Top Five Uses of Data Analytics in Hospitals
Hospitals today are under pressure to improve patient care by adopting the latest technologies, which subsequently increases the cost of care. Hospitals have to fine-tune this trade-off to provide the best possible care by incurring reasonable costs. Advancements in the field of data analytics have enabled hospitals to achieve operational efficiency and improve their quality […]READ MORE >>
Hospitals today are under pressure to improve patient care by adopting the latest technologies, which subsequently increases the cost of care. Hospitals have to fine-tune this trade-off to provide the best possible care by incurring reasonable costs. Advancements in the field of data analytics have enabled hospitals to achieve operational efficiency and improve their quality of care. Here are some of the reasons how hospitals are using data analytics to boost their performance:
#1 – Administrative Cost Optimization
All day-to-day tasks within a hospital generate a lot of data relating to patient admissions, patient service time, wait-times, and drug inventory. Such data can be processed by data analytics tools to optimize workforce, patient management, and drug inventory to save on administrative costs.
#2 – Improve Patient Wellness and Outcomes
Hospitals keep track of their patient records and with the help of data fed from wearable devices, they can monitor and remind patients to maintain a healthy lifestyle. Data analytics can be used to suggest patient’s necessary modifications that are required in their lifestyle to improve their health condition.
#3 – Identify Fraud and Abuse
Hospitals can identify insurance frauds and abuse cases by analyzing large unstructured data sets of claims and use machine learning algorithms to identify suspicious patterns and anomalies. Fraud cases can be easily identified through the identification of specific patterns such as patient visiting multiple hospitals for the same case, over utilizing services in a short time, or filing for the same prescription in multiple places.
#4 – Clinical Decision Support
The doctors are equipped with electronic health records of a patient’s case, be it x-ray, medical history, or any reports. Use of data analytics tools provides doctors with a dashboard to access all information relating to a patient with ease. It helps the doctors in providing the best mode of treatment to the patient to improve outcome.
#5 – Obtain Actionable Insights
Data analytics tools can provide the hospitals with key metrics such as patient admission rate, treatment errors, mortality rates, and readmission cases. A quick comparison of such metrics with industry standards can identify problem areas so that they can take corrective actions to ensure patient safety.
For more information on big data analytics and its implication on hospitals:
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