The AAMC Curriculum Management & Information Tool (CurrMIT) is a relational database containing curriculum information from medical schools throughout the United States and Canada. CurrMIT can be used to document details of instruction, such as outcome objectives, resources, content, educational methods, assessment methods, and educational sites, which are being employed in curricula. CurrMIT contains basic information about nearly all required courses and clerkships being offered in the United States and Canada. The database contains descriptions of more than 15,000 courses and clerkships; approximately 115,000 "sessions"--e.g., lectures, labs, small-group discussions--and more than 400,000 keywords and word strings documenting the specific details of instruction associated with the courses, clerkships, and sessions. Some specific uses that schools have made of CurrMIT include review of demographics among patient cases being used in a case-based curriculum; comparisons of educational experiences between two geographically separate clinical campuses; and identification of unplanned redundancies and gaps in curricular content. CurrMIT has been designed to accommodate data from virtually any medical school curriculum; "traditional 2+2" curricula, problem-based curricula, and systems-based curricula, and variations of each of these, have been entered in CurrMIT by medical schools. The authors give an overview of the technology upon which the system is built and the training materials and workshops that the AAMC provides to faculty to support CurrMIT's use, and end by describing enhancements being planned for the system.
[Show abstract][Hide abstract] ABSTRACT: Assessing the completeness of topic coverage in medical curricula is difficult to establish as no universal standard for completeness has been agreed upon. However, the United States Medical Licensing Examination (USMLE) Step 1 Exam Content Outline may provide a beginning framework. This project developed a computer-based tool that matched ArizonaMed curriculum content (Tucson track) against a modified USMLE content outline. The project involved three phases: (1) the USMLE Step 1 content outline was deconstructed and translated using equivalent Medical Subject Heading (MeSH) terms; (2) a report was made of all MeSH terms used to identify the content in the ArizonaMed curriculum database, compared to the MeSH-modified USMLE outline, and the resulting matches are graphically expressed. The frequency with which each MeSH term appeared across the years also was reported; and (3) a retreat was held with faculty and others to ensure the MeSH-translated outline was accurate and complete. Faculty were able to visualize how content was being expressed among instructional blocks across the first two years. Results also assured faculty and students that all subjects contained in the USMLE content outline were covered in the curriculum. The success of this effort is leading to improvements in content-tracking capability for the ArizonaMed database.
Medical Teacher 10/2012; 34(10):e666-75. DOI:10.3109/0142159X.2012.687477 · 1.68 Impact Factor
"The needs of the target audiences will evolve over time; a mechanism to regularly gather this information for use to update the curriculum should be included in curriculum maintenance [7,18]. Repeated needs assessments are likely to reveal unanticipated needs, and if acted upon will improve the curriculum . In a sense, curriculum evaluation, defined as the final step of curriculum development, can include an evaluation of the needs of current users, and serve as a needs assessment for the next iteration of the curriculum. "
[Show abstract][Hide abstract] ABSTRACT: The Internet provides a means of disseminating medical education curricula, allowing institutions to share educational resources. Much of what is published online is poorly planned, does not meet learners' needs, or is out of date.
Applying principles of curriculum development, adult learning theory and educational website design may result in improved online educational resources. Key steps in developing and implementing an education website include: 1) Follow established principles of curriculum development; 2) Perform a needs assessment and repeat the needs assessment regularly after curriculum implementation; 3) Include in the needs assessment targeted learners, educators, institutions, and society; 4) Use principles of adult learning and behavioral theory when developing content and website function; 5) Design the website and curriculum to demonstrate educational effectiveness at an individual and programmatic level; 6) Include a mechanism for sustaining website operations and updating content over a long period of time.
Interactive, online education programs are effective for medical training, but require planning, implementation, and maintenance that follow established principles of curriculum development, adult learning, and behavioral theory.
BMC Medical Education 04/2010; 10(1):30. DOI:10.1186/1472-6920-10-30 · 1.22 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: We have developed an online predefined knowledge-based decision support system for AMID (Thailand) Ltd. It is a single interactive, computer based decision-making system for a large variety of operations, tasks, and conditions, which don't require special programming skills for maintenance. AMD is dealing in the manufacture of flash memory with a variety of devices. Each device has several common or device specific rules. Each production lot has to pass through a series of different engineering rules to get released. Each rule is defined by an experienced engineer and shared in a centralized common database. Each device has got a different program as per the type of package and the type of booting. If we combine all variables the scenario will become very complicated. For e.g. Millions of flash memory/week, thousands of lots/week, hundreds of test program, devices, packages and a series of common and device specific rules of each device to be applied on each lot. The system has to make several calculations on production data to validate each rule applied on that device. Secondly, the fault diagnosis and the decisions should come online immediately after such an event. The system has proved to be an error free system and the best decision making tool on production environment; so this paper describes a deep-knowledge base management and use of online decision support system shell for diagnosing faults in manufacturing operations of the semiconductor Industry with real world application.
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