Artificial intelligence can reduce physician burnout

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More accurate documentation can improve patient and physician experience

With physician burnout at an all-time high, there has never been a more important time to engage upfront with clinicians and share insights that ease administrative burdens. Clinical documentation integrity (CDI) teams can help close the loop between clinical care and revenue integrity—without increasing the burden on physicians. It begins with how the patient encounter is documented in real-time. With our artificial intelligence (AI) technology, 3M, now with M*Modal, supports back-end CDI workflows, providing evidence-based analysis, worklist prioritization and a clinically driven review process. AI can provide prioritized, continually updated CDI worklists to streamline fragmented query processes, manage cases and correct CDI discrepancies.


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SEE MORE ON INSIDE ANGLE
  • Clinician burnout and time to care

    When asked what inspired their career choices most doctors and nurses will say the joy in helping people. But they struggle with the burden of growing documentation requirements.

  • Robust primary care drives the outcomes we want

    Health care outcomes improve and unnecessary spending declines when we can get ahead of problems rather than reacting to them after they have spiraled out of control.

Solutions for CDI and care management

Want to know more about our 3M solutions and services for CDI and care management? Choose your solution below.

  • 3M M*Modal CDI Engage One icon
    3M™ M*Modal CDI Engage One™

    3M CDI Engage One delivers real-time clinical insights to clinicians as they document a complete patient story. The 3M 360 Encompass System can also integrate AI and data from both 3M and M*Modal technologies.

  • 3M M*Modal HCC Management icon
    3M™ M*Modal HCC Management

    3M HCC Management is a comprehensive, technology-driven solution that leverages AI to deliver frontline assistance to physicians so that HCC opportunities aren’t missed while documenting the patient encounter.


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