transhis based software in serbia overview, scope and challenges
TRANSCRIPT
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Transhis based software in Serbia
Overview, Scope and Challenges
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Beginnings - 2002
• Start with one pilot practice
Oh, no!! Not
now!!!!
Well… Wrong!!@%!
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Basic Health Services Pilot Project 2002-2005
• Immediate growth– Kraljevo Municipality– 24 Facilities– 50 GP Teams– 70,000 records– 2 SW versions
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Step-by-step Rollout
10 51 53 79 132196 203 228
500
1000
0
200
400
600
800
1000
1200
2002 2003 2004 2005 2006 2007 2008 2009 MOHPlanfor
2010
MOHPlanfor
2011
No of Facilities
No of GPs
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Advantages of SW Concept
• Very fast training process• Good mapping with ICD and HIF price
lists• Excellent data model for any additional
reporting and scientific analysis• Good ergonomics and work flow control• Fast data entry and information structure• Compliance with international e-health
standards
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Disadvantages of SW Concept
• Lack of institutional support to ICPC-2, data analysis and benefit evaluation
• Comprehension of data acquisition vs. usability of data
• Sophistication vs. lack of resources
• Sophistication vs. laconic competition
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ICPC – Status in e-health
• No MoH participation• No academic support• No awareness on data available, no data
analysis mechanism in place• Embedded in policy documents
– Standards for EPR development– Conceptual model of e-health
• Mapping between HIF electronic invoice price list and intervention codes
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Plans
• One of 3 certificated and recognized PHC SWs
• National Roll-out from World Bank funds
• Application service providing
• MoH/HIF funding for maintenance and support
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Transhis based SW
• In public domain
• Technology – web application
• Adequate for off line regime and limited connectivity
• Centralized maintenance
• Functional framework goes beyond GP
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Practice Management Support
• Shift scheduling and team work
• Appointment system – no bottlenecks
• Repeated prescription – 42% of RfE
• Stock management
• Electronic referrals
• Electronic Health Record connectivity
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Acquired Data (so far)
• Users – 600 (230 GPs)
• Patients – 197,000
• Encounters – 3.9 millions
• Prescriptions – 6.4 millions
• Episodes – 550,000
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What Should Be Done?
• Institutional agreement
• User group organization
• User support
• Data analysis tools implementation
• International Transhis collaboration