Josette Jones

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https://hdl.handle.net/1805/25234

Developing Solution-Focused Partnerships with Industry Using Data Analytics-Patient Centered Informatics (PCI): Connecting Consumers and Providers

Dr. Josette Jones is the program director of the Department of BioHealth Informatics at the Indiana University School of Informatics and Computing (SoIC) in Indianapolis (IUPUI), where she prepares students with skills they will need as health informatics professionals. These competencies include patient-centered care, interdisciplinary teamwork, evidence-based practice, and the ability to use informatics to improve and expand the delivery and quality of care. Additionally, at IUPUI, she has been instrumental in developing the graduate curricula in nursing and health informatics and health information technology.

Her current research program focuses on analyzing, formalizing and representing (ontology) how health care providers, including nurses, and health care consumers collect and manage data, process data into information and knowledge, and make knowledge-based decisions and inferences for health care. This empirical and experential knowledge is used in order to broaden the scope and enhance the quality of professional practice as well as interactive patient self-management support. Her research also capitalizes on Internet technology and its widespread acceptance as an information resource for providers and consumers alike.

Dr. Jones' use of data to improve consumer and provider experiences is another example of how IUPUI faculty are TRANSLATING RESEARCH INTO PRACTICE.

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Now showing 1 - 10 of 52

Privacy and Security Risks and Requirements with Healthcare IT: Hitting a Home Run Instead of a Foul Ball
(2012-11-13) Hook, Sara Anne; Jones, Josette
Using baseball as a metaphor, this practical, engaging session will explore the security and privacy risks with a number of technologies for storing, handling and communicating health information and highlight the legal obligations and technological requirements for collecting, preserving and producing health information as part of an electronic discovery process.
Broadband and Health Care: Legal and Policy Issues with Personal Health Records (PHR)
(2010-10-14) Hook, Sara Anne; Jones, Josette
This session will discuss the security, privacy and accessibility of PHRs and how the 2009 ARRA stimulus provisions (HITECH Act) and the 2010 National Broadband Plan facilitate, hamper or leave gaps in the implementation of PHRs for managing health information. It will also highlight unsettled legal issues with PHRs and the impact of state and federal legislation and government agencies.
If the World Can Be Your Oyster, Why Settle for Clams: Enhancing Student Learning through Meaningful Work and Global Reach
(2011-04-15) Jones, Josette; Hook, Sara Anne
This presentation will showcase the various approaches taken in online courses and in one-on-one interactions to enhance student learning and provide students with the opportunity for collaboration and connections at the local, national and even international level. Some of the approaches include service learning, international initiatives, participation in faculty research projects, faculty-guided student research at the undergraduate and graduate level, peer evaluation, co-authoring and co-presenting of research results and use of technology to build partnerships and create community.
IUPUI Center for Cancer Population Analytics and Patient-Centered Informatics
(Office of the Vice Chancellor for Research, 2014-04-11) Haggstrom, David A.; Jones, Josette; Baker, Layla
In 2012, 30,272 residents of Indiana were diagnosed with cancer. Cancer is the second leading cause of death in the state, claiming about 12,688 lives annually. $1.01 billion was spent in Indiana on direct costs of treating the cancer population in 2003. Cancer care coordination has the potential to reduce costs and improve quality in cancer care delivery. Coordination may occur both among (1) multiple cancer care providers caring for populations of cancer patients, and (2) between providers and individual patients with cancer. Coordination of care goes to the heart of a central paradox of modern cancer care, namely, the potential for unparalleled quality is as high as ever, but patients are at risk of poorly coordinated care in a fragmented system. The mission of our research center is to develop team science that applies innovative health information technologies to create knowledge that will have an impact upon the health and health care of cancer patients and populations in the state of Indiana and the U.S. To build our research portfolio, we have the following 2 main cores of activity: I. Cancer Population Analytics Core: Created by the Regenstrief Institute, the Indiana Network for Patient Care (INPC) is the nation’s most comprehensive and longest-running health information exchange. The Indianapolis area is the core of the INPC, and includes nine counties in central Indiana. The INPC