Our Expertise

Data Science is a multi-disciplinary field, bringing together different computational and mathematical skills with a strong knowledge of clinical trials and healthcare. Our successful clients cite these reasons for choosing to work with us.

  • Our data science team complements our high-quality statistics, programming, and data management services to provide a more diverse set of services to enable the best use of data and metadata.
  • With technical expertise in data processing, analytics, machine learning, artificial intelligence, algorithm development, and visualizations, the group applies strong scientific domain knowledge to support pharmaceutical, biotechnology, and medical device companies with their data-related challenges.

Our Services

  • Development of bespoke visualizations to support data interpretation and monitoring
  • Algorithm development and the use of machine learning to support precision medicine e.g. predictive biomarkers
  • Maximizing the value of patient-generated data such as wearables and biosensors.
  • Application of machine learning and artificial intelligence techniques to maximize the value from clinical data and its metadata
  • Identification of data sources and associated analytics to answer key questions
  • Development of data visualizations enabling teams to independently explore data
  • Analysis of historical and operational data, providing data insights and driving benefit
  • Integration & analysis of clinical data alongside Electronic Healthcare Records (EHRs), Real World Data (RWD), and other omics datasets

Our Approach

Examples of Our Work

Text Analytics

December 31st, 2020|0 Comments

The purpose of the study was to develop an understanding of the relevant online conversation, both pre- and post-FDA approval of [competitor 1] and to identify stakeholders and discover discussion patterns within the set [...]

The Impact of Insurance Fraud

December 31st, 2020|0 Comments

AMSTAT Consulting has applied an effective analytical approach to evaluate the cost of insurance fraud and to quantify the value of investments in counter fraud analytics capabilities in order to reduce our client's risk [...]

Featured Insights

Using Predictive Analytics in Healthcare

January 5th, 2021|0 Comments

Given the current economic climate and continued scrutiny on the state of the healthcare industry, hospitals and physician practices must learn to adapt their business practices or continue to fall behind the curve in [...]

Predictive Analytics Can Improve Revenue

January 4th, 2021|0 Comments

Healthcare is about providing critical services to people, but as any hospital chief financial officer or revenue cycle manager knows, providers that can’t pay the bills won’t be able to help any patients once [...]

Advantages of Data Analytics

January 3rd, 2021|0 Comments

When it comes to revenue cycle management within a healthcare facility, it's especially beneficial to take advantage of data analytics.  And with cash flows on the decline and profit margins being tighter than ever [...]

Healthcare Fraud Prevention With Analytics

December 17th, 2020|0 Comments

Healthcare Fraud: The Numbers Healthcare is a $2.7 trillion industry in the U.S. alone, and it is estimated that one-third is lost due to different forms of waste, mismanagement, and abuse. Waste includes such [...]

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