Big Data for the Small Practice Connectivity, Management and Exchange. OSMA Education Symposium April 1, 2016

Transcription

1 Big Data for the Small Practice Connectivity, Management and Exchange OSMA Education Symposium April 1,

2 Big Data >> Describes the large volume of data both structured and unstructured that inundates a practice/business on a daily basis >> The amount of data is not important >> It is what organizations do with the data that matters >> Big data can be analyzed for insights that lead to better decisions and strategic business moves >> Combining big data with high-powered analytics, practices can optimize practice operations to produce more revenue Health Care System 2

3 Big Data Drives Value >> Numerous disruptive market forces >> Physician reimbursement changing >> Shift from Fee-for-Service (FFS) to Fee-for-Value reimbursement Affordable CareAct ACOs Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) State Innovation Model (SIM) Patient-Centered Medical Home (PCMH) Health plan value-based contracts Yesterday s Medical Practice >> Paper charts >> Retrieve patient data from multiple sources >> No patient flags for missed opportunities >> Year-end financial reports >> No evening or weekend hours >> No knowledge of patient population or where care is received 3

4 Modern Medical Practice >> Fully Electronic Health Records (EHR) All patient data available at point-of-care through Health Information Exchange (HIE) >> Identifies missed opportunities >> Electronic patient and physician notifications >> Increased data to evaluate financial and quality measures Variety of Data Sources Data from EHR or Registry >> Requires dedicated staff to monitor quality metrics to assure proper data capture in the EHR >> Ability to compare and generate frequent reports Health Information Exchanges (HIE) >> What data is available and how do you identify what is important clinically and financially? Data from Health Plans >> Claims data Vendor turns claims data into usable reports >> Quality data Health plans provide quality data on patients to assist in closing gaps in care Industry Standards >> Key business metrics are also available in real-time that allow quick assessment of changes in practice 4

5 Barriers to Big Data >> Lack of data integration and aggregation >> Lack of processes and clinical decision support systems (CDSS) >> Limited knowledge of value-based contracts or quality programs >> Lack of resources (people, technology, training) Most practices do not invest in report writing or training, BUT reports show financial and quality opportunities EHR vendors do a poor job explaining what reports should be generated and when Reports are often misunderstood Investment in technology The Need for Aggregated Data In order to make evidence-based decisions, clinicians need high quality data derived from multiple sources >> Inpatient and outpatient care >> Acute and chronic care settings >> Urban and rural care >> At-risk populations Health care data needs to be combined or aggregated to achieve statistical significance >> Majority of primary care is delivered by small practices Complete Accurate Quality Data Consistent Timely 5

6 Data Integration Data integration is key to practice sustainability in a value-driven health care market >> Estimated 31% of the U.S. $2.3 trillion health care bill is for administration 1 >> Data integration lower costs Share with HIEs Use of analytical software for data mining to examine optimal treatments, etc. Use of genomic data as part of the electronic record Local, state and federal governments for quality reporting and public health issues Laboratory, radiology, and consult feeds to eliminate unnecessary orders 1 Lohr,

7 7

8 Success Summary >> Big data previously not available to small practices Small practices used limited and incomplete data >> Modern technology allows small practices to have access to big data >> Accurate, real-time information is readily available >> Customized reports and those created by EHR vendors do the work >> Small practices that adopt the use of big data are well positioned for a multitude of benefits that will affect their bottom line and improve patient care 8

9 9