Advertisement

EHR Model for India: To Address Challenges in Quality Healthcare

  • Prashant KanadeEmail author
  • Divya Bhatnagar
  • Arun Kumar
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)

Abstract

In this paper there is a discussion on providing a standard system for health care service providers and patients. We have carried out the detailed study of guidelines provided by ministry of health and family welfare to adopt the electronic health record system. The major aim is to eliminate the conventional health record system. The major focus in this research is to propose the interoperable electronic health Record system (IEHR), and test the feasibility and acceptance of the EHR. Further there is a scope to promote the services in select locations such as hospitals and primary health centers. Medical centers can store patient’s health information with minimal efforts. This paper is an overview of how Electronic Health Record (EHR) standards can be adopted by various organizations. EHR systems implementation scope is very well discussed. In this there is a short description of such standards.

Keywords

Electronic Health Record Patient EHR standards SNOMEDCT ICD10 HL7 Health care 

References

  1. 1.
    Bajaj D, Bharati U, Ahuja R, Goel A (2017) Role of Hadoop in big data analytics, CSI communication April, pp 14–18Google Scholar
  2. 2.
    Blumenthal D, Future of healthcare and medical recordsGoogle Scholar
  3. 3.
    Bhattachrya I, Muju S (2012) Need of interoperability standards for healthcare in India. CSI Journal of Computing 1(4)Google Scholar
  4. 4.
    Cyganek B, Selected aspects of EHR analysis from big data perspective. In: IEEE 2015 international conference on bioinformatics and biomedicine, pp 1391–1396Google Scholar
  5. 5.
    EHR Standards for India, guidelines given by Ministry of Health and Family welfare, April-2016, e-governance DivisionGoogle Scholar
  6. 6.
    EI-Gayar O, Timsina P (2014) Opportunities of business intelligence and big data analytics in evidence based medicine. In: IEEE 47th Hawai international conference on system science, pp 749–757Google Scholar
  7. 7.
    Sinha P, Sunder G, Mantri M, Bendale P, Dande A Book Titled “Electronic Health Record: Standards Coding Systems Framework, and Infrastructures” by IEEE Press, Published by John WileyGoogle Scholar
  8. 8.
    Fisher D, DeLine R, Czerwinski M, Drucker S (2012) Interactions with big data analytics, ACM interactions microsoft research May–June 2012 pp 50–59Google Scholar
  9. 9.
    Gholap J, Janeja VP, Yelena Y (2015) Unified framework for Clinical Data Analysis (U-CDA). In: IEEE international conference on big data 2015, pp 2939–2941Google Scholar
  10. 10.
    Grana M, Jackwoski K (2015) EHR: A review. In: IEEE international conference on bioinformatics and biomedicine, pp 1375–1379Google Scholar
  11. 11.
    Hein R CIO Nov 2012, IT Health care Trends for Technology job seekers in 2013Google Scholar
  12. 12.
    How to Build a successful data lake Data lake whitepaper on http://www.knowledgent.com (2017)
  13. 13.
    Humm BG, Walsh P (2015) Flexible yet efficient management of health records. In: IEEE conference on computational science and computational intelligence, pp 771–775Google Scholar
  14. 14.
    Karkouch A (2015) Data quality enhancement in IOT environment. In: IEEE international conference on computer systems and applications, MoroccoGoogle Scholar
  15. 15.
    Lee E (2013) 5 ways technology is transforming health care, IBM Forbes Brandvoice Contribution January 2013 http://onforb.es/Y16Mno
  16. 16.
    Lu J, Keech M (2015) Emerging technologies for health data analytics research: a conceptual architecture. In: Jing Lu, Malcom Keech (eds.) IEEE workshop on data base and expert system applications 2015, pp 225–229Google Scholar
  17. 17.
    Nobles A, Vilankar K, Wu H, Barnes L (2015) Evaluation of data quality of multisite electronic health record data for secondary analysis. In: IEEE international conference on big data, pp 2612–2620Google Scholar
  18. 18.
    Ozair FF, Nayer J, Sharma A, Aggarwall P (2015) Ethical issues in electronic health records: A general overview. Perspect Clin Res. Apr–Jun 6(2): 73–76.  https://doi.org/10.4103/2229-3485.153997. US National Library of MedicineCrossRefGoogle Scholar
  19. 19.
    Pan L, Fu X, Fang C (2016) A compact electronic medical record system for regional clinics and health centers in china: design and implementation conference on bioinformatics and biomedicine, pp 1010–1015Google Scholar
  20. 20.
    Patil HK, Sheshadri R (2014) Big data security and privacy issues in Healthcare. In: IEEE big data international congress 2014, pp 762–765Google Scholar
  21. 21.
    Rajivlochan M, Rajivlochan M, Public or private, patient-centric care is non-existent in India, Aug 30 Hindustan TimesGoogle Scholar
  22. 22.
    Raghupathi W, Raghupathi, V (2014) The promise and potential of big data analytics in healthcare US National Library of MedicineGoogle Scholar
  23. 23.
    Remya P, Data lake: next generation data storage system in big data analytics, April 2017 CSI CommunicationsGoogle Scholar
  24. 24.
    Seth Early, The promise of healthcare analytics IEEE 2015Google Scholar
  25. 25.
    Nayak SK, Tripathy S Privacy preserving provable data possession for cloud based EHR system, IEEE 2016Google Scholar
  26. 26.
    Shankar K, Application of analytics to big data in healthcare, IEEE 2016Google Scholar
  27. 27.
    Sharma S, Hindustan Times, New Delhi, India’s public health system in crisis: too many patients, not enough doctors updated: Aug 29, 2017Google Scholar
  28. 28.
    Vindhya T, Jagdeesan S, Pooja Efficient privacy preservation technique for maintaining healthcare records using big data, pp 2922–2926.  https://doi.org/10.15680/ijircce.2016.0403005
  29. 29.
    Venkatesh, Unified Theory of acceptance and Use of Technology(UTAUT)Google Scholar
  30. 30.
    Yu WD, Gottumukkala AC, Deenash AS, Prabhu M, Khonde T Big data analytics in healthcare, IEEE 2016Google Scholar
  31. 31.
    Yue X, Wang H, Jin D, Li M, Jiang W (2016) Healthcare data gateway: found healthcare intelligence on blockchain with novel privacy risk control. J Med Syst 40:218.  https://doi.org/10.1007/s10916-016-0574-6CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Sir Padampat Singhania UniversityUdaipurIndia

Personalised recommendations