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C.D. Howe Institute Roundtable Luncheon
2014-04-28    
12:00 pm - 1:30 pm
Navigating the Healthcare System: The Patient’s Perspective Please join us for this Roundtable Luncheon at the C.D. Howe Institute with Richard Alvarez, Chief Executive Officer, [...]
DoD / VA EHR and HIT Summit
DSI announces the 6th iteration of our DoD/VA iEHR & HIE Summit, now titled “DoD/VA EHR & HIT Summit”. This slight change in title is to help [...]
Electronic Medical Records: A Conversation
2014-05-09    
1:00 pm - 3:30 pm
WID, the Holtz Center for Science & Technology Studies and the UW–Madison Office of University Relations are offering a free public dialogue exploring electronic medical records (EMRs), a rapidly disseminating technology [...]
The National Conference on Managing Electronic Records (MER) - 2014
2014-05-19    
All Day
" OUTSTANDING QUALITY – Every year, for over 10 years, 98% of the MER’s attendees said they would recommend the MER! RENOWNED SPEAKERS – delivering timely, accurate information as well as an abundance of practical ideas. 27 SESSIONS AND 11 TOPIC-FOCUSED THEMES – addressing your organization’s needs. FULL RANGE OF TOPICS – with sessions focusing on “getting started”, “how to”, and “cutting-edge”, to “thought leadership”. INCISIVE CASE STUDIES – from those responsible for significant implementations and integrations, learn how they overcame problems and achieved success. GREAT NETWORKING – by interacting with peer professionals, renowned authorities, and leading solution providers, you can fast-track solving your organization’s problems. 22 PREMIER EXHIBITORS – in productive 1:1 private meetings, learn how the MER 2014 exhibitors are able to address your organization’s problems. "
Chicago 2014 National Conference for Medical Office Professionals
2014-05-21    
12:00 am
3 Full Days of Training Focused on Optimizing Medical Office Staff Productivity, Profitability and Compliance at the Sheraton Chicago Hotel & Towers Featuring Keynote Presentation [...]
Events on 2014-04-28
Events on 2014-05-06
DoD / VA EHR and HIT Summit
6 May 14
Alexandria
Events on 2014-05-09
Articles

Redefining Healthcare with AI-Based Software Solutions

The healthcare sector is experiencing an extraordinary transformation, largely driven by AI-powered software that enables healthcare professionals to focus more on what truly matters—patient care.

As the demand for high-quality services grows alongside the challenge of managing vast amounts of data, diagnoses, and digital records, automated systems have become essential in alleviating the administrative burden on staff. AI-enhanced software is streamlining workflows, automating routine tasks, and helping physicians identify abnormalities. ASUS is leading this digital healthcare revolution by offering a broad portfolio of advanced AI software solutions, including:

The ASUS Clinical AI Assistant
The ASUS Clinical AI Assistant is built to enhance clinical workflows and decision-making for healthcare professionals. Whether in inpatient wards, outpatient clinics, or health screening centers, this multi-agent AI system offers intelligent summarization, anomaly detection, proactive insights, and tailored documentation support.

Having been piloted in hospitals, real-world feedback is helping refine the product into a reliable clinical partner. Five primary benefits have been identified as key advantages of this solution:

  1. Smart Summarization
    Quick access to relevant patient information is critical, especially during shift changes, pre-rounding, or cross-department referrals. The ASUS Clinical AI Assistant generates intelligent, concise summaries from electronic health records (EHRs), enabling clinicians to rapidly understand a patient’s condition and make timely, informed decisions.

    Comprehensive summaries provide clinicians with better insights, contributing to more accurate diagnoses. The AI-generated summaries are:

    • Specialty-specific (e.g., oncology or cardiology-related findings)
    • Scenario-specific (e.g., shift handoff, admission review, or discharge preparation)
    • Personalized according to individual clinician preferences (e.g., prioritizing labs, imaging, or medications)

    By converting raw, unstructured data into actionable insights, ASUS helps clinicians cut through complexity and focus on what matters most.

  2. Personalized Note Generation
    Documentation often consumes significant clinician time. The ASUS Clinical AI Assistant reduces this burden by producing high-quality, customizable draft notes for a variety of workflows, including:

    • Admission notes
    • Daily progress reports
    • Consultation records
    • Weekly summaries
    • Discharge summaries

    With adaptable templates and prompt-tuning tools, notes can be tailored to hospital or department-specific formats, saving time while ensuring consistency and accuracy across care teams.

  3. Proactive & On-Demand Anomaly Detection
    Early detection of potential patient deterioration is vital. The ASUS Clinical AI Assistant continuously scans both structured and unstructured data—such as vital signs, lab results, and clinical notes—to spot irregularities that may need further review or intervention. Clinicians receive timely alerts that help them anticipate problems and provide proactive care, improving patient outcomes.
  4. Evidence-Informed Smart Recommendations
    Navigating the complexities of modern medicine requires intelligent support. The ASUS Clinical AI Assistant offers evidence-based recommendations, including:

    • Suggested ICD codes based on patient history and symptoms
    • Potential follow-up actions like diagnostics, referrals, or treatments
    • AI-generated medication and care plan proposals aligned with clinical guidelines and international coding standards

    This feature streamlines clinical decision-making while ensuring adherence to standardized care and documentation.

  5. Pre-Consultation
    Understanding patient concerns before visits saves time and improves care quality. The ASUS Clinical AI Assistant includes a smart pre-consultation module that engages patients through structured questionnaires to capture key symptoms and issues. This information is then summarized and provided to clinicians prior to the consultation.

    The AI-driven pre-consultation adapts dynamically based on patient responses—clarifying unclear symptoms and identifying risk factors that might otherwise be missed. The result is richer, more organized patient data that enables more effective consultations and strengthens patient-provider communication and trust.

Supporting Clinicians, Enhancing Care
Through smart summarization, customized documentation, proactive safety alerts, and intelligent recommendations, the ASUS Clinical AI Assistant enables clinicians to work more efficiently—allowing them to dedicate more time to direct patient care.