Results

Total Results: 1,173 records

Showing results for "operating".

241. Evaluating and improving the usability of a mHealth platform to assess postoperative dental pain. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/optimizing-acute-post-operative-dental-pain-management-using-new-hit/citation/improving
     January 01, 2024 - Evaluating and improving the usability of a mHealth platform to assess postoperative dental pain. Citation Ibarra-Noriega AM, Yansane A, Mullins J, Simmons K, Skourtes N, Holmes D, White J, Kalenderian E, Walji MF. Evaluating and improving the usability of a mHealth platform to assess postoperative de…

242. Information Technology Systems for Rural Indian Health Care: Implementation and Use of a Commercial Ambulatory Care Electronic Health Record - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/uc1hs015339-aranaydo-final-report-2007.pdf
     January 01, 2007 - Information Technology Systems for Rural Indian Health Care: Implementation and Use of a Commercial Ambulatory Care Electronic Health Record - Final Report Grant Final Report Grant ID: UC1HS015339 Information Technology Systems for Rural Indian Health Care: Implementation and Use of a Commercial Ambulatory …

243. Patient-Centered Data Home: A path towards national interoperability. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhancing-patient-matching-support-operational-health-information-exchange/citation/patient
     January 01, 2023 - Patient-Centered Data Home: A path towards national interoperability. Citation Williams KS, Grannis SJ. Patient-Centered Data Home: A path towards national interoperability. Front Digit Health. 2022 Jul 13;4:887015. doi: 10.3389/fdgth.2022.887015. PMID: 35911616; PMCID: PMC9328272. Link https:…

244. Analysis of cost and assessment of computerized patient record systems in Japan based on questionnaire survey | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency
     digital.ahrq.gov/health-it-tools-and-resources/health-it-costs-and-benefits-database/analysis-cost-and-assessment
     January 01, 1999 - Analysis of cost and assessment of computerized patient record systems in Japan based on questionnaire survey Authors:  Zhang, W. P., Yamauchi, K., Mizuno, S., Zhang, R., Huang, D. M. Journal:  Med Inform Internet Med Publication Date:  2004 Sep-Dec Volume:  29 Issue:  3-4 Pages:  229-38 HIT Description:  E…

245. Evaluating two approaches for parameterizing the Fellegi-Sunter patient matching algorithm to optimize accuracy. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhancing-patient-matching-support-operational-health-information-exchange/citation/evaluating
     January 01, 2023 - Evaluating two approaches for parameterizing the Fellegi-Sunter patient matching algorithm to optimize accuracy. Citation Grannis, S., Kasthurirathne, S., Bo, N., Xu, H. (2019). Evaluating two approaches for parameterizing the Fellegi-Sunter patient matching algorithm to optimize accuracy. Medinfo con…

246. Health Information Exchange | Digital Healthcare Research
     digital.ahrq.gov/health-information-exchange-2
     January 01, 2023 - architecture, and a critical review of best practices from four different data exchange models already operating

247. Managing Consent Directives, Electronic Standards to Capture, Report, and Implement HIP Consent (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/managing_consent_directives__electronic_standards_to_capture__report_and_implement_health_information_privacy_consent_5.pdf
     August 27, 2008 - one jurisdiction may not be legally applicable/enforceable in another jurisdiction � An entity operating

248. Machine learning approaches to identify nicknames from a statewide Health Information Exchange. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhancing-patient-matching-support-operational-health-information-exchange/citation/machine
     January 01, 2023 - Machine learning approaches to identify nicknames from a statewide Health Information Exchange. Citation Kasthurirathne SN, Grannis SJ. Machine learning approaches to identify nicknames from a statewide Health Information Exchange. AMIA Jt Summits Transl Sci Proc. 2019 May 6;2019:639-647. PMID: 312590…

249. Planning the Implementation of HIT in a Rural Setting | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/planning-implementation-hit-rural-setting
     January 01, 2023 - Planning the Implementation of HIT in a Rural Setting Project Final Report ( PDF , 192.86 KB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessarily represent the views of AHRQ.…

