Digital Health Record and Prescription

Authors

  • A.P. Mohod Dept. of CSE, Priyadarshini J.L. College of Engg., (Rashtrasant Tukadoji Maharaj Nagpur University), Nagpur, India
  • A. Abhishek Pankar Dept. of CSE, Priyadarshini J.L. College of Engg., (Rashtrasant Tukadoji Maharaj Nagpur University), Nagpur, India
  • Aditya Mohite Dept. of CSE, Priyadarshini J.L. College of Engg., (Rashtrasant Tukadoji Maharaj Nagpur University), Nagpur, India
  • A. Dondalkar Dept. of CSE, Priyadarshini J.L. College of Engg., (Rashtrasant Tukadoji Maharaj Nagpur University), Nagpur, India
  • A. Kadhe Dept. of CSE, Priyadarshini J.L. College of Engg., (Rashtrasant Tukadoji Maharaj Nagpur University), Nagpur, India
  • Manish Naik Dept. of CSE, Priyadarshini J.L. College of Engg., (Rashtrasant Tukadoji Maharaj Nagpur University), Nagpur, India

Keywords:

Cloud Storage, Patient Health Record, SaaS, Doctors, Patients

Abstract

A majority of patients face problems due to negligence of officials. And to maintain all the records in registers or papers for Person, Doctor or even Government is a very complicated task. The hand written prescriptions can be sometimes difficult for shopkeeper or Chemist to understand and finally results in giving the wrong medicines that causes more harm than help. And so there is need to maintain the health record digitally to reduce the doctor’s task and help the patients to understand their health record. In this project, we are developing a cloud based application which works as SaaS that will store every registered person’s lifetime health record that can be retrievable anytime, anywhere. This application will be used by the doctors, where they will be able to access patient’s medical history by their ID and diagnose the current sickness accordingly. Doctors can read, write and edit Patient’s reports and prescriptions will be automatically generated which will reduce the chances of misunderstanding with the chemists.

 

References

E. Coiera, The Guide to Health Informatics (2nd Edition). Arnold, London, October 2003. [Chapter 10: The electronic medical record, p111-123] [See also: Chapter 9: Information management systems p101-110].

Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, PA 19122, USA.

Sebastien Haneuse, Harvard University, A general framework for selection bias due to missing data in electronic health records-based research

https://www.nap.edu/read/24654/chapter/5#37

Isaac S. Kohane Using electronic health records to drive discovery in disease genomics http://www.nature.com/nrg/journal/v12/n6/full/nrg2999.html?foxtrotcallback=true

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Published

2018-02-28

How to Cite

[1]
A. Mohod, A. Abhishek Pankar, A. Mohite, A. Dondalkar, A. Kadhe, and M. Naik, “Digital Health Record and Prescription”, Int. J. Sci. Res. Comp. Sci. Eng., vol. 6, no. 1, pp. 60–62, Feb. 2018.

Issue

Section

Review Article

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