Dataset Information

Health timeline: an insight-based study of a timeline visualization of clinical data.

ABSTRACT:

Background

The increasing complexity and volume of clinical data poses a challenge in the decision-making process. Data visualizations can assist in this process by speeding up the time required to analyze and understand clinical data. Even though empirical experiments show that visualizations facilitate clinical data understanding, a consistent method to assess their effectiveness is still missing.

Methods

The insight-based methodology determines the quality of insights a user acquires from the visualization. Insights receive a value from one to five points based on a domain-specific criteria. Five professional psychiatrists took part in the study using real de-identified clinical data spanning 4 years of medical history.

Results

A total of 50 assessments were transcribed and analyzed. Comparing a total of 558 insights using Health Timeline and 576 without, the mean value using the Timeline (1.7) was higher than without (1.26; p<0.01), similarly the cumulative value with the Timeline (11.87) was higher than without (10.96: p<0.01). The average time required to formulate the first insight with the Timeline was higher (13.16 s) than without (7 s; p<0.01). Seven insights achieved the highest possible value using Health Timeline while none were obtained without it.

Conclusions

The Health Timeline effectively improved understanding of clinical data and helped participants recognize complex patterns from the data. By applying the insight-based methodology, the effectiveness of the Health Timeline was quantified, documented and demonstrated. As an outcome of this exercise, we propose the use of such methodologies to measure the effectiveness of visualizations that assist the clinical decision-making process.

SUBMITTER: Ledesma A

PROVIDER: S-EPMC6704521 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Publications

Health timeline: an insight-based study of a timeline visualization of clinical data.

Ledesma Andres A Bidargaddi Niranjan N Strobel Jörg J Schrader Geoffrey G Nieminen Hannu H Korhonen Ilkka I Ermes Miikka M

BMC medical informatics and decision making 20190822 1

<h4>Background</h4>The increasing complexity and volume of clinical data poses a challenge in the decision-making process. Data visualizations can assist in this process by speeding up the time required to analyze and understand clinical data. Even though empirical experiments show that visualizations facilitate clinical data understanding, a consistent method to assess their effectiveness is still missing.<h4>Methods</h4>The insight-based methodology determines the quality of insights a user ac ...[more]

PMID: 31438942

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Project description:BackgroundPharmacovigilance consists in monitoring and preventing the occurrence of adverse drug reactions (ADR). This activity requires the collection and analysis of data from the patient record or any other sources to find clues of a causality link between the drug and the ADR. This can be time-consuming because often patient data are heterogeneous and scattered in several files. To facilitate this task, we developed a timeline prototype to gather and classify patient data according to their chronology. Here, we evaluated its usability and quantified its contribution to routine pharmacovigilance using real ADR cases.MethodsThe timeline prototype was assessed using the biomedical data warehouse eHOP (from entrepôt de données biomédicales de l'HOPital) of the Rennes University Hospital Centre. First, the prototype usability was tested by six experts of the Regional Pharmacovigilance Centre of Rennes. Their experience was assessed with the MORAE software and a System and Usability Scale (SUS) questionnaire. Then, to quantify the timeline contribution to pharmacovigilance routine practice, three of them were asked to investigate possible ADR cases with the "Usual method" (analysis of electronic health record data with the DxCare software) or the "Timeline method". The time to complete the task and the data quality in their reports (using the vigiGrade Completeness score) were recorded and compared between methods.ResultsAll participants completed their tasks. The usability could be considered almost excellent with an average SUS score of 82.5/100. The time to complete the assessment was comparable between methods (P = 0.38) as well as the average vigiGrade Completeness of the data collected with the two methods (P = 0.49).ConclusionsThe results showed a good general level of usability for the timeline prototype. Conversely, no difference in terms of the time spent on each ADR case and data quality was found compared with the usual method. However, this absence of difference between the timeline and the usual tools that have been in use for several years suggests a potential use in pharmacovigilance especially because the testers asked to continue using the timeline after the evaluation.

Project description:BackgroundInfantile gangliosidoses include GM1 gangliosidosis and GM2 gangliosidosis (Tay-Sachs disease, Sandhoff disease). To date, natural history studies in infantile GM2 (iGM2) have been retrospective and conducted through surveys. Compared to iGM2, there is even less natural history information available on infantile GM1 disease (iGM1). There are no approved treatments for infantile gangliosidoses. Substrate reduction therapy using miglustat has been tried, but is limited by gastrointestinal side effects. Development of effective treatments will require identification of meaningful outcomes in the setting of rapidly progressive and fatal diseases.ObjectivesThis study aimed to establish a timeline of clinical changes occurring in infantile gangliosidoses, prospectively, to: 1) characterize the natural history of these diseases; 2) improve planning of clinical care; and 3) identify meaningful future treatment outcome measures.MethodsPatients were evaluated prospectively through ongoing clinical care.ResultsTwenty-three patients were evaluated: 8 infantile GM1, 9 infantile Tay-Sachs disease, 6 infantile Sandhoff disease. Common patterns of clinical change included: hypotonia before 6months of age; severe motor skill impairment within first year of life; seizures; dysphagia and feeding-tube placement before 18months of age. Neurodevelopmental testing scores reached the floor of the testing scale by 20 to 28months of age. Vertebral beaking, kyphosis, and scoliosis were unique to patients with infantile GM1. Chest physiotherapy was associated with increased survival in iGM1 (p=0.0056). Miglustat combined with a low-carbohydrate ketogenic diet (the Syner-G regimen) in patients who received a feeding-tube was associated with increased survival in infantile GM1 (p=0.025).ConclusionsThis is the first prospective study of the natural history of infantile gangliosidoses and the very first natural history of infantile GM1. The homogeneity of the infantile gangliosidoses phenotype as demonstrated by the clinical events timeline in this study provides promising secondary outcome measure candidates. This study indicates that overall survival is a meaningful primary outcome measure for future clinical trials due to reliable timing and early occurrence of this event. Combination therapy approaches, instead of monotherapy approaches, will likely be the best way to optimize clinical outcomes. Combination therapy approaches include palliative therapies (e.g., chest physiotherapy) along with treatments that address the underlying disease pathology (e.g. miglustat or future gene therapies).

Dataset Information

Health timeline: an insight-based study of a timeline visualization of clinical data.

Background

Methods

Results

Conclusions

Publications

Health timeline: an insight-based study of a timeline visualization of clinical data.

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