ACA – Accountable Care Act
Reading material from Coursera class
Week 6 – The ACA and access to health care (continued)
- Kaiser Foundation (2011). “Summary of New Health Reform Law.” http://www.kff.org/healthreform/upload/8061.pdf.
- Department of Health and Human Services (2012). “What’s Changing and When.” http://www.healthcare.gov/law/timeline/. Browse.
- Kaiser Foundation (2010). “Explaining Health Care Reform: Questions About Health Insurance Subsidies.” http://www.kff.org/healthreform/upload/7962-02.pdf.
- [Optional] Use the Massachusetts Health Connector to “buy” insurance. https://www.mahealthconnector.org/portal/site/connector/ . (Use zip code 02138 and choose the plan you think would be best for you. When you get to the message that “Enrollment is closed”, click “Browse Now” under the heading “Just window shopping?” Note the monthly cost and what is covered, deductible, copay amount, etc. )
Week 6 – The ACA and cost control
See next week’s readings. Can start on them now.
Week 7 – The ACA and cost control (continued)
- P. Orszag and E. Emanuel (2010). “Health Care Reform and Cost Control.” http://www.nejm.org/doi/full/10.1056/NEJMp1006571. In the New England Journal of Medicine 363; 7.
- CBO (2009). “An Analysis of Health Insurance Premiums Under the Patient Protection and Affordable Care Act.” Download the full text in PDF format athttp://www.cbo.gov/ftpdocs/107xx/doc10781/11-30-Premiums.pdf.
- J. Gruber (2009). “The House Proposal Lowers Non-Group Premiums.” http://www.healthpolicyproject.org/Publications_files/Business/2010/GruberHousenongroup11-2-1.pdf.
- J. Gruber (2011). “The Impacts of the Affordable Care Act: How Reasonable Are the Projections?” NBER Working Paper #17168. http://economics.mit.edu/files/6829. Read pages 13-20, focusing on content rather than technical details.
- [Optional] Centers for Medicare and Medicaid Services (2012). “The Affordable Care Act: Lowering Medicare Costs by Improving Care.” http://www.cms.gov/apps/files/ACA-savings-report-2012.pdf.
- [Optional] S. Harrington (2009). “The Health Insurance Reform Debate.” https://hcmg.wharton.upenn.edu/files/?whdmsaction=public:main.file&fileID=1594. Read for a dissenting view on the cost impacts of the ACA.
Week 8 – The ACA and health care delivery
- H. Komisar, J. Feder and P. Ginsburg for the Center for American Progress. “’Bundling’ Payment for Episodes of Hospital Care.”http://www.americanprogress.org/issues/2011/07/pdf/medicare_bundling.pdf. Read pages 1-10.
- J. Gruber (2011). “The Impacts of the Affordable Care Act: How Reasonable Are the Projections?” NBER Working Paper #17168. http://economics.mit.edu/files/6829. Read section II.B on pages 4-7.
- M. Merlis for AcademyHealth (2011). “The Affordable Care Act and Employer-Sponsored Insurance for Working Americans.”http://www.academyhealth.org/files/nhpc/2011/AH_2011AffordableCareReportFINAL3.pdf.
- [Optional] H. Aaron (2011). “The Independent Payment Advisory Board – Congress’s ‘Good Deed’.” In New England Journal of Medicine 364.http://www.nejm.org/doi/full/10.1056/NEJMp1105144. Read for pro-IPAB arguments.
- [Optional] Association of American Medical Colleges (2010). “Independent Payment Advisory Board IPAB (IPAB).”https://www.aamc.org/advocacy/medicare/153896/independentpaymentadvisoryboardipab.html. Read for arguments against IPAB.
Week 8 – The ACA and innovation
- McKinsey & Company (2011). “Cross-currents in the health economy.” Download the full report at the bottom of the page onhttp://healthreform.mckinsey.com/Insights/Latestthinking/Crosscurrentsinthehealtheconomy. Read pages 1-9.
- [Optional] J. Cacciotti and M. Mozeson for Oliver Wyman. “How ACA Could Transform the US Pharmaceutical Marketplace.”http://www.oliverwyman.com/media/ACAandthePharmaMarketplace.pdf.
