A minimal e-referral for meaningful share of maternal health information in public health scenarios

Rao, Rohini R.; Makkithaya, Krishnamoorthi; Kamath, Veena G; Cordeiro, R.P²

doi:10.1504/ijeh.2015.075328

Cited by 3 publications

(3 citation statements)

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“…An important technical barrier in blockchain-based health data exchange is the need for entity authentication to be robust, it must be repeated for every entity-to-entity relationship [6]. We consider a typical use case in Indian Public Health scenarios, which is the referral [10]. The patient approaches his/her primary e-health provider who may refer the patient to another healthcare provider.…”

Section: Introductionmentioning

confidence: 99%

DDMIA: Distributed Dynamic Mutual Identity Authentication for Referrals in Blockchain-Based Health Care Networks

Hegde

Rao

2022

IEEE Access

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Patients go to multiple healthcare providers for treatment, and their health data is generally distributed among providers. The distributed health data and the decentralized health care system structure make it ideal for blockchain-based health information systems. The authors consider the referral use case; for instance, a patient goes to his primary health Centre (PHC) for treatment and is referred to a hospital. Authentication is usually done using certificates or key cryptography, which could become cumbersome when multiple parties are involved in a healthcare interaction. The security requirements were defined, and a novel multi-party, mutual patient identity authentication scheme called "Distributed Dynamic Mutual Identity Authentication (DDMIA)" was proposed for the referral use case in a blockchainbased e-health network. The DDMIA enables the PHC to authenticate the patient to the referred hospital. The DDMIA scheme was designed using Elliptic Curve Cryptography. It was proven to be secure by assuming the hardness of the elliptic curve discrete log problem (ECDLP) and Elliptic curve computational Diffie-Hellman problem (ECDH) using CK-Model. The formal security analysis using BAN logic proved that the sessions are secure after authentication. The DDMIA scheme was simulated in the AVISPA tool and proven safe against all active attacks. DDMIA scheme was simulated in the AVISPA tool and proven safe against all active attacks. The scheme allows a patient to be authenticated by multiple parties without registering with all parties. It eliminates the need for multiple registration centers as well as digital certificates. Hence, the DDMIA scheme can be implemented for similar multiparty authentication requirements in blockchain-based networks.

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Section: Introductionmentioning

confidence: 99%

DDMIA: Distributed Dynamic Mutual Identity Authentication for Referrals in Blockchain-Based Health Care Networks

Hegde

Rao

2022

IEEE Access

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“…Healthcare Referral system supports the mobility of patients between varieties of health care providers [1]. It is one of the main health systems that assist in ensuring that consumers receive adequate, low-cost and timely services delivery with the most appropriate provider [2,3].…”

Section: Introductionmentioning

confidence: 99%

“…ER is an electronically transmitted message such as documents that enables the transfer of patients' information from a PCP to a specialty provider or hospital [8,1]. ER is designed to improve communication between PCP and specialists', improve documentation quality and seamless exchange of information, decrease wait times, enhance medical decisions and facilitate urgent cases [9].…”

Section: Introductionmentioning

confidence: 99%

A Patient-based Hospital Referral Decision Support System

Omotosho¹,

Adegbola²,

Adebo³

2016

IJCA

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In this study, an electronic referral system was developed for general practitioners to send referrals electronically to providers. The electronic referral system aims at improving referral decisions by involving patients in the process. A database of hospital services in Lagos metropolis was developed and hospitals distance information were retrieved and computed using Google map. A provider selection model that uses a multi-attribute decision making function was adapted and implemented. The provider selection model selects optimal provider based on patients and providers determinants which contained fourteen criteria for referral decision. In the system's output, hospitals were ranked by computing the average between provider and patient feedback factors, this differs from existing systems as the implemented system shows how introduction of patient participation can affect recommended hospitals. In conclusion, the result of this work is expected to improve referral decision support and patient participation.

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Electronic Health Referral (EHR) System: A Systematic Review

O.,

2023

2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)

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A minimal e-referral for meaningful share of maternal health information in public health scenarios

Cited by 3 publications

References 0 publications

DDMIA: Distributed Dynamic Mutual Identity Authentication for Referrals in Blockchain-Based Health Care Networks

DDMIA: Distributed Dynamic Mutual Identity Authentication for Referrals in Blockchain-Based Health Care Networks

A Patient-based Hospital Referral Decision Support System

Electronic Health Referral (EHR) System: A Systematic Review

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