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Showing results for "ehrs".
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161. Using mutual information clustering to discover food allergen cross-reactivity. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/using
     January 01, 2023 - Investigator Zhou, Li Project Name Encoding and Processing Patient Allergy Information in EHRs

162. Epidemiology of ACE inhibitor angioedema utilizing a large electronic health record. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/epidemiology
     January 01, 2023 - Investigator Zhou, Li Project Name Encoding and Processing Patient Allergy Information in EHRs

163. Towards improved drug allergy alerts: multidisciplinary expert recommendations. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/towards
     January 01, 2023 - Investigator Zhou, Li Project Name Encoding and Processing Patient Allergy Information in EHRs

164. Rising drug allergy alert overrides in electronic health records: an observational retrospective study of a decade of experience. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/rising
     January 01, 2023 - Investigator Zhou, Li Project Name Encoding and Processing Patient Allergy Information in EHRs

165. Food entries in a large allergy data repository. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/food
     January 01, 2023 - Investigator Zhou, Li Project Name Encoding and Processing Patient Allergy Information in EHRs

166. Clinicians' reports in electronic health records versus patients' concerns in social media: a pilot study of adverse drug reactions of aspirin and atorvastatin. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/clinicians
     January 01, 2023 - Investigator Zhou, Li Project Name Encoding and Processing Patient Allergy Information in EHRs

167. Standard information models for representing adverse sensitivity information in clinical documents. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/standard
     January 01, 2023 - Investigator Zhou, Li Project Name Encoding and Processing Patient Allergy Information in EHRs

168. A value set for documenting adverse reactions in electronic health records. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/value
     January 01, 2023 - Investigator Zhou, Li Project Name Encoding and Processing Patient Allergy Information in EHRs

169. High override rate for opioid drug-allergy interaction alerts: current trends and recommendations for future. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/high
     January 01, 2023 - Investigator Zhou, Li Project Name Encoding and Processing Patient Allergy Information in EHRs

170. Automated misspelling detection and correction in clinical free-text records. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/automated
     January 01, 2023 - Investigator Zhou, Li Project Name Encoding and Processing Patient Allergy Information in EHRs

171. Developing and Using Valid Clinical Quality Metrics for Health Information Technology (Health IT) with Health Information Exchange (HIE) | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/developing-and-using-valid-clinical-quality-metrics-health-information
     January 01, 2023 - care metrics able to be reliably retrieved from electronic systems, such as electronic health records (EHRs … Metrics which can be derived from EHRs and HIEs must be identified and developed, and their validity … The team successfully developed a quality metric set which captures data from EHRs with HIEs.

172. Developing and Testing Quality Measures for Interoperable Electronic Health Records (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/final-kaushal-story-7-6-12.pdf
     June 16, 2021 - Electronic health records (EHRs) that are interoperable, having the ability to exchange information … Health (HITECH) Act that provided funding and incentives for providers who achieved meaningful use of EHRs … The law motivates and supports the use of EHRs for quality measurement and data exchange across organizations … As EHRs evolve, and the ability of organizations to exchange clinical information improves, there will

173. McPheeters, Melissa | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/mcpheeters-melissa
     January 01, 2023 - McPheeters, Melissa Core Functionality for Pediatric EHRs Description

174. Health Information Technology and Provider Communication | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/evaluation-resources/health-it-survey-compendium/health-information
     January 01, 2023 - clinical decision support systems, hardware, mobile devices, secure messaging, text messaging, and EHRs

175. NLP to identify and rank clinically relevant information from EHRs in the Emergency Department - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024541-goss-final-report-2018.pdf
     January 01, 2018 - NLP to identify and rank clinically relevant information from EHRs in the Emergency Department - Final … NLP to identify and rank clinically relevant information from EHRs … The first most immediate implication is in the field of data summarization in EHRs. … This is an important area that EHRs are currently inadequate or have not effectively solved. … overview.html https://problemlist.org/ NLP to identify and rank clinically relevant information from EHRs

176. Mazur, Lukasz | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/mazur-lukasz
     January 25, 2018 - and task difficulty with physicians’ performance during interactions with electronic health records (EHRs … and task difficulty with physicians’ performance during interactions with electronic health records (EHRs

177. Optimization of Patient-Reported Outcome Data Visualization to Improve Shared Decision Making | Digital Healthcare Research
     digital.ahrq.gov/2019-year-review/research-summary/emerging-innovative-newly-funded-research/optimization-patient-reported-outcome-data-visualization-improve
     January 01, 2019 - However, even with PROs integrated into EHRs, clinicians may not always know how to interpret and use … data are interpreted is impacted by how they are visually presented Visually presenting PRO data via EHRs

178. Electronic Health Record Usability Toolkit - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/electronic-health-record-usability-toolkit/annual-summary/2010
     January 01, 2010 - While electronic health records (EHRs) might be an improvement over their paper predecessors, studies … clinicians that supports rapid yet meaningful usability evaluations of their currently-implemented EHRs

179. Black, Shirley | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/black-shirley
     January 01, 2023 - 21 and 22, 2008 that brought together recognized national experts in the areas of patient safety and EHRs

180. Electronic Records to Improve Care for Children - 2009 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/electronic-records-improve-care-children/annual-summary/2009
     January 01, 2009 - there was preexisting lack of teamwork find that the condition is exacerbated by the implementation of EHRs … individual’s level of comfort with the use of computers had mild to moderate impact on willingness to use EHRs … ; however, carefully designed training can overcome resistance to EHRs.