One of the biggest obstacles to data interoperability is the slow and piecemeal progress of healthcare organizations (HCOs) towards digitalization. While the benefits of digitalization are clear; improved efficiency, reliability of data, and enhanced communication, just to name a few; the critical (and most challenging) piece of the puzzle, is being able to share critical patient data between systems in a way that makes it easily accessible - while still retaining the security of sensitive
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digital transformation
Walmart Health Taps Zotec Partners to Power Patient Financial Experience
- Walmart Health has formed an end-to-end RCM technology and services relationship with Zotec Partners to simplify the healthcare financial experience processes for its customers, including primary care, dental, vision, and mental health services. - Zotec’s technology will enable Walmart Health patients to schedule and register for appointments ahead of time, confirm or change insurance and demographic information, see estimated cost for services, receive text and email updates, efficiently
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4 Steps Healthcare Organizations Need to Take to Automate Their Data
According to IDC, all the data that’s being created and captured in healthcare is projected to grow by 36 percent (CAGR)—more than any other industry. While managing growing volumes of data is a common challenge for many organizations across all sectors, healthcare is uniquely set apart by the sheer number of new data sources that’s being made available—with new sources being added all the time. This is driven in large part by advancements in telemedicine, personalized or precision medicine, as
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Mayo Clinic Selects Google Cloud to Power its Digital Transformation
- Mayo Clinic selects Google Cloud to be their cornerstone of its digital transformation in a 10-year strategic partnership agreement. - Google Cloud will secure and store Mayo Clinic's data while working with Mayo Clinic to apply AI and other cloud computing technologies to solve complex healthcare problems. - Mayo Clinic will leverage Google Cloud to conduct medical research, developing and deploying new machine learning models designed to improve treatment precision and clinical
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