M*Modal Introduces Artificial Intelligence Powered Follow-Up Workflow Management at RSNA 2018 to Help Close the Loop in Care Gaps

Improving Patient Safety and Outcomes, the M*Modal Technology Drives Automated Follow-Up Recommendation Workflow for Incidental Diagnostic Findings

M*Modal, a leading provider of clinical documentation and Speech Understanding™ solutions, announced the launch of an artificial intelligence (AI) supported  follow-up  workflow management solution. With the general availability of M*Modal Scout Follow-Up™, radiology departments and practices can now track, manage and act upon incidental findings to drive better patient care.

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To support the industry’s shift to value-based care, M*Modal helps healthcare organizations deliver and demonstrate greater clinical value. Using AI and natural language understanding to avoid care gaps, M*Modal Scout Follow-Up sifts through both structured and unstructured data in radiology reports and adds contextual understanding to this information to uncover actionable findings. M*Modal Scout Follow-Up also creates efficiencies by allowing the clinician to flag and supplement manual report reviews while streamlining disjointed workflows. This solution can also support screening protocols such as Lung-RADS™ as well as evidence-based guidelines for incidental findings such as Fleischner Society Guidelines.

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With dynamic worklist prioritization, nurse navigators and care coordinators can get to the most critical at-risk patients first. By automating incidental findings workflow management, M*Modal extends coverage to the review of all reports while reducing variance in care. This actionable worklist and prioritization is compatible with all leading EHRs, PACS, RIS and other existing systems, thereby optimizing current HIT investments.

“We are committed to driving continued and accelerated innovation in diagnostic imaging while anticipating market needs,” said Scott MacKenzie, CEO of M*Modal. “M*Modal Scout Follow-Up is an invaluable safety net for healthcare organizations that can enable the best care pathway for the patient and also help with communication compliance.”

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