Feasibility of population health analytics and data visualization for decision support in the infectious diseases domain

Roosan, Don; Fiol, Guilherme Del; Butler, Jorie; Livnat, Yarden; Mayer, Jeanmarie; Samore, Matthew H.; Jones, Makoto; Weir, Charlene R.

doi:10.4338/aci-2015-12-ra-0182

Cited by 26 publications

(9 citation statements)

References 76 publications

(83 reference statements)

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“…By incorporating family medication history along with PGx data, both HCPs and patients will be equipped with more knowledge to determine the most appropriate therapy. More specifically, an advanced CDS system that can leverage the shared family PGx data may have the capability to adequately support providers and patients in shared decision-making [ 30 , 41 ]. As discussed above, patients indicate that they are not only willing to share results with providers but with family members as well.…”

Section: Discussionmentioning

confidence: 99%

“…As PGx becomes more widely accessible, it is important that patients share results with family members in order to effectively identify individuals that are at risk for adverse drug events or medication failures. Also, with the increasing complexity of patients’ data from discrete sources, it is imperative to integrate family PGx data to optimize therapy outcomes for family members [ 30 – 33 ].…”

Section: Introductionmentioning

confidence: 99%

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Pharmacogenomics cascade testing (PhaCT): a novel approach for preemptive pharmacogenomics testing to optimize medication therapy

2020

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The implementation of pharmacogenomics (PGx) has come a long way since the dawn of utilizing pharmacogenomic data in clinical patient care. However, the potential benefits of sharing PGx results have yet to be explored. In this paper, we explore the willingness of patients to share PGx results, as well as the inclusion of family medication history in identifying potential family members for pharmacogenomics cascade testing (PhaCT). The genetic similarities in families allow for identifying potential gene variants prior to official preemptive testing. Once a candidate patient is determined, PhaCT can be initiated. PhaCT recognizes that further cascade testing throughout a family can serve to improve precision medicine. In order to make PhaCT feasible, we propose a novel shareable HIPAA-compliant informatics platform that will enable patients to manage not only their own test results and medications but also those of their family members. The informatics platform will be an external genomics system with capabilities to integrate with patients' electronic health records. Patients will be given the tools to provide information to and work with clinicians in identifying family members for PhaCT through this platform. Offering patients the tools to share PGx results with their family members for preemptive testing could be the key to empowering patients. Clinicians can utilize PhaCT to potentially improve medication adherence, which may consequently help to distribute the burden of health management between patients, family members, providers, and payers.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pharmacogenomics cascade testing (PhaCT): a novel approach for preemptive pharmacogenomics testing to optimize medication therapy

2020

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“…HTA is used to understand cognitive task complexity when patients interact with the PPI information and how they would manage these tasks [11,26,27]. To carry out a task to find information, the operator has to go through a logical information scent [28].…”

Section: Methodsmentioning

confidence: 99%

“…Innovative interactive visualizations, such as infographics, have been frequently used to deliver health information due to their ability to present complex data in a simple and clear manner [9,10]. Presenting PPI information using interactive visualization can actively engage patients to reduce information avoidance due to a sense of perceived familiarity and empower patients to retain more information [11].…”

Section: Introductionmentioning

confidence: 99%

Improving Medication Information Presentation Through Interactive Visualization in Mobile Apps: Human Factors Design

Roosan¹,

Yan²,

Law³

et al. 2019

JMIR Mhealth Uhealth

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BackgroundDespite the detailed patient package inserts (PPIs) with prescription drugs that communicate crucial information about safety, there is a critical gap between patient understanding and the knowledge presented. As a result, patients may suffer from adverse events. We propose using human factors design methodologies such as hierarchical task analysis (HTA) and interactive visualization to bridge this gap. We hypothesize that an innovative mobile app employing human factors design with an interactive visualization can deliver PPI information aligned with patients’ information processing heuristics. Such an app may help patients gain an improved overall knowledge of medications.ObjectiveThe objective of this study was to explore the feasibility of designing an interactive visualization-based mobile app using an HTA approach through a mobile prototype.MethodsTwo pharmacists constructed the HTA for the drug risperidone. Later, the specific requirements of the design were translated using infographics. We transferred the wireframes of the prototype into an interactive user interface. Finally, a usability evaluation of the mobile health app was conducted.ResultsA mobile app prototype using HTA and infographics was successfully created. We reiterated the design based on the specific recommendations from the usability evaluations.ConclusionsUsing HTA methodology, we successfully created a mobile prototype for delivering PPI on the drug risperidone to patients. The hierarchical goals and subgoals were translated into a mobile prototype.

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“…24–27 The construction, validation, and evaluation of the prediction models embedded in population decision support is needed as such tools have the potential to assist clinicians by providing them a high-level view of possible scenarios and probabilities associated with a case, thereby reducing anchoring bias. 28 Future research on creating a better predictive model using population data may improve the overall sensitivity and specificity of the model for clinical use.…”

Section: Disucssionmentioning

confidence: 99%

Big-Data Based Decision-Support Systems to Improve Clinicians' Cognition

Roosan

Samore

Jones

et al. 2016

2016 IEEE International Conference on Healthcare Informatics (ICHI)

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Complex clinical decision-making could be facilitated by using population health data to inform clinicians. In two previous studies, we interviewed 16 infectious disease experts to understand complex clinical reasoning. For this study, we focused on answers from the experts on how clinical reasoning can be supported by population-based Big-Data. We found cognitive strategies such as trajectory tracking, perspective taking, and metacognition has the potential to improve clinicians’ cognition to deal with complex problems. These cognitive strategies could be supported by population health data, and all have important implications for the design of Big-Data based decision-support tools that could be embedded in electronic health records. Our findings provide directions for task allocation and design of decision-support applications for health care industry development of Big data based decision-support systems.

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Feasibility of population health analytics and data visualization for decision support in the infectious diseases domain

Abstract: A population database has great potential for reducing complexity and uncertainty in medicine to improve clinical care. The preferences identified for the population information display will guide future health information technology system designers for better and more intuitive display.

Cited by 26 publications

References 76 publications

Pharmacogenomics cascade testing (PhaCT): a novel approach for preemptive pharmacogenomics testing to optimize medication therapy

Pharmacogenomics cascade testing (PhaCT): a novel approach for preemptive pharmacogenomics testing to optimize medication therapy

Improving Medication Information Presentation Through Interactive Visualization in Mobile Apps: Human Factors Design

Big-Data Based Decision-Support Systems to Improve Clinicians' Cognition

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