Optimizing physicians' instruction of PACS through e-learning: cognitive load theory applied.

This article outlines the strategy used by our hospital to maximize the knowledge transfer to referring physicians on using a picture archiving and communication system (PACS). We developed an e-learning platform underpinned by the cognitive load theory (CLT) so that in depth knowledge of PACS' abilities becomes attainable regardless of the user's prior experience with computers. The application of the techniques proposed by CLT optimizes the learning of the new actions necessary to obtain and manipulate radiological images. The application of cognitive load reducing techniques is explained with several examples. We discuss the need to safeguard the physicians' main mental processes to keep the patient's interests in focus. A holistic adoption of CLT techniques both in teaching and in configuration of information systems could be adopted to attain this goal. An overview of the advantages of this instruction method is given both on the individual and organizational level.

[Do hospital physicians really want to go digital? --Acceptance of a picture archiving and communication system in a university hospital]. / Möchten Krankenhausärzte wirklich auf digitale Systeme umsteigen?--Die Akzeptanz gegenüber einem Bildarchivierungs- und Ubermittlungssystem in einer Universitätsklinik.

PURPOSE: Radiology departments are making the transition from analog film to digital images by means of PACS (Picture Archiving and Communication System). It is critical for the hospital that its physicians adopt and accept the new digital work method regarding radiological information. The aim of this study is to investigate hospital physicians' acceptance of PACS using questionnaires pre- and post-implementation and to identify main influencing factors. MATERIALS AND METHODS: The study was conducted in an 1169 bed university hospital. The UTAUT (Unified Theory of Acceptance and Use of Technology) questionnaire was administered at two times: one month pre-implementation (T1) and 1.5 years post-implementation (T2) of PACS, targeting all hospital physicians with the exemption of radiologists. The UTAUT scales (Behavioral Intention BI; Facilitating Conditions FC; Effort Expectancy EE; Performance Expectancy PE; Anxiety ANX; Social Influence SI; System Use USE; Attitude toward technology ATT; Self-Efficacy SE) were used to assess questions regarding: a) PACS' usefulness, b) PACS' ease of learning/using, c) PACS support availability, d) the perceived pressure to use PACS, e) physicians' attitude towards PACS and f) physicians' intention to use and actual use of PACS. RESULTS: At T 1 scale ratings were positive toward the PACS implementation. The ratings on all scales with the exception of self-efficacy improved at T 2. Regression analysis revealed that the key factor for intention to use PACS at T 1 was the usefulness of PACS, while the availability and awareness of support was its most important predictor at T 2. Overall, PE was the best predictor of BI, but all four UTAUT-determinants (PE, FC, EE and SI) were salient for its prediction. Variance explained in BI ranged from 31 to 37 % while variance explained in USE was very low (3 %). CONCLUSION: The implementation of PACS has succeeded. At T 1 the physicians were welcoming PACS and this was confirmed at T 2. Experience with PACS led to an overall improved attitude toward PACS. The key factors for physicians' intentions to use PACS were the usefulness of PACS (at T 1 and overall) and the availability of support (at T 2).

User acceptance of a picture archiving and communication system. Applying the unified theory of acceptance and use of technology in a radiological setting.

OBJECTIVE: The aim of this study is to gain insight into the individual user acceptance of PACS by the radiology department staff of the Ghent University Hospital. Hereto a basic--direct effects only--form of UTAUT was assessed. METHODS: Ninety-four questionnaires were distributed and 56 usable questionnaires were returned (19 radiologists - 37 technologists). The questionnaire consisted of scales of Venkatesh et al. [13] for performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), social influence (SI), self-efficacy (SE), attitude (ATT), anxiety (ANX) and behavioral intention (BI), and a scale of Moore et al. [22] to assess the perceived voluntariness of PACS-use. RESULTS: The reliability of all scales, except FC and voluntariness, was acceptable to good. The voluntariness scale was divided into a mandatoriness (MAN) and a voluntariness (VOL) measure. Both radiologists and technologists seem to welcome PACS, with radiologists having higher ratings on PE, EE, ATT, VOL and BI. Only PE and FC were salient for predicting BI, while EE and SI were not salient. Variance explained in behavioral intention to use PACS was 48%. CONCLUSION: Both radiologists and technologists were positive towards PACS and had strong intentions to use PACS. As other healthcare professionals, they appear to make their technology acceptance decision independent from their superiors, hereby focusing on usefulness rather than on ease of use. It is also important that support is supplied. Basic UTAUT is an adequate model to assess technology acceptance in a radiological setting.

Design and implementation of an open source indexing solution for a large set of radiological reports and images.

This paper hopes to share the insights we experienced during designing, building, and running an indexing solution for a large set of radiological reports and images in a production environment for more than 3 years. Several technical challenges were encountered and solved in the course of this project. One hundred four million words in 1.8 million radiological reports from 1989 to the present were indexed and became instantaneously searchable in a user-friendly fashion; the median query duration is only 31 ms. Currently, our highly tuned index holds 332,088 unique words in four languages. The indexing system is feature-rich and language-independent and allows for making complex queries. For research and training purposes it certainly is a valuable and convenient addition to our radiology informatics toolbox. Extended use of open-source technology dramatically reduced both implementation time and cost. All software we developed related to the indexing project has been made available to the open-source community covered by an unrestricted Berkeley Software Distribution-style license.