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3 Revolutionising Healthcare Industry through Data Science

Author: Ankit Jain
by Ankit Jain
Posted: Aug 01, 2017

What could be more precious than having better healthcare results? In the healthcare system, there is a massive amount of invaluable data that is waiting to be unearthed. Data science is being used to improve outcomes due to its ability to automate in fast, scalable, and precise ways. Each and everyday healthcare workers around the world are trying hard to find more ways of improving our lives. Out of the world’s total data, almost 30% is generated by the healthcare industry. A single patient generates about 80 MB’s each year in electronic medical record and imaging data. In spite of this fact Healthcare industries are far behind in using data science as compared to other Industries.

For more information visit: www.canopusdatainsights.com

According to the McKinsey & Company, Implementation of Data Science in Healthcare Industry could save $300 billion annually which actually is a large amount. And a LinkedIn research says, out of 6000 Data Scientists, only 180 are working in the hospital and health care field which needs to be increased.

There are various types of data which Healthcare industries generate like Hospital Claims Data, Clinical Data, Pharma R&D Data, Patient Behavior and Sentiment Data and much more.

Data Science has the computing power & algorithms to sift through patient data that could help in:

Medical resources allocationHospital operations managementOptimize/predict operating theatre & bed occupancy based on initial patient visit

Alerting and diagnostics from real-time patient dataEmbedded devices Exogenous data from devices to create diagnostic reports for doctors

Medicare/Medicaid fraudTackled at the claims processors, EDS is the biggest & uses proprietary tech

Prescription compliancePredicting who won't comply with their prescriptions

Physician attritionHospitals want to retain Drs who have to admit privileges in multiple hospitals.

Survival analysisAnalyze survival statistics for different patient attributes (age, blood type, gender, etc) and treatments

Medication (dosage) effectivenessAnalyze effects of admitting different types and dosage of medication for a disease.

Canopus Data Insights provides Data Science and Data Analytics services that enable customer centricity by giving insight into data, which improves productivity and increases the depth of customer engagement and predictive modeling to make big decisions. Canopus Data Insights has an extensive knowledge and experience working with many domains including Data Analytics, Machine Learning, Pattern Recognition, Statistics, Artificial Intelligence, Operations Research and Big Data. Our implementation experience includes working in different sectors like Health care, Pharmaceutical, Logistics, Manufacturing, Financial services, Retail, Marketing.

About the Author

Canopus Infosystems is an Iso 9001:2008 Certified Company that specializes in providing outsourced web & mobile development and testing services to clients worldwide.

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Author: Ankit Jain

Ankit Jain

Member since: Jun 08, 2017
Published articles: 178

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