As we’ve previously discussed, algorithms—step by step instructions (rules) to perform a task or solve a problem, especially by a computer—have been widely used in health care for decades.  One clear use of these algorithms is through evidence-based, clinical decision support interventions (DSIs). Today, we see a rapid growth in data-based, predictive DSIs, which use models created using machine learning (ML) algorithms or other statistical approaches that analyze large volumes of real-world data (called “training data”) to find patterns and make recommendations.

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When talking about artificial intelligence (AI) today, people are usually referring to predictive models—often driven by machine learning (ML) techniques—that “learn” from historic data and make predictions, recommendations, or classifications (outputs) which inform or drive decision making. The power of ML is in its enormous flexibility. You can build a model to predict or recommend just about anything, and we have seen it transform many sectors.
The potential for ML and related technologies in health care is exciting.

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The same basic technology that can predict what movie you might want to watch, what song you might want to listen to, or what item you might want to buy online, can also predict the onset of diseases, forecast costs of care, and recommend treatment options for your doctors, nurses, and pharmacists.
Algorithms are not new to health care. Indeed, an important and long-standing part of our Health Information Technology (Health IT) Certification Program has included Clinical Decision Support (CDS) certification criterion covering “rules-based” algorithms and software systems that use rules derived by experts,

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As ONC works to advance the development and use of health IT, we know that you play an important and equal role in maintaining the public’s confidence and trust. The privacy and security of health information is always at the forefront of our work and your organization’s business practices. In the spirit of National Cyber Security Awareness Month (NCSAM), we want to highlight the HHS Security Risk Assessment (SRA) Tool, which you can use to assess your organization’s security risks.

Twenty-two years ago this month, the U.S. Congress enacted the Health Insurance Portability and Accountability Act of 1996 (HIPAA). The federal Privacy, Security, and Breach Notification Rules implemented under HIPAA, and administered and enforced by the HHS Office for Civil Rights (OCR), continue to serve as the national foundation of protections for individually identifiable health information, and of individuals’ rights with respect to their information, including the right to see and obtain copies of their health information from their healthcare providers and health plans.

The post HIPAA & Health Information Portability: A Foundation for Interoperability appeared first on Health IT Buzz.

Twenty-two years ago this month, the U.S. Congress enacted the Health Insurance Portability and Accountability Act of 1996 (HIPAA). The federal Privacy, Security, and Breach Notification Rules implemented under HIPAA, and administered and enforced by the HHS Office for Civil Rights (OCR), continue to serve as the national foundation of protections for individually identifiable health information, and of individuals’ rights with respect to their information, including the right to see and obtain copies of their health information from their healthcare providers and health plans.

The post HIPAA & Health Information Portability: A Foundation for Interoperability appeared first on Health IT Buzz.