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Zeng A, Gu Y, Ma L, Tao X, Gao L, Li J, Wang H, Jiang Y. Development of Quality Indicators for the Ultrasound Department through a Modified Delphi Method. Diagnostics (Basel) 2023; 13:3678. [PMID: 38132262 PMCID: PMC10743281 DOI: 10.3390/diagnostics13243678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/10/2023] [Accepted: 12/12/2023] [Indexed: 12/23/2023] Open
Abstract
This study aims to establish precise quality indicators for evaluating and enhancing ultrasound performance, employing a methodology based on a comprehensive review of the literature, expert insights, and practical application experiences. We conducted a thorough review of both the domestic and international literature on ultrasound quality control to identify potential indicators. A dedicated team was formed to oversee the complete indicator development process. Utilizing a three-round modified Delphi method, we sought expert opinions through personalized email correspondence. Subsequently, data from diverse hospital indicators were collected to validate and assess feasibility. A novel set of seven indicators was compiled initially, followed by the convening of a 36-member nationally representative expert panel. After three rounds of meticulous revisions, consensus was reached on 13 indicators across three domains. These finalized indicators underwent application in various hospital settings, demonstrating their initial validity and feasibility. The development of thirteen ultrasound quality indicators represents a significant milestone in evaluating ultrasound performance. These indicators empower hospitals to monitor changes in quality effectively, fostering efficient quality management practices.
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Affiliation(s)
- Aiping Zeng
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
- National Ultrasound Medical Quality Control Center, Beijing 100730, China
| | - Yang Gu
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
- National Ultrasound Medical Quality Control Center, Beijing 100730, China
| | - Li Ma
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
- National Ultrasound Medical Quality Control Center, Beijing 100730, China
| | - Xixi Tao
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
- National Ultrasound Medical Quality Control Center, Beijing 100730, China
| | - Luying Gao
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
- National Ultrasound Medical Quality Control Center, Beijing 100730, China
| | - Jianchu Li
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
- National Ultrasound Medical Quality Control Center, Beijing 100730, China
| | - Hongyan Wang
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
- National Ultrasound Medical Quality Control Center, Beijing 100730, China
| | - Yuxin Jiang
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
- National Ultrasound Medical Quality Control Center, Beijing 100730, China
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Rouhani S, Zamenian S. An Architectural Framework for Healthcare Dashboards Design. JOURNAL OF HEALTHCARE ENGINEERING 2021; 2021:1964054. [PMID: 34745492 PMCID: PMC8566039 DOI: 10.1155/2021/1964054] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 09/21/2021] [Accepted: 10/11/2021] [Indexed: 11/17/2022]
Abstract
In today's competitive environment, one of the new tools in the field of information technology is business or organizational dashboards that are a backup in the process of strategic management of organizations. The purpose of the current research is to provide a framework to design the healthcare dashboard through technical architecture with fulfilling the decision-makers' requirements. In this study, a common qualitative research method, metasynthesis, is applied, including a seven-step set of research questions, conducting systematic literature search and selection of suitable papers, data extraction, analysis and findings of the qualitative composition, quality control, and presentation of findings. During this process, 102 articles were found by saturation of information resources and then 12 articles were selected for extracting data using acceptance and rejection criteria. A critical evaluation method was used to evaluate the quality of selected articles. After investigating the selected articles and scoring them, in terms of quality, one article was very good, 10 articles were good, and one article was moderate. Then, with regard to the principles and guidelines of technical architecture, the required information was extracted from the selected articles and was analyzed with the method of open, axial, and selective coding. Following the steps of metasynthesis methods, the principles extracted with major and minor titles principles and guidelines in the form of multilayered system architecture including presentation layer, application layer, data layer, and technical infrastructure layer were classified. In the obtained framework, 15 indicators as the main principles and 66 subcriteria as the subsidiary principles for the design and technical architecture of enterprise dashboards were identified.
