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Hospital Information System

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A Guide to Hospital Administration and Planning
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Abstract

This chapter provides a deep insight to the implementation of IT-enabled decision support system in the hospital. It includes details about the hardware and software aspects and challenges associated with its incorporation in different types of hospitals. It also discusses in detail the fundamentals and significance of ICD coding mechanism and its stepwise implementation in a hospital.

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References

  1. Ismail NI , Abdullah NH, Shamsudin A, and Ariffin NAN, Implementation Differences of Hospital Information System (HIS) in Malaysian Public Hospitals., International Journal of Social Science and Humanity, Vol. 3, No. 2, March 2013,115

    Google Scholar 

  2. Clifford, G.D. Shortliffe Edward H, Cimino James J “Biomedical Informatics; Computer Applications in Health Care and Biomedicine”. BioMed Eng OnLine 5, 61 (2006). https://doi.org/10.1186/1475-925X-5-61

  3. https://www.dictionary.com/browse/information

  4. Davis/Olson: Management Information System, 1985, http://www.perflensburg.se/Privatsida/cp-web/INFODAOL.HTM

  5. https://www.esraa.edu.iq/modules/lect/lect/98590123852570080.pdf

  6. Hossein Ahmadi, Mehrbakhsh Nilashi, Alireza Almaee, Mohammad Soltani, et al, Multi-level Model for the Adoption of Hospital Information System: A Case on Malaysia, JOURNAL OF SOFT COMPUTING AND DECISION SUPPORT SYSTEMS, Vol 3 No 1 (2016)

    Google Scholar 

  7. Mehdi Babaei, Jafar Beikzad, Management information system, challenges and solutions, European Online Journal of Natural and Social Sciences 2013; vol.2, No. 3(s), pp. 374-381, ISSN 1805-3602

    Google Scholar 

  8. Morris F. Collen, Randolph A. Miller, The Early History of Hospital Information Systems for Inpatient Care in the United States, The History of Medical Informatics in the United States, January 2015, https://doi.org/10.1007/978-1-4471-6732-7_6

  9. https://medicalequipment.moreptt.com/info/129436

    Google Scholar 

  10. News Letter, European Union of General Practitioners, Objectives for Health Care Information Systems and Electronic Health Records in Primary Care,11/03/2004

    Google Scholar 

  11. James A O’Brein, George M Marakas, Ramesh Behl, Management Information Systems, Ninth Edition, Chapter 1, Section II, pg 31, Tata McGraw Hill Education Private Limited, New Delhi

    Google Scholar 

  12. Shaw C (2003). How can hospital performance be measured and monitored? Copenhagen, WHO Regional Office for Europe (Health Evidence Network report.

    Google Scholar 

  13. https://www.iapb.org/news/effective-utilization-of-hospital-management-information-system-hmis/

  14. Ashmita Gupta, Ashutosh Niranajan, Hospital Management and Control System, European Journal of Molecular & Clinical Medicine, Volume 07, Issue 06, 2020, pg1079–1085, ISSN 2515-8260

    Google Scholar 

  15. Osheroff, J. et al. Improving Outcomes with Clinical Decision Support: An Implementer’s Guide. (HIMSS Publishing, 2012).

    Google Scholar 

  16. Sutton, R.T., Pincock, D., Baumgart, D.C. et al. An overview of clinical decision support systems: benefits, risks, and strategies for success. npj Digit Med. 3, 17 (2020). https://doi.org/10.1038/s41746-020-0221-y

    Article  Google Scholar 

  17. Vonbach, P., Dubied, A., Krähenbühl, S. & Beer, J. H. Prevalence of drug-drug interactions at hospital entry and during hospital stay of patients in internal medicine. Eur. J. Intern. Med. 19, 413–420 (2008).

    Article  Google Scholar 

  18. Koutkias, V. & Bouaud, J. Contributions from the 2017 Literature on Clinical Decision Support. Yearb. Med. Inf. 27, 122–128 (2018).

    Article  CAS  Google Scholar 

  19. Cornu, P., Phansalkar, S., Seger, D. L., Cho, I. & Pontefract, S. International Journal of Medical Informatics High-priority and low-priority drug–drug interactions in different international electronic health record systems: a comparative study. Int. J. Med. Inf. 111, 165–171 (2018).

    Article  Google Scholar 

  20. D. J. Power, A Brief History of Decision Support Systems, Editor, DSSResources.COM, https://dssresources.com/history/dsshistory.html

  21. Dan Power, Types of decision support systems (DSS), https://www.gdrc.org/decision/dss-types.html

  22. Berner, E. S. (Ed.). Clinical Decision Support Systems (Springer, New York, NY, 2007).

    Google Scholar 

  23. Osheroff, J., Pifer, E., Teigh, J., Sittig, D. & Jenders, R. Improving Outcomes with Clinical Decision Support: An Implementer’s Guide. (HIMS, 2005).

