<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Atmm Program Demo Python</title><link>http://www.bing.com:80/search?q=Atmm+Program+Demo+Python</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Atmm Program Demo Python</title><link>http://www.bing.com:80/search?q=Atmm+Program+Demo+Python</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>Longitudinal Access and Adjudication Data (LAAD) - IQVIA</title><link>https://www.iqvia.com/-/media/iqvia/pdfs/library/fact-sheets/iqvia-longitudinal-access-and-adjudication-data-fact-sheet-2023.pdf</link><description>LAAD is a comprehensive patient-centric dataset that brings together IQVIA’s prescription, medical claims, and remittance data, offering a simplified path to understanding the patient experience.</description><pubDate>Mon, 01 Jun 2026 02:26:00 GMT</pubDate></item><item><title>Longitudinal Access and Adjudication Data (LAAD) | IQVIA</title><link>https://www.iqvia.com/locations/united-states/library/fact-sheets/longitudinal-access-and-adjudication-data</link><description>Longitudinal Access and Adjudication Data (LAAD) is a comprehensive, patient-centric dataset for a simplified path to understanding the patient experience. Read the fact sheet to learn more.</description><pubDate>Mon, 01 Jun 2026 02:26:00 GMT</pubDate></item><item><title>Understanding LRx and LAAD datasets from IQVIA - LinkedIn</title><link>https://www.linkedin.com/posts/pratyasha-das-54642514a_pharmaanalytics-marketaccess-patientjourney-activity-7368909334539374595-VmiE</link><description>🚀 Decoding IQVIA Datasets: LRx vs LAAD One of the most common questions I come across in pharma analytics is — “How is LRx different from LAAD?”</description><pubDate>Fri, 05 Sep 2025 21:06:00 GMT</pubDate></item><item><title>Understanding LAAD in Pharma Analytics | PDF | Analytics - Scribd</title><link>https://www.scribd.com/presentation/784235324/Understanding-Pharma-LAAD-Dataset</link><description>Understanding Pharma &amp; LAAD Dataset - Free download as Powerpoint Presentation (.ppt / .pptx), PDF File (.pdf), Text File (.txt) or view presentation slides online.</description><pubDate>Thu, 28 May 2026 21:21:00 GMT</pubDate></item><item><title>Longitudinal Access and Adjudication Data Plus (LAAD Plus) Solution</title><link>https://www.iqvia.com.kh/-/media/iqvia/pdfs/us/fact-sheet/2025/iqvia-laad-plus-fact-sheet-2025_v2.pdf</link><description>By integrating IQVIA’s patient-centric LAAD database (open claims) with IQVIA PharMetrics® Plus (closed claims), LAAD Plus builds on IQVIA’s foundational business logic, renowned data accuracy, and trusted, transparent analytical methodologies.</description><pubDate>Mon, 01 Jun 2026 02:26:00 GMT</pubDate></item><item><title>Longitudinal Access and Adjudication Data Enhanced with Mortality Data</title><link>https://www.iqvia.com.kh/-/media/iqvia/pdfs/us/fact-sheet/2024/longitudinal-access-and-adjudication-data-enhanced-with-mortality-data.pdf</link><description>LAAD is a comprehensive patient-centric dataset that brings together IQVIA’s prescription, medical claims, and remittance data, offering a simplified path to understanding the patient experience.</description><pubDate>Mon, 01 Jun 2026 02:26:00 GMT</pubDate></item><item><title>Longitudinal Access and Adjudication Data Plus (LAAD Plus) S</title><link>https://www.contentree.com/vendor-sheets/longitudinal-access-and-adjudication-data-plus-laad-plus-solution_457042</link><description>IQVIA’s LAAD Plus integrates open LAAD claims with PharMetrics Plus closed claims to provide a comprehensive, patient-centric dataset. Covering 400M+ de-identified patients, 288M enrollees, 11M HCPs, and 752K HCOs, it delivers 58B lifecycle and 21B remittance claims.</description><pubDate>Tue, 26 May 2026 21:02:00 GMT</pubDate></item><item><title>ACT SHEET Enterprise Longitudinal Access and Adjudication Data Plus ...</title><link>https://www.iqviadigital.com/hubfs/%5BIQVIA%20Digital%20Fact%20Sheet%5D%20ELAAD%20Plus%202.5.2026.pdf?hsLang=en</link><description>How ELAAD Plus for Digital is different By integrating open and closed claims, ELAAD Plus increases claim, provider, and patient counts. Closed claims: Comprehensive view of patient activity across settings, without product blocking limitations. Open claims: Broad visibility across the healthcare landscape, without enrollment period restrictions.</description><pubDate>Sun, 31 May 2026 14:01:00 GMT</pubDate></item><item><title>Longitudinal Access and Adjudication Data Plus (LAAD Plus) Solution | IQVIA</title><link>https://www.iqvia.com/locations/united-states/library/fact-sheets/longitudinal-access-and-adjudication-data-plus-laad-plus-solution</link><description>This blended solution increases visibility into an expanded universe of medical claims, healthcare providers (HCPs), and patient counts, providing commercial teams with accurate, repeatable, and real-time insights across the entire claims continuum. Read the fact sheet to learn more.</description><pubDate>Wed, 27 May 2026 21:08:00 GMT</pubDate></item><item><title>Advanced Analytics Solution for the Longitudinal Access and ... - IQVIA</title><link>https://www.iqvia.com/-/media/iqvia/pdfs/us/fact-sheet/2022/advanced-analytics-solution-for-the-longitudinal-access-and-adjudication-data-set.pdf</link><description>Built by data experts from the ground up, LAAD is comprehensive patient longitudinal dataset that combines traditional patient data with lifecycle data to create one integrated dataset that provides a single source of the truth for all patient data needs.</description><pubDate>Mon, 01 Jun 2026 02:26:00 GMT</pubDate></item></channel></rss>