The COVID-19 pandemic heavily impacted the healthcare industry, with healthcare payers and providers grappling with a shortage of resources due to skyrocketing demand, reduced operational margins due to economic uncertainties, and additional administrative cost overheads. Several trends, such as telehealth, digitalization, and automation, emerged to sustain and transform the healthcare industry following the crisis. Among the technologies which experienced widespread adoption was Intelligent Document Processing (IDP).
IDP is a software product or solution that captures data from documents (such as emails, text, PDFs, and scanned documents), categorizes it, and extracts relevant data for further processing using Artificial Intelligence (AI) technologies such as computer vision, Optical Character Recognition (OCR), Natural Language Processing (NLP), and Machine Learning (ML). IDP adoption grew 30-35% YoY among healthcare payers and a whopping 190-200% YoY among providers in 2020. Additionally, new use cases, especially among healthcare providers, also drove growth.
This viewpoint examines the challenges and emerging trends in the healthcare industry and focuses on the adoption of intelligent automation in healthcare, with special emphasis on the key capabilities of IDP solutions and its use cases in healthcare.
Scope
Industry: healthcare
Geographic scope: global
Contents
In this research, we discuss:
- The challenges and emerging trends in the healthcare industry
- Intelligent automation adoption in healthcare
- Key IDP capabilities and their benefits for enterprises
- How the healthcare industry is leveraging IDP
Membership(s)
Service Optimization Technologies (SOT)
Sourcing and Vendor Management