Statistics and Probability Background
Stats: Probability Rules
“I like to use what’s called a joint probability distribution. (Since disjoint means nothing in common, joint is what they have in common — so the values that go on the inside portion of the table are the intersections or “and”s of each pair of events). “Marginal” is another word for totals — it’s called marginal because they appear in the margins.”
The UBC Calculus Online Homepage — short intro
probability density
n. Statistics In both senses also called probability distribution.
1. A function whose integral over a given interval gives the probability that the values of a random variable will fall within the interval.
2. The calculated value of a probability density.
John Sowa — mathamatical background
paskin.org — some useful presentations on probability and structured representation
<a href="http://en.wikipedia.org/wiki/Standard_score“>Standard (Z) Score
Linked Data Graph Orientated Frameworks
Glossary of Semantic Technology Terms
http://www.mkbergman.com/1017/glossary-of-semantic-technology-terms/
The Rationale for Semantic Technologies
http://www.mkbergman.com/1015/the-rationale-for-semantic-technologies/
Ontologies as Conceptual Models
http://www.cambridgesemantics.com/blog/-/blogs/ontologies-as-conceptual-models?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+EnterpriseSemantics+%28Enterprise+Semantics+Blog%29
The Rationale for Semantic Technologies
http://www.mkbergman.com/1015/the-rationale-for-semantic-technologies/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+AI3_AdaptiveInformation+%28AI3%3A%3A%3AAdaptive+Information%29
JSON-LD by Manu Sporny
https://www.youtube.com/watch?feature=player_embedded&v=vioCbTo3C-4#!
Semantic Web Intro by Manu Sporny
http://bit.ly/Kw6Asm
Linked Data Intro by Manu Sporny
http://www.youtube.com/watch?v=4x_xzT5eF5Q
Linked Data FAQ
http://structureddynamics.com/linked_data.html
Linked Data – Welcome to the Data Network (may behind a pay wall)
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6062547
Pregel
http://www.michaelnielsen.org/ddi/pregel/
Google Pregel Graph Processing
http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html
Pregel: a system for large-scale graph processing – “ABSTRACT”
http://delivery.acm.org/10.1145/1590000/1582723/p6-malewicz-2.pdf?ip=99.5.73.174&acc=ACTIVE%20SERVICE&CFID=61362319&CFTOKEN=25119961&__acm__=1326116961_4c5dbb95b82d3aaedcc9b134c8fd4318
Pregel a system for larescale graph processing slides
http://www.slideshare.net/shatteredNirvana/pregel-a-system-for-largescale-graph-processing
GoldenOrb
http://goldenorbos.org/
Signal/Collect
http://code.google.com/p/signal-collect/
Accountable Care Organization
Escaping the EHR Trap — The Future of Health IT
Kenneth D. Mandl, M.D., M.P.H., and Isaac S. Kohane, M.D., Ph.D.
N Engl J Med 2012; 366:2240-2242June 14, 2012
http://www.nejm.org/doi/full/10.1056/NEJMp1203102
THE COST CONUNDRUM
http://www.newyorker.com/reporting/2009/06/01/090601fa_fact_gawande
Atul Gawande Keynote | Health Data Forum III
http://www.youtube.com/watch?v=BAp_lieYydU&feature=player_embedded
CMS ACO Video on Final Rule
http://www.youtube.com/watch?v=FWQj-UJtMi0&feature=uploademail
Health Affairs Blog Most-Read List For October
http://healthaffairs.org/blog/2011/11/10/14814/http://healthaffairs.org/blog/2011/11/10/14814/
The Accountable Care Organization Final Rule
http://geekdoctor.blogspot.com/2011/11/accountable-care-organization-final.html
Medicare Program; Medicare Shared Savings Program: Accountable Care Organizations — Final Rule
http://mycourses.med.harvard.edu/ec_res/nt/307CCD4B-735E-48C9-A4DB-6BC34D08FE42/ACOfinal.pdf
Eligible Professionals
*Updated CMS Specification Sheets
Eligible Hospitals
*Updated CMS Specification Sheets
Machine Learning
Mahoot
http://mahout.apache.org/
Machine Learning and Hadoop by Josh Will
http://www.youtube.com/watch?v=5p06Xg5REj0&feature=youtube_gdata
Pycon 2012 ML and Python Talks
http://aimotion.blogspot.com/2012/03/some-data-and-machine-learning-talks.html
Some ML Packages in Python
- mloss.org — http://mloss.org/software/
- shogun toolbox — http://www.shogun-toolbox.org/
- nltk
- mlpy
- pyml
- pybrain
- mdp-toolkit
- scikit-learn — look at this — http://scikit-learn.org/stable/
- Numpy – array processing
- Scipy — algorithms built on top of numpy
- ml-class.org to tutorials
- mkjob (yelp) for hadoop
Bay Area Vision Meeting: Unsupervised Feature Learning and Deep Learning
http://www.youtube.com/watch?v=ZmNOAtZIgIk
The Future of Robotics and Artificial Intelligence (Andrew Ng, Stanford University, STAN 2011)
http://www.youtube.com/watch?v=AY4ajbu_G3k
a machine learning definition:
“A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.” — Mitchell, Tom M. (1997). Machine Learning, McGraw Hill. ISBN 0-07-042807-7, p.2.
