scholarly journals Assumption-based argumentation with preferences and goals for patient-centric reasoning with interacting clinical guidelines

2020 ◽  
pp. 1-41
Author(s):  
Kristijonas Čyras ◽  
Tiago Oliveira ◽  
Amin Karamlou ◽  
Francesca Toni
Keyword(s):  
Clinical Guidelines ◽  
Automated Reasoning ◽  
Patient Management ◽  
Personalised Medicine ◽  
Well Being ◽  
Patient Specific ◽  
Specific Information ◽  
Patient Centered ◽  
Computational Argumentation ◽  
Patient Centric

A paramount, yet unresolved issue in personalised medicine is that of automated reasoning with clinical guidelines in multimorbidity settings. This entails enabling machines to use computerised generic clinical guideline recommendations and patient-specific information to yield patient-tailored recommendations where interactions arising due to multimorbidities are resolved. This problem is further complicated by patient management desiderata, in particular the need to account for patient-centric goals as well as preferences of various parties involved. We propose to solve this problem of automated reasoning with interacting guideline recommendations in the context of a given patient by means of computational argumentation. In particular, we advance a structured argumentation formalism ABA+G (short for Assumption-Based Argumentation with Preferences (ABA+) and Goals) for integrating and reasoning with information about recommendations, interactions, patient’s state, preferences and prioritised goals. ABA+G combines assumption-based reasoning with preferences and goal-driven selection among reasoning outcomes. Specifically, we assume defeasible applicability of guideline recommendations with the general goal of patient well-being, resolve interactions (conflicts and otherwise undesirable situations) among recommendations based on the state and preferences of the patient, and employ patient-centered goals to suggest interaction-resolving, goal-importance maximising and preference-adhering recommendations. We use a well-established Transition-based Medical Recommendation model for representing guideline recommendations and identifying interactions thereof, and map the components in question, together with the given patient’s state, prioritised goals, and preferences over actions, to ABA+G for automated reasoning. In this, we follow principles of patient management and establish corresponding theoretical properties as well as illustrate our approach in realistic personalised clinical reasoning scenaria.

scholarly journals Time for Precision: A World Without Susceptibility Breakpoints

2018 ◽  
Vol 5 (12) ◽  
Author(s):  
Justin C Bader ◽  
Elizabeth A Lakota ◽  
David R Andes ◽  
Christopher M Rubino ◽  
Paul G Ambrose ◽  
...  
Keyword(s):  
Treatment Success ◽  
Professional Organizations ◽  
Patient Specific ◽  
Specific Information ◽  
Patient Centered ◽  
In Vitro Susceptibility ◽  
Centered Care ◽  
In Vitro Susceptibility Testing ◽  
Selection Of

Abstract Interpretive criteria for in vitro susceptibility testing criteria, “susceptibility breakpoints,” underpin the evaluation and selection of antimicrobial regimens. However, despite their strengths, susceptibility breakpoints are a relatively blunt instrument employed to address an extremely complex question—what is the likelihood of treatment success for individual patients? With regard to evaluating patients on a case-by-case basis, breakpoints merely allow us to account for pathogen susceptibility. This approach precludes consideration of drug exposures achieved in patients, thus overlooking half of the equation for predicting treatment success. Herein, we propose the framework for considering both pathogen- and patient-specific information to provide clinicians a means of evaluating antimicrobial regimens for individual patients through tools automating pharmacokinetic-pharmacodynamic target attainment analyses. Implementing these tools along with their acceptance by professional organizations will allow for a shift in the paradigm for how antimicrobials are selected and dosed—toward patient-centered care through precision medicine.

scholarly journals How Sensor, Signal, and Imaging Informatics May Impact Patient Centered Care and Care Coordination

2015 ◽  
Vol 24 (01) ◽  
pp. 102-105
Author(s):  
A. Moreau-Gaudry ◽  
S. Voros ◽  
Keyword(s):  
Care Coordination ◽  
Review Process ◽  
Patient Centered Care ◽  
Imaging Informatics ◽  
Patient Specific ◽  
Specific Information ◽  
Sensor Signal ◽  
Patient Centered ◽  
Excellent Research ◽  
Centered Care

Summary Objective: This synopsis presents a selection for the IMIA (International Medical Informatics Association) Yearbook 2015 of excellent research in the broad field of Sensor, Signal, and Imaging Informatics published in the year 2014, with a focus on patient centered care coordination. Methods: The two section editors performed a systematic initial selection and a double blind peer review process to select a list of candidate best papers in the domain published in 2014, from the PubMed and Web of Science databases. A set of MeSH keywords provided by experts was used. This selection was peer-reviewed by external reviewers. Results: The review process highlighted articles illustrating two current trends related to care coordination and patient centered care: the enhanced capacity to predict the evolution of a disease based on patient-specific information can impact care coordination; similarly, better perception of the patient and his treatment could lead to enhanced personalized care with a potential impact on care coordination. Conclusions: This review shows the multiplicity of angles from which the question of patient-centered care can be addressed, with consequences on care coordination that will need to be confirmed and demonstrated in the future.

