The healthcare industry has long been plagued by productivity challenges.
Healthcare’s Productivity Problem: Why We Need Automation Many modern enterprise automation platforms either leverage or rely solely on cognitive automation technologies to support the automation of hyperspecialized workflows (i.e., recognizing and transcribing speech in a medical encounter). To automate these more complex actions, RPA must be paired with artificial intelligence (AI) technologies such as machine learning (ML), automated speech recognition (ASR), natural language processing (NLP) or even optical character recognition (OCR), to unlock “ cognitive automation”. However, RPA alone is limited in functionality and incapable of executing actions in a process workflow that deal with unstructured data and require reasoning, judgment or predictive insight. These technologies, commonly robotic process automation (RPA) and/or artificial intelligence (AI) software, create productivity efficiencies primarily by completing activities in a more efficient and accurate manner.Īmong these technologies, RPA is best suited to automating repetitive, high-volume actions that deal with structured data (i.e., transferring discrete data from a field in one application to another). It's important to first define automation before evaluating why and where the healthcare industry has invested in it, as well citing examples of leading startups that leverage this technology to transform healthcare operations.Īutomation refers to the use of technologies to complete human activities with little human intervention. The search has boosted tailwinds for the adoption of automation technology, a core enabler of workforce productivity. Healthcare providers, payers and life sciences are seeking technology to help improve workforce productivity. Labor displacement, financial uncertainty and new production demands have disrupted day-to-day operations.
As healthcare organizations continue to navigate the impacts of the COVID-19 pandemic, they face a new operating reality.
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