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Nabrawi E, Alanazi AT. Imaging in Healthcare: A Glance at the Present and a Glimpse Into the Future. Cureus 2023; 15:e36111. [PMID: 37065355 PMCID: PMC10098436 DOI: 10.7759/cureus.36111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/13/2023] [Indexed: 03/18/2023] Open
Abstract
The utilization of artificial intelligence (AI) applications in medical imaging relies heavily on imaging informatics. That is a one-of-a-kind professional who works at the crossroads of clinical radiography, data science, and information technology. Imaging informaticians are becoming crucial players in expanding, assessing, and implementing AI in the medical setting. Teleradiology will continue to be a cost-effective healthcare facility that expands. Vendor neutral archive (VNA) isolates image presentation and storing systems, permitting platforms to develop quickly, and is a repository for organization-wide healthcare image data. Efforts are made to incorporate and integrate diagnostic facilities such as radiography and pathology to fulfill the needs and demands of targeted therapy. Developments in computer-aided medical object identification may alter the environment of patient services. Finally, interpreting and processing distinct complex healthcare data will create a data-rich context where evidence-based care and performance development may be driven.
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Gerard R, Makeeva V, Vey B, Cook TS, Nagy P, Filice RW, Wang KC, Balthazar P, Harri P, Safdar NM. Imaging Informatics Fellowship Curriculum: Building Consensus on the Most Critical Topics and the Future of the Informatics Fellowship. J Digit Imaging 2023; 36:1-10. [PMID: 36316619 PMCID: PMC9984571 DOI: 10.1007/s10278-022-00702-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 07/18/2022] [Accepted: 09/08/2022] [Indexed: 03/05/2023] Open
Abstract
The existing fellowship imaging informatics curriculum, established in 2004, has not undergone formal revision since its inception and inaccurately reflects present-day radiology infrastructure. It insufficiently equips trainees for today's informatics challenges as current practices require an understanding of advanced informatics processes and more complex system integration. We sought to address this issue by surveying imaging informatics fellowship program directors across the country to determine the components and cutline for essential topics in a standardized imaging informatics curriculum, the consensus on essential versus supplementary knowledge, and the factors individual programs may use to determine if a newly developed topic is an essential topic. We further identified typical program structural elements and sought fellowship director consensus on offering official graduate trainee certification to imaging informatics fellows. Here, we aim to provide an imaging informatics fellowship director consensus on topics considered essential while still providing a framework for informatics fellowship programs to customize their individual curricula.
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Affiliation(s)
- Roger Gerard
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, NE Suite D112, 1364 Clifton Road, Atlanta, GA, 30322, USA.
| | - Valeria Makeeva
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, NE Suite D112, 1364 Clifton Road, Atlanta, GA, 30322, USA
| | - Brianna Vey
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, NE Suite D112, 1364 Clifton Road, Atlanta, GA, 30322, USA
| | - Tessa S Cook
- Department of Radiology, Ground Floor, Hospital of the University of Pennsylvania, 3400 Civic Center Boulevard Atrium, Philadelphia, PA, 19104, USA
| | - Paul Nagy
- Department of Radiology, Johns Hopkins University School of Medicine, 601 N. Caroline St., Room 4223, Baltimore, MD, USA
- Division of Health Science Informatics, Johns Hopkins University School of Public Health, 2024 East Monument St. S 1-200, Baltimore, MD, 21205, USA
| | - Ross W Filice
- Department of Radiology, Medstar Georgetown University Hospital, 3800 Reservoir Road, NW, Washington, DC, 20007, USA
| | - Kenneth C Wang
- Department of Diagnostic Radiology and Nuclear Medicine, Medical Center, University of Maryland, University of Maryland School of Medicine, 655 W. Baltimore Street, Baltimore, MD, 21201, USA
| | - Patricia Balthazar
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, NE Suite D112, 1364 Clifton Road, Atlanta, GA, 30322, USA
| | - Peter Harri
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, NE Suite D112, 1364 Clifton Road, Atlanta, GA, 30322, USA
| | - Nabile M Safdar
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, NE Suite D112, 1364 Clifton Road, Atlanta, GA, 30322, USA
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Balthazar P, Harri P, Prater A, Heilbrun ME, Mullins ME, Safdar N. Development and Implementation of an Integrated Imaging Informatics Track for Radiology Residents: Our 3-Year Experience. Acad Radiol 2022; 29 Suppl 5:S58-S64. [PMID: 33303347 DOI: 10.1016/j.acra.2020.11.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/01/2020] [Accepted: 11/09/2020] [Indexed: 12/30/2022]
Abstract
RATIONALE AND OBJECTIVES Imaging Informatics is an emerging and fast-evolving field that encompasses the management of information during all steps of the imaging value chain. With many information technology tools being essential to the radiologists' day-to-day work, there is an increasing need for qualified professionals with clinical background, technology expertise, and leadership skills. To answer this, we describe our experience in the development and implementation of an Integrated Imaging Informatics Track (I3T) for radiology residents at our institution. MATERIALS AND METHODS The I3T was created by a resident-driven initiative funded by an intradepartmental resident grant. Its curriculum is delivered through a combination of monthly small group discussions, operational meetings, recommended readings, lectures, and early exposure to the National Imaging Informatics Course. The track is steered and managed by the I3T Committee, including trainees and faculty advisors. Up to two first-year residents are selected annually based on their curriculum vitae and an interest application. Successful completion of the program requires submission of a capstone project and at least one academic deliverable (national meeting presentation, poster, exhibit, manuscript and/or grant). RESULTS In our three-year experience, the seven I3T radiology residents have reported a total of 58 scholarly activities related to Imaging Informatics. I3T residents have assumed leadership roles within our organization and nationally. All residents have successfully carried out their clinical responsibilities. CONCLUSION We have developed and implemented an I3T for radiology residents at our institution. These residents have been successful in their clinical, scholarship and leadership pursuits.
