Health Analytics Connect

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Health Analytics Connect Enterprise-owned healthcare analytics infrastructure for employers, health plans, TPAs, and innovators. Founded by industry practitioners. Embedded platforms.

Deployable analytics. Training and advisory.

Mary Henderson and Joulan Wu spent yesterday in Dallas representing Health Analytics Connect at the World 50 Employer Be...
10/02/2026

Mary Henderson and Joulan Wu spent yesterday in Dallas representing Health Analytics Connect at the World 50 Employer Benefits Accelerator Roundtable, where they had the opportunity to share InHouseIQ℠ and spend the day talking with others in the employer benefits community. They wrapped things up at the reception and caught up with Borislava Manojlovic from Red Cell Partners. It’s always good to get away from the screens, see familiar faces and meet some new ones. Thanks to the World 50 Accelerator team for having us and for a great day in Dallas!

Healthcare Analytics Foundations — A 50% Increase!A 50% increase sounds pretty dramatic. But before reacting to it, I’d ...
10/01/2026

Healthcare Analytics Foundations — A 50% Increase!

A 50% increase sounds pretty dramatic. But before reacting to it, I’d want to know what actually increased. Going from 2 cases to 3 is a 50% increase. Going from 200 cases to 300 is also a 50% increase. The percentage is exactly the same, but the story behind it is very different. Percent change is useful, especially when we’re looking at trends, but percentages without the underlying numbers can make a change look much more or less significant than it really is. Population size, frequency and the starting point all matter.

It’s a simple example, but an important reminder that understanding the number usually requires a little context. That’s one of the skills we focus on in Healthcare Analytics Foundations℠.

Mary Henderson and Joulan Wu are on their way to Dallas today for the World 50 Employer Benefits Accelerator Roundtable....
09/30/2026

Mary Henderson and Joulan Wu are on their way to Dallas today for the World 50 Employer Benefits Accelerator Roundtable. Tomorrow they'll be presenting InHouseIQ℠ and, just as importantly, spending the day listening and talking with employer benefits leaders about the challenges they're facing with healthcare data and analytics. A lot of work has gone into preparing for tomorrow. We're excited to see where the conversations lead. Safe travels, Mary and Joulan!

Off the Record — Where Is the Real Gap?When healthcare analytics aren’t giving you what you need, it’s easy to assume th...
09/30/2026

Off the Record — Where Is the Real Gap?

When healthcare analytics aren’t giving you what you need, it’s easy to assume the problem is technology. Sometimes it is. But sometimes the real gap is somewhere else entirely. Maybe the data isn’t complete or reliable. Maybe different people are using different definitions. Maybe the methodology doesn’t fit the question being asked. Or perhaps the tools are perfectly capable, but the organization doesn’t have the time, expertise or process needed to turn the information into something useful. Before investing in another solution, it’s worth spending some time figuring out where the problem actually is. Better technology won’t fix a data problem, just as more data won’t necessarily fix a methodology problem.

Finding the real gap was one of the ideas that emerged from our Off the Record work, and it’s a useful place to start before deciding what comes next.

Imagine If… Your Streaming Service Recommended EverythingImagine opening your favorite streaming service and finding tha...
09/29/2026

Imagine If… Your Streaming Service Recommended Everything

Imagine opening your favorite streaming service and finding that every movie and show had been recommended just for you. At that point, the recommendation wouldn't be particularly helpful. Healthcare analytics can have a similar problem. If every trend is highlighted, every metric is important and every change deserves attention, it becomes difficult to know where to focus. Good analytics shouldn't just give us more things to look at. They should help us understand what matters, what may need attention and where it makes sense to investigate further.

Sometimes the value isn't in having more information. It's in knowing what deserves your attention.

Healthcare Analytics Foundations — Why Don’t These Reports Match?You have two reports that are supposed to be showing th...
09/25/2026

Healthcare Analytics Foundations — Why Don’t These Reports Match?

You have two reports that are supposed to be showing the same thing, but the numbers don’t match. It’s tempting to assume one of them must be wrong. But there may be a perfectly reasonable explanation. One report could be using paid claims while another uses incurred claims. The time periods may be slightly different. Pharmacy costs might be included in one but not the other, or the populations and definitions may not be the same. Before deciding there’s a data problem, it helps to understand exactly what each report is measuring and how it was calculated. Two different answers don’t always mean one is wrong. Sometimes they’re simply answering slightly different questions.

It’s one of those basic healthcare analytics concepts that can save an enormous amount of time and confusion, and it’s something we cover in Healthcare Analytics Foundations℠.

We’re heading back to 50 Accelerator, this time in Dallas. Health Analytics Connect has been selected to present InHous...
09/23/2026

We’re heading back to 50 Accelerator, this time in Dallas. Health Analytics Connect has been selected to present InHouseIQ℠ at the Fall 2026 Employer Benefits Accelerator Roundtable on October 1. We’ll be talking about a challenge we hear often from employers: there’s no shortage of healthcare data, but getting that data connected and turning it into information people can actually use is another matter. We’re looking forward to sharing what we’ve been building, hearing what’s on the minds of benefits leaders, and being part of the conversation again.

Off the Record — Do You Really Need to Start Over?When something isn’t working well with healthcare analytics, it can be...
09/23/2026

Off the Record — Do You Really Need to Start Over?

When something isn’t working well with healthcare analytics, it can be tempting to assume the answer is a new platform, a new vendor or a complete rebuild. Sometimes that may be exactly what’s needed, but not always. There may be quite a bit that already works. The problem could be a missing data source, inconsistent definitions, a process that needs attention or simply a gap between the information being produced and the questions people are trying to answer. Before starting over, it’s worth figuring out what’s working, what isn’t and where the real gap is. Sometimes the better answer is to keep the pieces that work and fix the ones that don’t.

That was another theme behind our Off the Record work and one that comes up often in healthcare analytics.

Imagine If… Your Check Engine Light Came OnWhen the check engine light comes on, it tells you something needs attention....
09/22/2026

Imagine If… Your Check Engine Light Came On

When the check engine light comes on, it tells you something needs attention. It doesn't tell you exactly what's wrong or what it's going to cost to fix. Healthcare data can work the same way. A sudden increase in costs, a change in utilization or an unexpected trend is a signal that something may be happening. The number gets our attention, but it usually isn't the diagnosis. That's when we start asking what changed, where it changed, who was affected and what might be driving it. Sometimes the explanation is fairly simple. Other times, one question leads to five more. The warning light tells you to look. The analysis helps you figure out what's actually going on.

Healthcare Analytics Foundations — Did the Program Really Do It?A healthcare program is introduced and six months later ...
09/18/2026

Healthcare Analytics Foundations — Did the Program Really Do It?

A healthcare program is introduced and six months later costs are down. That’s good news, but does it mean the program caused the decrease? Maybe. But a lot of other things could have changed during those six months. The population may be different, there may have been fewer large claims, utilization could have shifted, or the people who participated in the program may have been different from those who didn’t.

That’s why correlation and causation matter when we evaluate healthcare programs. Seeing a relationship in the data can be important, but we usually need to understand a little more before giving the program credit for the result.

You don’t have to be the person doing the analysis to know that “Did the program really do it?” is a very good question to ask. It’s one of the concepts we cover in Healthcare Analytics Foundations℠.

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