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Making Healthcare Data Useful

Posted on May 14, 2018 I Written By

The following is a guest blog by Monica Stout from MedicaSoft

At HIMSS18, we spoke about making health data useful to patients with the Delaware Health Information Network (DHIN). Useful data for patients is one piece of the complete healthcare puzzle. Providers also need useful data to provide more precise care to patients and to reach patient populations who would benefit directly from the insights they gain. Payers want access to clinical data, beyond just claims data, to aggregate data historically. This helps payers define which patients should be included in care coordination programs or who should receive additional disease management assistance or outreach.

When you’re a provider, hospital, health system, health information exchange, or insurance provider and have the data available, where do you start? It’s important to start at the source of the data to organize it in a way that makes insights and actions possible. Having the data is only half of the solution for patients, clinicians or payers. It’s what you do with the data that matters and how you organize it to be usable. Just because you may have years of data available doesn’t mean you can do anything with it.

Historically, healthcare has seen many barriers to marrying clinical and claims data. Things like system incompatibility, poor data quality, or siloed data can all impact organizations’ ability to access, organize, and analyze data stores. One way to increase the usability of your data is to start with the right technology platform. But what does that actually mean?

The right platform starts with a data model that is flexible enough to support a wide variety of use models. It makes data available via open, standards-based APIs. It organizes raw data into longitudinal records. It includes services, such as patient matching and terminology mapping, that make it easy to use the data in real-world applications. The right platform transforms raw data into information that that aids providers and payers improve outcomes and manage risk and gives patients a more complete view of their overall health and wellness.

Do you struggle with making your data insightful and actionable? What are you doing to transform your data? Share your insights, experiences, challenges, and thoughts in the comments or with us on Twitter @MedicaSoftLLC.

About Monica Stout
Monica is a HIT teleworker in Grand Rapids, Michigan by way of Washington, D.C., who has consulted at several government agencies, including the National Aeronautics Space Administration (NASA) and the U.S. Department of Veterans Affairs (VA). She’s currently the Marketing Director at MedicaSoft. Monica can be found on Twitter @MI_turnaround or @MedicaSoftLLC.

About MedicaSoft
MedicaSoft  designs, develops, delivers, and maintains EHR, PHR, and UHR software solutions and HISP services for healthcare providers and patients around the world. MedicaSoft is a proud sponsor of Healthcare Scene. For more information, visit or connect with us on Twitter @MedicaSoftLLC, Facebook, or LinkedIn.

Medical Record Duplicates and Overlays Impact the HIM Workflow

Posted on February 10, 2016 I Written By

Erin Head is the Director of Health Information Management (HIM) and Quality for an acute care hospital in Titusville, FL. She is a renowned speaker on a variety of healthcare and social media topics and currently serves as CCHIIM Commissioner for AHIMA. She is heavily involved in many HIM and HIT initiatives such as information governance, health data analytics, and ICD-10 advocacy. She is active on social media on Twitter @ErinHead_HIM and LinkedIn. Subscribe to Erin's latest HIM Scene posts here.

HIM professionals are responsible for many different tasks throughout the day and the highest priority is typically on ensuring the accuracy and integrity of the medical record. There are many obstacles that can threaten the integrity of medical records including accidentally creating duplicate medical record numbers or overlaying patient information in the Master Patient Index (MPI). These issues can be costly not only in productive man hours but in potential patient care delays and HIPAA violations. Monitoring these duplicates and overlays is something that must be done daily to keep records accurate and HIPAA compliant.

I was recently interviewed by John Trader for a podcast on this subject. We discussed the downstream affects of patient duplicates and overlays and how this impacts the HIM professionals’ daily workflow.

Check out this 1 minute clip from the podcast to get a taste of our discussion:

If you want to hear more, you can download the full podcast. Thanks John Trader for having me on your podcast.

If you’d like to receive future HIM posts by Erin in your inbox, you can subscribe to future HIM Scene posts here.

Patient Identification and Patient Matching – A Million Dollar Challenge

Posted on January 22, 2016 I Written By

John Lynn is the Founder of the blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of and John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

UPDATE: For those who missed the live discussion, you can watch the recording of our patient identification and patient matching interview in the YouTube video below:

Patient Identification and Patient Matching - A Million Dollar Challenge-blog

Given the recent announcement by CHIME about the $1 Million Patient Matching and Identification competition, I thought it would be the perfect time to explore the challenges of patient identification and matching in healthcare. On Monday January 25, 2016 at 10:30 AM ET (7:30 AM PT), I’ll be sitting down with 2 great experts on patient identification and matching:

The great part is that you can join our conversation live and even add your own comments to the discussion. All you need to do to watch live is visit this blog post on Monday January 25, 2016 at 10:30 AM ET (7:30 AM PT) and watch the video embed at the bottom of the post. You can also subscribe to the blab directly. We’ll be doing a more formal interview for the first 30 minutes and then open up the Blab to others who want to add to the conversation or ask us questions. The conversation will be recorded as well and available on this post after the interview.

I’m excited to talk with Beth and Michael about the impact of poor patient matching on healthcare, the current solutions to the problem, and their thoughts and views on CHIME’s $1 million National Patient ID Challenge. We hope you’ll join us on Monday and share your expertise and questions!

If you’d like to see the archives of Healthcare Scene’s past interviews, you can find and subscribe to all of Healthcare Scene’s interviews on YouTube.