How Can Real-Time Analytics Improve Outcomes in Patient Care?

May 31, 2018

Logistics Optimization

Several healthcare companies have gradually begun exploring the road to digital transformation by capturing more data from various service lines with different technologies and systems. Especially with the changing customer expectation, the quality of care is becoming increasingly important – as patients begin to exercise their right to choose how and with whom they engage for their healthcare. There is an increasing demand for transparency of data and processes in healthcare. Consequently, healthcare organizations will need to focus on how quality outcomes can be provided in a meaningful way for patients. Rising awareness of patient safety will enforce deeper investigations of medication errors, hospital-acquired infections, wrong-site surgery or pressure sores, like never before. Real-time analytics can help healthcare providers to capture and analyze data – all the time, just in time. The end goal is to save lives, shorten hospital stays, and build healthier communities revolving around preventative care. That’s not all, here is an in-depth insight into how we think real-time analytics has the ability to transform patient-care:

Merging Different Data Sources

Medical devices provide visual displays of vital signs through physiological streams such as heart rate, electrocardiogram (ECG), respiratory rate, and blood oxygen saturation. Electronic health record initiatives around the world create more sources of medical data. Life-threatening conditions such as pneumothorax, nosocomial infection, intraventricular haemorrhage, and periventricular leukomalacia can be easily detected using real-time analytics that fuses different data sources.

To learn more about the value of real-time analytics for your organization, request a FREE demo and gain insights from our experts.

Personalized Patient Care

With the help of real-time analytics, healthcare companies can improve their patient care outcomes and reduce the length of patients’ stay at the hospital. Automated or clinician-driven knowledge discovery to identify new relationships between data stream events and medical conditions will help to provide better patient care. This will also help in identifying the medical condition of each patient and tailor the treatment individually as per the requirement.

Proactive Treatment

Healthcare professionals can get real-time data continuously about their patients using advanced techniques like real-time analytics. Personalized data streams are built for each patient, which makes it easier to find data related to a particular patient. This will help provide on-time and prompt patient care facilities when required. Speed is a vital element of healthcare — the difference between life and death can hinge on mere seconds. Whether a healthcare provider is dealing with a flu outbreak or trying to decrease emergency response times, real-time analytics allow patient care teams to view metrics and discover opportunities to improve outcomes.

To know more about the how real time analytics is useful in enhancing patient care, speak to our experts.

Risk-Score Accuracy

Clinicians often have limited insights into all of the patient’s disease and comorbidity status, and little time or expertise in risk score coding accuracy requirements. This misalignment can significantly impact the accuracy of associated claims data, documentation, risk score accuracy, and related reimbursement for health plans and/or ACOs. Real-time analytics can provide in-depth insights into historical, current, and predictive risk score-accuracy gaps to support accurate disease burden documentation and treatment of various medical conditions that need the clinician’s attention so that problems may be addressed before the patient is readmitted or the hospital is penalized.

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