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Affiliation(s)
- Patricia Balthazar
- Department of Radiology, Emory University School of Medicine, Atlanta, Georgia.
| | - Peter Harri
- Department of Radiology, Emory University School of Medicine, Atlanta, Georgia
| | - Adam Prater
- Department of Radiology, Emory University School of Medicine, Atlanta, Georgia
| | - Marta E Heilbrun
- Department of Radiology, Emory University School of Medicine, Atlanta, Georgia
| | - Mark E Mullins
- Department of Radiology, Emory University School of Medicine, Atlanta, Georgia
| | - Nabile Safdar
- Department of Radiology, Emory University School of Medicine, Atlanta, Georgia
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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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Kim TH, Noh S, Kim YR, Lee C, Kim JE, Jeong CW, Yoon KH. Development and validation of a management system and dataset quality assessment tool for the Radiology Common Data Model (R_CDM): A case study in liver disease. Int J Med Inform 2022; 162:104759. [PMID: 35390589 DOI: 10.1016/j.ijmedinf.2022.104759] [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: 06/29/2021] [Revised: 03/17/2022] [Accepted: 03/29/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND The Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM), a distributed research network, has low clinical data coverage. Radiological data are valuable, but imaging metadata are often incomplete, and a standardized recording format in the OMOP-CDM is lacking. We developed a web-based management system and data quality assessment (RQA) tool for a radiology_CDM (R_CDM) and evaluated the feasibility of clinically applying this dataset. METHODS We designed an R_CDM with Radiology_Occurrence and Radiology_Image tables. This was seamlessly linked to the OMOP-CDM clinical data. We adopted the standardized terminology using the RadLex playbook and mapped 5,753 radiology protocol terms to the OMOP vocabulary. An extract, transform, and load (ETL) process was developed to extract detailed information that was difficult to extract from metadata and to compensate for missing values. Image-based quantification was performed to measure liver surface nodularity (LSN), using customized Wonkwang abdomen and liver total solution (WALTS) software. RESULTS On a PACS, 368,333,676 DICOM files (1,001,797 cases) were converted to R_CDM chronic liver disease (CLD) data (316,596 MR images, 228 cases; 926,753 CT images, 782 cases) and uploaded to a web-based management system. Acquisition date and resolution were extracted accurately, but other information, such as "contrast administration status" and "photography direction", could not be extracted from the metadata. Using WALTS, 9,609 pre-contrast axial-plane abdominal MR images (197 CLD cases) were assigned LSN scores by METAVIR fibrosis grades, which differed significantly by ANOVA (p < 0.001). The mean RQA score (83.5) indicated good quality. CONCLUSION This study developed a web-based system for management of the R_CDM dataset, RQA tool, and constructed a CLD R_CDM dataset, with good quality for clinical application. Our management system and R_CDM CLD dataset would be useful for multicentric and image-based quantification researches.
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Affiliation(s)
- Tae-Hoon Kim
- Medical Convergence Research Center, Wonkwang University, Iksan 54538, Republic of Korea
| | - SiHyeong Noh
- Medical Convergence Research Center, Wonkwang University, Iksan 54538, Republic of Korea
| | - Youe Ree Kim
- Department of Radiology, Wonkwang University School of Medicine and Wonkwang University Hospital, Iksan 54538, Republic of Korea
| | - ChungSub Lee
- Medical Convergence Research Center, Wonkwang University, Iksan 54538, Republic of Korea
| | - Ji Eon Kim
- Medical Convergence Research Center, Wonkwang University, Iksan 54538, Republic of Korea
| | - Chang-Won Jeong
- Medical Convergence Research Center, Wonkwang University, Iksan 54538, Republic of Korea.
| | - Kwon-Ha Yoon
- Medical Convergence Research Center, Wonkwang University, Iksan 54538, Republic of Korea; Department of Radiology, Wonkwang University School of Medicine and Wonkwang University Hospital, Iksan 54538, Republic of Korea.
