Info hash | dae02888e2fb6484a7b471cb7977eb859aba4831 |
Last mirror activity | 4:43 ago |
Size | 1.20GB (1,203,451,655 bytes) |
Added | 2016-09-26 16:07:18 |
Views | 1762 |
Hits | 4278 |
ID | 3441 |
Type | multi |
Downloaded | 4489 time(s) |
Uploaded by | joecohen |
Folder | coursera-clinical-problem-solving |
Num files | 299 files [See full list] |
Mirrors | 13 complete, 0 downloading = 13 mirror(s) total [Log in to see full list] |
coursera-clinical-problem-solving (299 files)
assignments/assignment_1.html | 53.15kB |
assignments/assignment_1_files/204.js | 6.33kB |
assignments/assignment_1_files/400.js | 7.79kB |
assignments/assignment_1_files/abUtils.js | 2.32kB |
assignments/assignment_1_files/assessApi.js | 0.45kB |
assignments/assignment_1_files/catalogApi.js | 0.45kB |
assignments/assignment_1_files/course.css | 0.16kB |
assignments/assignment_1_files/flexjoinLastChanceModal.html.js | 3.42kB |
assignments/assignment_1_files/ga.js | 43.08kB |
assignments/assignment_1_files/government_id.jpg | 24.91kB |
assignments/assignment_1_files/header(1).js | 0.09kB |
assignments/assignment_1_files/header.html.js | 28.87kB |
assignments/assignment_1_files/header.js | 2.12kB |
assignments/assignment_1_files/hg.css | 30.19kB |
assignments/assignment_1_files/LearnerStoriesCollection.js | 0.52kB |
assignments/assignment_1_files/LearnerStoryModel.js | 0.18kB |
assignments/assignment_1_files/logo | 50.04kB |
assignments/assignment_1_files/MathJax.js | 50.41kB |
assignments/assignment_1_files/modernizr-custom.js | 9.35kB |
assignments/assignment_1_files/path.js | 0.23kB |
assignments/assignment_1_files/readme.js | 4.94kB |
assignments/assignment_1_files/require.v2-1-1.js | 22.78kB |
assignments/assignment_1_files/ribbon_stripes.png | 5.73kB |
assignments/assignment_1_files/routes.js | 1.09MB |
assignments/assignment_1_files/sidebar(1).js | 0.09kB |
assignments/assignment_1_files/sidebar.html.js | 9.23kB |
assignments/assignment_1_files/sidebar.js | 4.17kB |
assignments/assignment_1_files/signature_track.js | 5.07kB |
assignments/assignment_1_files/signatureTrackLastChanceModal.html.js | 4.41kB |
assignments/assignment_1_files/spark.main.css | 283.29kB |
assignments/assignment_1_files/university_logo | 5.31kB |
assignments/assignment_1_files/webcam_keyboard.jpg | 20.79kB |
assignments/assignment_2_1.html | 61.54kB |
assignments/assignment_2_1_files/204.js | 6.33kB |
assignments/assignment_2_1_files/400.js | 7.79kB |
assignments/assignment_2_1_files/abUtils.js | 2.32kB |
assignments/assignment_2_1_files/assessApi.js | 0.45kB |
assignments/assignment_2_1_files/catalogApi.js | 0.45kB |
assignments/assignment_2_1_files/course.css | 0.16kB |
assignments/assignment_2_1_files/flexjoinLastChanceModal.html.js | 3.42kB |
assignments/assignment_2_1_files/ga.js | 43.08kB |
assignments/assignment_2_1_files/government_id.jpg | 24.91kB |
assignments/assignment_2_1_files/header(1).js | 0.09kB |
assignments/assignment_2_1_files/header.html.js | 28.87kB |
assignments/assignment_2_1_files/header.js | 2.12kB |
assignments/assignment_2_1_files/hg.css | 30.19kB |
assignments/assignment_2_1_files/LearnerStoriesCollection.js | 0.52kB |
assignments/assignment_2_1_files/LearnerStoryModel.js | 0.18kB |
assignments/assignment_2_1_files/logo | 50.04kB |
Type: Course
Tags:
Bibtex:
Tags:
Bibtex:
@article{, title= {[Coursera] Clinical Problem Solving}, keywords= {}, journal= {}, author= {Catherine R. Lucey, MD (University of California San Francisco)}, year= {2015}, url= {}, license= {}, abstract= {Participants will learn how to move efficiently from patient signs and symptoms to a rational and prioritized set of diagnostic possibilities and will learn how to study and read to facilitate this process. Clinical problem solving or diagnostic reasoning is the skill that physicians use to understand a patient’s complaints and then to identify a short, prioritized list of possible diagnoses that could account for those complaints. This differential diagnosis then drives the choice of diagnostic tests and possible treatments. Despite striking advances in information technology, clinical problem solving has not yet been effectively replicated by computers, making it essential that clinicians work to develop expertise in this very important skill set. This course will examine the ways physicians think about clinical problem solving and will help participants develop competence in the building blocks of clinical problem solving. The professor will use cases to illustrate different reasoning strategies and will discuss how both correct and incorrect diagnoses result from these strategies. Participants will use sample clinical cases to practice what they have learned through the lectures. Finally, the professor will discuss strategies to help students and young physicians read textbooks and articles in a way that enhances their ability to use information in the clinical environment.}, superseded= {}, terms= {} }