MobiGuide: a personalized and patient-centric decision-support system and its evaluation in the atrial fibrillation and gestational diabetes domains

Peleg, Mor; Shaḥar, Yuval; Quaglini, Silvana; Fux, Adi; García-Sáez, Gema; Goldstein, Ayelet; Hernando, M. Elena; Klimov, Denis; Martínez-Sarriegui, Iñaki; Napolitano, Carlo; Parimbelli, Enea; Rigla, Mercedes; Sacchi, Lucia; Shalom, Erez; Soffer, Pnina

doi:10.1007/s11257-017-9190-5

Cited by 50 publications

(43 citation statements)

References 30 publications

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“…Analysis of the users' interaction with the MobiGuide system is reported elsewhere [13]. Some of the results that pertain only to the patients' satisfaction are also reported in that study.…”

Section: Methods For Assessing Patient and Care Provider Satisfactionmentioning

confidence: 88%

“…In another study [13], we have focused on the patient usability evaluation. In this paper, we described the evaluation of MobiGuide in terms of medical compliance, satisfaction, and change in the patients' quality of life.…”

Section: Summary and Discussionmentioning

confidence: 99%

“…We shall start by reviewing the architecture of the MobiGuide system, the implementation of that system as evaluated in this study, and the study populations. The methodology for the personalization of the therapy for each patient was evaluated in a different study [13].…”

Section: Methodsmentioning

confidence: 99%

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Assessment of a personalized and distributed patient guidance system

Peleg

Shaḥar

Quaglini

et al. 2017

International Journal of Medical Informatics

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Section: Methods For Assessing Patient and Care Provider Satisfactionmentioning

confidence: 88%

Section: Summary and Discussionmentioning

confidence: 99%

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Assessment of a personalized and distributed patient guidance system

Peleg

Shaḥar

Quaglini

et al. 2017

International Journal of Medical Informatics

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“…Therefore, coordination complexity of multiple guidelines, the medications taken and dynamic changes in patient health states, as well as maintaining patient-adherence to guidelines, are some of the main reasons why patient-centred care (PCC) 2 (which aims to personalise care and treatments to the specific needs and circumstances of each patient) is needed, especially, in the case of multimorbidity. Many existing CIG-based CDSSs can generate patient-tailored recommendations 31 , 37 – 45 and enhance the guideline adherence of patients over paper-based CPGs. 11 , 46 …”

Section: Introductionmentioning

confidence: 99%

“…These help caregivers to manage temporal interactions in guidelines and recommend safe care plans as a result. Lastly, some approaches 31 , 37 – 45 aim to enhance adherence of multimorbid patients to guidelines and maintain their care continuity to improve the quality of care through using CIGs.…”

Section: Introductionmentioning

confidence: 99%

The use of computer-interpretable clinical guidelines to manage care complexities of patients with multimorbid conditions: A review

2018

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Clinical practice guidelines (CPGs) document evidence-based information and recommendations on treatment and management of conditions. CPGs usually focus on management of a single condition; however, in many cases a patient will be at the centre of multiple health conditions (multimorbidity). Multiple CPGs need to be followed in parallel, each managing a separate condition, which often results in instructions that may interact with each other, such as conflicts in medication. Furthermore, the impetus to deliver customised care based on patient-specific information, results in the need to be able to offer guidelines in an integrated manner, identifying and managing their interactions. In recent years, CPGs have been formatted as computer-interpretable guidelines (CIGs). This enables developing CIG-driven clinical decision support systems (CDSSs), which allow the development of IT applications that contribute to the systematic and reliable management of multiple guidelines. This study focuses on understanding the use of CIG-based CDSSs, in order to manage care complexities of patients with multimorbidity. The literature between 2011 and 2017 is reviewed, which covers: (a) the challenges and barriers in the care of multimorbid patients, (b) the role of CIGs in CDSS augmented delivery of care, and (c) the approaches to alleviating care complexities of multimorbid patients. Generating integrated care plans, detecting and resolving adverse interactions between treatments and medications, dealing with temporal constraints in care steps, supporting patient-caregiver shared decision making and maintaining the continuity of care are some of the approaches that are enabled using a CIG-based CDSS.

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A Verified, Executable Formalism for Resilient and Pervasive Guideline-Based Decision Support for Patients

Fung

Sinderen

Jones

et al. 2020

Artificial Intelligence in Medicine

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We present an executable formalism for clinical practice guidelines, with the aim of providing pervasive and evidence-based decision support to patients. Unlike traditional formalisms that capture the control flow between tasks, we focus on data flow, with tasks modeled as processes that execute in parallel. By parallelizing and distributing guideline knowledge, each device that constitutes the patient's pervasive healthcare system can provide decision support independently, avoiding single points of failure. This distribution also enables dynamic system re-configurations, increasing its resilience against evolving requirements and changing communications environments.Our model recognizes four types of processes: Monitoring, Analysis, Decision and Effectuation. These processes were specified using (axiomatic) set theory and implemented as a set of libraries on top of Rosette, which supports execution of the formalism and verification of it using constraint solvers. The formalism was also tested by formalizing a complete clinical guideline for diabetes management, which yielded a Rosette program that was then tested on simulated patient data. The major point of clinical relevance is enhancing the quality and safety of decision support delivered to patients.

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MobiGuide: a personalized and patient-centric decision-support system and its evaluation in the atrial fibrillation and gestational diabetes domains

Cited by 50 publications

References 30 publications

Assessment of a personalized and distributed patient guidance system

Assessment of a personalized and distributed patient guidance system

The use of computer-interpretable clinical guidelines to manage care complexities of patients with multimorbid conditions: A review

A Verified, Executable Formalism for Resilient and Pervasive Guideline-Based Decision Support for Patients

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