Article
Medicine, General & Internal
Hanan Aboumatar, Samantha Pitts, Ritu Sharma, Asar Das, Brandon M. Smith, Jeff Day, Katherine Holzhauer, Sejean Yang, Eric B. Bass, Wendy L. Bennett
Summary: This study identified and mapped the evidence on patient and family engagement (PFE) strategies for adults with chronic conditions. The findings suggest that PFE is critical to improving outcomes, and more research is needed on strategies at the health system and community-policy levels.
SYSTEMATIC REVIEWS
(2022)
Article
Health Care Sciences & Services
Mary E. Cooley, Emanuele Mazzola, Niya Xiong, Fangxin Hong, David F. Lobach, Ilana M. Braun, Barbara Halpenny, Michael S. Rabin, Ellis Johns, Kathleen Finn, Donna Berry, Ruth McCorkle, Janet L. Abrahm
Summary: Clinical decision support improved clinical management for outpatient lung cancer patients, but did not improve patient outcomes and health-related quality of life. Further larger studies are needed to evaluate effectiveness.
JOURNAL OF PAIN AND SYMPTOM MANAGEMENT
(2022)
Review
Oncology
Erin Pitt, Natalie Bradford, Eden Robertson, Ursula M. Sansom-Daly, Kimberly Alexander
Summary: The study aimed to identify and synthesize the available literature regarding the effects of Decision Support Systems (DSS) on patient-reported outcomes during and after cancer treatment. The findings showed mixed results, with DSS interventions being effective in reducing pain but not significantly improving other health-related patient-reported outcomes.
EUROPEAN JOURNAL OF ONCOLOGY NURSING
(2023)
Article
Computer Science, Artificial Intelligence
Tianhua Chen, Changjing Shang, Pan Su, Elpida Keravnou-Papailiou, Yitian Zhao, Grigoris Antoniou, Qiang Shen
Summary: Intelligent systems in healthcare applications require interpretable machine learning models for clinicians to query and validate medical knowledge. Fuzzy rule-based models reflect associations between medical conditions and symptoms, tolerating vague concepts for approximate reasoning. This paper proposes learning accurate and interpretable fuzzy rule bases for clinical decision support, demonstrating statistically better or comparable performance to state-of-the-art fuzzy classifiers.
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2021)
Article
Economics
Debra Wujcik, William N. Dudley, Matthew Dudley, Vibha Gupta, Jeannine Brant
Summary: This study aimed to test the feasibility and effectiveness of an electronic patient symptom management program implemented during the COVID-19 pandemic. The results showed a high completion rate among participating patients, and effective management of severe symptoms.
Article
Health Care Sciences & Services
Hana Bangash, Omar Elsekaily, Seyedmohammad Saadatagah, Joseph Sutton, Paul Johnsen, Justin H. H. Gundelach, Arailym Kamzabek, Robert Freimuth, Pedro J. J. Caraballo, Iftikhar J. J. Kullo
Summary: Familial Hypercholesterolemia (FH) is greatly underestimated in the United States. Clinical decision support (CDS) can be effective in improving FH detection when integrated into clinical workflows. The deployment of FH CDS at an academic medical center has received positive feedback from clinicians and has the potential to enhance early diagnosis and patient management.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Review
Public, Environmental & Occupational Health
Brandon M. Smith, Ritu Sharma, Asar Das, Hanan Aboumatar, Samantha I. Pitts, Jeff Day, Katherine Holzhauer, Eric Bass, Wendy L. Bennett
Summary: The study found that engagement strategies for children and adolescents with chronic disease are mainly focused on direct patient care, especially for asthma. More research is needed to address engagement for broader populations, expanded outcomes, and at health system and community levels in the future.
PATIENT EDUCATION AND COUNSELING
(2021)
Article
Critical Care Medicine
Alexander Joeris, Tracy Y. Zhu, Simon Lambert, Andrea Wood, Prakash Jayakumar
Summary: Patient-reported outcomes (PROs) capture data related to patients' perception of their health status and aspects of health care delivery. These PROs, along with digital innovations, can be actively incorporated in clinical practice and enable shared decision making. This technology-driven approach enhances musculoskeletal care and improves the clinician-patient experience of decision making.
INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED
(2023)
Article
Computer Science, Information Systems
Allison B. McCoy, Elise M. Russo, Kevin B. Johnson, Bobby Addison, Neal Patel, Jonathan P. Wanderer, Dara E. Mize, Jon G. Jackson, Thomas J. Reese, SyLinda Littlejohn, Lorraine Patterson, Tina French, Debbie Preston, Audra Rosenbury, Charlie Valdez, Scott D. Nelson, Chetan Aher, Mhd Wael Alrifai, Jennifer Andrews, Cheryl Cobb, Sara N. Horst, David P. Johnson, Lindsey A. Knake, Adam A. Lewis, Laura Parks, Sharidan K. Parr, Pratik Patel, Barron L. Patterson, Christine M. Smith, Krystle D. Suszter, Robert W. Turer, Lyndy J. Wilcox, Aileen P. Wright, Adam Wright
Summary: The Clickbusters initiative at VUMC successfully optimized clinical decision support alerts by reducing alert firings and clicks, increasing user engagement, and fostering a culture of continuous evaluation and improvement of clinical content in the electronic health record.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Gaetano Manzo, Yvan Pannatier, Patrick Duflot, Philippe Kolh, Marcela Chavez, Valerie Bleret, Davide Calvaresi, Oscar Jimenez-del-Toro, Michael Schumacher, Jean -Paul Calbimonte
Summary: Personalized support and assistance are crucial for cancer survivors due to the physical and psychological challenges they face. Digital assistive technologies, such as exercise monitoring and emotional support, have demonstrated their effectiveness in improving the quality of life for cancer survivors. This paper presents a Machine Learning-based survival model integrated into a clinical decision system architecture to predict cancer survivors' trajectories. The proposed system, named PERSIST, incorporates the enrichment and pre-processing of clinical datasets and the development of clinical decision support modules, including the detection of high-risk markers.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Oncology
Li Tang, Hongfan Yu, Wei Dai, Xiaojun Yang, Xing Wei, Xin Shelley Wang, Charles S. S. Cleeland, Qiang Li, Qiuling Shi
Summary: This study analyzed symptom trajectories after lung cancer surgery to understand patient heterogeneity and identify patients in need of extensive care.
ANNALS OF SURGICAL ONCOLOGY
(2023)
Article
Oncology
Marika Bana, Karin Ribi, Solange Peters, Susanne Kropf-Staub, Ernst Naef, Sabin Zuercher-Florin, Barbara Stoffel, Cornelia Blaeuer, Markus Borner, Diana Malin, Rebecca Biber, Daniel Betticher, Trudy Kuhn-Baechler, Nathan Cantoni, Thomas Seeger, Lukas Buetikofer, Manuela Eicher
Summary: This study aimed to evaluate the effect of the Symptom Navi Program (SNP) on cancer patients' symptom management. The results did not show a significant impact of SNP on patient-reported symptom outcomes, self-efficacy, or symptom management support, suggesting the need for reconsideration of training content and intervention procedures.
Article
Health Care Sciences & Services
Bryan D. Steitz, Gen Li, Adam Wright, Brent Dunworth, Robert E. Freundlich, Jonathan P. Wanderer
Summary: Positive patient identification is crucial for ensuring correct patient identity before healthcare delivery. A study found that using a clinical decision support tool can significantly improve the success rate of patient identification, thereby enhancing patient safety workflows.
