- Prediction|Augmented Shared Decision|Making and Lung Cancer ...🔍
- NetwmorAklOpen.🔍
- Shared Decision|Making Tool Promotes More Effective Use of Lung ...🔍
- Clinician Perceptions on Using Decision Tools to Support Prediction ...🔍
- Current challenges and future directions for shared decision making ...🔍
- Optimizing Lung Cancer Screening With Risk Prediction🔍
- Scalable Decision Support and Shared Decision Making for Lung ...🔍
- OA01.02 A Lung Cancer Surgical Mortality Risk|Prediction Algorithm ...🔍
Prediction|Augmented Shared Decision|Making and Lung Cancer ...
Prediction-Augmented Shared Decision-Making and Lung Cancer ...
A prediction-augmented shared decision-making tool that helps clinicians personalize the strength of their lung cancer screening (LCS) recommendations ...
Prediction-Augmented Shared Decision-Making and Lung Cancer ...
Implementing a robust approach to personalized LCS, which integrates SDM, and a decision support tool augmented by a prediction model, ...
NetwmorAklOpen. Original Investigation I Pulmonary Medicine. Prediction-Augmented Shared Decision-Making and Lung Cancer Screening Uptake.
Shared Decision-Making Tool Promotes More Effective Use of Lung ...
For that reason, the 2021 American College of Chest Physicians (CHEST) guideline has recommended using prediction to augment rather than replace ...
Prediction-Augmented Shared Decision-Making and Lung Cancer ...
Objective To assess the association between LCS uptake and implementing a prediction-augmented shared decision-making (SDM) tool, which enables ...
Clinician Perceptions on Using Decision Tools to Support Prediction ...
Considering a patient's full risk factor profile can promote personalized shared decision making (SDM). One way to accomplish this is through ...
Current challenges and future directions for shared decision making ...
Patients who participate in shared decision making about lung cancer screening have greater knowledge, lower decisional conflict, ...
Optimizing Lung Cancer Screening With Risk Prediction
These risk prediction models can be used to guide shared decision-making discussions before proceeding with lung cancer screening. This ...
Scalable Decision Support and Shared Decision Making for Lung ...
Researchers successfully developed Decision Precision+, a shared decision making tool that increases appropriate screening for lung cancer, ...
OA01.02 A Lung Cancer Surgical Mortality Risk-Prediction Algorithm ...
To date, no practical tools have been developed to assess potential suitability for surgical treatment at the time of screening shared decision-making. The ...
Clinician Perceptions on Using Decision Tools to Support Prediction ...
Considering a patient's full risk factor profile can promote personalized shared decision making (SDM). One way to accomplish this is through encounter ...
Optimizing Lung Cancer Screening With Risk-Prediction Models
Despite these challenges, the article posits that risk prediction models have utility in the clinical setting as tools for shared decision-making between the ...
Shared Decision-Making for Lung Cancer Screening: How Well Are ...
Lung cancer screening (LCS) reduces lung cancer mortality, but it also carries a range of risks. Shared decision-making (SDM) is a process of engaging ...
Lung Cancer Screening Decision Aid Designed for a Primary Care ...
The 2021 USPSTF guideline states that shared decision-making (SDM) is important when clinicians and patients discuss LCS. In addition to ...
Lung Cancer Screening Decision Tool : Disclaimer
MSKCC does not record specific prediction tool user information and does not contact users of the prediction tools. You are hereby advised to consult with a ...
Lung cancer screening shared decision-making app. - ResearchGate
25 Ultimately, identifying ways to feasibly implement prediction-based decision making is critical for preventive interventions such as LCS, where the clinical ...
Prediction of prognosis in lung cancer using machine learning with ...
This study developed machine learning algorithms that could accurately predict the prognosis in patients with stage IV lung cancer with high inter-institutional ...
Prediction of prognosis in lung cancer using machine learning with ...
This can enhance the accuracy of prognosis prediction and support informed and shared decision-making in clinical settings. Introduction. Lung ...
Lung cancer screening and shared decision making in cancer ...
They suggest that when discussing LCS with cancer survivors, SDM should “frame the benefits and harms of LCS in a way that reflects the prior cancer history and ...
Stakeholder Research Priorities to Promote Implementation of ...
Rationale: Shared decision-making (SDM) for lung cancer screening (LCS) is recommended in guidelines and required by Medicare, yet it is seldom achieved in ...