ML Videos
http://videolectures.net/Top/Computer_Science/Machine_Learning/
Guide to Getting Started in Machine Learning
http://abeautifulwww.com/2009/10/11/guide-to-getting-started-in-machine-learning/
Stanford – Artificial Intelligence | Machine Learning
http://see.stanford.edu/see/lecturelist.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1
Welcome to the UC Irvine Machine Learning Repository!
http://archive.ics.uci.edu/ml/
MLOSS
http://www.mloss.org/software/
CRAN Task View: Machine Learning & Statistical Learning
http://cran.r-project.org/web/views/MachineLearning.html
MIT – 18.06 Linear Algebra
http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/index.htm
Languages
julia —
python
rust
NIPS NIPS
DeepMind and Demis Hassabis https://www.youtube.com/watch?v=4fjmnOQuqao
hyperloop video — https://youtu.be/_hHrMa4Jeps
stuff
‘An Axiomatic Basis for Computer Programming’ by C.A.R. Hoare.
https://www.youtube.com/watch?v=KDchFEpJV7ottps://www.youtube.com/watch?v=KDchFEpJV7o
Leading a Healthcare Company to the Big Data Promised Land: A Case Study of Hadoop in Healthcare http://www.infoq.com/presentations/hadoop-cigna
Nathan Marz on Storm, Immutability in the Lambda Architecture, Clojure http://www.infoq.com/interviews/marz-lambda-architecture
Homo Sapiens 2.0: Genetic Enhancement and the Future of Humanity
http://92yondemand.org/homo-sapiens-2-0-genetic-enhancement-future-humanity/#sthash.YuscIir9.dpuf
At-Google Talks: “Scrum” with Dr Jeff Sutherland | London, UK
https://www.youtube.com/watch?v=2L1oBLTICx4&feature=em-uploademail
Telling Technology Stories with IPython Notebook
https://www.youtube.com/watch?v=XkXXpaVpNSc
Guide for Technical Development
http://www.google.com/edu/tools-and-solutions/guide-for-technical-development/index.html
Enchanted Objects — Internet of Things
https://www.youtube.com/watch?v=aOCLDaUVCm0#t=538
Computational Neuroscience – An Introduction
http://www.33rdsquare.com/2012/05/computational-neuroscience-introduction.html
Building the world’s largest radio telescope | Maria Grazia Labate | https://www.youtube.com/watch?v=BrzjnQXjR4Q&list=PLkRTE4QUVRQOLCo-qleSwk72Dq-XAkdS-#t=297
Python 3 Metaprogramming
https://www.youtube.com/watch?v=sPiWg5jSoZI
Tesla Motors – The Future of Electric Cars [Full Documentary]
https://www.youtube.com/watch?v=i7J-tlrkVEE
MIT Aeronautics and Astronautics Department’s 2014 Centennial celebration
http://webcast.amps.ms.mit.edu/fall2014/AeroAstro/index-Fri-PM.html
Welcome to Deep Learning
http://deeplearning.net/
The Virtual Interview: Edward Snowden — OCTOBER 11, 2014
http://www.newyorker.com/new-yorker-festival/live-stream-edward-snowden?utm_source=tny&utm_medium=email&utm_campaign=dailyemail&mbid=nl_141013_Daily&CUST_ID=24261485&spMailingID=7198838&spUserID=MjYxOTc5Mjg3NzcS1&spJobID=541434286&spReportId=NTQxNDM0Mjg2S0
Deep Learning: Intelligence from Big Data
http://www.33rdsquare.com/2014/09/deep-learning-intelligence-from-big-data.html
The Future of Civilian Robotics http://www.brookings.edu/events/2014/09/15-future-civilian-robotics
Mikey Dickerson Velocity NY 2014 Keynote: “One Year After healthcare.gov…” https://www.youtube.com/watch?v=7Vc8sxhy2I4&feature=em-uploademail
