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Drug Dissolution: Requirements and Profile Comparison01:14

Drug Dissolution: Requirements and Profile Comparison

The acceptance criteria for dissolution profile data are anchored in Q values, representing the percentage of drug dissolved within a specified period. This assessment unfolds in three stages:First Stage: The test passes if all six drug dosage units are equal to or greater than Q plus 5%; otherwise, the sample proceeds to the second stage.Second Stage: The average of twelve units must be equal to or greater than Q, with no unit falling below Q - 15% to pass; if not, it progresses to the final...
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Rocket Propulsion In Empty Space - II

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Cohesion01:07

Cohesion

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Hybridization of Atomic Orbitals II

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Related Experiment Videos

An Interoperability Moonshot Proposal.

Natalee Agassi1, Richard Schreiber2,3,4, Eric Pan5

  • 1Oracle Health, California, United States, Redwoods City.

Applied Clinical Informatics
|June 24, 2026
PubMed
Summary
This summary is machine-generated.

Clinical data exchange is fragmented. A U.S. "moonshot" initiative proposes unifying terminology (SuperSNOMED) and accelerating Fast Healthcare Interoperability Resources (FHIR) for better data sharing.

Related Experiment Videos

Area of Science:

  • Health Informatics
  • Health Information Exchange
  • Clinical Data Standards

Background:

  • Clinical data exchange is fragmented, hindering coordinated and safe patient care.
  • Despite technological advancements and regulatory efforts, interoperability improvements have been incremental.
  • There is a critical need for unifying initiatives to enhance healthcare operations and outcomes.

Purpose of the Study:

  • Identify persistent barriers to clinical data interoperability.
  • Propose a U.S. national initiative to create a unified canonical clinical terminology (SuperSNOMED).
  • Accelerate the adoption of Fast Healthcare Interoperability Resources (FHIR) and Implementation Guides (IGs) for improved data exchange.

Main Methods:

  • Synthesized insights from expert roundtables and discussions.
  • Appraised peer-reviewed and online evidence on standards, policies, and regulations.
  • Identified barriers to interoperability implementation and developed policy recommendations.

Main Results:

  • Identified five key barrier domains: fragmented terminology, overlapping standards, misaligned incentives, variable IG implementation, and insufficient funding.
  • Proposed a national program with three pillars: SuperSNOMED, FHIR acceleration, and policy/governance.
  • Recommended a 3-year plan with certification, workforce incentives, and data-quality safeguards.

Conclusions:

  • Clinical data interoperability remains fragmented despite ongoing progress.
  • This paper calls for a focused, funded, and well-governed national initiative.
  • The proposed 'moonshot' aims to unify terminology and streamline data exchange standards.