Wear Big Analytic Data SAP HANA, hospitals in the u.s. Save millions of Dollar
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One of them is with the use of the platform SAP HANA to data analysis of the patient, emnjadikan hospital in the us faster and more agile to cope with various challenges in the world of health.
Previously, hospitals in the u.s. many are experiencing limitations due to patient handling data source is lacking. There is no real time analysis to help improve the quality of care and reduce costs.
By attracting patients from various sources and put them in SAP HANA, healthcare providers now have one single overview data of their patients to get more in depth information on request of the patient.
SAP user HAHA first in the nation among others, Mercy, Parkland Health & Hospital System, and Sutter Health.
Mercy has a network of 45 acute care hospital and specialty, as well as the hiring of 40 thousand employees in Arkansas, Kansas, Missouri, and Oklahoma.
By using SAP HANA, Mercy can save 9 million us dollars a year in operational costs. With SAP HANA also, this hospital network can improve laboratory services up to 1 million u.s. dollars.
The hospital also get more detailed transaction details to support growth, and high staff productivity, assisted access to information technology (it).
While the Parkland Health & Hospital System is one of the largest public hospital system in the us. This system includes 20 community-based clinics, 12 school-based clinics and a variety of outreach and education programs.
With SAP HANA, Parkland setting up analysis and reporting company. Currently, employees of the Parkland has been able to perform thorough analysis of patient data to provide better care and service to patients.
While Sutter Health based in Northern California, is the non-profit health system with more than 5,000 doctors are affiliated. By developing a central system for the company's data management, analysis and reporting, Sutter achieved some things.
Among other things, the processing of reports that 40 times faster. Agility to manage the growth and complexity of processing of several series of data the external data sets with payer clinical internally.
Increased 87 percent predict re-registration. Only 1 percent error rate in the depiction of storage (storage) and showcase (display). As well as, the ability to help predict the peak moments of asthma attacks to help emergency unit staff appropriately.
"SAP HANA has the ability to digest and integrate information from data sources that there is a demand," said Souvik Das, Chief Scientist and architect of Big data the Data on Sutter Health, through the description of the press to post compass.
"This allows organizations and vendors to see more prospective data to predict the volume of patients in certain divisions. Predictions and analysis we did have real-life applications in improving patient access to care ".
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