The healthcare industry faces several challenges in adopting RPA technology. Healthcare data contains sensitive patient information that must be securely managed and protected according to compliance regulations like Health Insurance Portability and Accountability Act (HIPAA). The diverse and complex nature of healthcare processes makes them difficult to standardize and automate using RPA bots. Healthcare organizations also have rigid IT infrastructure and are often wary of disrupting existing clinical workflows. Overall integration with legacy systems remains a major roadblock for greater RPA adoption.
Market Opportunities: Growing applications of RPA in drug discovery and clinical trials
RPA bots can systematically collect and analyze huge volumes of scientific literature and data from disparate sources to identify potential drug targets and formulations. They can screen thousands of chemical compounds vastly more quickly than humans to identify the most promising leads. This allows researchers to explore more options and bring potential new treatments to patients faster. RPA is also being used to automate workflow tasks across clinical trials like participant enrollment and tracking. Bots can check eligibility criteria for thousands of records nearly instantly, send enrollment emails, book appointments, follow ups, and standardized routine communications. This significantly boosts recruitment efforts and allows trials to be completed ahead of schedule.
Robotic Process Automation In Healthcare Market Report Snapshots
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