Tailoring Communications for Primary Care Settings

1998 ◽  
Vol 37 (02) ◽  
pp. 171-178 ◽  
Author(s):  
B. Glassman ◽  
B. K. Rimer
Keyword(s):  
Primary Care ◽  
Health Professionals ◽  
Contact Time ◽  
Behavioral Changes ◽  
Patient Specific ◽  
Specific Information ◽  
Medical Settings ◽  
Primary Care Settings ◽  
Professional Contact ◽  
Tailored Communications

AbstractIn more and more medical settings, physicians have less and less time to be effective communicators. To be effective, they need accurate, current information about their patients. Tailored health communications can facilitate positive patient-provider communications and foster behavioral changes conducive to health. Tailored communications (TCs) are produced for an individual based on information about that person. The focus of this report is on tailored print communications (TPCs). TPCs also enhance the process of evaluation, because they require a database and the collection of patient-specific information. We present a Tailoring Model for Primary Care that describes the steps involved in creating TPCs. We also provide examples from three ongoing studies in which TPCs are being used in order to illustrate the kinds of variables used for tailoring the products that are developed and how evaluation is conducted. TPCs offer opportunities to expand the reach of health professionals and to give personalized, individualized massages in an era of shrinking professional contact time.

scholarly journals Assessment of patient specific information in the wild on fundus photography and optical coherence tomography

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Marion R. Munk ◽  
Thomas Kurmann ◽  
Pablo Márquez-Neila ◽  
Martin S. Zinkernagel ◽  
Sebastian Wolf ◽  
...  
Keyword(s):  
Deep Learning ◽  
Cross Sections ◽  
Underlying Disease ◽  
Geographic Atrophy ◽  
Clinical Population ◽  
Fundus Photography ◽  
Peak Performance ◽  
Patient Specific ◽  
Specific Information ◽  
Fundus Images

AbstractIn this paper we analyse the performance of machine learning methods in predicting patient information such as age or sex solely from retinal imaging modalities in a heterogeneous clinical population. Our dataset consists of N = 135,667 fundus images and N = 85,536 volumetric OCT scans. Deep learning models were trained to predict the patient’s age and sex from fundus images, OCT cross sections and OCT volumes. For sex prediction, a ROC AUC of 0.80 was achieved for fundus images, 0.84 for OCT cross sections and 0.90 for OCT volumes. Age prediction mean absolute errors of 6.328 years for fundus, 5.625 years for OCT cross sections and 4.541 for OCT volumes were observed. We assess the performance of OCT scans containing different biomarkers and note a peak performance of AUC = 0.88 for OCT cross sections and 0.95 for volumes when there is no pathology on scans. Performance drops in case of drusen, fibrovascular pigment epitheliuum detachment and geographic atrophy present. We conclude that deep learning based methods are capable of classifying the patient’s sex and age from color fundus photography and OCT for a broad spectrum of patients irrespective of underlying disease or image quality. Non-random sex prediction using fundus images seems only possible if the eye fovea and optic disc are visible.

scholarly journals Depression patient-derived cortical neurons reveal potential biomarkers for antidepressant response

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yishai Avior ◽  
Shiri Ron ◽  
Dana Kroitorou ◽  
Claudia Albeldas ◽  
Vitaly Lerner ◽  
...  
Keyword(s):  
Cortical Neurons ◽  
Antidepressant Treatment ◽  
Patient Specific ◽  
Specific Gene ◽  
Specific Information ◽  
Patient Response ◽  
Patient Will ◽  
Gene Expression Alterations ◽  
Treatment Alternatives

AbstractMajor depressive disorder is highly prevalent worldwide and has been affecting an increasing number of people each year. Current first line antidepressants show merely 37% remission, and physicians are forced to use a trial-and-error approach when choosing a single antidepressant out of dozens of available medications. We sought to identify a method of testing that would provide patient-specific information on whether a patient will respond to a medication using in vitro modeling. Patient-derived lymphoblastoid cell lines from the Sequenced Treatment Alternatives to Relieve Depression study were used to rapidly generate cortical neurons and screen them for bupropion effects, for which the donor patients showed remission or non-remission. We provide evidence for biomarkers specific for bupropion response, including synaptic connectivity and morphology changes as well as specific gene expression alterations. These biomarkers support the concept of personalized antidepressant treatment based on in vitro platforms and could be utilized as predictors to patient response in the clinic.

