다운로드 Medicine Toolkit

다른 한편에서는 원활한 경험을하려면 파일을 장치에 다운로드 한 후 파일을 사용하는 방법을 알아야합니다. APK 파일은 Android 앱의 원시 파일이며 Android 패키지 키트를 의미합니다. 모바일 앱 배포 및 설치를 위해 Android 운영 체제에서 사용하는 패키지 파일 형식입니다.
네 가지 간단한 단계에서 사용 방법을 알려 드리겠습니다. Medicine Toolkit - Teaching Tools for Academic Physicians 귀하의 전화 번호.

1 단계 : 다운로드 Medicine Toolkit - Teaching Tools for Academic Physicians 귀하의 기기에서

아래의 다운로드 미러를 사용하여 지금 당장이 작업을 수행 할 수 있습니다. 그것의 99 % 보장 . 컴퓨터에서 파일을 다운로드하는 경우, 그것을 안드로이드 장치로 옮기십시오.  

2 단계 : 기기에 타사 앱 허용

설치하려면 Medicine Toolkit - Teaching Tools for Academic Physicians 타사 응용 프로그램이 현재 설치 소스로 활성화되어 있는지 확인해야합니다. 메뉴 > 설정 > 보안> 으로 이동하여 알 수없는 소스 를 선택하여 휴대 전화가 Google Play 스토어 이외의 소스에서 앱을 설치하도록 허용하십시오.

3 단계 : 파일 관리자로 이동

이제 위치를 찾으십시오 Medicine Toolkit - Teaching Tools for Academic Physicians 방금 다운로드 한 파일입니다.
일단 당신이 Medicine Toolkit - Teaching Tools for Academic Physicians 파일을 클릭하면 일반 설치 프로세스가 시작됩니다. 메시지가 나타나면 "예" 를 누르십시오. 그러나 화면의 모든 메시지를 읽으십시오.

4 단계 : 즐기십시오

Medicine Toolkit - Teaching Tools for Academic Physicians 이 (가) 귀하의 기기에 설치되었습니다. 즐겨!

개발자 설명

**** Rated as a Top Medical Education App! **** Medicine Toolkit is a medical education app developed and used at Harvard's top teaching hospitals. Bayes at the Bedside enables you to apply Bayesian reasoning to patient care in real-time with a database of over 175 likelihood ratios. Pocket Evidence provides summaries of over 440 teaching articles with PubMed links at your fingertips in the classroom, the clinic, or the wards. *************************************************************** Featured in the following publications: * The Hospitalist * Hospitalist News * Today's Hospitalist * ACP Hospitalist *************************************************************** OVERVIEW This app has been developed by healthcare professionals for healthcare professionals. It brings the latest in clinical reasoning and evidence based medicine to your fingertips in a format that's fun and easy to use! Medicine Toolkit currently consists of two teaching components, "Bayes at the Bedside" and "Pocket Evidence" (2 apps in 1!). BAYES AT THE BEDSIDE Use over 175 likelihood ratios to apply Bayesian reasoning to clinical care in real-time! A little rusty on biostats? Use our case-based statistics review to refresh your memory on applying Bayes to patient care, and then turn to our teaching tutorial to learn about common errors in diagnostic reasoning and how to use Bayes' theorem to turn clinical pitfalls into teaching opportunities! POCKET EVIDENCE Can't keep all of the heart failure trials straight? Ever wonder just how the CHADS2 score came to be? Or feel at a loss when a resident cites a recent article you haven't seen, or a medical student asks what they should read that night? With Pocket Evidence, have summaries of over 440 review articles, consensus guidelines, landmark papers, and new and notable articles covering 70 topics in internal medicine available at your fingertips. Email the PubMed links to yourself and your team in real-time, and take a closer look at the literature that shapes how we practice medicine today. HIGHLIGHTS * More than a compilation of data and articles, Medicine Toolkit provides a framework for understanding and teaching statistics, evidence based medicine, and clinical decision making * Both Bayes at the Bedside and Pocket Evidence contain a dynamic database regularly updated and expanded with input from you, our users, based on your experiences practicing and teaching medicine today * Make this app what you want it to be, and benefit from the insights and expertise of health care professionals and medical educators across the country * Covered by many professional reimbursement policies TESTIMONIALS "A must have for all clinicians, especially those involved with academic medicine." "Great app to have at the bedside, on rounds, or to catch up on the latest data/reviews/guidelines/management strategies." "This is a very needed app in the current state of healthcare. Provides evidence supported clinical decision support. It is really cheap if compared with the potential for excellent patient outcomes, decrease in cost from unnecessary testing, and as well for its incredible academic value."