USA.
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Abstract
As resources in the healthcare environment continue to wane, leaders are seeking ways to continue to provide quality care bounded by the constraints of a reduced budget. This manuscript synthesizes the experience from a number of institutions to provide the healthcare leadership with an understanding of the value of an enterprise imaging program. The value of such a program extends across the entire health system. It leads to operational efficiencies through infrastructure and application consolidation and the creation of focused support capabilities with increased depth of skill. An enterprise imaging program provides a centralized foundation for all phases of image management from every image-producing specialty. Through centralization, standardized image exchange functions can be provided to all image producers. Telehealth services can be more tightly integrated into the electronic medical record. Mobile platforms can be utilized for image viewing and sharing by patients and providers. Mobile tools can also be utilized for image upload directly into the centralized image repository. Governance and data standards are more easily distributed, setting the stage for artificial intelligence and data analytics. Increased exposure to all image producers provides opportunities for cybersecurity optimization and increased awareness.
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The Importance of Body Part Labeling to Enable Enterprise Imaging: A HIMSS-SIIM Enterprise Imaging Community Collaborative White Paper. J Digit Imaging 2021; 34:1-15. [PMID: 33481143 PMCID: PMC7887098 DOI: 10.1007/s10278-020-00415-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/23/2020] [Indexed: 11/16/2022] Open
Abstract
In order for enterprise imaging to be successful across a multitude of specialties, systems, and sites, standards are essential to categorize and classify imaging data. The HIMSS-SIIM Enterprise Imaging Community believes that the Digital Imaging Communications in Medicine (DICOM) Anatomic Region Sequence, or its equivalent in other data standards, is a vital data element for this role, when populated with standard coded values. We believe that labeling images with standard Anatomic Region Sequence codes will enhance the user’s ability to consume data, facilitate interoperability, and allow greater control of privacy. Image consumption—when a user views a patient’s images, he or she often wants to see relevant comparison images of the same lesion or anatomic region for the same patient automatically presented. Relevant comparison images may have been acquired from a variety of modalities and specialties. The Anatomic Region Sequence data element provides a basis to allow for efficient comparison in both instances. Interoperability—as patients move between health care systems, it is important to minimize friction for data transfer. Health care providers and facilities need to be able to consume and review the increasingly large and complex volume of data efficiently. The use of Anatomic Region Sequence, or its equivalent, populated with standard values enables seamless interoperability of imaging data regardless of whether images are used within a site or across different sites and systems. Privacy—as more visible light photographs are integrated into electronic systems, it becomes apparent that some images may need to be sequestered. Although additional work is needed to protect sensitive images, standard coded values in Anatomic Region Sequence support the identification of potentially sensitive images, enable facilities to create access control policies, and can be used as an interim surrogate for more sophisticated rule-based or attribute-based access control mechanisms. To satisfy such use cases, the HIMSS-SIIM Enterprise Imaging Community encourages the use of a pre-existing body part ontology. Through this white paper, we will identify potential challenges in employing this standard and provide potential solutions for these challenges.
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Wickerson L, Fujioka JK, Kishimoto V, Jamieson T, Fine B, Bhatia RS, Desveaux L. Utility and Perceived Value of a Provincial Digital Diagnostic Imaging Repository: Multimethod Study. JMIR Form Res 2020; 4:e17220. [PMID: 32459644 PMCID: PMC7418016 DOI: 10.2196/17220] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 03/23/2020] [Accepted: 04/08/2020] [Indexed: 12/03/2022] Open
Abstract
Background Timely and comprehensive diagnostic image sharing across institutional and regional boundaries can produce multiple benefits while supporting integrated models of care. In Ontario, Canada, the Diagnostic Imaging Common Service (DICS) was created as a centralized imaging repository to enable the sharing and viewing of diagnostic images and associated reports across hospital-based and community-based clinicians throughout the province. Objective The aims of this study were as follows: (1) to explore real-world utilization and perceived clinical value of the DICS following the provision of system-wide access and (2) to identify strategies to optimize the technology platform functionality and encourage adoption. Methods This multimethod study included semistructured interviews with physicians and administrative stakeholders and descriptive analysis of the
current DICS usage data. Results In this study, 41 participants were interviewed, that is, 34 physicians and 7 administrative stakeholders. The following 4 key themes emerged: (1) utilization of the DICS depended on the awareness of the technology and the preferred channels for accessing images, which varied widely, (2) clinical responsibilities and available institutional resources were the drivers of utilization (or lack thereof), (3) centralized image repositories were perceived to offer value at the patient, clinician, and health care system levels, and (4) the enabling factors to realize value included aspects of technology infrastructure (ie, available functionality) alongside policy supports. High-volume DICS usage was not evenly distributed throughout the province. Conclusions Suboptimal adoption of the DICS was driven by poor awareness and variations in the clinical workflow. Alignment with physician workflow, policy supports, and investment in key technological features and infrastructure would improve functionality and data comprehensiveness, thereby optimizing health system performance, patient and provider experience, population health, and health care costs.
