Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
Add more filters










Database
Language
Publication year range
1.
Radiographics ; 20(3): 883-91, 2000.
Article in English | MEDLINE | ID: mdl-10835134

ABSTRACT

An interface was created between the Department of Defense's hospital information system (HIS) and its two picture archiving and communication system (PACS)-based radiology information systems (RISs). The HIS is called the Composite Healthcare Computer System (CHCS), and the RISs are called the Medical Diagnostic Imaging System (MDIS) and the Digital Imaging Network (DIN)-PACS. Extensive mapping between dissimilar data protocols was required to translate data from the HIS into both RISs. The CHCS uses a Health Level 7 (HL7) protocol, whereas the MDIS uses the American College of Radiology-National Electrical Manufacturers Association 2.0 protocol and the DIN-PACS uses the Digital Imaging and Communications in Medicine (DICOM) 3.0 protocol. An interface engine was required to change some data formats, as well as to address some nonstandard HL7 data being output from the CHCS. In addition, there are differences in terminology between fields and segments in all three protocols. This interface is in use at 20 military facilities throughout the world. The interface reduces the amount of manual entry into more than one automated system to the smallest level possible. Data mapping during installation saved time, improved productivity, and increased user acceptance during PACS implementation. It also resulted in more standardized database entries in both the HIS (CHCS) and the RIS (PACS).


Subject(s)
Hospital Information Systems , Radiology Information Systems/instrumentation , User-Computer Interface , Computer Systems , Database Management Systems/instrumentation , Humans , Medical Records Systems, Computerized/instrumentation
2.
J Digit Imaging ; 13(2 Suppl 1): 33-8, 2000 May.
Article in English | MEDLINE | ID: mdl-10847358

ABSTRACT

We have assessed the effect of 10:1 lossy (JPEG) compression on six board-certified radiologists' ability to detect three commonly seen abnormalities on chest radiographs. The study radiographs included 150 chest radiographs with one of four diagnoses: normal (n = 101), pulmonary nodule (n = 19), interstitial lung disease (n = 19), and pneumothorax (n = 11). Before compression, these images were printed on laser film and interpreted in a blinded fashion by six radiologists. Following an 8-week interval, the images were reinterpreted on an image display workstation after undergoing 10:1 lossy compression. The results for the compressed images were compared with those of the uncompressed images using receiver operating characteristic (ROC) analyses. For five of six readers, the diagnostic accuracy was higher for the uncompressed images than for the compressed images, but the difference was not significant (P > .1111). Combined readings for the uncompressed images were also more accurate when compared with the compressed images, but this difference was also not significant (P = .1430). The sensitivity, specificity, and accuracy values were 81.5%, 89.2%, and 86.7% for the compressed images, respectively, as compared with 78.9%, 94.5%, and 89.3% for the uncompressed images. There was no correlation between the readers' accuracy and their experience with soft-copy interpretation; the extent of radiographic interpretation experience had no correlation with overall interpretation accuracy. In conclusion, five of six radiologists had a higher diagnostic accuracy when interpreting uncompressed chest radiographs versus the same images modified by 10:1 lossy compression, but this difference was not statistically significant.


Subject(s)
Image Processing, Computer-Assisted , Pneumothorax/diagnostic imaging , Pulmonary Fibrosis/diagnostic imaging , Radiology Information Systems , Solitary Pulmonary Nodule/diagnostic imaging , Humans , ROC Curve , Radiography , Reproducibility of Results
3.
J Digit Imaging ; 12(2 Suppl 1): 59-61, 1999 May.
Article in English | MEDLINE | ID: mdl-10342167

ABSTRACT

Prior to June 1997, military picture archiving and communications systems (PACS) were planned, procured, and installed with key decisions on the system, equipment, and even funding sources made through a research and development office called Medical Diagnostic Imaging Systems (MDIS). Beginning in June 1997, the Joint Imaging Technology Project Office (JITPO) initiated a collaborative and consultative process for planning and implementing PACS into military treatment facilities through a new Department of Defense (DoD) contract vehicle called digital imaging networks (DIN)-PACS. The JITPO reengineered this process incorporating multiple organizations and politics. The reengineered PACS process administered through the JITPO transformed the decision process and accountability from a single office to a consultative method that increased end-user knowledge, responsibility, and ownership in PACS. The JITPO continues to provide information and services that assist multiple groups and users in rendering PACS planning and implementation decisions. Local site project managers are involved from the outset and this end-user collaboration has made the sometimes difficult transition to PACS an easier and more acceptable process for all involved. Corporately, this process saved DoD sites millions by having PACS plans developed within the government and proposed to vendors second, and then having vendors respond specifically to those plans. The integrity and efficiency of the process have reduced the opportunity for implementing nonstandard systems while sharing resources and reducing wasted government dollars. This presentation will describe the chronology of changes, encountered obstacles, and lessons learned within the reengineering of the PACS process for DIN-PACS.


Subject(s)
Computer Communication Networks , Diagnostic Imaging , Radiology Information Systems , Administrative Personnel , Biomedical Engineering , Capital Financing , Computer Communication Networks/classification , Computer Communication Networks/economics , Computer Communication Networks/organization & administration , Computer User Training , Cost Savings , Decision Making , Efficiency, Organizational , Humans , Inservice Training , Interprofessional Relations , Military Medicine , Ownership , Radiology Information Systems/classification , Radiology Information Systems/economics , Radiology Information Systems/organization & administration , Systems Integration
4.
J Digit Imaging ; 12(2 Suppl 1): 163-5, 1999 May.
Article in English | MEDLINE | ID: mdl-10342200

ABSTRACT

An integrated picture archiving and communication system (PACS) is a large investment in both money and resources. With all of the components and systems contained in the PACS, a methodical set of protocols and procedures must be developed to test all aspects of the PACS within the short time allocated for contract compliance. For the Department of Defense (DoD), acceptance testing (AT) sets the protocols and procedures. Broken down into modules and test procedures that group like components and systems, the AT protocol maximizes the efficiency and thoroughness of testing all aspects of an integrated PACS. A standardized and methodical protocol reduces the probability of functionality or performance limitations being overlooked. The AT protocol allows complete PACS testing within the 30 days allocated by the digital imaging network (DIN)-PACS contract. AT shortcomings identified during the testing phase properly allows for resolution before complete acceptance of the system. This presentation will describe the evolution of the process, the components of the DoD AT protocol, the benefits of the AT process, and its significance to the successful implementation of a PACS. This is a US government work. There are no restrictions on its use.


Subject(s)
Diagnostic Imaging , Radiology Information Systems , Computer Systems , Data Display , Efficiency, Organizational , Government Agencies , Health Resources , Hospital Information Systems , Humans , Investments , Quality Control , Radiology Information Systems/classification , Radiology Information Systems/economics , Radiology Information Systems/instrumentation , Radiology Information Systems/standards , Software , Systems Integration , Time Factors
SELECTION OF CITATIONS
SEARCH DETAIL
...