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Transhis based software in Serbia

Transhis based software in Serbia. Overview, Scope and Challenges. Beginnings - 2002. Well… Wrong!. Start with one pilot practice. !@%!. Oh, no!! Not now!!!!. Basic Health Services Pilot Project 2002-2005. Immediate growth Kraljevo Municipality 24 Facilities 50 GP Teams 70,000 records

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Transhis based software in Serbia

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  1. Transhis based software in Serbia Overview, Scope and Challenges

  2. Beginnings - 2002 Well… Wrong! • Start with one pilot practice !@%! Oh, no!! Not now!!!!

  3. Basic Health Services Pilot Project 2002-2005 • Immediate growth • Kraljevo Municipality • 24 Facilities • 50 GP Teams • 70,000 records • 2 SW versions

  4. Step-by-step Rollout

  5. 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

  6. 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

  7. 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

  8. 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

  9. Transhis based SW • In public domain • Technology – web application • Adequate for off line regime and limited connectivity • Centralized maintenance • Functional framework goes beyond GP

  10. 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

  11. Acquired Data (so far) • Users – 600 (230 GPs) • Patients – 197,000 • Encounters – 3.9 millions • Prescriptions – 6.4 millions • Episodes – 550,000

  12. What Should Be Done? • Institutional agreement • User group organization • User support • Data analysis tools implementation • International Transhis collaboration

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