DHANWANTARI :  AN ANDROID APPLICATION TO INCREASE SERVICE DELIVERY IN HEALTHCARE INDUSTRY

When patients receive care or services, inefficiency can be defined as using more inputs (or resources) than is necessary, and it is associated with unnecessary variation in operational and clinical processes. Among the 8.6 million preventable deaths in 2016, more than 1 million were caused by neonatal problems and tuberculosis in those who accessed the health system but received poor quality of care.

Content

Author and article information

Journal

Title: ScienceOpen Preprints

Publisher: ScienceOpen

Publication date (Electronic preprint): 5 May 2022

Affiliations

[1 ] Computer Science, University of Delhi, Benito Juarez Marg, South Campus, South Moti Bagh, New Delhi, Delhi 110021

Author notes

[* ]Email: ansh@ 123456gbsssrajokari.org.in .

Author information

Ansh Tiwari https://orcid.org/0000-0003-2744-0332

Article

DOI: 10.14293/S2199-1006.1.SOR-.PPWFVIU.v1

SO-VID: 0c66af64-efb1-48a0-9cb9-f46a385762b7

License:

This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

History

Date received : 5 May 2022

Data availability: The data that support the findings of this study are available from https://impact.dbmi.columbia.edu/~friedma/Projects/DiseaseSymptomKB/index.html but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of https://impact.dbmi.columbia.edu/~friedma/Projects/DiseaseSymptomKB/index.html.

ScienceOpen disciplines: Software engineering,Artificial intelligence,Human-computer-interaction

Keywords: Remote Patient Monitoring,Machine Learning Algorithm,Online Prescription Management,Online Medical Management

References

Das Jishnu, Hammer Jeffrey. Money for nothing: The dire straits of medical practice in Delhi, India. Journal of Development Economics. Vol. 83(1):1–36. 2007. Elsevier BV. [Cross Ref]
Sime Arin W.. WebRTC: delivering telehealth in the browser. mHealth. Vol. 2:2016. AME Publishing Company. [Cross Ref]
Dean B. What is a prescribing error? Quality in Health Care. Vol. 9(4):232–237. 2000. BMJ. [Cross Ref]
Ferner Robin E, Aronson Jeffrey K. Clarification of Terminology in Medication Errors. Drug Safety. Vol. 29(11):1011–1022. 2006. Springer Science and Business Media LLC. [Cross Ref]
Cornish Patricia L., Knowles Sandra R., Marchesano Romina, Tam Vincent, Shadowitz Steven, Juurlink David N., Etchells Edward E.. Unintended Medication Discrepancies at the Time of Hospital Admission. Archives of Internal Medicine. Vol. 165(4)2005. American Medical Association (AMA). [Cross Ref]
Malasinghe Lakmini P., Ramzan Naeem, Dahal Keshav. Remote patient monitoring: a comprehensive study. Journal of Ambient Intelligence and Humanized Computing. Vol. 10(1):57–76. 2019. Springer Science and Business Media LLC. [Cross Ref]
Lee Sandra, Huang Hui, Zelen Marvin. Early detection of disease and scheduling of screening examinations. Statistical Methods in Medical Research. Vol. 13(6):443–456. 2004. SAGE Publications. [Cross Ref]

Comments

Comment on this article

[1] Das Jishnu, Hammer Jeffrey. Money for nothing: The dire straits of medical practice in Delhi, India. Journal of Development Economics. Vol. 83(1):1–36. 2007. Elsevier BV. [Cross Ref]

[2] Sime Arin W.. WebRTC: delivering telehealth in the browser. mHealth. Vol. 2:2016. AME Publishing Company. [Cross Ref]

[3] Dean B. What is a prescribing error? Quality in Health Care. Vol. 9(4):232–237. 2000. BMJ. [Cross Ref]

[4] Ferner Robin E, Aronson Jeffrey K. Clarification of Terminology in Medication Errors. Drug Safety. Vol. 29(11):1011–1022. 2006. Springer Science and Business Media LLC. [Cross Ref]

[5] Cornish Patricia L., Knowles Sandra R., Marchesano Romina, Tam Vincent, Shadowitz Steven, Juurlink David N., Etchells Edward E.. Unintended Medication Discrepancies at the Time of Hospital Admission. Archives of Internal Medicine. Vol. 165(4)2005. American Medical Association (AMA). [Cross Ref]

[6] Malasinghe Lakmini P., Ramzan Naeem, Dahal Keshav. Remote patient monitoring: a comprehensive study. Journal of Ambient Intelligence and Humanized Computing. Vol. 10(1):57–76. 2019. Springer Science and Business Media LLC. [Cross Ref]

[7] Lee Sandra, Huang Hui, Zelen Marvin. Early detection of disease and scheduling of screening examinations. Statistical Methods in Medical Research. Vol. 13(6):443–456. 2004. SAGE Publications. [Cross Ref]