Human-Computer Interaction in Electronic Medical Records: From the Perspectives of Physicians and Data Scientists

Bologva, Ekaterina V.; Prokusheva, Diana I.; Krikunov, Alexey V.; Звартау, Надежда; Kovalchuk, Sergey V.

doi:10.1016/j.procs.2016.09.248

Cited by 16 publications

(15 citation statements)

References 21 publications

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“…The data source was a collection of EHRs of patients where the diseases were classified with ICD-9 codes. The study in [82] investigated the most common challenges of HCI while using EHRs, with particular interest on cardiovascular diseases. Inadequate interaction may dramatically impact the quality of data stored in EHRs.…”

Section: Considerable Effort Has Been Devoted To Effective Techniquesmentioning

confidence: 99%

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Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine

Rundo

Pirrone

Vitabile

et al. 2020

Journal of Biomedical Informatics

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The ever-increasing amount of biomedical data is enabling new large-scale studies, even though ad hoc computational solutions are required. The most recent Machine Learning (ML) and Artificial Intelligence (AI) techniques have been achieving outstanding performance and an important impact in clinical research, aiming at precision medicine as well as improving healthcare workflows. However, the inherent heterogeneity and uncertainty in the healthcare information sources pose new compelling challenges for clinicians in their decision-making tasks. Only the proper combination of AI and human intelligence capabilities, by explicitly taking into account effective and safe interaction paradigms, can permit the delivery of care that outperforms what either can do separately. Therefore, Human-Computer Interaction (HCI) plays a crucial role in the design of software oriented to decision-making in medicine. In this work, we systematically review and discuss several research fields strictly linked to HCI and clinical decision-making, by subdividing the articles into six themes,

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Section: Considerable Effort Has Been Devoted To Effective Techniquesmentioning

confidence: 99%

“…This concept was highlighted in [82], previously described in Section 3, where the authors classified the mistakes due to scarse HCI design. Richardson et al…”

Section: User Acceptance Of Cdsssmentioning

confidence: 99%

Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine

Rundo

Pirrone

Vitabile

et al. 2020

Journal of Biomedical Informatics

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“…Studies have shown that the integration of EHRs with CDSSs provides considerable improvement in patient safety and economies of scale for hospitals in reducing length of stays and health costs. 120 , 121 …”

Section: The Role Of Cigs In Cdss-augmented Delivery Of Carementioning

confidence: 99%

The use of computer-interpretable clinical guidelines to manage care complexities of patients with multimorbid conditions: A review

2018

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Clinical practice guidelines (CPGs) document evidence-based information and recommendations on treatment and management of conditions. CPGs usually focus on management of a single condition; however, in many cases a patient will be at the centre of multiple health conditions (multimorbidity). Multiple CPGs need to be followed in parallel, each managing a separate condition, which often results in instructions that may interact with each other, such as conflicts in medication. Furthermore, the impetus to deliver customised care based on patient-specific information, results in the need to be able to offer guidelines in an integrated manner, identifying and managing their interactions. In recent years, CPGs have been formatted as computer-interpretable guidelines (CIGs). This enables developing CIG-driven clinical decision support systems (CDSSs), which allow the development of IT applications that contribute to the systematic and reliable management of multiple guidelines. This study focuses on understanding the use of CIG-based CDSSs, in order to manage care complexities of patients with multimorbidity. The literature between 2011 and 2017 is reviewed, which covers: (a) the challenges and barriers in the care of multimorbid patients, (b) the role of CIGs in CDSS augmented delivery of care, and (c) the approaches to alleviating care complexities of multimorbid patients. Generating integrated care plans, detecting and resolving adverse interactions between treatments and medications, dealing with temporal constraints in care steps, supporting patient-caregiver shared decision making and maintaining the continuity of care are some of the approaches that are enabled using a CIG-based CDSS.

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“…Ekaterina in [ 7 , 8 ] determines that poor human-computer interaction (HCI) or lack of experience with the system due to not having involved patients and/or specialists in the conception, design, and implementation of the systems could cause various errors. We assume that by improving HCI, we can, on the one hand, reduce the degree of data distortion, and on the other, improve interaction with the system and thus increase the satisfaction of specialists, patients, and other users of the systems.…”

Section: Introductionmentioning

confidence: 99%

Construction of a 3D Model to Computerized Training Centered in Patient: PerMed & HCI Approach

Gutierrez

Suca

Vidal

2021

Advances in Intelligent Systems and Computing

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As a result of the pandemic in less than two months, humanity has managed to understand the importance of using information technologies in different areas and, even more so, the importance of developing software for care, monitoring, and training in the healthcare. Personalized Medicine or Precision Medicine is gaining more and more critical, and its implementation is necessary. Different gaps cannot be covered if the software continues to be developed in isolation without considering the user as the central axis of the conception, design, and implementation of the different solutions. For this reason, in this research work proposes the construction of a 3D model of the bone structure of the pelvis based on X-ray images of a patient and a volumetric template as a model that serves for training and simulation for subsequent use in a surgical. This model based on patient-centered personalized medicine and user-centered software development. As a result, we present the creation of a model that can be adapted to each patient’s reality. Likewise, these results can be used in computerized training systems for future health professionals, either by printing the model in 3D or using the software to perform measurements on each patient.

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Human-Computer Interaction in Electronic Medical Records: From the Perspectives of Physicians and Data Scientists

Cited by 16 publications

References 21 publications

Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine

Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine

The use of computer-interpretable clinical guidelines to manage care complexities of patients with multimorbid conditions: A review

Construction of a 3D Model to Computerized Training Centered in Patient: PerMed & HCI Approach

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