Coding Schemes for DNA Patient Record Processing to Electronic Health Records Systems

Izabela MİTRESKA; Ninoslav MARİNA; Natasa DİMOSKA

Article Details

Coding Schemes for DNA Patient Record Processing to Electronic Health Records Systems

Authors:

Izabela MİTRESKA | Ninoslav MARİNA | Natasa DİMOSKA

Publisher:

İzmir Academy Association

Main Topics:

Data processing and computer science

Journal:

Journal of Emerging Computer Technologies 2021 Vol.1 Issue 2, pp.49-54

Document Type:

Article

Publication Date:

12/2021

Document Language:

English

Document ID (Org No.):

2000794128

Frequency:

Bi-Annual

eISSN:

2757-8267

Keywords:

Abstract:

 

Lately, electronic health record (EHR) systems became very popular in medical technology. The main aim of such systems is to perform a digital version of a patient’s paper chart. EHRs are real-time, patient-centered records that make information available instantly to authorized users. One critical patient record is the DNA sequence, which should be processed and stored in the EHR without any modifications. Therefore, in this paper, we focus on how DNA sequence can be reliably processed to EHR systems. By introducing coding technique on top of the information we implemented the wanted security. We consider and analyze two coding schemes, the Hamming code and Reed-Solomon, on the same data sample. The results are summarized and compared by error detection and error correction values. The final outputs show that Reed-Solomon coding scheme outperforms the Hamming code scheme for reliably and securely processing the DNA record to the EHR.

 

Lately, electronic health record (EHR) systems became very popular in medical technology. The main aim of such systems is to perform a digital version of a patient’s paper chart. EHRs are real-time, patient-centered records that make information available instantly to authorized users. One critical patient record is the DNA sequence, which should be processed and stored in the EHR without any modifications. Therefore, in this paper, we focus on how DNA sequence can be reliably processed to EHR systems. By introducing coding technique on top of the information we implemented the wanted security. We consider and analyze two coding schemes, the Hamming code and Reed-Solomon, on the same data sample. The results are summarized and compared by error detection and error correction values. The final outputs show that Reed-Solomon coding scheme outperforms the Hamming code scheme for reliably and securely processing the DNA record to the EHR.

Article Details

Coding Schemes for DNA Patient Record Processing to Electronic Health Records Systems

Authors:

Izabela MİTRESKA | Ninoslav MARİNA | Natasa DİMOSKA

Publisher:

İzmir Academy Association

Main Topics:

Data processing and computer science

Journal:

Journal of Emerging Computer Technologies 2021 Vol.1 Issue 2, pp.49-54

Document Type:

Article

Publication Date:

12/2021

Document Language:

English

Document ID (Org No.):

2000794128

Frequency:

Bi-Annual

eISSN:

2757-8267

Electronic Health Records

encoding

decoding

Hamming code

Reed-Solomon code

Issues

Article Details

Coding Schemes for DNA Patient Record Processing to Electronic Health Records Systems

Authors: Izabela MİTRESKA | Ninoslav MARİNA | Natasa DİMOSKA

Publisher: İzmir Academy Association

Main Topics: Data processing and computer science

Journal: Journal of Emerging Computer Technologies 2021 Vol.1 Issue 2, pp.49-54

Document Type: Article

Publication Date: 12/2021

Document Language: English

Document ID (Org No.): 2000794128

Frequency: Bi-Annual

eISSN: 2757-8267

Electronic Health Records

encoding

decoding

Hamming code

Reed-Solomon code

Issues

Authors:

Izabela MİTRESKA | Ninoslav MARİNA | Natasa DİMOSKA

Publisher:

İzmir Academy Association

Main Topics:

Data processing and computer science

Journal:

Journal of Emerging Computer Technologies 2021 Vol.1 Issue 2, pp.49-54

Document Type:

Article

Publication Date:

12/2021

Document Language:

English

Document ID (Org No.):

2000794128

Frequency:

Bi-Annual

eISSN:

2757-8267