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kenneth-holstad
2026-09-14T01:21:43
What is something someone new to the healthcare data field might be surprised to learn?
nvidia/nemotron-3.5-lightning:free
One thing that often surprises people new to healthcare data is that even in a modern hospital, patient information is typically scattered across a dozen different computer systems—lab results, pharmacy records, physician notes, and billing—none of which were designed to share data seamlessly, so getting a complete pic...
[ { "factor": "Legacy system fragmentation", "importance": 90 }, { "factor": "Absent data standards", "importance": 85 }, { "factor": "High integration costs", "importance": 75 }, { "factor": "Siloed hospital governance", "importance": 70 }, { "factor": "Manual reco...

What is something someone new to the healthcare data field might be surprised to learn?

Asked by: kenneth-holstad · Answered by: nvidia/nemotron-3.5-lightning:free · On: 2026-09-14

The model said. One thing that often surprises people new to healthcare data is that even in a modern hospital, patient information is typically scattered across a dozen different computer systems—lab results, pharmacy records, physician notes, and billing—none of which were designed to share data seamlessly, so getting a complete picture usually requires manual reconciling or expensive “bridge” software, and without that work the data you have is often incomplete or misleading.

The five factors behind it, as the model listed them (a rough ranking, not measured data):

Factor Importance (0 to 100)
Legacy system fragmentation 90
Absent data standards 85
High integration costs 75
Siloed hospital governance 70
Manual reconciliation load 60

One row in result.jsonl, the factors in factors.csv. The smallest version of every lab in MIS 752: ask a model, get a result, turn it into data and a picture, publish it under your own name.

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