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Affiliation(s)
- Lisa Wickerson
- University Health Network, Toronto, ON, Canada.,Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Canada
| | - Jamie K Fujioka
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Canada
| | - Vanessa Kishimoto
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Canada
| | - Trevor Jamieson
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Canada.,Unity Health Toronto, Toronto, ON, Canada.,Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Ben Fine
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Canada.,Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - R Sacha Bhatia
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Canada.,Unity Health Toronto, Toronto, ON, Canada.,Department of Medicine, University of Toronto, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Laura Desveaux
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
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IT development in radiology - an ESR update on the Digital Imaging Adoption Model (DIAM). Insights Imaging 2019; 10:27. [PMID: 30820690 PMCID: PMC6395459 DOI: 10.1186/s13244-019-0712-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 01/31/2019] [Indexed: 11/10/2022] Open
Abstract
The Digital Imaging Adoption Model (DIAM), a joint project established in 2016 by the European Society of Radiology (ESR) and the Healthcare Information and Management Systems Society (HIMSS), is designed to assist imaging institutions in implementing increasingly integrated IT systems and improving patient care. The model provides a framework through which existing capacities can be assessed and strategy for future institutional development elaborated. DIAM has already been adopted by 58 leading institutions in 18 countries. This article will first provide an overview of the DIAM framework; subsequently, it will consider what its adoption has revealed so far, both through the analysis of global data and through specific case studies; finally, it will outline the future potential and goals of the project.
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Pantanowitz L, Sharma A, Carter AB, Kurc T, Sussman A, Saltz J. Twenty Years of Digital Pathology: An Overview of the Road Travelled, What is on the Horizon, and the Emergence of Vendor-Neutral Archives. J Pathol Inform 2018; 9:40. [PMID: 30607307 PMCID: PMC6289005 DOI: 10.4103/jpi.jpi_69_18] [Citation(s) in RCA: 116] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 10/28/2018] [Indexed: 12/13/2022] Open
Abstract
Almost 20 years have passed since the commercial introduction of whole-slide imaging (WSI) scanners. During this time, the creation of various WSI devices with the ability to digitize an entire glass slide has transformed the field of pathology. Parallel advances in computational technology and storage have permitted rapid processing of large-scale WSI datasets. This article provides an overview of important past and present efforts related to WSI. An account of how the virtual microscope evolved from the need to visualize and manage satellite data for earth science applications is provided. The article also discusses important milestones beginning from the first WSI scanner designed by Bacus to the Food and Drug Administration approval of the first digital pathology system for primary diagnosis in surgical pathology. As pathology laboratories commit to going fully digitalize, the need has emerged to include WSIs into an enterprise-level vendor-neutral archive (VNA). The different types of VNAs available are reviewed as well as how best to implement them and how pathology can benefit from participating in this effort. Differences between traditional image algorithms that extract pixel-, object-, and semantic-level features versus deep learning methods are highlighted. The need for large-scale data management, analysis, and visualization in computational pathology is also addressed.
