Operational Analytics solutions
The Operational Analytics solutions help you leverage available operational data to improve the delivery of care provided by your organization.
Operational Analytics solutions help you transform raw operational data from a variety of sources into actionable strategies that can improve the business side of hospital operations. Operational Analytics solutions enable you to enhance the efficiency of your organization’s transactions. For example, how many people do you need on staff for a given shift, and what’s the right staffing mix? What’s the optimal time to transfer a patient to or from the ICU? How can you avoid patient bottlenecks?
In addition to your own operational data, you can pull in public data on population health, community demographics, holidays, seasonal patterns, and other relevant inputs. Operational Analytics can help you describe the current state of your organization, ask questions about that state, predict the future, and use prescriptive metrics to improve your operational strategies. For example, you can improve patient outcomes by using machine learning to analyze patient cases across various metrics and then use previous successes to drive future results.
Operational Analytics benefits and challenges
How can Operational Analytics help patients?
Operational intelligence can improve the quality of health care by using available data to help determine clinical and operational strategies. For example, operational analysis can be used to track patient bottlenecks in admission so that resources or processes can be adjusted accordingly to reduce wait times.
How can Operational Analytics help healthcare employees?
Employees can use operational analytics software to visualize data on the fly and graph trends in admissions, patient incidents, staff utilization, and other hospital operations. Predictive analytics using machine learning enables employees to use past data to predict future patterns. This enables employees to make better, more informed decisions.
How can healthcare organizations optimize operational effectiveness?
Operational intelligence helps hospitals and healthcare organizations to streamline operations. For example, analytics can make meetings more efficient by allowing stakeholders to focus on solving problems rather than collecting data. Additionally, analytics can improve capabilities for preventing fraudulent activity, tracking payments, and dealing with improper payments.
How do I get actionable insights in the healthcare industry?
Advanced operational analysis enables you to combine data from multiple sources and use descriptive, predictive, and prescriptive analytics to help your care teams convert data into actionable insights. For example, analytics can help you ensure that you have sufficient staff to enable appropriate patient care while avoiding overstaffing. You can make your insight into hospital operations faster and more complete by using operational analysis services.
“The beauty about technology is that it automates processes and it reduces operating expenses.”
Dr. Michael Tan
Fullerton Health Group CEO
How Operational Analytics works
Operational Analytics solutions help healthcare organizations optimize hospital operations—and ultimately provide patients with better care.Operational analysis can help you allocate staff, resources, and budget.
You can pull in data from various sources—including community demographics and seasonal and calendar information—and correlate this with data about patients, incidents, admissions, and staff utilization.This enables you to track your current metrics, predict the future, and prescribe strategies for improvement.
Self-service BI and analytical tools enable onsite knowledge workers to manipulate data to suit their needs and visualize it instantly to get a better understanding of past operations. They can graph trends in areas like revenue and expenses over time, number of patients treated month over month, readmission rates, or number of hospital acquired infections by department.
Diagnostic analytics tools enable you to identify meaningful correlations in data from multiple sources. By using the processing power of machine learning in the cloud, you can move from analyzing the past to using predictive analytics to see where partial patterns in your data are headed.
Finally, prescriptive analytics go beyond predictive analytics to help you determine actionable operational strategies based on predictive models. By comparing patients with similar demographic characteristics and symptoms, prescriptive models can help to improve treatment results.
Operational Analytics case studies in the health industry
Try a related app
Properpay - CGI Federal
CGI ProperPay is a medical claim analytics solution enabling healthcare payers to easily and securely identify, predict and prevent improper payments of inpatient, outpatient…
Connect with a Microsoft partner
Our health and technology experts implement strategies that enhance citizen services, foster interoperability, secure the exchange of health information and enable compliance with federal mandates and legislation.Learn more
At KPMG, we understand that healthcare and life science organizations are operating in a highly regulated environment, with changing business models, disruptive technologies, and significant amounts of data.Learn more
Contact a Microsoft Technology Center
Get in touch with a local MTC near you. Our architects can deliver a customer workshop to address your specific business needs.
Contact your Microsoft account representative or call 1-800-426-9400
Operational Analytics is powered by
A growing collection of integrated cloud services that developers and IT professionals use to build, deploy, and manage applications through our global network of datacenters.
Transform your data into intelligent action with this fully managed big data and advanced analytics suite.
Build intelligent, mission-critical applications using a scalable, hybrid database platform that has everything built in—from in-memory performance and advanced security to in-database analytics.