scholarly journals Veterans Health Administration’s Whole Health System of Care: Supporting the Health, Well-Being, and Resiliency of Employees

2021 ◽  
Vol 10 ◽  
pp. 216495612110226
Author(s):  
Kavitha P Reddy ◽  
Tamara M Schult ◽  
Alison M Whitehead ◽  
Barbara G Bokhour
Keyword(s):  
Health System ◽  
Care Delivery ◽  
Health Planning ◽  
Well Being ◽  
Employee Health ◽  
Veterans Health ◽  
Health Administration ◽  
Patient Centered ◽  
Foundational Work ◽  
Health And Well Being

The Veterans Health Administration (VHA) is implementing a Whole Health System (WHS) of care that empowers and equips Veterans to take charge of their health and well-being and live their lives to the fullest, and increasingly leaders recognize the need and value in implementing a similar approach to support the health and well-being of employees. The purpose of this paper is to do the following: 1) provide an overview of the WHS of care in VHA and applicability in addressing employee resiliency; 2) provide a brief history of employee well-being efforts in VHA to date; 3) share new priorities from VHA leadership as they relate to Employee Whole Health strategy and implementation; and 4) provide a summary of the impacts of WHS of care delivery on employees. The WHS of care utilizes all therapeutic, evidence-based approaches to support self-care goals and personal health planning. Extending these approaches to employees builds upon 10 years of foundational work supporting employee health and well-being in VHA. In 2017, one facility in each of the 18 Veterans Integrated Service Networks (VISNs) in VHA was selected to participate in piloting the WHS of care with subsequent evaluation by VA’s Center for Evaluating Patient-Centered Care (EPCC). Early outcomes, from an employee perspective, suggest involvement in the delivery of the WHS of care and personal use of the whole health approach have a meaningful impact on the well-being of employees and how they experience the workplace. During the COVID-19 pandemic, VHA has continued to support employees through virtual resources to support well-being and resiliency. VHA's shift to this patient-centered model is supporting not only Veteran care but also employee health and well-being at a time when increased support is needed.

scholarly journals Reframing the Medication Experience in Pharmacy Using Seminal Concepts of Patient-Centered Care—Implications for Practice

Pharmacy ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 9
Author(s):  
Brian Isetts ◽  
Anthony Olson ◽  
Jon Schommer
Keyword(s):  
Therapeutic Relationship ◽  
Secondary Analysis ◽  
Patient Centered Care ◽  
National Sample ◽  
Patient Specific ◽  
Structured Interviews ◽  
Patient Centeredness ◽  
Patient Centered ◽  
Centered Care ◽  
Medication Experience

Team-based, Patient-Centered Care is essential to chronic disease prevention and management but there are differing ideas about the concept’s meaning across healthcare populations, settings and professions. This commentary’s objective is to empirically evaluate the theoretical relationships of the [a] Medication Experience, [b] Patient-Centeredness and other relevant component concepts from pharmaceutical care (i.e., [c] Therapeutic Relationship, [d] Patient-specific preferences for achieving goals of therapy and resolving drug therapy problems) so as to provide practice-based insights. This is achieved using a secondary analysis of 213 excerpts generated from in-depth semi-structured interviews with a national sample of pharmacists and patients about Patient-Centeredness in pharmacist practice. The four component concepts (i.e., a–d) related to the objective were examined and interpreted using a novel 3-archetype heuristic (i.e., Partner, Client and Customer) revealing common practice-based themes related to care preferences and expectations in collaborative goal setting, enduring relationships, value co-creation and evolving patient expectations during challenging medical circumstances. Most practice-based insights were generated within the Partner archetype, likely reflecting high congruence with pharmacist and patient responses related to the Medication Experience and Therapeutic Relationship. The practice-based insights may be especially useful for new practitioners and students accelerating their advancement in providing effective and efficient Patient-Centered Care.

Improving the Perception of Patient-Centered Wellness in a Virtual Population During the COVID-19 Pandemic

2021 ◽  
pp. JDNP-D-20-00078
Author(s):  
Sybilla Myers ◽  
Christopher Kennedy
Keyword(s):  
Quality Of Life ◽  
Decision Making ◽  
Shared Decision Making ◽  
Cognitive Theory ◽  
Well Being ◽  
Mobile App ◽  
Shared Decision ◽  
Patient Centered ◽  
The Social