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Affiliation(s)
- Liron Pantanowitz
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Ashish Sharma
- Department of Biomedical Informatics, Emory University, GA, USA
| | - Alexis B. Carter
- Department of Pathology and Laboratory Medicine, Children's Healthcare of Atlanta, GA, USA
| | - Tahsin Kurc
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
| | - Alan Sussman
- Department of Computer Science, University of Maryland, College Park, MD, USA
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
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Folio LR, Machado LB, Dwyer AJ. Multimedia-enhanced Radiology Reports: Concept, Components, and Challenges. Radiographics 2018. [PMID: 29528822 DOI: 10.1148/rg.2017170047] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Multimedia-enhanced radiology report (MERR) development is defined and described from an informatics perspective, in which the MERR is seen as a superior information-communicating entity. Recent technical advances, such as the hyperlinking of report text directly to annotated images, improve MERR information content and accessibility compared with text-only reports. The MERR is analyzed by its components, which include hypertext, tables, graphs, embedded images, and their interconnections. The authors highlight the advantages of each component for improving the radiologist's communication of report content information and the user's ability to extract information. Requirements for MERR implementation (eg, integration of picture archiving and communication systems, radiology information systems, and electronic medical record systems) and the authors' initial experiences and challenges in MERR implementation at the National Institutes of Health are reviewed. The transition to MERRs has provided advantages over use of traditional text-only radiology reports because of the capacity to include hyperlinked report text that directs clinicians to image annotations, images, tables, and graphs. A framework is provided for thinking about the MERR from the user's perspective. Additional applications of emerging technologies (eg, artificial intelligence and machine learning) are described in the crafting of what the authors believe is the radiology report of the future. ©RSNA, 2018.
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Affiliation(s)
- Les R Folio
- From Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Building 10, Bethesda, MD 20892
| | - Laura B Machado
- From Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Building 10, Bethesda, MD 20892
| | - Andrew J Dwyer
- From Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Building 10, Bethesda, MD 20892
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Abstract
Care providers today routinely obtain valuable clinical multimedia with mobile devices, scope cameras, ultrasound, and many other modalities at the point of care. Image capture and storage workflows may be heterogeneous across an enterprise, and as a result, they often are not well incorporated in the electronic health record. Enterprise Imaging refers to a set of strategies, initiatives, and workflows implemented across a healthcare enterprise to consistently and optimally capture, index, manage, store, distribute, view, exchange, and analyze all clinical imaging and multimedia content to enhance the electronic health record. This paper is intended to introduce Enterprise Imaging as an important initiative to clinical and informatics leadership, and outline its key elements of governance, strategy, infrastructure, common multimedia content, acquisition workflows, enterprise image viewers, and image exchange services.
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Abstract
Enterprise imaging governance is an emerging need in health enterprises today. This white paper highlights the decision-making body, framework, and process for optimal enterprise imaging governance inclusive of five areas of focus: program governance, technology governance, information governance, clinical governance, and financial governance. It outlines relevant parallels and differences when forming or optimizing imaging governance as compared with other established broad horizontal governance groups, such as for the electronic health record. It is intended for CMIOs and health informatics leaders looking to grow and govern a program to optimally capture, store, index, distribute, view, exchange, and analyze the images of their enterprise.
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Clunie DA, Dennison DK, Cram D, Persons KR, Bronkalla MD, Primo HR. Technical Challenges of Enterprise Imaging: HIMSS-SIIM Collaborative White Paper. J Digit Imaging 2016; 29:583-614. [PMID: 27576909 PMCID: PMC5023533 DOI: 10.1007/s10278-016-9899-4] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
This white paper explores the technical challenges and solutions for acquiring (capturing) and managing enterprise images, particularly those involving visible light applications. The types of acquisition devices used for various general-purpose photography and specialized applications including dermatology, endoscopy, and anatomic pathology are reviewed. The formats and standards used, and the associated metadata requirements and communication protocols for transfer and workflow are considered. Particular emphasis is placed on the importance of metadata capture in both order- and encounter-based workflow. The benefits of using DICOM to provide a standard means of recording and accessing both metadata and image and video data are considered, as is the role of IHE and FHIR.
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Affiliation(s)
- David A Clunie
- Pixelmed Publishing LLC., 943 Heiden Rd, Bangor, PA, 18013, USA.
| | - Don K Dennison
- Don K Dennison Solutions Inc., 205 Fern Cres, Waterloo, ON, N2V 2P9, Canada
| | - Dawn Cram
- Department of Information Technology, University of Miami Health System, Miami, FL, 33136, USA
| | - Kenneth R Persons
- Mayo Clinic and Foundation, 200 First St. SW, Pb 2-58, Rochester, MN, 55905, USA
| | - Mark D Bronkalla
- Merge Healthcare, 900 Walnut Ridge Drive, Hartland, WI, 53029, USA
| | - Henri Rik Primo
- Digital Health Services, Siemens Healthineers, 65 Valley Stream Parkway, Malvern, PA, 19355, USA
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