Acute Patient Management

Dynamic care demands dynamic solutions

Philips Acute Patient Management solutions
Dynamic care demands dynamic solutions

    Philips solutions for acute patient management


    Patient care doesn’t stand still. From admission through discharge, beat-to-beat and breath-to-breath, patient physiology and care settings change – while vital insights evolve.

    Philips Acute Patient Management solutions enable data to flow freely, connecting information from the past and present. Plus predictive insights provide care teams with precisely what they need to confidently fine-tune patient care to support improved outcomes.
    Read how Rush University System for Health standardized its patient management solutions.
    Operations management graphic

    Diverse care settings create complex challenges


    Optimal care requires all caregivers to work together seamlessly. But because patient conditions are complex and ever changing, coordination across care settings is complicated. When systems can’t keep up, data can be missed and consequences can be high.

    Our integrated platform of patient management solutions provides continuous surveillance, embedded data analytics, advanced interoperability and smart services to deliver clinically valuable insights to all points of care.

    Discover dynamic patient management solutions that keep pace with you.

    Discover our dynamic solutions


    How can we help you overcome today’s challenges in acute patient management?
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    Footnotes


    *Results of customer testimonies are not predictive of results in other cases, where results may vary.

    Customer data over 7 month period in 2019 in unit 5CMC – Pediatrics Surgery.

    This data is exclusive to Jackson Memorial Hospital. Results from case studies are not predictive of results in other cases. Results in other cases may vary.
    §Philips IntelliBridge Device Interface Library document and Philips internal sales data.

    ||Results from the automation of ECG wavestrip patient transport process, non–value-added vitals charting, equipment upgrades and workflow changes. Data was collected by time study observations with the Philips team and Jackson Health team. These numbers are estimated projected time savings.

    Reference


    1. Heller AR, Mees ST, Lauterwald B, Reeps C, Koch T, Weitz J. Detection of deteriorating patients on surgical wards outside the ICU by an automated MEWS-based early warning system with paging functionality. Ann Surg. 2020;271(1):100-105. doi: 10.1097/SLA.0000000000002830