Jaime A. Pavlich-Mariscal

Dr. Jaime A. Pavlich-Mariscal

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Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 October 2010 in Computers & Security
Verified
Journal Article
Closed access
JPJaime A. Pavlich-Mariscal
Jaime A. Pavlich-Mariscal
SDSteven A. Demurjian
Steven A. Demurjian
LMLaurent D. Michel
Laurent D. Michel

1 October 2012
Verified
Conference Paper
Closed access
AAAlberto De la Rosa Algarin
Alberto De la Rosa Algarin
SDSteven A. Demurjian
Steven A. Demurjian
SBSolomon Berhe
Solomon Berhe
JPJaime A. Pavlich-Mariscal
Jaime A. Pavlich-Mariscal
The extensible Markup Language (XML) has wide usage in healthcare to facilitate health information exchange via the Continuity of Care Record (CCR) for storing/managing patient data, diagnoses, medical notes, tests, scans, etc. Health IT products like electronic health record (EHR, e.g., GE Centricity) and personal health record (PHR, e.g., MS Health Vault) use CCR for data representation. To manage patient data in CCR, security as governed by HTPAA must be attained when using XML and its technologies (XACML, XSLT, etc.). Our objective is to have an XML document (CCR instance) appear differently to authorized users at different times based on a user's role, constraints, separation of duty, delegation of authority, etc. In this paper, we propose a security framework that targets XML schémas and documents, in general, and CCR schémas and documents, in particular with control capabilities that achieve customizable access to an XML document's elements by applying secure software engineering methodologies and defining new UML XML-focused diagrams for schémas and permissions. This allows us to generate XACML policies, and enforce security at the runtime level on XML instances to insure that correct and required patient data is securely delivered. In a market of rapidly emerging mobile healthcare applications to allow patients to manage their own data (PHRs) and for self-management of chronic diseases, the need for secure access to information and its authorization and transmission to providers (and EHRs) will be critical.

6 May 2025 in JMIR Human Factors
Verified
Journal Article
Open access
LOLaura Ospina-Pinillos
Laura Ospina-Pinillos
DSDébora L Shambo-Rodríguez
Débora L Shambo-Rodríguez
MSMónica Natalí Sánchez-Nítola
Mónica Natalí Sánchez-Nítola
AMAlexandra Morales
Alexandra Morales
LGLaura C Gallego-Sanchez
Laura C Gallego-Sanchez
JOJo-An Occhipinti
Jo-An Occhipinti
Background: Globally, mental health (MH) problems increasingly affect young people, contributing significantly to disability and disease. In low- and middle-income countries, such as Colombia, barriers to accessing care exacerbate the treatment gap. In addition, the lack of widespread digital interventions further deepens the digital health divide between the Global North and Global South, limiting equitable access to innovative MH solutions. Objective: This study aims to co-design and develop an MH platform using participatory design methodologies and conduct a 15-month naturalistic observational trial to assess its feasibility among Colombian youth. Methods: This study used a mixed methods approach within a structured research and development cycle. To ensure a user-centered design, we began with a series of co-design workshops, where stakeholders collaboratively identified key user needs. Following this, usability testing was conducted in 2 stages, alpha and beta, using the System Usability Scale (SUS) to assess functionality and user experience. To capture real-world interactions, a naturalistic observational trial ran from July 2022 to October 2023, collecting data on user engagement and system performance. This study integrated quantitative and qualitative analyses. Results: A total of 146 individuals participated in the co-design process, with 110 (75.3%) contributing to the development of platform components and 36 (24.7%) participating in usability testing. The co-designed platform integrated several key features, including social media and advertising, an MH screening tool, registration, targeted psychoeducational resources, automated tailored recommendations, and a “track-as-you-go” feature for continuous MH monitoring. Additional elements included user-friendly follow-up graphs, telecounseling integration, customizable well-being nudges, an emergency button, and gamification components to enhance engagement. During usability testing, the beta prototype received a median SUS score of 85.0 (IQR 80-92.5), indicating high usability. In the subsequent observational trial, which ran from July 2022 to October 2023, a total of 435 users interacted with the platform—314 (72.2%) as registered users and 121 (27.8%) anonymously. Emotional distress was prevalent, with 63.7% (200/314) of the registered users and 61.2% (74/121) of the anonymous users reporting distress, as measured by the 6-item Kessler Psychological Distress Scale. Despite 102 users requesting telecounseling, only 26.5% (27/102) completed a session. While usability scores remained high, engagement challenges emerged, with only 18.8% (59/314) of the users continuing platform use beyond the first day. Conclusions: This study explored the development and user experience of a youth MH platform in Colombia, demonstrating that a cocreation approach is both feasible and effective. By actively involving users throughout the design process, the platform achieved high usability and incorporated features that resonated with its target audience. However, sustaining long-term engagement remains a challenge, as does addressing privacy concerns, particularly for younger users. These findings highlight the importance of continuous user-centered refinement to enhance both accessibility and retention in digital MH interventions.

1 January 2005 in Lecture Notes in Computer Science
Verified
Book Chapter
Closed access
PDF file
JPJaime A. Pavlich-Mariscal
Jaime A. Pavlich-Mariscal
LMLaurent Michel
Laurent Michel
SDSteven Demurjian
Steven Demurjian

22 July 2025 in Statistics in Medicine
Verified
Journal Article
Open access
EKEverlyn Kamau
Everlyn Kamau
JCJunjie Chen
Junjie Chen
SBSumali Bajaj
Sumali Bajaj
NTNicolás Torres
Nicolás Torres
RCRichard Creswell
Richard Creswell
BLBen Lambert
Ben Lambert
Serocatalytic models are powerful tools which can be used to infer historical infection patterns from age‐structured serological surveys. These surveys are especially useful when disease surveillance is limited and have an important role to play in providing a ground truth gauge of infection burden. In this tutorial, we consider a wide range of serocatalytic models to generate epidemiological insights. With mathematical analysis, we explore the properties and intuition behind these models and include applications to real data for a range of pathogens and epidemiological scenarios. We also include practical steps and code in R and Stan for interested learners to build experience with this modeling framework. Our work highlights the usefulness of serocatalytic models and shows that accounting for the epidemiological context is crucial when using these models to understand infectious disease epidemiology.