- From: Boyce, Richard David <rdb20@pitt.edu>
- Date: Mon, 25 Feb 2019 17:42:08 +0000
- To: "public-semweb-lifesci@w3.org" <public-semweb-lifesci@w3.org>, "public-hclscg@w3.org" <public-hclscg@w3.org>
Sorry for one more email --- it was pointed out to me that the version on the public server was not current. The correct version is now out there and dated 25 February 2019: https://dbmi-icode-01.dbmi.pitt.edu/dikb-evidence/hcls-drug-drug-interaction/index.html Alternatively, you can view it locally on your machine after downloading it from github: https://github.com/w3c/hcls-drug-drug-interaction/ -R On 2/25/19 12:35 PM, Richard Boyce wrote: > My apologies for providing the wrong link to the draft note. Here is > the correct one: > > https://dbmi-icode-01.dbmi.pitt.edu/dikb-evidence/hcls-drug-drug-interaction/index.html > > > > -R > > On 2/23/19 1:51 PM, Richard Boyce wrote: >> Hello, >> >> Would anyone interested please take a look at our draft Semantic Web >> in Health Care and Life Sciences Community Group Report? It is >> titled "Minimum Representation of Potential Drug-Drug Interaction >> Knowledge and Evidence - Technical and User-centered Foundation >> Specification." The abstract of this Report is copied below. The >> Report is the culmination of more than 2 years of effort by a >> volunteer multidisciplinary task force. We feel that this is very >> close to being ready to publish. >> >> The full draft of the note is located here: >> >> http://localhost/~rdb20/hcls-drug-drug-interaction/ >> >> Feel free to email feedback to this list or post issues on the >> project's github: https://github.com/w3c/hcls-drug-drug-interaction/ >> >> Abstract: >> >> The purpose of this Community Group Note is to provide a technical >> and user-centered foundation for a minimum information model for >> information about potential drug-drug interactions. The Note provides >> non-ambigous definitions for 10 core information items. It also >> provides 8 detailed best practice recommendations related to the 10 >> core information items. The definitions and recommendations are shown >> as both narrative and prototype JSON artifacts using 2 exemplar >> potential drug-drug interactions. Adoption of the recommendations by >> developers of PDDI knowledge artifacts will improve the usefulness of >> the artifacts within clinical workflows. Intended downstream >> applications include clinical decision support, drug product label >> enhancement, cohort identification, and other activities relevant to >> protecting patients from harm from drug interactions. >> >> > -- Richard D Boyce, PhD Associate Professor of Biomedical Informatics and Clinical and Translational Science in the Clinical and Translational Science Institute Director of the Informatics Core for the Center of Excellence for Natural Product- Drug Interaction Research (NaPDI) Faculty, Center for Pharmaceutical Policy and Prescribing Faculty, Geriatric Pharmaceutical Outcomes and Gero-Informatics Research and Training Program University of Pittsburgh rdb20@pitt.edu Office: 412-648-9219 Twitter: @bhaapgh
Received on Monday, 25 February 2019 17:42:33 UTC