infographic the body as a source of big data healthit infographic
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NetApp InfographicTRANSCRIPT
The Power of Healthcare Data
Sources:1 http://www.netapp.com/us/media/wp-7169.pdf2 BCC Research Global Markets for Telemedicine Technologies (HLC014E). March 20123 2011 International Healthcare Data Management Survey. Survey allowed respondents to choose more than one.4 Markets and Markets Healthcare Data Analytics Market Research Report http://www.wcax.com/story/20212336/medical-analytics-market-237-cagr-for-healthcare-data- analytics-market-to-20175 http://www.cms.gov/regulations-and-guidance/legislation/ehrincentiveprograms/stage_2.html6 American Hospital Association Statistics 2013 edition, published annually by Health Forum, an affiliate of the American Hospital Association, according to their 2011 survey (the most recently published)7 http://datascienceseries.com/assets/blog/The_Age_of_Data-Driven_Medicine.pdf (page 9)8 http://www.zdnet.com/news/unstructured-data-challenge-or-asset/6356681
The Body as a Source of Big Data
Today data storage is essential for healthcare providers to see a patient’s complete story of care, make the most informed decisions and enhance treatment and outcomes.
Preventable conditions: Through the use of Big Data, healthcare providers can track the change in behavior of patients after treatment. Using this data, medical professionals can better educate patients on the resulting effects of their behavior.
Unwarranted use: Big Data analytics could help generate a model that implements a performance-based payment method.
Fraud waste & abuse: Using Big Data analytics,individuals who charge for services never rendered could be tracked much faster through by utilizing outlier detection algorithms.
Administrative costs: By updating billing systems and employing Big Data records management, facilities could spend less time working on bookkeeping and more time on providing accurate information to doctors and physicians’ assistants.
Provider inefficiencies: A wide implementation of clinical decision systems could reduce errors and increase congruency among various healthcare providers.
Lack of coordinated care: Improved sharing of information would open systems up to predictive modeling and also allow patients to view their history. This would allow the patient to have greater control in their treatment.
Cutting costs via Big Data can be done by adopting a six-part approach:
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0.5MBis generated
30MBX-RAY
120MBMAMMOGRAMS
3D MRI 150MB
1GB3D CT SCAN
PACS (picture archiving and communication systems) applications were
cited as the number-one
reason for healthcare data growth, at 63 percent,
followed by files held in the electronic health record (54 percent) and scanned documents such as proof of insurance (51 percent) 3
The Medicare and Medicaid ElectronicHealth Record Incentive Program nowincludes a measure for recording imagingresults via certified EHR technology. 5
20-40%Medical image archives are increasing by
annually 7
36.6MTotal admissions in U.S. registered
hospitals, according to the AmericanHospital Association 6Today,
80% of datais unstructured, such as images, video and email. 8
Common uses of health care analytics:More accurate diagnoses, streamlining
the cost of care, revenue reimbursement, outcomes and business analysis to
manage populations 4
665TBIt is estimated that by 2015, the average hospital will generate
of data 1
There are currently
425Ktelehealth providers in the U.S. 2
Access to electronic patientdata beyond the desktop