Archive for October, 2009

A Federated Approach to Patient Identification in HIEs

As HIEs develop, they face many challenges. The biggest – and most critical – obstacle is overcoming technical differences to accurately identify patients. A federated model can help meet these initiatives.

What Makes a Good Patient Registry?

A patient registry is a good first step toward meaningful and secure information sharing. But not all patient registries are created equal.

Part 8: Choosing the Best Model

What are the benefits and drawbacks of the three main architecture models for MDM? How do you make the best choice for your organization? Marty Moseley evaluates your options.

Improving Border Security: The Challenge of Passenger Intent

Growing numbers of air passenger movements are increasing pressures at the border – particularly at immigration checks. Processing all these travelers – especially those that are non-compliant – increases both security risks and costs.

Data Quality Reporting for Senior Management, Board of Directors and Regulatory Agencies

Corporate executives discuss information quality issues increasingly often. How can you ensure that executives get the information they need to make informed decision, with the highest levels of data quality?

Benefits and Scenarios for the Information Theory Approach to Data Quality

The fact that data quality can be expressed in terms of scientifically sound metrics is important and can be leveraged in a number of practical scenarios. In this post and the next, we will discuss some of them.

Ochsner Moves Beyond Katrina

Ochsner Health System needed to properly identify patients across systems and facilities to streamline registration and support the EMR, while also scaling for continued growth and interoperability.

Your Data Governance Challenges

Most agree that data governance is essential to successful MDM or other data management initiatives. But if you’re just getting started, what challenges are you facing? Or, if you’ve been through the process, where did you stumble?

Part 7: Centralized Models: Complete but Expensive

A centralized MDM model is like a registry model turned on its head. Learn the advantages and potential drawbacks.

Using Probabilistic Matching for Successful MDM

Government agencies are turning to MDM to better link their data across the multitude of databases serving the public. Probabilistic algorithms help meet this challenge.