From Doctor To Coder: A Whole New World? (PHPNW16)

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Talk given at PHP Northwest 2016 (1 hour slot - feedback at https://joind.in/talk/4c43e): Everyone who calls themselves a “coder” had to start out somewhere. For some of us, that start was in an entirely unrelated field. This talk will bring you along on a young doctor’s joyous journey from the wondrous world of medical academia into the terrifying territory of tech, and the interesting sights seen along the way. We'll reflect on the differences as well as similarities between the medical and technical worlds and the learning process when making the switch from another career to tech. We’ll also discuss practical insights in what makes learning in tech unique and what might make it better, and some “behind the scenes of tech” glimpses that left this newbie coder woefully wishing for blissful ignorance.

Tecnología

Medical Genetics
World Wide Web Source: Pew Research Center + Wikipedia
http://www.pewinternet.org/2014/03/11/world-wide-web-timeline/
Source: Genetics and Medicine Historical Network
https://genmedhist.eshg.org/

PhD students
Assistant professors
Associate professors
Full professors
Source: Dutch Network of Women Professors
(LNVH), “Monitor Women Professors 2015”

Source: Dutch Network of Women Professors
(LNVH), “Monitor Women Professors 2015”

projection
based on 0.8%
growth per year
50% threshold
30% threshold
Source: Dutch Network of Women Professors
(LNVH), “Monitor Women Professors 2015”

http://codepancake.com/
learn-code-online-ultimate-list/

Ifyourgovernmentplanstochange
itstimezoneboundaries
ordaylightsavingrules,
letthemailinglistknowwellinadvance.

“Nobody knows anything.
I deal with people in all walks of life,
some of whom should have some idea
of what they’re doing.
And they’re all clueless.
It’s astonishing that any bridges stay
up,or that planes don’t constantly
plummet from the sky.
It’s heartening, in a strange way.”
Peter York

From Doctor To Coder: A Whole New World? (PHPNW16)

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Surgeon General’s Perspectives Public Health Reports / January–February 2015 / Volume 130  3 FAMILY HEALTH HISTORY: USING THE PAST TO IMPROVE FUTURE HEALTH Boris D. Lushniak, MD, MPH, RADM, USPHS More than a decade after completion of the Human Genome Project,1 science has made substantial progress in the development of genomic tests for disease diagnosis, prognosis, risk prediction, prevention, and treatment. Yet, the simplest, most readily available, and most affordable genomic tool for disease prevention—the family health history—remains underused. For almost all diseases of public health significance, people with a family history of the disease have a higher risk of developing the disease than people without a family history. Even so, many people do not collect family health history information and share it with relatives2 or even with their health-care providers. The year 2014 marked the 10th anniversary of the Surgeon General’s Family Health History Initiative, launched in 2004 by former Surgeon General Dr. Richard Carmona.3 This initiative is a national cam- paign to help families learn more about their family health history. It provides a free Web-based tool, My Family Health Portrait, to help people collect, organize, and record their family health information. To highlight the importance of this initiative, Dr. Carmona and later Surgeons General have declared Thanksgiving as Family Health History Day. The collection of family health history information is part of routine healthcare interactions and can inform clinical decision making and preventive services. Family health history is a part of many screening and treatment guidelines and, in some cases, can make a big difference in the recommended age for screening. For example, the U.S. Preventive Services Task Force (USPSTF) strongly recommends cholesterol screening beginning at age 35 years for men, but recommends early cholesterol screening beginning at age 20 years for men and women who are at increased risk of cardiovascular disease.4 A family history of cardiovascular disease before 50 years of age in male relatives, or before 60 years of age in female relatives, is one of several factors that are used to define increased risk. Using these recommendations, about 16% of young adults should be screened earlier based solely on the estimated prevalence of family history of early cardiovascular disease among this age group.5 Likewise, the USPSTF recommends screening for osteoporosis for women aged 65 years or older, but earlier screening for women aged 50–64 years with certain risk factors that include parental history of fracture.6 Thus, a 55-year-old white woman whose parent has had a hip fracture should consider getting screened early because her 10-year risk for major osteoporotic fracture is at least as great as a 65-year-old white woman who has no additional risk factors. Several other USPSTF recommendat.

