When data is siloed, care is compromised.
Patient data is one of the most valuable assets in health care, but it is an asset not always available to clinicians. Bedside devices offer just a snapshot of data and the effort it takes to monitor and analyze data from a series of standalone devices leads to desensitization, alarm fatigue and information gaps. Gaps in data can lead to gaps in care and result in a reactive approach based on trial and error. Tools developed using AI have given us the ability to make highly-informed clinical decisions, but they’re only as good as the inputs they receive.
Health systems are looking to improve quality and lower costs through more precise and proactive care. These models rely on a steady stream of high-fidelity data, integrated and disseminated in a way that enables critical insights.