Letter to Editor (Response from author): Toward a universal electronic health record system

Gamal, Aya; Barakat, Sherif; Rezk, Amira

doi:10.1016/j.jbi.2021.103770

Cited by 3 publications

(3 citation statements)

References 1 publication

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“…In the digital big data era, the integrated use of EHRs and administrative claims data sources may represent a promising cost-effective approach for comprehensive assessments of primary care quality. Migration to integrated universal health information infrastructure [ 83 ] and sharing and linkage of health data may support more systematic evaluation of primary care. However, significant efforts are needed to facilitate data integration in many countries.…”

Section: Discussionmentioning

confidence: 99%

What quantifies good primary care in the United States? A review of algorithms and metrics using real-world data

et al. 2023

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Primary care physicians (PCPs) play an indispensable role in providing comprehensive care and referring patients for specialty care and other medical services. As the COVID-19 outbreak disrupts patient access to care, understanding the quality of primary care is critical at this unprecedented moment to support patients with complex medical needs in the primary care setting and inform policymakers to redesign our primary care system. The traditional way of collecting information from patient surveys is time-consuming and costly, and novel data collection and analysis methods are needed. In this review paper, we describe the existing algorithms and metrics that use the real-world data to qualify and quantify primary care, including the identification of an individual’s likely PCP (identification of plurality provider and major provider), assessment of process quality (for example, appropriate-care-model composite measures), and continuity and regularity of care index (including the interval index, variance index and relative variance index), and highlight the strength and limitation of real world data from electronic health records (EHRs) and claims data in determining the quality of PCP care. The EHR audits facilitate assessing the quality of the workflow process and clinical appropriateness of primary care practices. With extensive and diverse records, administrative claims data can provide reliable information as it assesses primary care quality through coded information from different providers or networks. The use of EHRs and administrative claims data may be a cost-effective analytic strategy for evaluating the quality of primary care.

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Section: Discussionmentioning

confidence: 99%

What quantifies good primary care in the United States? A review of algorithms and metrics using real-world data

et al. 2023

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“…There are a number of potential reasons for this: the computational expertise and software development ability to implement, maintain, and improve a theoretical universal EHR is extensive [37,38,41,42], the potential for large-scale security breaches [42,43], and the upfront and maintenance costs of such an integrated system [37,38,44], among others. Even with advancements in technology and software development, it seems that a universal interoperability hub for all clinical applications is unattainable in the modern climate [45].…”

Section: Review Current Electronic Health Record Challengesmentioning

confidence: 99%

Charting Tomorrow’s Healthcare: A Traditional Literature Review for an Artificial Intelligence-Driven Future

Fogleman,

Goldman,

Holland

et al. 2024

Cureus

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Electronic health record (EHR) systems have developed over time in parallel with general advancements in mainstream technology. As artificially intelligent (AI) systems rapidly impact multiple societal sectors, it has become apparent that medicine is not immune from the influences of this powerful technology. Particularly appealing is how AI may aid in improving healthcare efficiency with note-writing automation. This literature review explores the current state of EHR technologies in healthcare, specifically focusing on possibilities for addressing EHR challenges through the automation of dictation and note-writing processes with AI integration. This review offers a broad understanding of existing capabilities and potential advancements, emphasizing innovations such as voice-to-text dictation, wearable devices, and AI-assisted procedure note dictation. The primary objective is to provide researchers with valuable insights, enabling them to generate new technologies and advancements within the healthcare landscape. By exploring the benefits, challenges, and future of AI integration, this review encourages the development of innovative solutions, with the goal of enhancing patient care and healthcare delivery efficiency.

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“…Data generated from health care applications within the healthcare arena are required to be timely, credible, reliable and actionable to enable decisions that are data-driven as well as to enable considerate monitoring and forecasting within the healthcare setting. 50,[59][60][61][62] Decision-making occurs in different sectors within the healthcare space. For these decisions to be made, data from different modules were targeted in the HIS environment.…”

Section: Data Action and Decisionsmentioning

confidence: 99%

A Data-Driven Paradigm for a Resilient and Sustainable Integrated Health Information Systems for Health Care Applications

Epizitone,

Moyane,

Agbehadji

2023

JMDH

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Many transformations and uncertainties, such as the fourth industrial revolution and pandemics, have propelled healthcare acceptance and deployment of health information systems (HIS). External and internal determinants aligning with the global course influence their deployments. At the epic is digitalization, which generates endless data that has permeated healthcare. The continuous proliferation of complex and dynamic healthcare data is the digitalization frontier in healthcare that necessitates attention.Objective: This study explores the existing body of information on HIS for healthcare through the data lens to present a data-driven paradigm for healthcare augmentation paramount to attaining a sustainable and resilient HIS. Method: Preferred Reporting Items for Systematic Reviews and Meta-Analyses: PRISMA-compliant in-depth literature review was conducted systematically to synthesize and analyze the literature content to ascertain the value disposition of HIS data in healthcare delivery.Results: This study details the aspects of a data-driven paradigm for robust and sustainable HIS for health care applications. Data source, data action and decisions, data sciences techniques, serialization of data sciences techniques in the HIS, and data insight implementation and application are data-driven features expounded. These are essential data-driven paradigm building blocks that need iteration to succeed. Discussions: Existing literature considers insurgent data in healthcare challenging, disruptive, and potentially revolutionary. This view echoes the current healthcare quandary of good and bad data availability. Thus, data-driven insights are essential for building a resilient and sustainable HIS. People, technology, and tasks dominated prior HIS frameworks, with few data-centric facets. Improving healthcare and the HIS requires identifying and integrating crucial data elements. Conclusion:The paper presented a data-driven paradigm for a resilient and sustainable HIS. The findings show that data-driven track and components are essential to improve healthcare using data analytics insights. It provides an integrated footing for data analytics to support and effectively assist health care delivery.

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Letter to Editor (Response from author): Toward a universal electronic health record system

Cited by 3 publications

References 1 publication

What quantifies good primary care in the United States? A review of algorithms and metrics using real-world data

What quantifies good primary care in the United States? A review of algorithms and metrics using real-world data

Charting Tomorrow’s Healthcare: A Traditional Literature Review for an Artificial Intelligence-Driven Future

A Data-Driven Paradigm for a Resilient and Sustainable Integrated Health Information Systems for Health Care Applications

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