RxInform from DrFirst Now Available in the Epic App Orchard prnewswire.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from prnewswire.com Daily Mail and Mail on Sunday newspapers.
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ROCKVILLE, Md., April 1, 2021 /PRNewswire/ Galva Pharmacy in Galva, Ill., recently became the first pharmacy in the country to deploy an in-workflow, artificial intelligence (AI) solution that accurately structures, codifies, and backfills information gaps in electronic prescriptions. The independent pharmacy in Northwest Illinois is using DrFirst s patented AI solution, SmartSuite, within its Speed Script pharmacy management system (PMS) to improve accuracy and efficiency, allowing pharmacy staff to spend more time with patients.
Even with widespread electronic prescribing, pharmacists are still plagued by the need to manually correct free text found in prescribing instructions, known as sigs, for 84% of new prescriptions, which can lead to errors, take time away from patients, and decrease pharmacy productivity.
Galva Pharmacy is First U S Pharmacy to Use AI to Improve Drug Matching and Usability of Rx Instructions in E-Prescriptions prnewswire.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from prnewswire.com Daily Mail and Mail on Sunday newspapers.
March 14, 2021
G. Cameron Deemer of DrFirst: “Ninety percent of a leader’s role is freeing up your staff to think and perform”
Ninety percent of a leader’s role is freeing up your staff to think and perform. Like many companies, we’ve reminded ourselves over and over that we should hire staff who are better than we are, that we should hire A players, and I think we do a good job of identifying and hiring strong talent. […]
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s we close out the year, we asked several healthcare executives to share their predictions and trends for 2021.
Kimberly Powell, Vice President & General Manager, NVIDIA Healthcare
Federated Learning: The clinical community will increase their use of federated learning approaches to build robust AI models across various institutions, geographies, patient demographics, and medical scanners. The sensitivity and selectivity of these models are outperforming AI models built at a single institution, even when there is copious data to train with. As an added bonus, researchers can collaborate on AI model creation without sharing confidential patient information. Federated learning is also beneficial for building AI models for areas where data is scarce, such as for pediatrics and rare diseases.