An RCT Simulation Study on Performance and Accuracy of Inexact Matching Algorithms for Patient Identity in Ambulatory Care Settings

Mason-Blakley, Fieran; Weber, Jens H.; Lü, Linghong; Price, Morgan; Roudsari, Abdul V.

doi:10.1109/ichi.2015.7

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…Fellegi et al in 1969 were one of the earlier pioneers, and they proposed record linkage to identify duplicates ( 21 ). Patient misidentification is a primary cause of Patient harm in an EMR ( 22 ). To our knowledge, no linked health records currently contribute to the NHMIS repository in Nigeria.…”

Section: Introductionmentioning

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: Introductionmentioning

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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An Overview of Phonetic Encoding Algorithms

Vykhovanets

Sakulin

2020

Autom Remote Control

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A decentralized Offline Patient ID Generation and Matching Algorithm: Nigeria phone number-based proposal (Preprint)

Chukwu¹,

Garg²,

Ekong³

2021

Preprint

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UNSTRUCTURED Quality of health service delivery data remains sub-optimal in many developing countries despite over a decade of progress in digitization and Health Management Information System (HMIS). Uniquely identifying Patients within the care continuum is the only way to guarantee better outcomes hinged on shared health records. Many different strategies exist for uniquely identifying and tracking a patient in a health system, and they also have their trade-offs. Nigeria, a typical low-and-middle-income country is used to demonstrate the survey of how leading candidates for Patient identification fit in the digital Patient ID desirable attributes framework. The network resource constraints inherent in low-and-middle-income countries is illustrated. We show that no current Patient ID strategy simultaneously meets the six attributes of uniqueness, unchanging, uncontroversial, inexpensive, ubiquitous, and uncomplicated. We designed and prototyped decentralized algorithms for universal-offline, unique Patient ID generation with a dual deterministic and probabilistic patient matching model.

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An RCT Simulation Study on Performance and Accuracy of Inexact Matching Algorithms for Patient Identity in Ambulatory Care Settings

Cited by 3 publications

References 24 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 Overview of Phonetic Encoding Algorithms

A decentralized Offline Patient ID Generation and Matching Algorithm: Nigeria phone number-based proposal (Preprint)

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