JOURNAL OF MEDICAL SYSTEMS
(2022)
Article
Computer Science, Information Systems
Prashila Dullabh, Shana F. Sandberg, Krysta Heaney-Huls, Lauren S. Hovey, David F. Lobach, Aziz Boxwala, Priyanka J. Desai, Elise Berliner, Chris Dymek, Michael Harrison, James Swiger, Dean F. Sittig
Summary: The study identified 12 challenges for patient-centered clinical decision support (PC CDS) development, including lack of patient input and standardized terminologies, as well as insufficient research on measuring clinical outcomes. It also highlighted the importance of building trust between patients and providers and addressing their concerns throughout the development process. Opportunities for advancing PC CDS include developing industry-wide practices and engaging patients in research to ensure relevant outcome measures.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2022)
Article
Public, Environmental & Occupational Health
Filipa Ventura, Pedro Sousa, Maria Anjos Dixe, Paulo Ferreira, Ricardo Martinho, Sara Simoes Dias, Joao Morais, Lino M. Goncalves
Summary: This study protocol aims to assess the effectiveness of a user-friendly, comprehensive Clinical Decision Support System (CDSS) for remote patient monitoring of CVD patients, primarily on the reduction of recurrent cardiovascular events. The study will follow a multicenter randomized controlled design involving two cardiology units in Portugal. The study will provide personalized recommendations and monitoring plans for patients undergoing cardiac rehabilitation.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Health Care Sciences & Services
Sue E. Morris, Manan M. Nayak, Susan D. Block
JOURNAL OF PALLIATIVE MEDICINE
(2020)
Letter
Oncology
Desiree R. Azizoddin, Andrea C. Enzinger, Alexi A. Wright, Miryam Yusufov, James A. Tulsky, Eric G. Campbell, Dragana Bolcic-Jankovic, Manan M. Nayak, Ilana M. Braun
JOURNAL OF GERIATRIC ONCOLOGY
(2020)
Article
Oncology
Ilana M. Braun, Manan M. Nayak, Anna Revette, Alexi A. Wright, Peter R. Chai, Miryam Yusufov, William F. Pirl, James A. Tulsky
Summary: Patients with cancer using medical cannabis often lack medical oversight, with certifications typically issued after brief consultations with unfamiliar professionals. Patients frequently rely on personal experimentation and nonmedical sources for information about medical cannabis.
Article
Genetics & Heredity
Meghan Underhill-Blazey, Traci Blonquist, Anu Chittenden, Rachel Pozzar, Manan Nayak, Kristina Lansang, Fangxin Hong, Judy Garber, Jill E. Stopfer
Summary: The study describes the patient-reported experiences and recommendations to improve the genetic counseling and multigene panel testing process. Most participants reported satisfaction with the process. The study found that factors such as age, marital status, education level, type of cancer diagnosis, and genetic testing results were significantly associated with satisfaction levels.
JOURNAL OF GENETIC COUNSELING
(2021)
Article
Oncology
Rachel A. Pozzar, Fangxin Hong, Niya Xiong, Jill E. Stopfer, Manan M. Nayak, Meghan Underhill-Blazey
Summary: This study aimed to explore factors associated with the psychosocial impact and cancer genetics knowledge in ovarian cancer patients undergoing genetic counseling and testing. Positive genetic test results were linked to greater adverse psychosocial impacts, while older age and minority racial or ethnic group membership were associated with lower knowledge levels. Patients expressed a desire for clinicians to support family communication, improve result disclosure, and enhance understanding of results.
Letter
Oncology
Timothy S. Sannes, Manan M. Nayak, Stephanie Tung, Peter R. Chai, Miryam Yusufov, Dragana Bolcic-Jankovic, William F. Pirl, Ilana M. Braun
CANCER COMMUNICATIONS
(2021)
Article
Health Care Sciences & Services
Stephanie C. Tung, Manan M. Nayak, Peter R. Chai, James Tulsky, Timothy S. Sannes, Miryam Yusufov, Ilana M. Braun
Summary: Patients with cancer use medicinal cannabis for symptom management and cancer-directed therapy. The high experienced from medicinal cannabis is seen as a barrier to its use and patients try to avoid prolonged periods of being high.
