====== AutoLit ====== AutoLit® is Nested Knowledge's platform for performing a review. On AutoLit, you can **[[:wiki:autolit:search|]]** for records, **[[:wiki:autolit:screening|Screen]] **out records that are not relevant to your research, and **[[:wiki:autolit:tagging|Tag]] **relevant qualitative data using tags. Additionally, other features include **[[:wiki:autolit:meta_analytical_extraction|Meta-Analytical Extraction ]]**to extract quantitative data, and **[[:wiki:autolit:manuscript|]]**to compile your evidence. For more information and a brief overview of the AutoLit tool, explore the pages below! When completing a review on AutoLit, you will automatically generate the interactive, data-driven visuals presented in **[[:wiki:synthesis|]].** ===== Getting Started ===== * See our **[[:wiki:autolit:admin:settings|]] **page to find a walk-through of the tasks to start a "Nest" (a Nested Knowledge term for an interactive, updatable review in AutoLit). * Want to try out the software in an already-existing project? See our **[[:wiki:start:demo|Demos]]**, which you can edit and practice in! ===== The AutoLit Workflow ===== By creating a review in AutoLit, you automatically create interactive, visual outputs on Synthesis. To see the connections between the AutoLit tasks and Synthesis outputs, see the figure below: {{ :undefined:wf.png?nolink& }} ===== Features ===== * **[[:wiki:autolit:search|Search:]] **Build a structured search using [[:wiki:autolit:search:exploration|]], run automatic and updatable [[:wiki:autolit:search:execute|searches]] on PubMed, and [[:wiki:autolit:search:manualaddition|import records]] from other search indices or external sources. * **[[:wiki:autolit:screening|Screen:]]**Configure your study's [[:wiki:autolit:screening#configure_screening|Exclusion Reasons]], and then include relevant studies and exclude irrelevant studies, using either single or [[:wiki:autolit:screening:dual|Dual Screening]]. * **[[:wiki:autolit:tagging|Tagging:]]**Build [[:wiki:autolit:tagging:configure|Hierarchies]] of concepts of interest from underlying studies, or save work by importing your Organization's [[:wiki:autolit:admin:settings:orgs:templates#tagging_hierarchy_templates|Template Hierarchies]]! Extraction will automatically create a **[[:wiki:synthesis:qualitative|]]**diagram of your work. **Optional:** * **[[:wiki:autolit:meta_analytical_extraction|Meta-Analytical Extraction:]]**Gather quantitative data from underlying studies (and, as necessary, perform [[:wiki:autolit:critical_appraisal|Critical Appraisal]] assessments) that automatically populates your **[[:wiki:synthesis:quantitative|]]**. * **Write:** Draft your public Abstract using our **[[:wiki:autolit:abstract|]]**, full write-ups using our **[[:wiki:autolit:manuscript|]]**. ===== Other Resources ===== Systematic reviews are complicated! Here are some further resources to help with your study design and nest building: * **[[:wiki:synthesis|Synthesis:]] **The process outlined above creates interactive data-visualizations in our Synthesis software. * **[[:wiki:autolit:utilities:artificialintelligence|Artificial Intelligence in NK:]]**Explore how our software speeds up the review process with our AI-enhanced tools every step of the way. * **[[:wiki:autolit:admin:settings:orgs|Organizations]]**give you capabilities like inviting all collaborators at once, overseeing projects, and providing and using [[:wiki:autolit:admin:settings:orgs|Organizational Templates]]. * **[[:wiki:autolit:utilities:inspector|]]**is your one-stop page in a nest to view, filter, and edit any study's content. * **[[:wiki:guide|Best Practices for Review:]]**If you need guidance on how to design, perform, or [[:wiki:guide:write|draft]] a systematic review, see our guidance documents! * **[[:wiki:support|Support:]]** Our [[wiki:support:askai|Ask AI ChatBot]] is a great first port of call for any questions surrounding how tot use the software. Please [[support@nested-knowledge.com|contact us]] if you need help with a technical issue, or have a [[https://nested-knowledge.nolt.io/|suggestion]] for an improvement to our workflow our outputs! * **Free Video Course on Systematic Review:** If you want to learn about Systematic Review from our course on **[[https://about.nested-knowledge.com/course-home-page/#|How to Review the Medical Literature]]**, sign up today!