Health information exchange consulting Eliminate Road Blocks - Achieve. Innovate & Manage Your HIE

(302) 645-1490

Data Analytics And Quality Reporting in HIEs

Data Analytics And Quality Reporting in HIEs

Do health information exchanged have an effect on analytics? Read here to learn about data analytics and quality reporting in HIEs.

Data Analytics And Quality Reporting in HIEs

As a medical professional, you want to do everything you can to increase your level of patient care.

Often, this starts with access to real-time medical records from multiple healthcare professionals. It also means that you’ll have to rely on aggregated data and analytics from HIEs to more accurately predict what’s next for your patient.

How do these analytics impact quality reporting and patient care? How can they help you to save more lives?

Read on to find out.

What Are HIEs?

Before we discuss how HIE impacts data analytics and reporting, let’s first make sure you have a clear understanding of what we mean when we say “HIE.”

Short for “Health Information Exchange,” HIEs help medical professionals to electronically access and share the medical history of a patient. This means that healthcare providers will have more complete and more immediate access to a patient’s medical history, allergies, past operations, most recent diagnoses, and much more.

HIE helps medical professionals to provide better care to patients, all without compromising the confidentiality of their medical information. It also means fewer mistakes, as well as fewer chances of duplicate testing.

In fact, 89% of medical professionals say that HIEs and the ability to share patient information electronically has directly improved their treatment plans and diagnoses.

HIE takes on three main forms:

Directed Exchanges

Directed Exchanges help multiple medical professionals work together to send information back and forth between them, so they can provide the best possible care for the same patient.

Query-Based Exchanges

Query-Based Exchanges help medical professionals, especially in urgent/emergency situations, get medical information about a patient from other healthcare professionals who have treated the patient in the past.

Consumer Mediated Exchanges

Finally, Consumer Mediated Exchanges help the patients to get access to their health history. They can check it for errors, give it to other providers, and manage it themselves.

Now that you know a little bit about the basics of HIEs, let’s move on to how they can help with data and quality reporting.

How Do HIEs Impact Quality Reporting?

HIEs continue to rise in popularity among healthcare professionals, and with good reason.

In this section, we’ll take a look at how the data and analytics they provide influence and strengthen patient care.

The Use of Predictive Analytics

When HIEs make it easier to quickly and more completely share the medical history of a patient, lives can be saved through predictive analytics.

The data contained in HIEs helps healthcare professionals figure out when a patient is most likely to come into their practice, and for what specific problem they’re likely going to be seeking treatment for.

They can even help medical professionals figure out, in real time, when a patient is most likely to suffer a heart attack, stroke, or other serious medical setback.

With this information more accessible than ever, and able to be shared with other medical professionals in case of emergency, the chances of fatality are decreased.

This is because HIEs help to create specific health algorithms based on a massive analysis of patient history, so the results are more accurate than ever.

This doesn’t just extend to specific patients. The larger data and analytics of HIEs have helped produce quality reporting when it comes to spikes in ER traffic, the chances of readmission for specific illnesses/injuries, and much more.

The Ability to Identify Trends

Another way HIEs impact analytics and quality reporting?

They help medical professionals to identify trends within a specific patient population. Especially when it comes to medical risk management, the information provided by HIE data is invaluable.

It can also help medical providers to keep track of public health, and identify potential larger-scale threats. This means they’ll be able to treat and contain them sooner, stopping the spread of infection and disease.

The data reports aggregated by HIEs mean that medical professionals will be able to identify these threats sooner, as well as discover whether or not they’re isolated to a specific geographic area.

This data also means it will be easier to identify the source of diseases and illnesses. This is because the data regarding these public health issues is aggregated from multiple sources across the country.

In addition to being able to access the information contained in the HIE data pools, medical professionals can also get statistical reports sent to their offices.

Centralized vs. Decentralized: Hybrid HIE Analytics

When it comes to HIE data, there are two main types: a centralized and decentralized option.

In a centralized HIE analysis, individual medical professionals contribute their patient reports into a larger data pool. In general, centralized data is helpful for providers working within the same community, as health care trends and specific patient information is more accessible this way.

A decentralized analysis means that patient records stay with the specific providers, until they agree to let another professional or an analytic software (usually a Record Locator Service) access it.

This means that patient privacy is more protected, and eliminates questions about data ownership.

Most HIEs are a hybrid model, a combination of both centralized and decentralized analytics.

This means that both a Record Locator Service and a centralized data system are put into place. This also means that it’s much easier to coordinate patient care and identify large-scale health trends. Professionals don’t need to wait for permission from another healthcare provider to access medical records of a patient.

This easy access to data impacts quality reporting in that it’s easier to conduct analysis, manage risk, and continue with larger-scale medical research.

Need Additional Help With HIEs And Quality Reporting?

Thanks to this post, you now have a much better understanding of how data and analytics of HIEs impact quality reporting and, of course, general patient care.

However, you may still need some assistance implementing and managing your HIEs.

That’s where we come in.

We assist healthcare professionals with strategic planning, so that you can better manage your finances and create more effective operational plans.

We also help you to develop a more targeted organizational structure, so that you can better adapt to the specific needs of your patients and overall community.

With over 20 years in the industry, you can rely on us. Get in touch with us today to learn more about how we can help you to better help your patients.

By | 2017-11-17T18:14:44+00:00 November 17th, 2017|Uncategorized|Comments Off on Data Analytics And Quality Reporting in HIEs

About the Author:

Gina Bianco, President/ CEO of AIM states, “Over the past decade, HIE has shifted focus from connecting providers and hospitals so that their patients’ health information follows them across organizational boundaries; to making that data actionable in a value-based health care environment.”