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Cewe P, Burström G, Drnasin I, Ohlsson M, Skulason H, Vucica S, Elmi-Terander A, Edström E. Evaluation of a Novel Teleradiology Technology for Image-Based Distant Consultations: Applications in Neurosurgery. Diagnostics (Basel) 2021; 11:diagnostics11081413. [PMID: 34441347 PMCID: PMC8391712 DOI: 10.3390/diagnostics11081413] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 07/20/2021] [Accepted: 08/03/2021] [Indexed: 12/02/2022] Open
Abstract
In emergency settings, fast access to medical imaging for diagnostic is pivotal for clinical decision making. Hence, a need has emerged for solutions that allow rapid access to images on small mobile devices (SMD) without local data storage. Our objective was to evaluate access times to full quality anonymized DICOM datasets, comparing standard access through an authorized hospital computer (AHC) to a zero-footprint teleradiology technology (ZTT) used on a personal computer (PC) or SMD using national and international networks at a regional neurosurgical center. Image datasets were sent to a senior neurosurgeon, outside the hospital network using either an AHC and a VPN connection or a ZTT (Image Over Globe (IOG)), on a PC or an SMD. Time to access DICOM images was measured using both solutions. The mean time using AHC and VPN was 250 ± 10 s (median 249 s (233–274)) while the same procedure using IOG took 50 ± 8 s (median 49 s (42–60)) on a PC and 47 ± 20 s (median 39 (33–88)) on a SMD. Similarly, an international consultation was performed requiring 23 ± 5 s (median 21 (16–33)) and 27 ± 1 s (median 27 (25–29)) for PC and SMD respectively. IOG is a secure, rapid and easy to use telemedicine technology facilitating efficient clinical decision making and remote consultations.
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Affiliation(s)
- Paulina Cewe
- Department of Trauma and Musculoskeletal Radiology, Karolinska University Hospital, 171 64 Stockholm, Sweden;
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden; (M.O.); (A.E.-T.); (E.E.)
| | - Gustav Burström
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden; (M.O.); (A.E.-T.); (E.E.)
- Department of Neurosurgery, Karolinska University Hospital, 171 64 Stockholm, Sweden
- Correspondence:
| | - Ivan Drnasin
- Image Over Globe, 21000 Split, Croatia; (I.D.); (S.V.)
| | - Marcus Ohlsson
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden; (M.O.); (A.E.-T.); (E.E.)
- Department of Neuroradiology, Karolinska University Hospital, 171 64 Stockholm, Sweden
| | - Halldor Skulason
- Department of Neurosurgery, Landspitali University Hospital, 101 Reykjavik, Iceland;
| | | | - Adrian Elmi-Terander
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden; (M.O.); (A.E.-T.); (E.E.)
- Department of Neurosurgery, Karolinska University Hospital, 171 64 Stockholm, Sweden
| | - Erik Edström
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden; (M.O.); (A.E.-T.); (E.E.)
- Department of Neurosurgery, Karolinska University Hospital, 171 64 Stockholm, Sweden
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Borycki E. Quality and Safety in eHealth: The Need to Build the Evidence Base. J Med Internet Res 2019; 21:e16689. [PMID: 31855183 PMCID: PMC6940858 DOI: 10.2196/16689] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 12/01/2019] [Accepted: 12/09/2019] [Indexed: 12/26/2022] Open
Abstract
Research in the area of health technology safety has demonstrated that technology may both improve patient safety and introduce new types of technology-induced errors. Thus, there is a need to publish safety science literature to develop an evidence-based research base, on which we can continually develop new, safe technologies and improve patient safety. The aim of this viewpoint is to argue for the need to advance evidence-based research in health informatics, so that new technologies can be designed, developed, and implemented for their safety prior to their use in health care. This viewpoint offers a historical perspective on the development of health informatics and safety literature in the area of health technology. I argue for the need to conduct safety studies of technologies used by health professionals and consumers to develop an evidence base in this area. Ongoing research is necessary to improve the quality and safety of health technologies. Over the past several decades, we have seen health informatics emerge as a discipline, with growing research in the field examining the design, development, and implementation of different health technologies and new challenges such as those associated with the quality and safety of technology use. Future research will need to focus on how we can continually extend safety science in this area. There is a need to integrate evidence-based research into the design, development, and implementation of health technologies to improve their safety and reduce technology-induced errors.
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Affiliation(s)
- Elizabeth Borycki
- School of Health Information Science, University of Victoria, Victoria, BC, Canada
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