Decision Making with Machine Learning in Our Modern, Data-Rich Health-Care Industry

Dadson, Nick; Pinheiro, Lisa; Royer, Jimmy

doi:10.1007/978-981-10-3262-2_21

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…Healthcare administrative data can be linked with EMR data to add more clinical information [2], and may improve detection. More generally, as discussed by Dadson et al [14], AI has been used to detect drug-drug interactions based on the text in government and scientific reporting systems and may be used with genomic data to determine genetic factors associated with particular adverse effects.…”

Section: Pooling Knowledge To Provide Better Carementioning

confidence: 99%

Combining the Power of Artificial Intelligence with the Richness of Healthcare Claims Data: Opportunities and Challenges

Thesmar¹,

Sraer

Pinheiro

et al. 2019

PharmacoEconomics

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Combinations of healthcare claims data with additional datasets provide large and rich sources of information. The dimensionality and complexity of these combined datasets can be challenging to handle with standard statistical analyses. However, recent developments in artificial intelligence (AI) have led to algorithms and systems that are able to learn and extract complex patterns from such data. AI has already been applied successfully to such combined datasets, with applications such as improving the insurance claim processing pipeline and reducing estimation biases in retrospective studies. Nevertheless, there is still the potential to do much more. The identification of complex patterns within high dimensional datasets may find new predictors for early onset of diseases or lead to a more proactive offering of personalized preventive services. While there are potential risks and challenges associated with the use of AI, these are not insurmountable. As with the introduction of any innovation, it will be necessary to be thoughtful and responsible as we increasingly apply AI methods in healthcare.

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Section: Pooling Knowledge To Provide Better Carementioning

confidence: 99%