Can structured EHR data support clinical coding? A data mining approach

Ferrão, José; Oliveira, Mónica Duarte; Janela, Filipe; Martins, Henrique; Gärtner, Daniel

doi:10.1080/20476965.2020.1729666

Cited by 8 publications

(6 citation statements)

References 77 publications

(108 reference statements)

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“…Electronically stored data is valuable and more flexible for analysis of a specific disease (Ferrão et al, 2021). Patient data inputted into EHR is analyzed, revealing patterns of pressure ulcer incidents in adult in-patients who undergo a minimum of 3 days of treatment.…”

Section: Artificial Intelligencementioning

confidence: 99%

Adoption of Information and Technology Communication in Ulcer Pressure Prevention: A Narrative Review

Ahmalia,

Abdulwahid Aljaberi,

Mohamed Said

2024

IJALSR

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Patients who have immobilization and bedrest prone to have poor blood circulation to the area that contact the bed. This condition is triggering pressure ulcer that may impact on patients’ recovery process, burden, and conformity. In 4.0 industry, information, and communication technology (ICT) has implemented in many healthcare activities, including in the prevention of pressure ulcer. ICT provides a solution to prevent this unwanted condition in bedrest patients through many forms, but has not been mapped yet, especially for nursing. The purpose of this study is mainly to synthesize previous findings related to the adoption of ICT in pressure ulcer preventions. This study is a literature review which using several databases, namely Pubmed, Google Scholar, JMIR, IEEE, and Sage Journals. We used the PRISMA framework as a guideline to select the eligible articles that must be included to our study. We implemented Mixed Method Appraisal Tool to ensure the quality of articles in this review. Then, the data is synthesized and visualized in tabular. We gathered 2,081 articles from literature searching and obtained 12 eligible articles to be synthesized. Our Findings revealed that ICT adoption in ulcer pressure prevention was further than expected which the implementation of artificial intelligence (AI) was dominated in our findings. We also found that several technologies, such internet of things (IoT), were also implemented to send the patient’s data related to pressure ulcer periodically and provided the information for healthcare provider to formulate preventive interventions. Detection of pressure ulcer among patients may be done precisely by tomography technique in one study. Various ICT implementations in pressure ulcer prevention were promising to be adopted by healthcare providers, including nurses.

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Section: Artificial Intelligencementioning

confidence: 99%

Adoption of Information and Technology Communication in Ulcer Pressure Prevention: A Narrative Review

Ahmalia,

Abdulwahid Aljaberi,

Mohamed Said

2024

IJALSR

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“…Aside from large scale, even multi-national efforts-such as the ones in the consortia just discussed-, another area of intensive interest regarding data-mining in medicine has been the development of analytical strategies to effectively mine the ever growing body of Electronic Health Records (EHR), that has been perceived as a largely forgone and under-utilized data source (6,(36)(37)(38)(39).…”

Section: Introductionmentioning

confidence: 99%

Data Integration Challenges for Machine Learning in Precision Medicine

Martínez-García

Hernández‐Lemus

2022

Front. Med.

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A main goal of Precision Medicine is that of incorporating and integrating the vast corpora on different databases about the molecular and environmental origins of disease, into analytic frameworks, allowing the development of individualized, context-dependent diagnostics, and therapeutic approaches. In this regard, artificial intelligence and machine learning approaches can be used to build analytical models of complex disease aimed at prediction of personalized health conditions and outcomes. Such models must handle the wide heterogeneity of individuals in both their genetic predisposition and their social and environmental determinants. Computational approaches to medicine need to be able to efficiently manage, visualize and integrate, large datasets combining structure, and unstructured formats. This needs to be done while constrained by different levels of confidentiality, ideally doing so within a unified analytical architecture. Efficient data integration and management is key to the successful application of computational intelligence approaches to medicine. A number of challenges arise in the design of successful designs to medical data analytics under currently demanding conditions of performance in personalized medicine, while also subject to time, computational power, and bioethical constraints. Here, we will review some of these constraints and discuss possible avenues to overcome current challenges.

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“…The quality of health care records indirectly contributes to patient safety because inaccurate patient data can lead to improper diagnosis and consequently wrong treatment of patients [ 18 , 26 ]. The quality and accuracy of data stored in the EHR system make it easier for decision-making among health professionals in different departments [ 10 ]. For these reasons, most hospitals in Ghana, have recently transitioned into the EHR system, although not completely, certain categories of health facilities have adopted the system.…”

Section: Introductionmentioning

confidence: 99%

Satisfied or not satisfied? Electronic health records system implementation in Ghana: Health leaders’ perspective

Attafuah

Abor

Abuosi

et al. 2022

BMC Med Inform Decis Mak

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Background Electronic Health Records (EHR) has been espoused to be an innovation from the paper-based system, with benefits such as fast access to patient information thereby facilitating healthcare provider communication, healthcare continuity and improved quality of care. However, it is the extent of the quality of the electronic health records that determines the access to these stated benefits. The quality of health care records indirectly contributes to patient safety because inaccurate patient data can lead to improper diagnosis and consequently wrong treatment of patients. Most hospitals in Ghana, have recently transitioned into the EHR system, hence, there is a need to assess its accuracy, impact on workflow, staff training on usage, support from the EHR team, and the overall satisfaction of the EHR system. As health leaders are at the frontline of its implementation, their views on the challenges and successes of the EHR system are imperative. Method This qualitative study sought to explore the views of the health leaders on the implemented electronic health records system in nine (9) hospitals within three (3) regions in Ghana. Following ethical approval, GHS-ERC:007/04/21, focus group discussions were conducted with a minimum of 10 hospital leaders in each facility. These included quasi, government and private hospitals. Data was collected between September and November 2021. Results The study found poor quality of records, lack of involvement of frontline clinicians in the development of the EHR system, inadequate training of staff and limited workstations as some of the challenges associated with the use of EHR in hospitals. Health leaders were generally not satisfied with the EHR system. Conclusion It is recommended that addressing inputs from end-users as well as circulating more computers will motivate EHR usage and acceptance. Provision of additional workstations for the various units and involvement of staff in the system development would be most prudent to enable health workers to accept the EHR system in improving the quality of care.

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Can structured EHR data support clinical coding? A data mining approach

Cited by 8 publications

References 77 publications

Adoption of Information and Technology Communication in Ulcer Pressure Prevention: A Narrative Review

Adoption of Information and Technology Communication in Ulcer Pressure Prevention: A Narrative Review

Data Integration Challenges for Machine Learning in Precision Medicine

Satisfied or not satisfied? Electronic health records system implementation in Ghana: Health leaders’ perspective

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