Predicting Emergency Room Visits: Why Melbourne’s proof of concept is likely to succeed. Through research into modeling care pathways, I came across Dr. Chris Pearce & team’s proposed study to gauge a patient’s risk of an emergency visit. The proof-of-concept study will use the clinical data warehouse in East Melbourne to train a predictive machine learning algorithm to identify patients likely to present at the emergency department. In one sense, this program is typical of various population health efforts.
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How Much is That?

How much is that service? If you have ever tried to analyze healthcare claims data, you are likely looking at a flat file of several thousand claim lines each encoded to different HCPCS or ICD codes. Your goal is probably to measure some sort of cost. But what field reflects the true cost? Consider the Colorado APCD medical claims layout, it contains fields for the Charge Amount, Paid Amount, Prepaid Amount, Co-Pay amount, Coinsurance Amount, Deductible Amount.
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CMS Assignment & Care Pathways We were fortunate enough to have this poster selected for presentation at the MIT Sloan Health and Bio-Innovations Conference. A portion of this analysis also appeared in the Arcadia Data Gallery Creating the research poster allowed us to test Algorex Health’s underlying mission, how does advanced analytics actual get done in healthcare. So we created a research question and tried to solve it. Along the way, we documented how we solved the analytical challenges we faced and plan to structure or libraries and APIs to accelerate the next analyst faced with an assignment question.
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Sloan Health & Bio-Innovations Conference We were lucky to have a poster selected for the MIT Sloan Health & Bio-Innovations Conference held this Friday (Feb 24, 2017). There is detail about our poster in a future post but I thought I would share some thoughts about the conference as a whole. The MIT conference had two keynote speakers and three panel discussions. I find these formats difficult because there is very little opportunity for the challenge some biases or false information.
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Forecasting Trump’s Health Care Plan In the first 21 days after the Trump administration has taken office, many of us are still unsure about the direction and details of health care policies, executive actions, and enforcement regimes. With that being said, we can look to campaign statements and Tom Price’s confirmation hearing to tease out where we may be going. Affordable Care Act (ACA) Repeal The clearest go-forward path of Trump’s platform includes the repeal of the ACA.
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A World Without Claims

A World Without Claims It’s an oft-repeated phrase that the fee-for-service healthcare system rewards volume not value. Thus, it incentivizes providers to simply render more care rather than render better care. The healthcare claim is the physical embodiment of that system. It is literally the bill on which a provider writes out a list a of the services and expected fees. If you have never seen one, I encourage you to look at the raw form for professional services or for institutional services.
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My Wish List for 2017 To close out the year, I am hoping on the bandwagon and putting out a listicle of just things I would like to see in 2017. This list cuts across healthcare and data science technologies. Healthcare RxClass Reversal: If you do research using medication data, you will eventually come across the amazing set of RxNorm tools which are maintained by the National Library of Medicine.
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Algorex Health Technologies

A blog for technology, policy, and grievances in the Open Health World

Opening the Healthcare Technology Doors

Boston, Massachusetts