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12:00 AM - 29th ECCMID
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29th ECCMID
2019-04-13 - 2019-04-16    
All Day
Welcome to ECCMID 2019! We invite you to the 29th European Congress of Clinical Microbiology & Infectious Diseases, which will take place in Amsterdam, Netherlands, [...]
4th International Conference on  General Practice & Primary Care
2019-04-15 - 2019-04-16    
All Day
The 4th International Conference on General Practice & Primary Care going to be held at April 15-16, 2019 Berlin, Germany. Designation Statement The theme of [...]
Digital Health Conference 2019
2019-04-24 - 2019-04-25    
12:00 am
An Innovative Bridging for Modern Healthcare About Hosting Organization: conference series llc ltd |Conference Series llc ltd Houston USA| April 24-25,2019 Conference series llc ltd, [...]
International Conference on  Digital Health
2019-04-24 - 2019-04-25    
All Day
Details of Digital Health 2019 conference in USA : Conference Name                              [...]
16th Annual World Health Care Congress -WHCC19
2019-04-28 - 2019-05-01    
All Day
16th Annual World Health Care Congress will be organized during April 28 - May 1, 2019 at Washington, DC Who Attends Hospitals, Health Systems, & [...]
Events on 2019-04-13
29th ECCMID
13 Apr 19
Amsterdam
Events on 2019-04-24
Events on 2019-04-28
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.