Medical Education Research Group

During their first two years at Leicester Medical School, undergraduate students observe two patients and submit a 10,000 word dissertation on the medical condition, treatment, and social context of the patient. To support this, in the students' second semester, Information Librarians at the University of Leicester run embedded teaching sessions showing the students how to find information for good medical evidence, using a range of online databases and information resources.

A long list with links to mindmapping software

Flowchart.com is an online multi-user, real-time collaboration flowchart software. It's Flowcharting made easy.

A manual specifically for medical research evaluation. Sponsored by a pharmaceutical company so may have issues.

A UK learning module about critically appraising research studies.

Based on these findings, streaming video technology
seems to be a viable tool to complement in-class delivery methods, to accommodate the needs of
medical students, and to provide options for meeting the challenges of delivering the undergraduate
medical curriculum.

...[Int J Med Inform. 2009] - PubMed Result

Within3 is the private professional networking site exclusively for health and life science practitioners to find, connect and collaborate with the right colleague, right now.

New knowledge is rapidly altering the basic sciences that are fundamental to the practice of medicine. To address this concern, the Association of American Medical Colleges and the Howard Hughes Medical Institute convened a group of scientists, physicians, and science educators to identify the essential scientific background physicians in the 21st century will need. The resulting report, Scientific Foundations for Future Physicians, lays out a series of scientific competencies that students must master prior to attending medical school and medical students must understand upon completion of their M.D..

This wiki collects information about tools and resources that can help scholars (particularly in the humanities and social sciences) conduct research more efficiently or creatively. Whether you need software to help you manage citations, author a multimedia work, or analyze texts, Digital Research Tools will help you find what you're looking for. We provide a directory of tools organized by research activity, as well as reviews of select tools in which we not only describe the tool's features, but also explore how it might be employed most effectively by researchers.

Faculty of 1000 Medicine is a unique online service that helps you stay informed of high impact articles and access the opinions of global leaders in medicine.

Its distinguished faculty of over 2400 of the world's top clinicians and researchers select, rate and evaluate the most important and influential articles, presenting a continuously updated, authoritative guide to the medical literature that matters

Presentation friendly colour scheme options - look for the lcd projector image, if its crossed out then the scheme isn't a good choice for your presentation

he principle aim of the NHS Evidence service is to provide easy access to a comprehensive evidence base for everyone in health and social care who takes decisions about treatments or the use of resources - including clinicians, public health professionals, commissioners and service managers - thus improving health and patient care. It will build on NICE's significant international reputation for developing high quality evidence-based guidance. It provides access to a range of information types, including primary research literature, practical implementation tools, guidelines and policy documents.

Title

* MRC Psycholinguistic Database Machine Usable Dictionary [Electronic resource] : expanded Shorter Oxford English Dictionary entries / Max Coltheart and Michael Wilson

Author Coltheart, M. (Max), 1939-; Wilson, Michael John, 1939-
Availability Freely available for non-commercial use provided that this header is included in its entirety with any copy distributed.

This resource is freely available, you should be able to download it now.
Languages English;
Editorial Practice

* Encoding format: MS Word and UNIX

OTA keywords Dictionaries
LC keywords Psycholinguistics -- Dictionaries
Extent

* designation: Text data
* size: (16 files : ca. 12.5 megabytes)

Creation Date [198?]
Source Description MRC Psycholinguistic Database Machine Usable Dictionary : expanded Shorter Oxford English Dictionary entries Coltheart, M. (Max), 1939-; Wilson, Michael John, 1939- s.n. s.l.: s.d [Note: For additional information see: Coltheart, Max.--"MRC Psycholinguistic database" in Quarterly Journal of Experimental Psychology 33A (1981):497-505.--Catalogued on RLIN]
Notes

* Mode of access: Offline. Application to OTA
* Title proper taken from electronic text

Reading is characterized by the successful coor- dination of a number of concurrent processing layers (Pressley & Afflerbach, 1995). Many pro- I cessing activities occur automatically for the ex- perienced reader, such as lexical access, anaphor resolution (deciding to whom the author refers), and proposition integration. Others require the allocation of conscious attention, for instance, when elaborating on text meaning or when generating bridging inferences to integrate meanings across paragraphs (Kintsch, 1993). Although reading requires a coordination between auto- matic and attention-demanding (control) processing activ- ities, existent models of reading provide at best only a partial understanding of how the two processing types interact.

Medical Text Indexer (MTI)

The SPECIALIST Natural Language Processing (NLP) Tools have been developed by the The Lexical Systems Group of The Lister Hill National Center for Biomedical Communications to investigate the contributions that natural language processing techniques can make to the task of mediating between the language of users and the language of online biomedical information resources. The SPECIALIST NLP Tools facilitate natural language processing by helping application developers with lexical variation and text analysis tasks in the biomedical domain. The NLP Tools are open source resources distributed subject to these terms and conditions.

Clinical Document Collection:
A collection of 7673 initial visit notes was obtained from the Columbia University Medical Center Milstein Hospitalist Service. This includes all resident and attending initial visit notes and initial consult notes for inpatient admissions of all types from late 2006 through early 2007. They are not filtered and should therefore be representative of all patients admitted to the Hospitalist Service. All notes from the Service are entered through semi-structured entry templates in a system called eNote11. PMH was entered into a coded field in eNote templates, but as free text within that field. The advantage for this analysis was that these lists were in the doctor's own words without any limits on structure or content imposed by the information system. The notes were stored using the Clinical Document Architecture (CDA) XML schema. This allowed for a simple XSL transformation to filter protected health information (PHI) and convert sections of interest to text. A small Java application was written to perform this XSLT on each document and do basic preprocessing to prepare the text for natural language processing analysis.
Data Preparation:
The corpus was then parsed with the MedLEE natural language processor12 to obtain the semantic structure and UMLS codes of concepts represented in these notes.
MedLEE output was generated as XML and a Java postprocessor was used to validate the XML output. Each note section was divided into a text section with numbered phrase tags around identifiable phrases and a structured element containing references describing the tagged phrases. Reference tags were named with the phrase's semantic type. MedLEE assigned a UMLS code to the phrase whenever it could map the clinical information detected to known UMLS concepts. MedLEE results were then merged into one large XML file to facilitate querying across all documents with XQuery.