Limitations in and Solutions for Improving the Functionality of Picture Archiving and Communication System: an Exploratory Study of PACS Professionals' Perspectives

Overview

Journal J Digit Imaging

Publisher Springer

Specialties Medical Informatics
Radiology

Date 2018 Sep 19

PMID 30225824

Citations 9

Authors

Mona Alhajeri

Syed Ghulam Sarwar Shah

Affiliations

Soon will be listed here.

Abstract

Picture Archiving and Communication System (PACS) technology is evolving leading to improvements in the PACS functionality. However, the needs and expectations of PACS users are increasing to cope with the rising demands for improving the workflow and enhancing efficiency in healthcare. The aim was to study the limitations in the current generation of PACS and solutions for improving PACS functionality. This was a longitudinal online observational study of the perspectives of PACS professionals accessed through four online discussion groups on PACS using the LinkedIn network. In this exploratory study, the methodology involved a thematic analysis of qualitative data comprising 250 online posts/comments made by 124 unique PACS professionals collected between January 2014 and December 2015. Participants were mostly male (n = 119, 96%) from the North America (n = 88, 71%). Key themes on limitations in the current generation of PACS were image transmission problems, network and hardware issues, difficulties in changing specific settings, issues in hardcoded Digital Imaging and Communication in Medicine attributes, and problems in implementing open source PACS. Main themes on solutions for improving PACS functionality were the integration of multisite PACS, multimedia for PACS, web-based PACS, medical image viewer, open source PACS, PACS on mobile phones, vendor neutral archives for PACS, speech recognition and integration in PACS, PACS backup and recovery, and connecting PACS with other hospital systems. Despite ongoing technological developments, the current generation of PACS has limitations that affect PACS functionality leading to unmet needs and requirements of PACS users, which could impact workflow and efficiency in healthcare.

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References

Hwang I, Lee K, Park S, Chanthanoulay S, Sisavanh M, Rajpho V . The first picture archiving and communication system in Lao People's Democratic Republic: Changes in the utilization rate of imaging tests in the first year after implementation. Int J Med Inform. 2016; 94:31-8. DOI: 10.1016/j.ijmedinf.2016.06.016. View

MacKinnon A, Billington R, Adam E, Dundas D, Patel U . Picture archiving and communication systems lead to sustained improvements in reporting times and productivity: results of a 5-year audit. Clin Radiol. 2008; 63(7):796-804. DOI: 10.1016/j.crad.2007.12.015. View

Sixsmith J, Murray C . Ethical issues in the documentary data analysis of Internet posts and archives. Qual Health Res. 2001; 11(3):423-32. DOI: 10.1177/104973201129119109. View

Huang H . Short history of PACS. Part I: USA. Eur J Radiol. 2011; 78(2):163-76. DOI: 10.1016/j.ejrad.2010.05.007. View

Duerinckx A . Introduction and the PACS '82 panel discussions: Panel 1--Equipment manufacturers' view on PACS and Panel 2--The medical community's view on PACS. 1982. J Digit Imaging. 2003; 16(1):32-68; discussion 29-31. PMC: 3045117. DOI: 10.1007/s10278-002-6010-0. View

Joshi V, Narra V, Joshi K, Lee K, Melson D . PACS administrators' and radiologists' perspective on the importance of features for PACS selection. J Digit Imaging. 2014; 27(4):486-95. PMC: 4090402. DOI: 10.1007/s10278-014-9682-3. View

Inamura K, Kousaka S, Yamamoto Y, Sukenobu Y, Okura Y, Matsumura Y . PACS development in Asia. Comput Med Imaging Graph. 2003; 27(2-3):121-8. DOI: 10.1016/s0895-6111(02)00085-x. View

Costa C, Ferreira C, Bastiao L, Ribeiro L, Silva A, Oliveira J . Dicoogle - an open source peer-to-peer PACS. J Digit Imaging. 2010; 24(5):848-56. PMC: 3180530. DOI: 10.1007/s10278-010-9347-9. View

Adair C, Marcoux G, Williams A, Reimer M . The Internet as a source of data to support the development of a quality-of-life measure for eating disorders. Qual Health Res. 2006; 16(4):538-46. DOI: 10.1177/1049732305285850. View

10.

Top M . Physicians' views and assessments on picture archiving and communication systems (PACS) in two Turkish public hospitals. J Med Syst. 2012; 36(6):3555-62. DOI: 10.1007/s10916-012-9831-5. View

11.

Ratib O, Roduit N, Nidup D, de Geer G, Rosset A, Geissbuhler A . PACS for Bhutan: a cost effective open source architecture for emerging countries. Insights Imaging. 2016; 7(5):747-53. PMC: 5028341. DOI: 10.1007/s13244-016-0512-7. View

12.

van de Wetering R, Batenburg R . Towards a theory of PACS deployment: an integrative PACS maturity framework. J Digit Imaging. 2014; 27(3):337-50. PMC: 4026462. DOI: 10.1007/s10278-013-9671-y. View

13.

. Lack of confidentiality with the Picture Archiving and Communication System (PACS). J R Soc Med. 2004; 97(9):455. PMC: 1079603. DOI: 10.1177/014107680409700925. View

14.

Ratib O, Rosset A, Heuberger J . Open Source software and social networks: disruptive alternatives for medical imaging. Eur J Radiol. 2011; 78(2):259-65. DOI: 10.1016/j.ejrad.2010.05.004. View

15.

Sevenster M, Travis A, Ganesh R, Liu P, Kose U, Peters J . Improved efficiency in clinical workflow of reporting measured oncology lesions via PACS-integrated lesion tracking tool. AJR Am J Roentgenol. 2015; 204(3):576-83. DOI: 10.2214/AJR.14.12915. View

16.

Fox M, Aschkenasi C, Kalyanpur A . Voice recognition is here comma like it or not period. Indian J Radiol Imaging. 2013; 23(3):191-4. PMC: 3843322. DOI: 10.4103/0971-3026.120252. View

17.

Hanft K . Lean hospitals: improving quality, patient safety, and employee engagement 2nd edition. HERD. 2014; 7(1):124-5. DOI: 10.1177/193758671300700111. View

18.

Zheng K, Padman R, Johnson M, Diamond H . An interface-driven analysis of user interactions with an electronic health records system. J Am Med Inform Assoc. 2008; 16(2):228-37. PMC: 2649313. DOI: 10.1197/jamia.M2852. View

19.

Strickland N . PACS (picture archiving and communication systems): filmless radiology. Arch Dis Child. 2000; 83(1):82-6. PMC: 1718393. DOI: 10.1136/adc.83.1.82. View

20.

Seale C, Charteris-Black J, Macfarlane A, McPherson A . Interviews and internet forums: a comparison of two sources of qualitative data. Qual Health Res. 2009; 20(5):595-606. DOI: 10.1177/1049732309354094. View