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How Can Artificial Neural Networks Improve Healthcare?

All types, sizes and specialties of healthcare organizations are flocking to new applications of artificial intelligence (AI) in the pursuit of providing better patient care, reducing costs and optimizing efficiency. AI has quickly become more available and more sophisticated, offering healthcare entities and providers a variety of tools to leverage. One of these tools is […]

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ZyDoc Offering Free COVID-19 EHR Documentation Services to Struggling Hospitals and Health Systems

ZyDoc, a leading New York-based medical documentation company, is offering its services at no cost to all healthcare providers and hospitals affected by the COVID-19 pandemic. The company’s cutting-edge, dictation-based services allow providers to create their medical records 61% faster than traditional data entry methods by using a smartphone, tablet, telephone or digital recorder. ZyDoc […]

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Happy Holidays from ZyDoc

    Happy holidays from the team at ZyDoc! Thank you for trusting us with your medical transcription and EHR insertion needs in 2019. We are looking forward to working with you in 2020! For more information about our services, please check out our resources on digital medical transcription.

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ZyDoc Partners with athenahealth’s Marketplace Program to Allow athenaClinicals® users to Streamline EHR Charting with Dictation

Stony Brook, NY – (Sept. 16, 2019) – ZyDoc, a leading provider of medical transcription and EHR documentation services for physicians, today announced a partnership with athenahealth, Inc. through athenahealth’s Marketplace program. As an athenahealth Marketplace partner, ZyDoc’s services are now available to athenahealth’s growing network of 160,000 healthcare providers to enable athenaClinicals® users to […]

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Natural Language Processing–Enabled and Conventional Data Capture Methods for Input to Electronic Health Records: A Comparative Usability Study

Published in JMIR Medical Informatics, 28.10.16 in Vol 4, No 4 (2016): Oct-Dec.   http://medinform.jmir.org/2016/4/e35/ Available on PubMedCentral: https://www.ncbi.nlm.nih.gov/pubmed/27793791 Citation: Kaufman, D. R., Sheehan, B., Stetson, P., Bhatt, A. R., Field, A. I., Patel, C., & Maisel, J. M. (2016). Natural Language Processing–Enabled and Conventional Data Capture Methods for Input to Electronic Health Records: A Comparative Usability Study. JMIR Medical […]

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ZyDoc Accepted into Stony Brook University Incubator Program

ZyDoc Accepted into Stony Brook University Incubator Program to Develop Health Information Knowledge Management Technologies ISLANDIA, NY (PRWEB) NOVEMBER 9, 2017 – ZyDoc, a New York-based medical informatics company, is pleased to announce its acceptance into the Stony Brook Incubator Program at Stony Brook University. The Incubator Program, which helps new technologically innovative companies grow by […]

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