250. AHRQ CDS TEP In-Person Meeting - August 2011 - GLIDES Challenges (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/5_GLIDES_Challenges_TEP_August_2011.pdf
     January 01, 2011 - AHRQ CDS TEP In-Person Meeting - August 2011 - GLIDES Challenges Update and Challenges Technical Expert Panel Meeting, August 2011 GLIDES PROJECT GuideLines Into DEcision Support sponsored by The Agency for Healthcare Research and Quality Contents • Current Project Status • Progress • Accomplishments …

251. Information Technology Implementation by Cognitive Engineering of Organizational Routines - 2012 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/information-technology-implementation-cognitive-engineering-organizational/annual-summary/2012
     January 01, 2012 - After implementing and operating the software for 3 months, the center decided to cease implementation

252. Service Integration - 2008 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/service-integration/annual-summary/2008
     January 01, 2008 - ByNet HIE Governance Committee Operating Guidelines; Governance Document; ByNet Governance Committee/

253. Enabling Electronic Prescribing and Enhanced Management of Controlled Medications - 2012 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enabling-electronic-prescribing-and-enhanced-management-controlled-medications/annual-summary/2012
     January 01, 2012 - encountered in deploying the hard token due to compatibility issues with some prescribers’ PC-based operating

254. E_Glossary (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/E_Glossary_0.pdf
     April 13, 2012 - E_Glossary Appendix E: Glossary Privacy and Security Assessment of Variation Toolkit E-1 APPENDIX E: GLOSSARY Like any technical topic, discussions of privacy and security can use jargon that makes them difficult to understand. This glossary is provided to help ensure that other documents i…

255. E_Glossary (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/E_Glossary_1.pdf
     April 26, 2013 - E_Glossary Appendix E: Glossary APPENDIX E: GLOSSARY Like any technical topic, discussions of privacy and security can use jargon that makes them difficult to understand. This glossary is provided to help ensure that other documents included in the toolkit can be clearly understood, even by those not …

256. A simple two-step procedure using the Fellegi-Sunter model for frequency-based record linkage. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhancing-patient-matching-support-operational-health-information-exchange/citation/simple
     January 01, 2023 - A simple two-step procedure using the Fellegi-Sunter model for frequency-based record linkage. Citation Xu H, Li X, Grannis S. A simple two-step procedure using the Fellegi-Sunter model for frequency-based record linkage. J Appl Stat. 2021 May 4;49(11):2789-2804. doi: 10.1080/02664763.2021.1922615. PM…

257. Comparison of supervised machine learning and probabilistic approaches for record linkage. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhancing-patient-matching-support-operational-health-information-exchange/citation/comparison
     January 01, 2023 - Comparison of supervised machine learning and probabilistic approaches for record linkage. Citation McNutt, A.T., Grannis, S.J., Bo, N., Xu, H., Kasthurirathne, S. N.(2020, March). Comparison of supervised machine learning and probabilistic approaches for record linkage. AMIA Informatics summit 2020 C…

258. A framework for a consistent and reproducible evaluation of manual review for patient matching algorithms. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhancing-patient-matching-support-operational-health-information-exchange/citation/framework
     January 01, 2023 - A framework for a consistent and reproducible evaluation of manual review for patient matching algorithms. Citation Gupta AK, Kasthurirathne SN, Xu H, Li X, Ruppert MM, Harle CA, Grannis SJ. A framework for a consistent and reproducible evaluation of manual review for patient matching algorithms. J Am…

259. Automated Adverse Drug Event Detection and Intervention - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/uc1hs014882-ferranti-final-report-2008.pdf
     January 01, 2008 - Significance Our findings are significant in a) showing the feasibility of implementing and operating

260. Evaluating the effect of data standardization and validation on patient matching accuracy. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhancing-patient-matching-support-operational-health-information-exchange/citation/effect
     January 01, 2023 - Evaluating the effect of data standardization and validation on patient matching accuracy. Citation Grannis SJ, Xu H, Vest JR, Kasthurirathne S, Bo N, Moscovitch B, Torkzadeh R, Rising J. Evaluating the effect of data standardization and validation on patient matching accuracy. J Am Med Inform Assoc. …