Acute patient management solutions
Fine-tune care for every patient at scale with continuous patient monitoring, acute care workflows and predictive insights.
Connect data across settings
Your acute care teams depend on actionable patient data when and where it’s needed to fine-tune treatment decisions. When that data is unavailable or unclear, not only are clinical outcomes at risk, but the inefficiency can also trickle down to negatively impact operational and financial goals.
Acute patient management from Philips provides continuous clinical surveillance, advanced interoperability and predictive insights across care settings. With access to critical data at all points of care, caregivers can easily stratify high-risk patients, make decisions together and fine-tune care with precision for every patient.
Benefits and outcomes
Alleviate clinical inefficiency with standardized, interoperable acute patient management that can help care teams:
Demonstrated results
Our acute patient management capabilities have resulted in:
reduction in unplanned ICU readmissions1*
reduction in patient transfers to the ICU*
reduction on in-hospital cardiac arrest1*
PEWS accuracy rate on pediatric surgery floor*†
potential hours saved*§
reduction in nonactionable ICU alarms*
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Saratoga Hospital impacts adverse events
Advanced patient monitoring with contextually relevant, clinically valuable insights helps stratify high-risk patients and fine-tune care decisions.
Reducing non-actionable alarm at Tourcoing hospital
Philips supported a team-based approach which helped implement effective alarm reduction in the ICU Download the white paper
A critical solution for critical care at Rush University System for Health
Standardized patient monitoring facilitates the quadruple aim. Rush partnered with Philips to standardize its patient monitoring system across its large campus, which included over 700 beds and seven critical care units in three hospitals.
Connecting diverse care settings
Because patient conditions are complex and ever changing, coordination across care settings is complicated. To keep pace with you and your team, we offer beat-to-beat, breath-to-breath patient monitoring and predictive analytics to deliver actionable clinical insights to all points of care.
“With Philips, we have the ability to capture trends and know what’s significant or just an anomaly. That’s going to drive better treatment decisions.” Angelique Richard, PhD, RN, CENP, Vice President for Clinical Nursing and Chief Nursing Officer, Rush University System for Health and Rush University Medical Center
Philips acute patient management solutions are designed to help clinicians detect early signs of patient change; interpret the clinical implications; and initiate rapid, appropriate interventions. Expected outcomes include:
If your organization is seeking improvements in managing your acute patient populations, we'd like to help. Reach out to start a conversation.
Acute patient management: Why now?
Spotlight on: Clinical decision support tools
Speed decision making for early intervention Graphical clinical decision support tools such as ST Map, Horizon Trends and ProtocolWatch turn data into clinically relevant, actionable information. Data from multiple clinical parameters are incorporated into innovative, intuitive views which allow clinicians—at bedside or off-site —to catch trends in a patient’s condition at a glance.
Explore more in acute patient management
*Results of customer testimonies are not predictive of results in other cases, where results may vary. ‡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. §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.
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
