Large scale data processing

1. Large scale data processing Prof V.B.Narayanamurthy FRCS Consultant Plastic surgeon Adjunct Professor Biomedical Engineering division Department of Applied Mechanics Sundaram Medical Foundation Chennai Indian Institute of Technology Madras.

2. DFSI Web site • Web site active • Cochin proceedings on with photos • Mumbai details have been up for a long time • Easy to remember address www.dfsi.in Members could have a meaningful interaction

3. Role of IT • Common platform to share and disseminate information • No geographical boundaries • No limit to number of people using it • No limit to the number of data that can be collected • Can be online • No part of India where doctors have no access

4. Data Collection • For looking at things we know • Gather wider and more data to validate • Confirm what we know • Disprove what has been known • Easier as we are looking at specific things • Data Processing

5. Data Collection • For looking at things we do not know • Looking for unusual associations • Collect data without prior bias • Will throw up surprising results • Difficult and expensive • Data Mining

6. Data Processing • Need for Nation wide data collection by DFSI • Preliminary discussions have been held • Data processing obviously will be the first exercise • Data to be collected can be compiled

7. Data Processing • The workbook will give us an idea of the data to be collected • Printable data is already there and the consensus book already brought out • Electronic version and agreeing to share the data nationwide need to be worked out

8. Large scale Data processing • Setting up National standards • Look at acceptable international standards • Compare practice standards in the country • Surveillance of standards in the country

9. Large scale Data processing • Consensus based on findings to change standards and practices • Audit either individual or on a large scale • Deviation from standards can be noted and discussed if there are beneficial effects

10. Large scale Data processing • Hardware • Can be outsourced • Software • Has to be developed will have to be customised • Personnel • Front office • Can be DFSI office or outsourced

11. Large scale • India is a big nation • Magnitude of the problem is big • Lot of centers may be interested • To truly reflect the status in the country many centers have to be included

12. Large scale • This is a chronic disease so allowance for repeat data entry • Thus the data processing assumes big proportion • Surrounding countries may be interested

13. Data –(to get maximum compliance) • Proforma • Clean data • Comprehensive but not very big - DFSI consensus • Inclusion of the centers • Primary • Secondary and Tertiary • Timing of the data entry • As early as possible • At the site of the clinic or practice • Definitely the same day

14. Data –(to get maximum compliance) • Correctness of the data entered • Ideally double checked • Independently • Objectivity to be maintained • Blood sugar levels etc • SW 10 etc and not non measurable data

15. Processing • Can be to a great extent automated • Systems to check ongoing analysis • Systems to check progress of the process of the analysis • Notice changes realtime • Make recommendations if significant deviations found

16. Goals of Large scale data Processing • Create statistics • Maintain standards • Needed for Health planning • Resource planning • Finance • HR • Research and publications

17. The Future • Data Mining

18. Thank You