repository receives data from approximately 8 million unique patients annually from over 200 data sources, including 80 emergency departments, 60 hospitals, and 100 clinics. INPC represents clinical “big data”. Data will be linked from INPC to both the Indiana state tumor registry and personal health record (PHR) platforms (II). The unique opportunity here is to use the rich, clinical data in the EHR to answer key clinical epidemiologic questions about cancer care delivery, and ultimately design interventions to improve cancer patients’ lives. II. Cancer Patient-Centered Informatics Core: OpenMRS is an open-source medical record system developed by the Regenstrief Institute. Building upon this platform, a personal health record (PHR) module has been developed and tested among patients with colorectal cancer (CRC). The PHR includes the following functions: Tab Functions My History Allows review of cancer diagnosis and treatment (surgery, chemotherapy, and radiotherapy) My Plan of Care Patient-directed decision support for follow-up tests, tailored based upon cancer type Communities Links to Web sites for cancer survivor support groups and patient educational information My Mail Client-based e-mail application to communicate with health care providers or caregivers My Journal Searchable electronic blog (journal) to collect personal observations from the patient Relationships Creates a set of role-based relationships and permissions to access all or part of the PHR My Symptoms Patients enter structured information about their symptoms and receive tailored feedback about how to self-manage symptoms Product development of new versions of cancer PHRs will include the use of iterative design and usability methods. We will set out to test the value and impact of cancer PHRs using comparative study designs, including randomized controlled trials. The following types of outcomes will be assessed: process (adherence to guideline-concordant care), clinical (psychosocial and physiologic morbidity), behavioral (patient self-efficacy), patient-centered (perceived quality of care and care continuity), and implementation (qualitative observations of the context of patient-provider coordination). We aspire for IUPUI to become a national leader in using institutional and personal electronic health information to study and improve the quality of cancer care.
Enhancing Creativity in Teaching and Learning in Online, Face-to-Face and Hybrid Courses
(2014-10-10) Hook, Sara Anne; Tennant, Felisa; Jones, Josette; Defazio, Joseph
This engaging session will feature four faculty members from one school who have incorporated a number of pedagogical and technological approaches into their courses to encourage creativity in their students while continuing to nurture their own creativity as a way to stay motivated, innovative and engaged as teachers. It will include an interactive online activities for participants with an opportunity for self-reflection and illustrate some options for encouraging and assessing creativity in higher education. The session will review current research on creativity and distill the findings into practical applications for generating a learner-centered environment in any kind of classroom setting.
Managing Patient Health Across Diverse Spaces: Using Activity Theory to Model Pervasive Decision Support
(2012) Faiola, Anthony; Boston-Clay, Crystal; Jones, Josette; Downey, Michael; Newlon, Christine M.
Clinical decision support (CDS) systems can offer health care providers and patient data that is intelligently filtered and presented in ways to enhance diagnosis and long-term health care management, both within and outside clinical spaces. Challenges to this information management include diagnostic error and inefficiencies from conflicting, incomplete, or suboptimal clinical systems [3] as well as extending care outside the traditional clinical environment. We propose a Clinical Activity Model (CAM) to understand pervasive CDS system design and use across multiple health care spaces as patients move between critical care, recovery, and long-term home care. We discuss CAM in the context of research findings comparing a novel CDS system with traditional modes of data delivery and by describing use of that system as a mobile diagnostic tool to bridge clinical care and home care.
Urinary phytoestrogens and cancer, cardiovascular, and all-cause mortality in the continuous National Health and Nutrition Examination Survey
(Springer, 2015-05) Reger, Michael K.; Zollinger, Terrell W.; Liu, Ziyue; Jones, Josette; Zhang, Jianjun; Department of Epidemiology, Richard M. Fairbanks School of Public Health
