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CenturyGoal and Analyticar Merge to Launch Omniscient Platforms and Omniscient Health to Redefine Data Science with Comprehensive Business, Accounting, and IT Expertise

Healthcare IT Today

He has led digital transformations for healthcare and other industries by implementing a cloud-based, HIPAA-compliant platform that centralized business intelligence, streamlined billing, and automated FP&A processes.

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Healthy Data Management: How IT Assists Healthcare Institutions

Healthcare IT Today

Let’s discuss how to tackle them and explore the IT solutions essential for modern healthcare institutions. In Europe, this is GDPR (General Data Protection Regulation), in America, it’s HIPAA (Health Insurance Portability and Accountability Act). AWS solutions require software compatible with HIPAA standards.

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Five Things You Should Know Before Building a Telehealth Program In-House

Iris Telehealth

With that data — and telehealth’s ability to expand access to high-quality providers — it’s no surprise that organizations are thinking through how to start a telemental health practice and leverage it as a long-term solution. Is our program HIPAA compliant? Do we have the right security in place (i.e.

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Scaling Virtual Consultations

CiscoHealth

Follow along with our new blog series #HealthcareNow and #PublicSectorNow , where we’ll addresses healthcare innovation around the world and how to maintain business continuity in today’s health climate. . In line with the HIPAA Security Rule, Cisco implements all the addressable specifications that are relevant to Cisco Webex services.

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Five Things You Should Know Before Building a Telepsych Program In-House

Iris Telehealth

Is our program HIPAA compliant? Policies around HIPAA compliance, reimbursements for audio-only appointments, billing and coding, and more have been consistently evolving over the past year — and things are continuing to change as more states pass legislation that permanently expands telehealth services.

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How to build a predictive model, from a healthcare perspective?

Digital Health Hub

This post aims to educate you on how to develop a predictive model, with relevance to healthcare. EMRs, EHRs) and unstructured (e.g., The image below shows a general framework/steps used to build and validate a predictive model. These steps are generic and are used most commonly to develop predictive models.

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How to build a predictive model, from a healthcare perspective?

Digital Health Hub

This post aims to educate you on how to develop a predictive model, with relevance to healthcare. To collect good quality data, it is essential to ensure: (i) data completeness : e.g. ensure that there are fewer missing values recorded from sensors, a smaller number of missing attributes in EHRs, EMRs, etc. (ii)

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