    Google Scholar 

  24. Iacopo Cricelli, Genomedics Srl, Ettore Maconi, Health Search, Italian College of General Practitioners and Primary Care and Francesco Lapi, Clinical Decision Support System (CDSS) in primary care: from pragmatic use to the best approach to assess their benefit/risk profile in clinical practice, March 2022, Current Medical Research and Opinion 38(5):1-8, https://doi.org/10.1080/03007995.2022.2052513

  25. Jia, P., Zhang, L., Chen, J., Zhao, P. & Zhang, M. The effects of clinical decision support systems on medication safety: an overview. PLoS ONE 11, 1–17 (2016).

    Article  Google Scholar 

  26. Davis, D. A. & Taylor-Vaisey, A. Translating guidelines into practice: a systematic review of theoretic concepts, practical experience and research evidence in the adoption of clinical practice guidelines. Can. Med. Assoc. J. 157, 408–416 (1997).

    CAS  Google Scholar 

  27. Salem, H. et al. A multicentre integration of a computer led follow up in surgical oncology is valid and safe. BJU Int. https://doi.org/10.1111/bju.14157 (2018).

  28. McMullin, S. T. et al. Impact of an evidence-based computerized decision support system on primary care prescription costs. Ann. Fam. Med. 2, 494–498 (2004).

    Article  Google Scholar 

  29. Bell, C. M., Jalali, A. & Mensah, E. A decision support tool for using an ICD-10 anatomographer to address admission coding inaccuracies: a commentary. Online J. Public Health Inform. 5, 222 (2013).

    Article  Google Scholar 

  30. Haberman, S. et al. Effect of clinical-decision support on documentation compliance in an electronic medical record. Obstet. Gynecol. 114, 311–317 (2009).

    Article  Google Scholar 

  31. Berner, E. S. Diagnostic decision support systems: why aren’t they used more and what can we do about it? AMIA Annu. Symp. Proc. 2006, 1167–1168 (2006).

    Google Scholar 

  32. Kunhimangalam, R., Ovallath, S. & Joseph, P. K. A clinical decision support system with an integrated EMR for diagnosis of peripheral neuropathy. J. Med. Syst. 38, 38 (2014).

    Article  Google Scholar 

  33. Martinez-Franco, A. I. et al. Diagnostic accuracy in Family Medicine residents using a clinical decision support system (DXplain): a randomized-controlled trial. Diagn. Berl. Ger. 5, 71–76 (2018).

    Article  Google Scholar 

  34. From Invisible to Visible: IBM Demos AI to Radiologists. https://www-03.ibm.com/press/us/en/pressrelease/51146.ws. Accessed Aug 2019 (2016).

  35. Rosenbloom, S. T. et al. Triaging patients at risk of influenza using a patient portal. J. Am. Med. Inf. Assoc. 19, 549–554 (2012).

    Article  Google Scholar 

  36. Dowding, D. et al. Nurses’ use of computerised clinical decision support systems: A case site analysis. J. Clin. Nurs. 18, 1159–1167 (2009).

    Article  Google Scholar 

  37. EHRIntelligence. 5 Ways States Mandate Health Information Exchange. https://ehrintelligence.com/news/5-ways-states-mandate-health-information-exchange. Accessed Aug 2019 (2015).

  38. Ash, J. S., Sittig, D. F., Campbell, E. M., Guappone, K. P. & Dykstra, R. H. Some unintended consequences of clinical decision support systems. AMIA Annu Symp. Proc. AMIA Symp. AMIA Symp. 2007, 26–30 (2007).

    Google Scholar 

  39. Kilsdonk, E., Peute, L. W., Riezebos, R. J., Kremer, L. C. & Jaspers, M. W. M. Uncovering healthcare practitioners’ information processing using the think-aloud method: From paper-based guideline to clinical decision support system. Int. J. Med. Inf. 86, 10–19 (2016).

    Article  CAS  Google Scholar 

  40. Harrison, J.E., Weber, S., Jakob, R. et al. ICD-11: an international classification of diseases for the twenty-first century. BMC Med Inform Decis Mak 21, 206 (2021). https://doi.org/10.1186/s12911-021-01534-6

    Article  Google Scholar 

  41. Wood PH. Applications of the international classification of diseases. World Health Stat Q. 1990;43:263–8.

    CAS  Google Scholar 

  42. World Health Organization. World health statistics. 2020. http://www.who.int/gho/publications/world_health_statistics/en. Accessed 12 April 2022

  43. World Health Organization. International Statistical Classification of Diseases and Related Health Problems—10th revision: Volume 2—instruction manual (2nd ed.). Geneva: World Health Organization; 2004.

    Google Scholar 

  44. World Health Organization. ICD-11 coding tool. https://icd.who.int/ct11/icd11_mms/en/release. Accessed 12 April 2022

  45. Damen W, Kilsdonk A, Vander WA. Information Networks, Hospital Management, Sterling Publications Ltd., Netherlands, 1991; 568.

    Google Scholar 

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Correspondence to Divya Rao .

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Rao, D., Venkatesh, Mamatha, H.K., Shalini, N. (2023). Hospital Information System. In: Bhatia, D., Chaudhari, P.K., Chaudhary, B., Sharma, S., Dhingra, K. (eds) A Guide to Hospital Administration and Planning. Springer, Singapore. https://doi.org/10.1007/978-981-19-6692-7_7

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  • DOI: https://doi.org/10.1007/978-981-19-6692-7_7

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