Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

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Integrating Machine Learning with Electronic Health Records for Improved Patient Outcomes

Authors
R. Navyatha1, *, K. Supriya2, C. V. P. R. Prasad3, Nagamani Chippada4, J. Sasi Bhanu5, K. V. Ranga Rao6
1Assistant Professor, CSE-DS, MLR Institute of Technology, Dundigal, Hyderabad, Telangana, India
2Assistant Professor, Dept of CSE- IoT, Mallareddy Engineering College (Autonomous), Maisammaguda, Dhulapally, Hyderabad, Telangana, India
3Professor & Dean, Department of CSE, Malla Reddy Engineering College for Women, Hyderabad, Telangana, India
4Associate Professor, Department of CSE, Koneru Lakshmaiah Education Foundation (KLEF), KL University, Vaddeswaram, Guntur, Andhra Pradesh, India
5Professor, CMR College of Engineering and Technology, Kandlakoya, Hyderabad, Telangana, India
6Professor and head, Department of CSE, Neil Geogte Institute of Technology, Hyderabad, Telangana, India
*Corresponding author. Email: navyatha.govindu33@gmail.com
Corresponding Author
R. Navyatha
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_107How to use a DOI?
Keywords
Machine Learning; Electronic Health Records; Patient Outcomes; Predictive Analytics; Healthcare
Abstract

Expansion to connect the ML with the EHRs may revolutionize the health care delivery in a manner that is prognostic to the patient’s outcome. This paper reflects on the roles of ML in enriching EHRs especially on aspects of predictive modeling, clinical care, individual care as well as the decision assisting tools. In this paper, we explain the results of using various machine learning approaches to EHR data and demonstrate that analysis of this kind is informative in terms of the probability of achieving a target state and possible enhancement of healthcare processes. The findings of the present study show that it is feasible to enhance the coefficient of effective treatment and minimize the comprehensive rate of recurrent readmission using the techniques of ML. Finally, this paper has outlined different implications that result from this integration for the future practice of health care as well as policies.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series
Advances in Computer Science Research
Publication Date
23 May 2025
ISBN
978-94-6463-718-2
ISSN
2352-538X
DOI
10.2991/978-94-6463-718-2_107How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - R. Navyatha
AU  - K. Supriya
AU  - C. V. P. R. Prasad
AU  - Nagamani Chippada
AU  - J. Sasi Bhanu
AU  - K. V. Ranga Rao
PY  - 2025
DA  - 2025/05/23
TI  - Integrating Machine Learning with Electronic Health Records for Improved Patient Outcomes
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 1291
EP  - 1298
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_107
DO  - 10.2991/978-94-6463-718-2_107
ID  - Navyatha2025
ER  -