BackgroundPerceived health-related quality of life (HRQOL) is fundamental to well-being and is a meaningful way to measure physical and mental health.Local ProblemNo standard method exists for measuring perceived HRQOL during the COVID-19 pandemic in participants as they attempt to improve their self-determined wellness goals. An implementation plan that considers the social distancing limitations imposed can be used to predict an individual’s likelihood of long-term success.MethodsDuring the four, 2-week plan-do-study-act (PDSA) cycles, the Social Cognitive Theory model informed the implementation of the four core interventions. To guide iterative changes, the data was analyzed through Excel and run charts.InterventionsThe four core interventions were the shared decision-making tool (SDMT), health mobile app tool (HMAT), wellness tracker tool (WTT), and the team engagement plan.ResultsAmong 28 participants, perceived quality of life increased by 70%, engagement in shared decision-making increased to 82%, app use and confidence increased to 85%, and goal attainment reached 81%.ConclusionsThe SDMT, health app, and wellness tracker created a methodical plan of accountability for increasing participant wellness. The contextual barrier of the COVID-19 pandemic added a negative wellness burden which was mitigated by creating a patient-centered culture of wellness.

What gets resident physicians stressed and how would they prefer to be supported? A best–worst scaling study

2021 ◽  
pp. postgradmedj-2021-140719
Author(s):  
Andrew Wu ◽  
Ritika S Parris ◽  
Timothy M Scarella ◽  
Carrie D Tibbles ◽  
John Torous ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Emergency Medicine ◽  
Peer Support ◽  
Well Being ◽  
Specific Information ◽  
Choice Modelling ◽  
Work Stressors ◽  
Cross Sectional ◽  
Academic Medical Centre ◽  
Best Worst Scaling

IntroductionPhysician burnout has severe consequences on clinician well-being. Residents face numerous work-stressors that can contribute to burnout; however, given specialty variation in work-stress, it is difficult to identify systemic stressors and implement effective burnout interventions on an institutional level. Assessing resident preferences by specialty for common wellness interventions could also contribute to improved efficacy.MethodsThis cross-sectional study used best–worst scaling (BWS), a type of discrete choice modelling, to explore how 267 residents across nine specialties (anaesthesiology, emergency medicine, internal medicine, neurology, obstetrics and gynaecology, pathology, psychiatry, radiology and surgery) prioritised 16 work-stressors and 4 wellness interventions at a large academic medical centre during the COVID-19 pandemic (December 2020).ResultsTop-ranked stressors were work-life integration and electronic health record documentation. Therapy (63%, selected as ‘would realistically consider intervention’) and coaching (58%) were the most preferred wellness supports in comparison to group-based peer support (20%) and individual peer support (22%). Pathology, psychiatry and OBGYN specialties were most willing to consider all intervention options, with emergency medicine and internal medicine specialties least willing to consider intervention options.ConclusionBWS can identify relative differences in surveyed stressors, allowing for the generation of specialty-specific stressor rankings and preferences for specific wellness interventions that can be used to drive institution-wide changes to improve clinician wellness. BWS surveys are a potential methodology for clinician wellness programmes to gather specific information on preferences to determine best practices for resident wellness.

scholarly journals The Patient Teacher in General Practice Training: Perspectives of Residents

2018 ◽  
Vol 6 (4) ◽  
pp. 287-295 ◽  
Author(s):  
Marie José Aires ◽  
Rémi Gagnayre ◽  
Olivia Gross ◽  
Cam-Anh Khau ◽  
Sophie Haghighi ◽  
...  
Keyword(s):  
General Practice ◽  
Medical Training ◽  
Teacher Characteristics ◽  
Teacher Participation ◽  
Patient Specific ◽  
First Year ◽  
Patient Centered ◽  
Agreement Rate ◽  
Specific Content ◽  
General Practice Training

Background: Patient teachers were involved in training general practice residents (GPRs) to strengthen the patient-centered approach. They teach a course on health democracy by themselves and teach in tandem with a physician teacher during reflective practice-based classes (named GEPRIs). We present the GPRs’ representations of patient teacher characteristics and capacities and their perception of how useful patient teachers are to their professional development. Methods: We administered a questionnaire based on a preliminary qualitative study to 124 GPRs. It explored (a) changes in the GPRs’ representations about patient teacher characteristics and capacities with regard to teaching over the first year of the experiment; (b) GPRs’ perception of patient teacher utility to their training and their contribution to developing patient perspective–related competencies. Results: The response rate was 89.5% (111/124). The majority of GPRs agreed with 17 (before) and 21 (after) of the 23 patient teacher characteristics and with 17 (before) and 19 (after) of the 20 capacities. The agreement rate increased, overall, after patient teacher participation. The GPRs found patient teacher useful to their training in 9 of 11 topics (agreement rate 65%-92%). They felt they had developed the 14 patient knowledge–related competencies (agreement rate 62%-93%), and 52% to 75% of the GPRs rated the patient teachers’ contribution to those competencies “high or very high,” depending on the competency. Conclusion: This study demonstrates the specific contribution of patient teachers to university-level medical training in France. The GPRs recognized that patient teachers helped them develop competencies by providing patient-specific content.

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