Can AI Address Health Care’s Red-Tape Problem?

To be sure, as we’ve seen with the adoption of electronic health records, the health care industry has a track record of dragging its feet when it comes to adopting new technologies – and for failing to maximize efficiency gains from new technologies.

AI solutions dealing with cost-cutting and reducing bureaucracy – where AI could have the biggest impact on productivity – are already producing the kind of internal gains that suggest much more is possible in health care players’ back offices.

Here, we analyze three ways AI is chipping away at mundane, administrative tasks at various health care providers and achieving new efficiencies.

Health care providers typically spend nearly $39 billion every year to ensure that their electronic health records comply with about 600 federal guidelines.

By following the AI tool’s recommendations, some health care providers have cut the time spent on documentation by up to 45% while simultaneously making their records 36% more compliant.

The task of improving productivity in health care by automating administrative tasks with AI will not be completed quickly or easily.

The progress already achieved by AI solutions is encouraging enough for some to wonder whether re-investing savings from it might also ultimately cut the overall cost of health care as well as improve its quality.

This article was summarized automatically with AI / Article-Σ ™/ BuildR BOT™.

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