Healthcare is pouring money into AI, but poor data quality is quietly sabotaging results by scaling bias, errors, and mistrust instead of value. Until organizations fix historical data, set accuracy baselines, and keep humans in the loop, AI will multiply problems faster than it improves outcomes.
The post Artificial Intelligence and the Data Quality Problem No One Can Ignore appeared first on MedCity News.
