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Study on Health Care IT infrastructure

Study on Health Care IT infrastructure. Presented by Samuel Kasimalla Under Supervision of Dr Box. Topics covered. Planning and Implementation a project Phases of implementing a health care based large project. Various published frameworks Cloud based approach

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Study on Health Care IT infrastructure

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  1. Study on Health Care IT infrastructure Presented by Samuel Kasimalla Under Supervision of Dr Box

  2. Topics covered • Planning and Implementation a project • Phases of implementing a health care based large project. • Various published frameworks • Cloud based approach • Data Mining in Health care. • Privacy preserving sharing of information • High performance computing for data mining

  3. Planning and Implementation a project A good planning package should • Provide Guiding strategy for allocating resources • Maximizes the value provided by resources invested • Identifies technological opportunities or threats • Optimizes prioritization in systems integration • Meets standards of care • Reduces operating costs • Reduces risk exposure.

  4. Phases of implementing a health care based large project. (1/2) • Difficult to implement in one phase. • Eg: Digitalization of hospital records. • Follow Project management techniques

  5. Phases of implementing a health care based large project. (2/2)

  6. Various published frameworks (1/1) • Distributed Data Mining From Heterogeneous Healthcare Data Repositories: Towards an Intelligent Agent-Based Framework • Agent-based DM Info-structure (ADMI)

  7. Various published frameworks (1/1) • Design and Implementation of Interoperable Medical Information System Based on SOA

  8. Cloud based approach • A Cloud Computing Framework for Real-time Rural and Remote Service of Critical Care • All nodes need not be powerful computers

  9. Data Mining in Health care. • Data mining

  10. Privacy preserving sharing of information • Development of Data Authenticity Verification System in Regional Health Information Network Image Source: PRIVACY-PRESERVING DATA MINING MODELS AND ALGORITHMS

  11. High performance computing for data mining • Scalable Data Mining with Log Based Consistency DSM for High Performance Distributed Computing • Log Based Consistency Mechanism

  12. References • [1x] Privacy Preserving Distributed Learning Clustering Of HealthCare Data Using Cryptography Protocols Ahmed M. Elmisery, Huaiguo Fu • [2x] Interoperability of Medical Device Information and the Clinical Applications: An HL7 RMIM based on the ISO/IEEE 11073 DIM. Mustafa Yuksel and AsumanDogac • [3x] Towards a Framework for Health Information Systems EvaluationMaryatiMohd. Yusof, Ray J. Paul, Lampros K. Stergioulas • [4x] Research and Implementation of Transmitting and Interchanging Medical Information based on HL7 • Xiaoqi LU, Yu GU*, Lidong YANG, Weitao JIA, Lei Wang • [5x] Development of Data Authenticity Verification System in Regional Health Information Network • ZHOU Tian-shu, LI Jing-song , ZHANG Xiao-guang, HU Zhen, YU Hai-yan, CHEN Huan • [6x] Distributed Data Mining From Heterogeneous Healthcare Data Repositories: Towards an Intelligent Agent-Based Framework Syed Zahid Hassan Zaidi Syed SibteRazaAbidiSelvakumarManickam • [7x] Design and Implementation of Interoperable Medical Information System Based on SOA • ZHANG Xiao-guang, LI Jing-song, ZHOU Tian-shu, YANG Yi-bing, CHEN Yun-qi , XUE Wan-guo, ZHAO Jun-ping • All the images are from the above mentioned papers, taken only for purpose of presentation

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