Automatic generation of clinical algorithms within the state-decision-action model

Bohada, John A.; Riaño, David; López-Vallverdú, Joan Albert

doi:10.1016/j.eswa.2012.02.196

Cited by 9 publications

(2 citation statements)

References 22 publications

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“…To personalise care, each patients’ health conditions and their social context were considered. State-decision-action (SDA)-based 128 , 135 formalism was adopted which represent CPGs as diagrams with a set of variables to determine the health condition of a patient; to choose a clinical or administrative task among a set clinical or management options, to represent the clinical or administrative tasks. As the part of the K4Care project, Riaño et al.…”

Section: Approaches To Managing Multimorbidity Care Using a Cig-basedmentioning

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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Section: Approaches To Managing Multimorbidity Care Using a Cig-basedmentioning

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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“…For example, one could look upon learning guidelines as learning a decision tree [34], and possibly integrate these models with additional medical background knowledge [35]. Another approach uses process mining techniques [36][37][38], where the idea is to extract process models from event logs [36,37].…”

Section: Related Workmentioning

confidence: 99%

Discovering Probabilistic Structures of Healthcare Processes

Hommersom

Verwer

Lucas

2013

Lecture Notes in Computer Science

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Abstract. Medical protocols and guidelines can be looked upon as concurrent programs, where the patients dynamically change over time. Methods based on verification and model-checking developed in the past have been shown to offer insight into their correctness by adopting a logical point of view. However, there is uncertainty involved both in the management of the disease and the way the disease will develop, and, therefore, a probabilistic view on medical protocols seems more appropriate. On the other hand, representations using Bayesian networks usually involve a single patient group and do not capture the dynamic nature of care. In this paper, we propose a new method inspired by automata learning to represent and identify patient groups for obtaining insight into the care that patients have received. We evaluate this approach using data obtained from general practitioners and identify significant differences in patients who were diagnosed with a transient ischemic attack (TIA). Finally, we discuss the implications of such a computational method for the analysis of medical protocols.

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Rule-Based Combination of Comorbid Treatments for Chronic Diseases Applied to Hypertension, Diabetes Mellitus and Heart Failure

López-Vallverdú

Riaño

Collado³

2013

Lecture Notes in Computer Science

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Automatic generation of clinical algorithms within the state-decision-action model

Cited by 9 publications

References 22 publications

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

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

Discovering Probabilistic Structures of Healthcare Processes

Rule-Based Combination of Comorbid Treatments for Chronic Diseases Applied to Hypertension, Diabetes Mellitus and Heart Failure

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