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Affiliation(s)
- Saeed Rouhani
- Faculty of Management, University of Tehran, Tehran, Iran
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Karami M. Development of key performance indicators for academic radiology departments. INTERNATIONAL JOURNAL OF HEALTHCARE MANAGEMENT 2016. [DOI: 10.1080/20479700.2016.1268350] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Mahtab Karami
- Department of Health Information Technology and Management, Health Information Management Research Center (HIMRC), School of Allied-Medical sciences, Kashan University of Medical Sciences, Kashan, Iran
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Karami M, Safdari R. From Information Management to Information Visualization: Development of Radiology Dashboards. Appl Clin Inform 2016; 7:308-29. [PMID: 27437043 DOI: 10.4338/aci-2015-08-ra-0104] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Accepted: 01/26/2016] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE The development and implementation of a dashboard of medical imaging department (MID) performance indicators. METHOD Several articles discussing performance measures of imaging departments were searched for this study. All the related measures were extracted. Then, a panel of imaging experts were asked to rate these measures with an open ended question to seek further potential indicators. A second round was performed to confirm the performance rating. The indicators and their ratings were then reviewed by an executive panel. Based on the final panel's rating, a list of indicators to be used was developed. A team of information technology consultants were asked to determine a set of user interface requirements for the building of the dashboard. In the first round, based on the panel's rating, a list of main features or requirements to be used was determined. Next, Qlikview was utilized to implement the dashboard to visualize a set of selected KPI metrics. Finally, an evaluation of the dashboard was performed. RESULTS 92 MID indicators were identified. On top of this, 53 main user interface requirements to build of the prototype of dashboard were determined. Then, the project team successfully implemented a prototype of radiology management dashboards into study site. The visual display that was designed was rated highly by users. CONCLUSION To develop a dashboard, management of information is essential. It is recommended that a quality map be designed for the MID. It can be used to specify the sequence of activities, their related indicators and required data for calculating these indicators. To achieve both an effective dashboard and a comprehensive view of operations, it is necessary to design a data warehouse for gathering data from a variety of systems. Utilizing interoperability standards for exchanging data among different systems can be also effective in this regard.
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Affiliation(s)
- Mahtab Karami
- Health Information Management Research Center (HIMRC), department of health information technology and management, School of Allied-Medical sciences, Kashan University of Medical Sciences , Kashan, Iran
| | - Reza Safdari
- Department of health information management, School of Allied-Medical sciences, Tehran University of Medical Sciences , Tehran, Iran
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Quality Measurements in Radiology: A Systematic Review of the Literature and Survey of Radiology Benefit Management Groups. J Am Coll Radiol 2015; 12:1173-81.e23. [DOI: 10.1016/j.jacr.2015.06.038] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Revised: 06/25/2015] [Accepted: 06/25/2015] [Indexed: 11/22/2022]
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Karami M, Torabi M. Value Innovation in Hospital: Increase Organizational IQ by Managing Intellectual Capitals. Acta Inform Med 2015; 23:57-9. [PMID: 25870494 PMCID: PMC4384878 DOI: 10.5455/aim.2015.23.57-59] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Accepted: 02/12/2015] [Indexed: 11/03/2022] Open
Abstract
Hospital is a complex organization rich in intellectual capitals. Effective management of these assets in line with innovating value to reach strategic goals and objectives can lead to increasing organizational IQ. In hospital with high organizational IQ, Increasing syntropy in intellectual capitals can convert it to an agile, learner, innovative, and smart organization.