JOURNAL OF PALLIATIVE MEDICINE
(2022)
Article
Substance Abuse
Manan M. Nayak, Emanuele Mazzola, Michael T. Jaklitsch, Jeremy E. Drehmer, Emara Nabi-Burza, Raphael Bueno, Jonathan P. Winickoff, Mary E. Cooley
Summary: The objective of this study was to determine the feasibility of using a computer-facilitated system to screen for tobacco use and provide smoking cessation services in an outpatient thoracic surgery and oncology setting. The results showed that implementing such a system was feasible and about half of the smokers were interested in receiving smoking cessation treatment.
TOBACCO INDUCED DISEASES
(2022)
Article
Oncology
Ilana M. Braun, Manan M. Nayak, Jane E. Roberts, Peter R. Chai, James A. Tulsky, Donald I. Abrams, William Pirl
Summary: The study found that cannabis dispensary personnel are passionate about their profession but lack standardized and high-quality training, resulting in uneven levels of knowledge. Therefore, there is a need for quality, standardized cannabis therapeutics training for dispensary personnel.
JCO ONCOLOGY PRACTICE
(2022)
Article
Medicine, Research & Experimental
Mary E. Cooley, Peter J. Castaldi, Emanuele Mazzola, Meghan Underhill Blazey, Manan M. Nayak, Michael J. Healey, Christopher S. Lathan, Andrea Borondy-Kitts, Rosanna F. DeMarco, Sun S. Kim
Summary: Low dose computed tomography (LDCT) is an effective screening test for reducing lung cancer deaths and may serve as a teachable moment for smoking cessation. Innovative strategies are needed to engage high-risk individuals in learning about LDCT screening. Polygenic risk scores and personalized interventions can improve precision health and tobacco cessation programs.
CONTEMPORARY CLINICAL TRIALS
(2023)
Article
Oncology
Manan M. Nayak, Anna Revette, Peter R. Chai, Kristina Lansang, Timothy Sannes, Stephanie Tung, Ilana M. Braun
Summary: This study found that medical cannabis-related stigma is widespread among cancer patients, particularly in medical settings. Some participants chose to hide their use of medical cannabis. The findings also suggest that there may be an early shift towards greater acceptance of medical cannabis, especially in non-medical settings.
JOURNAL OF CANCER SURVIVORSHIP
(2023)
Article
Oncology
Sayantani Sarkar, Ilana M. Braun, Manan Nayak, Angela D. Bryan, Hermine Poghosyan
Summary: This study estimated the prevalence and reasons for cannabis use among cancer survivors during the COVID-19 pandemic. The prevalence of past 30-day cannabis use remained stable during the pandemic, with a percentage of users reporting medical reasons. The study also identified specific subpopulations of cancer survivors who were more likely to use cannabis.
JNCI CANCER SPECTRUM
(2023)
Article
Oncology
Manan M. Nayak, Peter R. Chai, Stephanie Tung, James A. Tulsky, Marilyn Hammer, Nicole Andrade, Ilana M. Braun
Summary: This study explored the views and experiences of dispensary personnel regarding the use of medicinal cannabis in cancer patients. The majority of dispensary personnel believed that cannabis could effectively manage cancer-related symptoms, but opinions on its antineoplastic potential varied. They recommended client-centered, symptom-based, and trial-and-error approaches when serving cancer patients, with non-inhalation modes of administration generally being preferred. Challenges in oncologic advising included identifying patients, financial toxicity, and lack of standardized guidelines.
Letter
Pharmacology & Pharmacy
Manan M. Nayak, Peter R. Chai, Stephanie Tung, Timothy S. Sannes, Miryam Yusufov, Ilana M. Braun
CANNABIS AND CANNABINOID RESEARCH
(2023)
Article
Psychology, Social
Eric S. Zhou, Manan M. Nayak, Peter R. Chai, Ilana M. Braun
Summary: The study found that the majority of cancer patients use medicinal cannabis to improve sleep, reporting better sleep initiation and quality, decreased use of sleep medications, and overall improved health as a result. No participants reported ineffectiveness or undesirable side effects when using medicinal cannabis for sleep.
JOURNAL OF PSYCHOSOCIAL ONCOLOGY
(2022)