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Amazon Launches New Service Simplifying Healthcare Data Search and Analysis

Healthcare IT Today

Amazon HealthLake, which AWS describes as “HIPAA-eligible,” was launched during Amazon’s annual re:Invent conference. Amazon Web Services is rolling out a new tool designed to make it simpler for healthcare organizations to work with their data.

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Healthy Data Management: How IT Assists Healthcare Institutions

Healthcare IT Today

In Europe, this is GDPR (General Data Protection Regulation), in America, it’s HIPAA (Health Insurance Portability and Accountability Act). Unlike EMRs, requests for access to EHR records can be made by other medical centers. AWS solutions require software compatible with HIPAA standards.

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Mitigating Risk and Reducing Costs with Smart Healthcare Records Management

Healthcare IT Today

Additionally, it plays a pivotal role in meeting regulatory compliance standards, such as HIPAA and SOC 2 and 3, safeguarding patient privacy, and maintaining the integrity of healthcare data. Regulatory compliance, such as adherence to HIPAA, becomes even more critical in the digital landscape, where the risk of data exposure is heightened.

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Featured Health IT Jobs – Senior Epic Application Analyst

Healthcare IT Today

A senior-level role which serves as the Subject Matter Expert (SME) for the Epic EMR System. This position requires independent decision-making, problem solving, project management, leadership, training, systems and build analysis, and excellent written and verbal communication skills. Our mission celebrates diversity.

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

Digital Health Hub

Preview in new tab Step 1: Data Collection 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) EMRs, EHRs) and unstructured (e.g.,

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

Digital Health Hub

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) When data is obtained, they are often not in a form that is suitable for further analysis. Step 2: Data Collection.

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Featured Health IT Jobs – Epic Application Analyst/Coordinator

Healthcare IT Today

Your expertise in Epic EMR systems configuration and troubleshooting will be invaluable as you monitor, evaluate, and optimize system performance. Looks like a great opportunity for those with experience in specializing in Epic application analysis and coordination! We are committed to equal opportunity employment.