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Everyone who calls themselves a "coder" had to start somewhere. For some of us, that start was in an unrelated field. This talk brings you along on a young doctor's joyous journey from the wondrous world of medical academia into the terrifying territory of tech. We'll reflect on differences and similarities between the medical and technical worlds and the learning process after a career switch. We'll discuss practical insights in what makes tech learning unique and what might make it better, and "behind the scenes of tech" glimpses that left this newbie coder wishing for blissful ignorance.

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From Doctor To Coder: A Whole New World? (PHPNW16)

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32. Medical Genetics World Wide Web Source: Pew Research Center + Wikipedia http://www.pewinternet.org/2014/03/11/world-wide-web-timeline/ Source: Genetics and Medicine Historical Network https://genmedhist.eshg.org/

33. Medical Genetics World Wide Web Source: Pew Research Center + Wikipedia http://www.pewinternet.org/2014/03/11/world-wide-web-timeline/ Source: Genetics and Medicine Historical Network https://genmedhist.eshg.org/

34. Medical Genetics World Wide Web Source: Pew Research Center + Wikipedia http://www.pewinternet.org/2014/03/11/world-wide-web-timeline/ Source: Genetics and Medicine Historical Network https://genmedhist.eshg.org/

35. Medical Genetics World Wide Web Source: Pew Research Center + Wikipedia http://www.pewinternet.org/2014/03/11/world-wide-web-timeline/ Source: Genetics and Medicine Historical Network https://genmedhist.eshg.org/

36. Medical Genetics World Wide Web Source: Pew Research Center + Wikipedia http://www.pewinternet.org/2014/03/11/world-wide-web-timeline/ Source: Genetics and Medicine Historical Network https://genmedhist.eshg.org/

37. Medical Genetics World Wide Web Source: Pew Research Center + Wikipedia http://www.pewinternet.org/2014/03/11/world-wide-web-timeline/ Source: Genetics and Medicine Historical Network https://genmedhist.eshg.org/

38. Medical Genetics World Wide Web Source: Pew Research Center + Wikipedia http://www.pewinternet.org/2014/03/11/world-wide-web-timeline/ Source: Genetics and Medicine Historical Network https://genmedhist.eshg.org/

39. Medical Genetics World Wide Web Source: Pew Research Center + Wikipedia http://www.pewinternet.org/2014/03/11/world-wide-web-timeline/ Source: Genetics and Medicine Historical Network https://genmedhist.eshg.org/

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45. PhD students Assistant professors Associate professors Full professors Source: Dutch Network of Women Professors (LNVH), “Monitor Women Professors 2015”

46. Source: Dutch Network of Women Professors (LNVH), “Monitor Women Professors 2015”

47. projection based on 0.8% growth per year 50% threshold 30% threshold Source: Dutch Network of Women Professors (LNVH), “Monitor Women Professors 2015”

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57. http://codepancake.com/ learn-code-online-ultimate-list/

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61. Kolb’s Cycle of Experiential Learning

62. Kolb’s Cycle of Experiential Learning

63. Kolb’s Cycle of Experiential Learning

64. Kolb’s Cycle of Experiential Learning

65. Kolb’s Cycle of Experiential Learning

66. Kolb’s Cycle of Experiential Learning

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74. Ifyourgovernmentplanstochange itstimezoneboundaries ordaylightsavingrules, letthemailinglistknowwellinadvance.

75. Ifyourgovernmentplanstochange itstimezoneboundaries ordaylightsavingrules, letthemailinglistknowwellinadvance.

76.

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82. “Nobody knows anything. I deal with people in all walks of life, some of whom should have some idea of what they’re doing. And they’re all clueless. It’s astonishing that any bridges stay up,or that planes don’t constantly plummet from the sky. It’s heartening, in a strange way.” Peter York

From Doctor To Coder: A Whole New World? (PHPNW16)

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