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Data-Driven Pricing: Supporting Access through Clinical and Economic Endpoints

rmagar@ahrminc.com (Raf Magar) — Tue, 22 Oct 2019 18:45:11 GMT

A near-constant headline over the past several years has been the rising cost of healthcare, whether referring to a hospital visit, a novel (or—in some cases—existing) pharmaceutical compound, or cutting-edge surgical procedures. As medical technologies become more advanced, the cost of research and development increases; while at the same time, the economic impact of interventions on payers (whether governmental, commercial, or individual) is a serious concern. How is it possible to balance these forces pushing and pulling on the economic proposition of a medical intervention?

Shifting Expectations: Machine Learning and Artificial Intelligence in the World of Healthcare Outcomes Research

ctyson@ahrminc.com (Christopher Tyson, Ph.D.) — Wed, 16 Jan 2019 16:48:00 GMT

The applications of machine learning (ML) and artificial intelligence (AI) continue to grow each year as more resources are devoted to developing mathematical methodologies and computational hardware that expand the environments in which ML and AI can be used. The most direct interaction that people have with these technologies is with several popular consumer electronics devices and services: Amazon Alexa and Google Home both use AI for speech recognition and natural language processing, streaming services such as Spotify may use ML to generate recommendations for users based on prior media consumption, Amazon leverages ML to offer products in which it believes the user may have interest, and financial institutions utilize ML/AI to predict and detect fraudulent account activity.

Barriers to Conducting Research: Helping the Private Practice Physician Overcome the Limitations

ldalfonso@ahrminc.com (Laura Dalfonso) — Thu, 04 May 2017 15:28:30 GMT

Practicing physicians have consistently cited three major barriers to conducting independent research and/or participating in industry sponsored research: lack of time, lack of money, and lack of research staff. This is especially true for physicians in private practice without direct access to the type of resources available to those practicing in academic-affiliated institutions.