Article: Why The 21st Century Cures Act is an Innovators Dream

API, Cures, Drugs, Open Health, Open Infrastructure, Procedures (Medical)

Why The 21st Century Cures Act is an Innovators Dream

Designed largely to accelerate medical product development and get new medications and treatments through the development process faster, the 21st Century Cures Act is a significant piece of legislation that  passed in 2016.

Some of its provisions are also meant to empower patients with more information about their own . The ONC Cures Act Final Rule in particular — which will go into effect in April of this year — says that providers must make patients’ electronic health records (EHRs) available to them. This means that data is unequivocally going to be in the hands of patients. It means better care for patients, but it also means that a whole new set of services and innovations will be possible.

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Article: The Importance of Data Collection in Healthcare

Cures, Drugs, Open Health, Procedures (Medical)

The Importance of Data Collection in Healthcare

Decision-making should be based on facts, regardless of industry. The importance of data collection and its analysis leveraging Big Data technologies has demonstrated that the more accurate the information gathered, the sounder the decisions made, and the better the results that can be achieved.

Medicine is that very industry that is greatly influenced and altered by Big Data. Read our article if you want to learn about the importance of data collection in healthcare and the tools that are used to collect information and turn it into business value.

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Article: Open Healthcare — a perfect storm — technology, need and mandate

Cures, Drugs, Open Health, Procedures (Medical)

Open Healthcare — a perfect storm — technology, need and mandate

Early interoperability standards in HC were onerous and heavy but also necessary. HL7 V2 came to maturity in the 90s. It was 80% standard and 20% a framework.     V2 lacked a consistent data model and had many more challenges but represented the complex world of healthcare. Interoperability was a science project.  

HL7 V3 came along at the turn of the century to address the v2 challenges but did not provide backward compatibility. V3 presented itself as more of a standard than a framework for negotiation.

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Article: Healthcare Analytics and Why It Matters

Cures, Open Health, Open Source, Procedures (Medical)

Healthcare Analytics and Why It Matters

The future of healthcare will be driven by digital transformation and data analysis. And the events of 2020 have only accelerated that change. For health CIOs, analytics solutions will be a top priority going into 2021, especially as health information systems seek to leverage Big Data to provide better care, prevent diseases, and optimize all areas of the care continuum.

As we go into a new decade, let’s go over the basics of healthcare analytics: what it means, what it can do, and how health systems can get started.

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Article: It’s Time for Open Source Healthcare

Cures, Drugs, Open Health, Procedures (Medical)

It’s Time for Open Source Healthcare

Thoughtful design in healthcare, whether directly or indirectly impacting patients, can ultimately save lives. Digital health promises that patients will have care plans and treatments best suited to their needs. We can deliver on that promise, but we’ll have to face some uncomfortable truths about our current system and fix them before we can get there.

Too often in the United States, health and the design of healthcare systems are treated like fashion, with an eye towards short-term profits and benefits rather than long-term sustainable infrastructure and patient-centered outcomes.

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Article: Race, Ethnicity, and Language Data: Standardization for Health Care Quality Improvement

Cures, Language, Open Data, Open Health, Procedures (Medical)

Race, Ethnicity, and Language Data: Standardization for Health Care Quality Improvement

Addressing health and health care disparities requires the full involvement of organizations that have an existing infrastructure for quality measurement and improvement. Although hospitals, community health centers (CHCs), physician practices, health plans, and local, state, and federal agencies can all play key roles by incorporating race, ethnicity, and language data into existing data collection and quality reporting efforts, each faces opportunities and challenges in attempting to achieve this objective.

To identify the next steps toward improving data collection, it is helpful to understand these opportunities and challenges in the context of current practices. In some instances, the opportunities and challenges are unique to each type of organization; in others, they are common to all organizations and include:

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