Purpose Experimental studies suggest that phytoestrogen intake alters cancer and cardiovascular risk. This study investigated the associations of urinary phytoestrogens with total cancer (n = 79), cardiovascular (n = 108), and all-cause (n = 290) mortality among 5179 participants in the continuous National Health and Nutrition Examination Survey (1999–2004). Methods Urinary phytoestrogens were measured using high-performance liquid chromatography with tandem mass spectrometric detection. Survival analysis was performed to evaluate hazard ratios (HRs) and 95 % confidence intervals (CIs) for each of the three outcomes in relation to urinary phytoestrogens. Results After adjustment for confounders, higher urinary concentrations of total enterolignans were associated with a reduced risk of death from cardiovascular disease (HR for tertile 3 vs. tertile 1 0.48; 95 % CI 0.24, 0.97), whereas higher urinary concentrations of total isoflavones (HR for tertile 3 vs. tertile 1 2.14; 95 % CI 1.03, 4.47) and daidzein (HR for tertile 3 vs. tertile 1 2.05; 95 % CI 1.02, 4.11) were associated with an increased risk. A reduction in all-cause mortality was observed for elevated urinary concentrations of total enterolignans (HR for tertile 3 vs. tertile 1 0.65; 95 % CI 0.43, 0.96) and enterolactone (HR for tertile 3 vs. tertile 1 0.65; 95 % CI 0.44, 0.97). Conclusions Some urinary phytoestrogens were associated with cardiovascular and all-cause mortality in a representative sample of the US population. This is one of the first studies that used urinary phytoestrogens as biomarkers of their dietary intake to evaluate the effect of these bioactive compounds on the risk of death from cancer and cardiovascular disease.
IUPUI Center for Cancer Population Analytics and Patient-Centered Informatics
(Office of the Vice Chancellor for Research, 2015-04-17) Haggstrom, David A.; Jones, Josette; Baker, Layla
Abstract: More than 30,000 Indiana residents are diagnosed with cancer each year. Cancer is the second leading cause of death in the state, claiming more than 12,000 lives annually. More than $1 billion was spent in Indiana on direct costs of treating the cancer population in 2003. Indirect costs to cancer patients and their families are also of great importance. Cancer care coordination has the potential to reduce costs and improve quality in cancer care delivery. Coordination may occur both among (1) multiple cancer care providers caring for populations of cancer patients, and (2) between providers and individual patients with cancer The IUPUI Center for Cancer Population Analytics and Patient-Centered Informatics was established in 2013. The center’s mission is to develop team science that combines innovative health information technologies with rigorous health services research methods in order to create knowledge that will have an impact upon the health and health care of patients and populations with cancer in the state of Indiana and the U.S. The center’s goals are (1) to build collaborative, multidisciplinary scientific teams to create national leaders in the state of Indiana in the fields of cancer health services research and informatics, and (2) to perform top-tier national cancer health services research and “big data” analytics to improve the quality, efficiency, coordination, and outcomes of cancer care The Center Cores: To build our research portfolio, we have the following 2 main cores of activity: I. Cancer Population Analytics Core: Data sources from multiple health care organizations throughout central Indiana are being joined together to answer important clinical/epidemiologic questions regarding the quality of cancer care, and design population-based, system interventions to improve the lives of Indiana cancer patients. Further support has been leveraged for this work, namely, the IU Cancer Center has provided a pilot grant to link the Indiana state cancer registry with data from the Regenstrief Institute’s Indiana Network for Patient Care in order to study the utilization of high-cost imaging among cancer survivors. Furthermore, support from a Regenstrief/Merck collaboration will facilitate assessment of the quality of the data linkage at the level of both the patient and cancer case. II. Cancer Patient-Centered Informatics Core: Multiple platforms are being leveraged to develop and test patient-centered technologies to enable individuals to track health care received and communicate with providers. Utilizing OpenMRS, a personal health record (PHR) module was created for colorectal cancer patients including treatment summary information, evidence-based decision support regarding surveillance, and online communication tools. Additional development is being focused upon updating the user interface, creating patient social networks, and providing tools to support patient well-being. Support has also been obtained from the Walther Cancer Foundation to collect information about patient symptoms and from the Regenstrief/Merck collaboration to collect patient-reported outcome measures. Finally, an NIH proposal has been developed for the SUrvivorship Care Plan-PERsonal Health Record Intervention Trial (SUPER-IT), a randomized controlled trial designed to test the effect of this new technology upon both the quality of care received and patient-centered outcomes.
A Novel Pipeline for Targeting Breast Cancer Patients on Twitter for Clinical Trial Recruitment
(Office of the Vice Chancellor for Research, IUPUI, 2016-04-08) Sligh, Jon; Abedtash, Hamed; Yang, Mengye; Zhang, Enming; Jones, Josette
