Unique Health Identifier for India: An algorithm and feasibility analysis on patient data

Soman, Sumit; Srivastava, P. K.; Murthy, B. K.

doi:10.1109/healthcom.2015.7454507

Cited by 15 publications

(2 citation statements)

References 7 publications

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“…Other biometrics like finger print in Nigeria ( 35 ) and Iris biometric identification in Kenya ( 36 ), Biometric patient identification and management ( 37 ). System generated Patient ID in is used in India ( 38 ). Systems for multiple patient identifiers have also been used ( 39 ).…”

Section: Resultsmentioning

confidence: 99%

Scaling up a decentralized offline patient ID generation and matching algorithm to accelerate universal health coverage: Insights from a literature review and health facility survey in Nigeria

Chukwu

Ekong

Garg

2022

Front. Digit. Health

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BackgroundQuality of health service delivery data remains sub-optimal in many Low and middle-income countries (LMICs) despite over a decade of progress in digitization and Health Management Information Systems (HMIS) improvements. Identifying everyone residing in a country utilizing universal civil registration and/or national unique identification number systems especially for vulnerable patients seeking care within the care continuum is an essential part of pursuing universal health coverage (UHC). Many different strategies or candidate digital technologies exist for uniquely identifying and tracking patients within a health system, and the different strategies also have their advantages and trade-offs. The recent approval of Decentralized identifier (DID) core specification by World Wide Web Consortium (W3C) heralds the search for consensus on standard interoperable DID methods.ObjectiveThis paper aims to: (1) assess how candidate Patient Identification Systems fit the digital Patient ID desirable attributes framework in literature; and (2) use insights from Nigeria to propose the scale-up of an offline, interoperable decentralized Patient ID generation and a matching model for addressing network reliability challenges of centralized electronic registries in LMICs.MethodsWe combined: (i) systematic review of the literature to identify the characteristics of leading candidates for Patient ID systems, with (ii) review of policies and (iii) quantitative survey of 14 general hospitals in Nigeria's Federal Capital Territory to understand the model(s) of patient ID strategies currently implemented by public hospitals.ResultsEvidence from the literature review and quantitative survey showed that no current Patient ID strategy in Nigeria simultaneously meets the six attributes of uniqueness, unchanging, uncontroversial, inexpensive, ubiquitous, and uncomplicated required for ensuring the reliability of unique patient identification systems and of the HMIS more generally.ConclusionsThe findings are used to propose a model of algorithms for universal-offline Patient ID generation and matching models that is cost effective and can be easily scaled-up throughout Nigeria. The prototype has promise for generating and validating a universally unique Patient ID given a set of patient characteristics without a central rigid authority. The model can also help to fast-track the implementation of a Master Patient Index (MPI) and interoperability of existing digital health platforms in LMICs.

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Section: Resultsmentioning

confidence: 99%

Scaling up a decentralized offline patient ID generation and matching algorithm to accelerate universal health coverage: Insights from a literature review and health facility survey in Nigeria

Chukwu

Ekong

Garg

2022

Front. Digit. Health

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“…1, that can be integrated into a healthcare information system for online predictions on streaming data samples. The pre-requisite for using such a model is that the system should record clinical data, including symptoms and results of laboratory investigations, for patients along with a suitable mechanism for recording diagnoses for a patient, which is mapped to patients via suitable identifiers [23,24]. Once such a system is in place, a dataset generation and model training component can be incorporated into the healthcare information system.…”

Section: Methodology and System Designmentioning

confidence: 99%

An Online Learning Approach for Dengue Fever Classification

Srivastava¹,

Soman²,

Rai³

2019

Preprint

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This paper introduces a novel approach for dengue fever classification based on online learning paradigms. The proposed approach is suitable for practical implementation as it enables learning using only a few training samples. With time, the proposed approach is capable of learning incrementally from the data collected without need for retraining the model or redeployment of the prediction engine. Additionally, we also provide a comprehensive evaluation of machine learning methods for prediction of dengue fever. The input to the proposed pipeline comprises of recorded patient symptoms and diagnostic investigations. Offline classifier models have been employed to obtain baseline scores to establish that the feature set is optimal for classification of dengue. The primary benefit of the online detection model presented in the paper is that it has been established to effectively identify patients with high likelihood of dengue disease, and experiments on scalability in terms of number of training and test samples validate the use of the proposed model.

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Implementing Delta Checks for Laboratory Investigations Module of Hospital Management Systems

Kumar

Soman

Ranjan

2020

Lecture Notes in Electrical Engineering

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Unique Health Identifier for India: An algorithm and feasibility analysis on patient data

Cited by 15 publications

References 7 publications

Scaling up a decentralized offline patient ID generation and matching algorithm to accelerate universal health coverage: Insights from a literature review and health facility survey in Nigeria

Scaling up a decentralized offline patient ID generation and matching algorithm to accelerate universal health coverage: Insights from a literature review and health facility survey in Nigeria

An Online Learning Approach for Dengue Fever Classification

Implementing Delta Checks for Laboratory Investigations Module of Hospital Management Systems

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