A Retrospective Study on the Shifting Model in Clinical Diagnostics Integrating Data Science With Medical Technology

7 Pages Posted: 3 Jan 2020 Last revised: 7 Jan 2020

See all articles by Swati Sikdar

Swati Sikdar

JIS College of Engineering

Sayanti Guha

JIS College of Engineering

Karabi Ganguly

JIS College of Engineering

Sandip Bag

JIS College of Engineering

Sriya Sona Lenka

JIS College of Engineering

Himali Barman

JIS College of Engineering

Date Written: December 13, 2019

Abstract

From the earliest times, the concept of ill health with its treatment is associated with the interpretation of multi-faceted health data. Large amount of information about a patient’s past medical records, symptomatology, diagnoses and responses to prescribe treatments and therapies needs to be collected as these informations are crucial to the clinical diagnostic process and that is why electronic health data are central to all medical care and research for large aggregate collection and analysis. Apart from the immediate clinical or diagnostic evaluation of these heterogeneous datasets, analysis of the same by utilizing software tools produces valuable information that leads to novel biomedical discoveries, improved diagnostics processes, advancements in epidemiology and biomedical research & education. Biomedical data science identifies the requirement of additional information and strategy formulation in understanding and controlling of specific health anomalies in a most effective manner. In fact, the model of biomedical data science is a simple reflection that reveals the fact that all medical care activities involve gathering, analyzing and storage of electronic health records. The paper is a retrospective study that provides a systematic review of the entire methodology, application and advances in Biomedical Data science which is a very promising and progressing section for advanced medical technology.

Keywords: electronic health records, health data, heterogeneous datasets, medical monitoring devices, physiological-signals, data science

Suggested Citation

Sikdar, Swati and Guha, Sayanti and Ganguly, Karabi and Bag, Sandip and Lenka, Sriya Sona and Barman, Himali, A Retrospective Study on the Shifting Model in Clinical Diagnostics Integrating Data Science With Medical Technology (December 13, 2019). 2nd International Conference on Non-Conventional Energy: Nanotechnology & Nanomaterials for Energy & Environment (ICNNEE) 2019, Available at SSRN: https://ssrn.com/abstract=3503284 or http://dx.doi.org/10.2139/ssrn.3503284

Swati Sikdar (Contact Author)

JIS College of Engineering ( email )

Kalyani
WEST BENGAL
KALYANI, 741235
India
7278864822 (Phone)
741235 (Fax)

Sayanti Guha

JIS College of Engineering ( email )

Block-A, Phase-III
WEST BENGAL
Kalyani, Nadia 741235
India

Karabi Ganguly

JIS College of Engineering ( email )

Block-A, Phase-III
WEST BENGAL
Kalyani, Nadia 741235
India

Sandip Bag

JIS College of Engineering ( email )

Block-A, Phase-III
WEST BENGAL
Kalyani, Nadia 741235
India

Sriya Sona Lenka

JIS College of Engineering ( email )

Block-A, Phase-III
WEST BENGAL
Kalyani, Nadia 741235
India

Himali Barman

JIS College of Engineering ( email )

Block-A, Phase-III
WEST BENGAL
Kalyani, Nadia 741235
India

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