Maximizing system performance: using reconfigurability to monitor system communications

PurposeStarting from a broad-based needs assessment and utilizing an image analysis algorithm (IAA) developed at our institution, the purpose of this study was to define generalizable building blocks necessary for the integration of any IAA into a clinical practice.MethodsAn IAA was developed in our institution to process lymphoscintigraphy exams. A team of radiologists defined a set of building blocks for integration of this IAA into clinical workflow. The building blocks served the following roles: (1) Timely delivery of images to the IAA, (2) quality control, (3) IAA results processing, (4) results presentation & delivery, (5) IAA error correction, (6) system performance monitoring, and (7) active learning. Utilizing these modules, the lymphoscintigraphy IAA was integrated into the clinical workflow at our institution. System performance was tested over a 1 month period, including assessment of number of exams processed and delivered, and error rates and corrections.ResultsFrom June 26-July 27, 2019, the building blocks were used to integrate IAA results from 132 lymphoscintigraphy exams into the clinical workflow, representing 100% of the exams performed during the time period. The system enabled radiologists to correct 21 of the IAA results. All results and corrections were successfully stored in a database. A dashboard allowed the development team to monitor system performance in real-time.ConclusionsWe describe seven building blocks that optimize the integration of IAAs into clinical workflow. The implementation of these building blocks in this study can be used to inform development of more robust, standards-based solutions.

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Human-initiated malfunctions and system performance evaluation.

PsycEXTRA Dataset ◽

10.1037/e459282004-001 ◽

1962 ◽

Cited By ~ 1

Author(s):

Roger C. Van Buskirk ◽

Walter J. Huebner

Keyword(s):

Performance Evaluation ◽

System Performance ◽

System Performance Evaluation

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The relationship of a retinal-gain index to system performance.

PsycEXTRA Dataset ◽

10.1037/e462022004-001 ◽

1960 ◽

Author(s):

S. Seidenstein ◽

R. Chernikoff ◽

F. V. Taylor

Keyword(s):

System Performance ◽

Relationship Of ◽

The Relationship

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The use of event-related potentials in the enhancement of system performance

PsycEXTRA Dataset ◽

10.1037/e506152009-011 ◽

1976 ◽

Cited By ~ 1

Author(s):

Christopher Wickens ◽

Jack Isreal ◽

Gregory McCarthy ◽

Daniel Gopher ◽

Emanuel Donchin

Keyword(s):

System Performance ◽

Event Related Potentials ◽

Related Potentials

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Study of 1024-QAM system performance in the presence of filtering imperfections

IEE Proceedings I (Communications Speech and Vision) ◽

10.1049/ip-i-2.1989.0024 ◽

1989 ◽

Vol 136 (2) ◽

pp. 175-179 ◽

Cited By ~ 3

Author(s):

P. Mathiopoulos ◽

H. Ohnishi ◽

K. Feher

Keyword(s):

System Performance

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Effects of Observer Variation on Performance in Probabilistic Diagnosis of Jaundice

Methods of Information in Medicine ◽

10.1055/s-0038-1635304 ◽

1981 ◽

Vol 20 (03) ◽

pp. 163-168 ◽

Cited By ~ 3

Author(s):

G. Llndberg

Keyword(s):

Physical Examination ◽

System Performance ◽

Transition Matrix ◽

Bayes Theorem ◽

Observer Variation ◽

Kappa Statistics ◽

Diagnostic Categories ◽

Number Of Patients ◽

Probability Transition Matrix ◽

Probabilistic Diagnosis

A system for probabilistic diagnosis of jaundice has been used for studying the effects of taking into account the unreliability of diagnostic data caused by observer variation. Fourteen features from history and physical examination were studied. Bayes’ theorem was used for calculating the probabilities of a patient’s belonging to each of four diagnostic categories.The construction sample consisted of 61 patients. An equal number of patients were tested in the evaluation sample. Observer variation on the fourteen features had been assessed in two previous studies. The use of kappa-statistics for measuring observer variation allowed the construction of a probability transition matrix for each feature. Diagnostic probabilities could then be calculated with and without the inclusion of weights for observer variation. Tests of system performance revealed that discriminatory power remained unchanged. However, the predictions rendered by the variation-weighted system were diffident. It is concluded that taking observer variation into account may weaken the sharpness of probabilistic diagnosis but it may also help to explain the value of probabilistic diagnosis in future applications.

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KINERJA iLEARNING RAHARJA ASK AND NEWS (IRAN) DALAM MENDUKUNG KEGIATAN TRIDHARMA IDUHELP!

CCIT Journal ◽

10.33050/ccit.v8i1.270 ◽

2014 ◽

Vol 8 (1) ◽

pp. 18-33

Author(s):

Untung Rahardja ◽

Meta Amalya Dewi ◽

Fitri Lisnawati

Keyword(s):

Information Technology ◽

System Performance ◽

Communication Media ◽

Related Method ◽

Literature Reviews ◽

The World ◽

Information And Communication ◽

System Requirements ◽

Three Stages ◽

Care System

Advances in information technology and communications which we achieve now actually been recognized and felt in the world of education in general. Currently College Prog implement a Tridharma terms Tridharma iDuHelp!. Tridharma is one of the basic responsibilities that students must be developed simultaneously and together. In this Tridharma still there are problems in the system iDuHelp! service. So IRAN (iLearning Prog Ask and News) in collaboration with iDuHelp! in providing answers and information needed by the student. In its application in Tridharma iDuHelp! IRAN There is a related method in it, such as iLearning methods that are currently being developed. With iLearning method can facilitate conduct research in detail, accurately, and clearly by using mindmapping. Besides the method of analysis is also done with three stages namely the identification of the problem, identifying needs, and identifying system requirements. In this study using 4 literature reviews that can be used as references in preparing this paper. In this article explained about the problems that arise and solving problems in accurately using the flow Flowchart. In the implementation of the prototype shown iDuHelp! As well as the performance of Iran. So the end result of the study is a system performance to information and communication media of Iran can maximize iDuHelp! care system It is widely integrated in a university.

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