Author Archives: Sean P. Kane

Introducing the PREVENT ASCVD Risk Calculator on ClinCalc.com

PREVENT 10-Year ASCVD Risk Calculator

ClinCalc.com is excited to announce the launch of the PREVENT ASCVD Risk Calculator, a validated online tool that estimates a patient’s 10-year risk of a first atherosclerotic cardiovascular disease (ASCVD) event or heart failure hospitalization using the 2023 PREVENT equations.

ASCVD risk estimation plays a central role in preventive cardiology and is used to guide decisions around statin therapy, antihypertensives, and other interventions. For the past decade, the 2013 Pooled Cohort Equations (PCE) have been the standard tool for cardiovascular risk assessment. However, with the release of the 2025 hypertension guidelines, the PREVENT equations are now the recommended method for risk estimation. PREVENT offers improved predictive accuracy, eliminates the use of race-specific equations, and incorporates additional clinical and social risk factors.

Why use the ClinCalc PREVENT calculator?

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ClinCalc DrugStats: Most Commonly Prescribed Medications in 2023

ClinCalc DrugStats 2023

ClinCalc has released the latest edition of the DrugStats database, featuring “The Top 200 Drugs of 2023.” DrugStats offers complimentary access to estimated prescription drug utilization data for the United States. With this data set, users can discern patterns in prescribing habits and access an evidence-based, reputable “top 200 drugs” (or “top 300 drugs”) list based on data provided by the US Government.

Where does the DrugStats data come from?

All medication utilization data comes from the annual Medical Expenditure Panel Survey (MEPS), a survey conducted by the Agency for Healthcare Research and Quality (AHRQ). This data is publicly available on the MEPS website. To implement MEPS into the ClinCalc DrugStats database, basic data sanitization and standardization are applied to maintain an accurate and reliable data set. Read more about the methodology on the DrugStats About page.

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Introducing RxFlip: The Ultimate App for Learning the Top 250 Drugs

RxFlip - Top 250 Drugs Adaptive Learning Flashcards and Quizzes

We’re excited to announce the launch of RxFlip — a new, adaptive-learning flashcard and quiz mobile app designed to help healthcare students and professionals master the top 250 drugs. Learn more about the app at RxFlip – Top 250 Drugs.

Built on a modern platform with a sleek design, RxFlip delivers high-yield drug information through adaptive-learning flashcards and dynamically generated quizzes. The app is perfect for healthcare providers or students wanting to review commonly prescribed medications or those preparing for board exams (e.g. NAPLEX, BCPS, PTCB, PANCE, or NCLEX).

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ClinCalc DrugStats: Most Commonly Prescribed Medications in 2021

ClinCalc has released the latest edition of the DrugStats database, featuring “The Top 200 Drugs of 2021”. DrugStats offers complementary access to estimated prescription drug utilization data for the United States. With this data set, users can discern patterns in prescribing habits and access an evidence-based, reputable “top 200 drugs” (or “top 300 drugs”) list based on data provided by the U.S. Government.

Where does the DrugStats data come from?

All medication utilization data comes from the annual Medical Expenditure Panel Survey (MEPS), a survey conducted by the Agency for Healthcare Research and Quality (AHRQ) via the United States government. This data is publicly available on the MEPS website for free. In order for the ClinCalc DrugStats database to implement the MEPS data, basic data sanitization and standardization measures are necessary to maintain an accurate and reliable data set. Read more about the data set by clicking here. Continue reading →

ClinCalc DrugStats 2021 Update – The Most Commonly Prescribed Drugs in the United States

ClinCalc has released this year’s update to the DrugStats database — “The Top 200 Drugs of 2019”. DrugStats provides free access to prescription drug utilization data estimates for the United States.  Using this data set, users can identify trends in prescribing practice and an official, reputable “top 200 drugs” list based on data provided by the U.S. Government.

Where does the DrugStats data come from?

All medication utilization data comes from the annual Medical Expenditure Panel Survey (MEPS), a survey conducted by the Agency for Healthcare Research and Quality (AHRQ) via the United States government. This data is publicly available on the MEPS website for free.  In order for the ClinCalc DrugStats database to implement the MEPS data, basic data sanitization and standardization measures are necessary to maintain an accurate and reliable data set.  Read more about the data set by clicking here. Continue reading →

RapidASCVD: Calculate ASCVD scores seriously fast

RapidASCVD

ClinCalc is excited to announce a new iOS and Android app — RapidASCVD, a new mobile app to calculate ASCVD scores seriously fast.

Key Features of RapidASCVD

  • Accurately calculate 10-year ASCVD (atherosclerotic cardiovascular disease) risk per the AHA/ACC guidelines in as little as 10-15 seconds
  • Optimized mobile user interface to quickly obtain ASCVD estimates in the fastest amount of time possible
  • Extensively tested for accuracy with the pooled cohort equations as published in the 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk
  • Risk estimate output is consistent with the 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease

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RxHero for iOS: Educational Gaming of the Top 250 Drugs

Gamification - Motivate your studying by earning game points, ranks, and awards as you complete RxHero campaigns

ClinCalc is proud to announce a new iOS app — RxHero, an educational game for healthcare students and professional to learn the Top 250 Drugs.

Key Features of RxHero

  • Leverages simple gamification concepts (quest campaigns, in-game points, ranks) to motivate learners to continue to engage in studying
  • Uses the evidence-based ClinCalc DrugStats drug list top 250 drugs, which represents about 95% of all prescribed medications on the U.S. market
  • Adaptive, multi-modal learning to focus your attention on drug facts that are unlearned or difficult by presenting these drug facts in a variety of different ways (quiz questions, matching, and drug spelling)
  • Drug pronunciation is deeply integrated into the app so that you can hear the pronunciation of brand and generic names at any time while learning drug facts

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Add Brand/Generic Drug Names to Microsoft Office Word with the ClinCalc DrugSpell Dictionary File

By default, Microsoft Word and other Office products do not contain brand and generic medication names within the spelling dictionary.  For healthcare providers who conduct medical writing, publications, or PowerPoint lectures, this can lead to embarrassing spelling errors that are not captured by the spell check.

Spell checking drug names like atorvastatin (Lipitor®) can be frustrating. Avoid spelling errors (and the dreaded red squiggly lines) with the ClinCalc DrugSpell dictionary file. It’s free!

Introducing the ClinCalc DrugSpell Dictionary File

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The Top 200 Drugs of 2018

Top 200 Drugs of 2019 - The ClinCalc DrugStats Database

We’re proud to announce the annual update of the DrugStats database.  DrugStats provides free access to prescription drug utilization data estimates for the United States.  Using this data set, users can identify trends in prescribing practice and an official, reputable “top 200 drugs” list based on data provided by the U.S. Government.

Where does the DrugStats data come from?

All medication utilization data comes from the annual Medical Expenditure Panel Survey (MEPS), a survey conducted by the Agency for Healthcare Research and Quality (AHRQ) via the United States government. This data is publicly available on the MEPS website for free.  In order for the ClinCalc DrugStats database to implement the MEPS data, basic data sanitization and standardization measures are necessary to maintain an accurate and reliable data set.  Read more about the data set by clicking here.
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