Leveraging Key Aspects of Collaborative Techniques to Assist Clinical Decisions

2017 ◽  
pp. 59-75
Author(s):  
Hoda Moghimi ◽  
Jonathan L. Schaffer ◽  
Nilmini Wickramasinghe
Keyword(s):  
Decision Making ◽  
Information Technologies ◽  
Clinical Decision Making ◽  
Research Question ◽  
Clinical Decision ◽  
Detection Model ◽  
Important Approach ◽  
Hip And Knee Arthroplasty ◽  
Expected Benefits ◽  
Key Aspects

Employing collaborative systems in healthcare contexts is an important approach towards designing and developing intelligent computer solutions. The objective of this study is to develop a real-time collaborative system using the Intelligent Risk Detection Model (IRD) to improve decision efficiency for the care of patients undergoing hip and knee arthroplasty (THA, TKA). Expected benefits include increasing awareness, supporting communication, improving decision making processes and also improving information sharing between surgeons, patients, families and consultants as key collaborative parties. The research question under investigation is: How can key information technologies be designed, developed and adopted to support clinical decision making in the context of THA and TKA? This research in progress has identified the value and benefit of developing a systematic and technology supported tool to facilitate the identification of various risks associated with THA and TKA.

Leveraging Key Aspects of Collaborative Techniques to Assist Clinical Decisions

2017 ◽  
pp. 440-456
Author(s):  
Hoda Moghimi ◽  
Jonathan L. Schaffer ◽  
Nilmini Wickramasinghe
Keyword(s):  
Decision Making ◽  
Information Technologies ◽  
Clinical Decision Making ◽  
Research Question ◽  
Clinical Decision ◽  
Detection Model ◽  
Important Approach ◽  
Hip And Knee Arthroplasty ◽  
Expected Benefits ◽  
Key Aspects

Employing collaborative systems in healthcare contexts is an important approach towards designing and developing intelligent computer solutions. The objective of this study is to develop a real-time collaborative system using the Intelligent Risk Detection Model (IRD) to improve decision efficiency for the care of patients undergoing hip and knee arthroplasty (THA, TKA). Expected benefits include increasing awareness, supporting communication, improving decision making processes and also improving information sharing between surgeons, patients, families and consultants as key collaborative parties. The research question under investigation is: How can key information technologies be designed, developed and adopted to support clinical decision making in the context of THA and TKA? This research in progress has identified the value and benefit of developing a systematic and technology supported tool to facilitate the identification of various risks associated with THA and TKA.

scholarly journals The PICO strategy for the research question construction and evidence search

2007 ◽  
Vol 15 (3) ◽  
pp. 508-511 ◽  
Author(s):  
Cristina Mamédio da Costa Santos ◽  
Cibele Andrucioli de Mattos Pimenta ◽  
Moacyr Roberto Cuce Nobre
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Evidence Based Practice ◽  
Scientific Evidence ◽  
Research Question ◽  
Clinical Decision ◽  
Evidence Based ◽  
Review Of The Literature

Evidence based practice is the use of the best scientific evidence to support the clinical decision making. The identification of the best evidence requires the construction of an appropriate research question and review of the literature. This article describes the use of the PICO strategy for the construction of the research question and bibliographical search.

Using Intelligent Tools to Support Clinical Decision Making

2021 ◽  
pp. 555-567
Author(s):  
Nilmini Wickramasinghe ◽  
Jonathan L Schaffer
Keyword(s):  
Decision Making ◽  
Clinical Case ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Care Pathways ◽  
Detection Model ◽  
Risk Detection ◽  
Intelligent Tools ◽  
Specific Care ◽  
Decision Efficiency

Intelligent tools and collaborative systems can be used in healthcare contexts to support clinical decision making. Such an approach is concerned with identifying the way in which information is gathered and decisions are made along specific care pathways. This study develops a real-time collaborative system using an intelligent risk detection model (IRD) to improve decision efficiency in the clinical case of patients undergoing hip or knee arthroplasty. The benefits of adopting this improved clinical decision-making solution include increasing awareness, supporting communication, improving the decision making process for patients and caregivers while also improving information sharing between surgeons as key collaborative parties in the research case. This in turn leads to higher levels of patient and clinical satisfaction and better clinical outcomes.

