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                        <td><span style="font-family:Helvetica, sans-serif; font-size:20px;font-weight:bold;">Healthcare AI - DataScienceCentral.com</span></td>
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                        <td><a href="https://www.datasciencecentral.com/how-to-architect-a-scalable-data-pipeline-for-healthtech-applications/" style="font-family:Helvetica, sans-serif; letter-spacing:-1px;margin:0;padding:0 0 2px;font-weight: bold;font-size: 19px;line-height: 20px;color:#222;">How to architect a scalable data pipeline for HealthTech applications</a>
                        <div style="font-family:Helvetica, sans-serif; text-align:left;color:#999;font-size:11px;font-weight:bold;line-height:15px;">Jul 9th 2025, 10:00</div>

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                        <p><p>HealthTech runs on data. From patient vitals and lab results to insurance claims and wearable device streams, there’s a constant firehose of information flowing in. And with that comes a big responsibility: handling it all quickly, securely, and at scale. But here’s the catch: this isn’t just any kind of data. It’s highly sensitive, regulated,… <a href="https://www.datasciencecentral.com/how-to-architect-a-scalable-data-pipeline-for-healthtech-applications/" rel="bookmark">Read More »<span class="screen-reader-text">How to architect a scalable data pipeline for HealthTech applications</span></a></p>
<p>The post <a href="https://www.datasciencecentral.com/how-to-architect-a-scalable-data-pipeline-for-healthtech-applications/">How to architect a scalable data pipeline for HealthTech applications</a> appeared first on <a href="https://www.datasciencecentral.com">Data Science Central</a>.</p></p>
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<p><strong>Forwarded by:<br />
Michael Reeder LCPC<br />
Baltimore, MD</strong></p>

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