Background and Preliminary Exploration: Breast cancer is the leading form of cancer in women, estimated to reach the incidence rate of 246,660 in 2016 in the US population. Scientist have developed new therapies for mitigating the disease and side effects in recent years through conducting randomized clinical trials as the gold standard clinical research method. However, recruiting individuals into clinical trials including breast cancer patients has remained a significant challenge. Our preliminary analysis on ClinicalTrial.gov registry showed that the majority of terminated clinical trials were due to recruitment challenges. Out of 525 terminated trials on breast cancer patients registered in the database, 230 (43.8%) of the terminations happened due to low or slow accrual, 34 (6.5%) due to lack of funding, and 31 (5.9%) due to toxicity concerns. Objectives: In this study, we developed and assess a scalable framework to identify Twitter users who have breast cancer based on personal health mentions on Twitter. In fact, we are looking for “fingerprints” of patients’ health status on Twitter, a microblogging social networking service. This method could provide a new avenue for contacting potential study candidates for recruitment. Methods: We analyzed the tweets of users who were following at least one of the top 40 twitter accounts where breast cancer patients gather. The rationale behind this approach is that cancer patients are following certain Twitter accounts to access support from other patients, doctors, or healthcare institutions. Consequently, these top twitter accounts provide a central point in which to find actual patients with breast cancer. We retrieved users’ tweets from Twitter API, and processed through the framework to match cancer relevant words and phrases individually and in combinations (caner, benign, malignant, etc.), possessive terms (I, my, has, have, etc.), and supporting attributes (mass, tumor, hair loss, etc.) to determine if the user has been diagnosed with cancer. The performance of the pipeline was measured in terms of sensitivity and specificity of detecting actual breast cancer patients. Results: We retrieved 25,870,106 tweets of 40 cancer community followers on Twitter. After excluding “retweets” and non-related breast cancer messages, we selected 81,429 tweets for further processing. The developed text processing pipeline could find total of 462 tweets based on the predefined sets of rules, representing 218 unique users. Our new method of Twitter data retrieval and text processing could identify breast cancer patients with remarkable sensitivity of 88.7% and specificity of 91.0%.
The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature
(JMIR, 2016) Sawesi, Suhila; Rashrash, Mohamed; Phalakornkule, Kanitha; Carpenter, Janet S.; Jones, Josette F.; Department of BioHealth Informatics, School of Informatics and Computing
Background: Advancements in information technology (IT) and its increasingly ubiquitous nature expand the ability to engage patients in the health care process and motivate health behavior change. Objective: Our aim was to systematically review the (1) impact of IT platforms used to promote patients' engagement and to effect change in health behaviors and health outcomes, (2) behavior theories or models applied as bases for developing these interventions and their impact on health outcomes, (3) different ways of measuring health outcomes, (4) usability, feasibility, and acceptability of these technologies among patients, and (5) challenges and research directions for implementing IT platforms to meaningfully impact patient engagement and health outcomes. Methods: PubMed, Web of Science, PsycINFO, and Google Scholar were searched for studies published from 2000 to December 2014. Two reviewers assessed the quality of the included papers, and potentially relevant studies were retrieved and assessed for eligibility based on predetermined inclusion criteria. Results: A total of 170 articles met the inclusion criteria and were reviewed in detail. Overall, 88.8% (151/170) of studies showed positive impact on patient behavior and 82.9% (141/170) reported high levels of improvement in patient engagement. Only 47.1% (80/170) referenced specific behavior theories and only 33.5% (57/170) assessed the usability of IT platforms. The majority of studies used indirect ways to measure health outcomes (65.9%, 112/170). Conclusions: In general, the review has shown that IT platforms can enhance patient engagement and improve health outcomes. Few studies addressed usability of these interventions, and the reason for not using specific behavior theories remains unclear. Further research is needed to clarify these important questions. In addition, an assessment of these types of interventions should be conducted based on a common framework using a large variety of measurements; these measurements should include those related to motivation for health behavior change, long-standing adherence, expenditure, satisfaction, and health outcomes. [JMIR Med Inform 2016;4(1):e1]

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