scholarly journals Telehealth and Physical Therapy Clinical Decision Making in a Patient with a Falcine Meningioma

2020 ◽  
Vol 12 (1) ◽  
pp. 63-68
Author(s):  
Ryan Boggs ◽  
Nicholas Frappa ◽  
Michael Ross ◽  
Michael Tall
Keyword(s):  
Decision Making ◽  
Physical Therapy ◽  
Information Technologies ◽  
Clinical Decision Making ◽  
Tumor Resection ◽  
Gamma Knife Radiosurgery ◽  
Residual Tumor ◽  
Clinical Decision ◽  
Healthcare Services ◽  
Falcine Meningioma

Telehealth utilizes information technologies and communication networks to deliver healthcare and education with lower costs and improved access, quality, and efficiency of healthcare services.  This report describes the application of telehealth for medical screening, clinical decision making, and medical referral in a physical therapy practice. The patient described was a 50-year old man who contacted his physical therapist via telephone for a chief complaint of worsening left sided numbness and tingling that began insidiously 2 days prior.  Further questioning revealed that the patient also complained of left ankle weakness, and slight unsteadiness with walking. He had not been feeling well and had been experiencing increasing bouts of unexplained fatigue over the previous two months that were now interfering with his work and recreational activities. The patient was evaluated by his physician the next day.  Magnetic resonance imaging of the brain revealed a large (4 cm) falcine meningioma in the right parietal region.  The patient was immediately referred to a neurosurgeon and underwent a craniotomy and tumor resection ten days later and subsequent gamma knife radiosurgery of the residual tumor bed two months after craniotomy and tumor resection.  Follow-up imaging one year later revealed no evidence of recurrence or residual tumor.  This patient case underscores the importance of recognizing signs and symptoms of serious disease, and how referral following telehealth via telephone can inform diagnosis.

Using Intelligent Tools to Support Clinical Decision Making

2020 ◽  
pp. 311-323
Author(s):  
Nilmini Wickramasinghe ◽  
Jonathan L Schaffer
Keyword(s):  
Decision Making ◽  
Clinical Case ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Care Pathways ◽  
Detection Model ◽  
Risk Detection ◽  
Intelligent Tools ◽  
Specific Care ◽  
Decision Efficiency

Intelligent tools and collaborative systems can be used in healthcare contexts to support clinical decision making. Such an approach is concerned with identifying the way in which information is gathered and decisions are made along specific care pathways. This study develops a real-time collaborative system using an intelligent risk detection model (IRD) to improve decision efficiency in the clinical case of patients undergoing hip or knee arthroplasty. The benefits of adopting this improved clinical decision-making solution include increasing awareness, supporting communication, improving the decision making process for patients and caregivers while also improving information sharing between surgeons as key collaborative parties in the research case. This in turn leads to higher levels of patient and clinical satisfaction and better clinical outcomes.

scholarly journals Influence of Endodontic Procedure on Postoperative Pain – Evidence from Systematic Reviews

2019 ◽  
Vol 23 (3) ◽  
pp. 121-125
Author(s):  
Jelena Krunić ◽  
Irena Mladenović ◽  
Aleksandra Žuža ◽  
Igor Radović ◽  
Nikola Stojanović
Keyword(s):  
Decision Making ◽  
Postoperative Pain ◽  
Systematic Reviews ◽  
Pain Control ◽  
Clinical Decision Making ◽  
Scientific Evidence ◽  
Research Question ◽  
Clinical Decision ◽  
Endodontic Treatment ◽  
Combined Data

Summary Pain control, during and after root canal treatment is one of the important issues in endodontic practice. Occurrence of pain after intervention often presents considerable distress to both patient and dentist. In many studies influence of different endodontic treatment factors on incidence of postoperative pain has been investigated. However, different and inconsistent results between studies and growth in number of published papers each year made professional updating and clinical-decision making challenging. Systematic reviews synthesized and combined data from relevant studies to find the answer to a research question providing the highest level of scientific evidence. Thus, their use may facilitate decision making in clinical practice. The aim of this article was to present results from systematic reviews about the influence of endodontic treatment on postoperative pain.

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