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Affiliation(s)
- Mahtab Karami
- Health Information Management Department, School of Allied Medical Sciences, Kashan University of Medical Sciences, Kashan
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The Next Level of Radiology Peer Review: Enterprise-wide Education and Improvement. J Am Coll Radiol 2013; 10:349-53. [DOI: 10.1016/j.jacr.2012.12.014] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2012] [Accepted: 12/05/2012] [Indexed: 11/22/2022]
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Brandon CJ, Mullan PB. Teaching medical management and operations engineering for systems-based practice to radiology residents. Acad Radiol 2013; 20:345-50. [PMID: 23452480 DOI: 10.1016/j.acra.2012.09.025] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2011] [Revised: 09/16/2012] [Accepted: 09/18/2012] [Indexed: 10/27/2022]
Abstract
RATIONALE AND OBJECTIVES To better prepare radiology residents for providing care within the context of the larger health care system, this study evaluated the feasibility and impact of a curriculum to enhance radiology residents' understanding and ability to apply concepts from medical management and industrial and operational engineering to systems-based practice problems in radiology practice. MATERIALS AND METHODS A multiprofessional team including radiology, medical education, and industrial and operational engineering professionals collaborated in developing a seven-module curriculum, including didactic lectures, interactive large-group analysis, and small-group discussions with case-based radiology examples, which illustrated real-life management issues and the roles physicians held. Residents and faculty participated in topic selection. Pre- and post-instruction formative assessments were administered, and results were shared with residents during teaching sessions. RESULTS Attendance and participation in case-based scenario resolutions indicate the feasibility and impact of the interactive curriculum on residents' interest and ability to apply curricular concepts to systems-based practice in radiology. Paired t test analyses (P < .05) and effect sizes showed residents significantly increased their knowledge and ability to apply concepts to systems-based practice issues in radiology. CONCLUSIONS Our iterative curriculum development and implementation process demonstrated need and support for a multiprofessional team approach to teach management and operational engineering concepts. Curriculum topics are congruent with Accreditation Council for Graduate Medical Education requirements for systems-based practice. The case-based curriculum using a mixed educational format of didactic lectures and small-group discussion and problem analysis could be adopted for other radiology programs, for both residents and continuing medical education applications.
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Experience With a Practice Quality Improvement System in a University Radiology Department. J Am Coll Radiol 2012; 9:814-9. [DOI: 10.1016/j.jacr.2012.05.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2012] [Accepted: 05/10/2012] [Indexed: 11/18/2022]
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Jaskolka D, Brown N, Cohen E, Mounstephen W, Connolly B. Evaluating the implementation of a quality improvement initiative: weekend gastrojejunostomy tube maintenance service in a tertiary pediatric center. Can Assoc Radiol J 2012; 64:229-35. [PMID: 22503326 DOI: 10.1016/j.carj.2011.09.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2011] [Revised: 08/15/2011] [Accepted: 09/01/2011] [Indexed: 11/17/2022] Open
Affiliation(s)
- Diana Jaskolka
- Department of Diagnostic Imaging, The Hospital for Sick Children, 555 University Avenue, Toronto, Ontario, Canada
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Rubin DL. Informatics in radiology: Measuring and improving quality in radiology: meeting the challenge with informatics. Radiographics 2012; 31:1511-27. [PMID: 21997979 DOI: 10.1148/rg.316105207] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Quality is becoming a critical issue for radiology. Measuring and improving quality is essential not only to ensure optimum effectiveness of care and comply with increasing regulatory requirements, but also to combat current trends leading to commoditization of radiology services. A key challenge to implementing quality improvement programs is to develop methods to collect knowledge related to quality care and to deliver that knowledge to practitioners at the point of care. There are many dimensions to quality in radiology that need to be measured, monitored, and improved, including examination appropriateness, procedure protocol, accuracy of interpretation, communication of imaging results, and measuring and monitoring performance improvement in quality, safety, and efficiency. Informatics provides the key technologies that can enable radiologists to measure and improve quality. However, few institutions recognize the opportunities that informatics methods provide to improve safety and quality. The information technology infrastructure in most hospitals is limited, and they have suboptimal adoption of informatics techniques. Institutions can tackle the challenges of assessing and improving quality in radiology by means of informatics.
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Affiliation(s)
- Daniel L Rubin
- Department of Radiology, Stanford University, Richard M. Lucas Center, 1201 Welch Rd, Office P285, Stanford, CA 94305-5488, USA. dlrubin@ stanford.edu
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Rao VM, Levin DC. The Value-Added Services of Hospital-Based Radiology Groups. J Am Coll Radiol 2011; 8:626-30. [DOI: 10.1016/j.jacr.2011.03.007] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2011] [Accepted: 03/17/2011] [Indexed: 11/24/2022]
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Serapião PRB, Ribeiro EA, Porto GS, Galina SVR, Marques PMDA. O perfil Brasileiro de propriedade intelectual em radiologia e diagnóstico por imagem em um contexto internacional, nos anos 2000-2009. Radiol Bras 2011. [DOI: 10.1590/s0100-39842011000400009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
OBJETIVO: Analisar a inovação tecnológica brasileira na área de radiologia e diagnóstico por imagem, em termos de indicadores de patentes. MATERIAIS E MÉTODOS: Este é um estudo analítico-exploratório de informações recuperadas por meio de consultas cruzadas nas bases de dados dos escritórios de propriedade intelectual do Brasil (Instituto Nacional da Propriedade Industrial - INPI), dos Estados Unidos (United States Patent and Trademark Office - USPTO) e da Europa (European Patent Office - EPO). RESULTADOS: Foram encontradas 277.057 patentes. Desse total, 7.800 foram registradas no INPI (3%), 65.428 (24%) registradas no EPO e 203.829 (73%) emitidas no USPTO. O Brasil é o país signatário em 1.732 patentes publicadas no INPI, 80 no EPO e 26 no escritório USPTO. Globalmente, 219.993 (79%) patentes referiam-se a dispositivos eletrônicos ligados a informática em saúde, ultrassonografia, ressonância magnética, tomografia computadorizada e procedimentos de geração, comunicação e arquivamento de imagens, e 57.064 (21%) das patentes tratavam das tecnologias relacionadas a radioproteção e dosimetria, física nuclear, eletroterapia, terapia magnética e radioterapia. CONCLUSÃO: Os resultados obtidos apontam para a fragilidade da produção nacional de inovação tecnológica registrada em patentes, no campo de radiologia e diagnóstico por Imagem.
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Duszak R, Muroff LR. Measuring and Managing Radiologist Productivity, Part 2: Beyond the Clinical Numbers. J Am Coll Radiol 2010; 7:482-9. [DOI: 10.1016/j.jacr.2010.01.025] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2009] [Accepted: 01/29/2010] [Indexed: 11/26/2022]
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Steele JR, Hovsepian DM, Schomer DF. The Joint Commission Practice Performance Evaluation: A Primer for Radiologists. J Am Coll Radiol 2010; 7:425-30. [DOI: 10.1016/j.jacr.2010.01.027] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2009] [Accepted: 01/29/2010] [Indexed: 10/19/2022]
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Abujudeh HH, Kaewlai R, Asfaw BA, Thrall JH. Quality initiatives: Key performance indicators for measuring and improving radiology department performance. Radiographics 2010; 30:571-80. [PMID: 20219841 DOI: 10.1148/rg.303095761] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Key performance indicators (KPIs) are financial and nonfinancial measures that are used to define and evaluate the success of an organization. KPIs differ, depending on the nature of the organization and the organizational strategy; they are devised to help evaluate the progress of an organization toward achieving its long-term goals and fulfilling its vision. In healthcare organizations, performance assessment is especially critical for the development of best practices that can lead to improved outcomes in patient care, and KPIs have been incorporated into many healthcare management systems. In the future, radiology-specific KPIs such as those in use at the authors' institution may help provide a framework for measuring performance in radiology practice.
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Affiliation(s)
- Hani H Abujudeh
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, FND-220, Boston, MA 02114, USA.
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Introducing “Quality Matters”. J Am Coll Radiol 2010; 7:146-7. [DOI: 10.1016/j.jacr.2009.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2009] [Accepted: 10/02/2009] [Indexed: 11/22/2022]
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