The Singularity Is Near When Humans Transcend Biology By Ray Kurzweil https://www.youtube.com/watch?v=BJJRcD8Md3U
Talks at Google: David Rose, “Enchanted Objects”
https://www.youtube.com/watch?v=aOCLDaUVCm0&feature=em-uploademail
Lesie Lamport ACM 2014 A.M. Turing Award Winner
http://channel9.msdn.com/Series/Microsoft-Research-Luminaries/Leslie-Lamport-ACM-2014-A-M-Turing-Award-Winner
Entrepreneurship Through the Lens of Venture Capital: Jessica Livingston, Y Combinator
https://www.youtube.com/watch?v=syEVbr_2KXQ
Entrepreneurship Through the Lens of Venture Capital: Rob Freelan, Silicon Valley Bank https://www.youtube.com/watch?v=D7lPalSprt4&feature=em-uploademail
Ed Boyden on Singularity 1 on 1: Let’s Bring Engineers into Studying the Brainhttps://www.youtube.com/watch?v=teuKfeEkaKs
Y Combinator: “fund for the pivot”
http://infoproc.blogspot.com/2014/08/y-combinator-fund-for-pivot.html
Humans Need Not Apply https://www.youtube.com/watch?v=7Pq-S557XQU
A Conversation with Max Kuhn – The useR! 2014 Interview
http://datascience.la/a-conversation-with-max-kuhn-the-user-2014-interview/
A Conversation with Hadley Wickham – the useR! 2014 interview
http://www.r-bloggers.com/a-conversation-with-hadley-wickham-the-user-2014-interview/
Field Trip: Google Self-Driving Cars!
https://plus.google.com/u/0/hangouts/onair/watch?hid=hoaevent/cvpj74ostve3po9bs7vpt761apc&ytl=JbSmSp-fL1g&wpsrc=yta
Biodiversity Seminar
https://www.youtube.com/watch?v=laeowpY5WPE
Dr. Ivar Jacobson – The Essence of Software Engineering: the SEMAT Approach
https://www.youtube.com/watch?v=WNlERrVxYjs&feature=em-uploademail
Is Bitcoin the Future of Money? – SXSW Interactive 2014 (Full Session)
https://www.youtube.com/watch?v=HD-ahgTkGvs
Bitcoin: The Future of Currency?
https://www.youtube.com/watch?v=wJHk7QzSqn4
What Is Fracking? This Simple Animation Is The Best Explanation We’ve Ever Seen
http://www.businessinsider.com/marathon-oil-animation-on-hydraulic-fracking-2014-7?op=1#ixzz38BINBpcU
New Developments in Valve Technology
https://www.youtube.com/watch?v=SHCWq0wzPsw&feature=em-uploademail
Towards Ubiquitous OWL Computing: Simplifying Programmatic Authoring of and Querying with OWL Axioms
https://www.youtube.com/watch?v=K0SlYwMyn-A&feature=em-uploademail
Can We Create A Science of Consciousness?
http://www.33rdsquare.com/2014/07/can-we-create-science-of-consciousness.html
Getting Started with Glass
http://www.infoq.com/presentations/google-glass
Understanding and Using Regular Expressions
http://www.infoq.com/presentations/regex?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global&utm_reader=feedly
NASA’s Updated Warp Drive Space Craft Concept Looks Like Science Fiction Brought to Life
Read more: http://www.33rdsquare.com/2014/06/nasas-updated-warp-drive-space-craft.html#ixzz34MLTnuS3
Follow us: @33rdsquare on Twitter | 33rdsquare on Facebook
http://www.33rdsquare.com/2014/06/nasas-updated-warp-drive-space-craft.html
Jonathan Bush, Where Does It Hurt? | Talks at Google
https://www.youtube.com/watch?v=wu9R9UbccAQ&feature=em-uploademail
SpaceX Dragon V2 can seat up to seven passengers, use thrusters to land on solid ground
http://www.engadget.com/2014/05/29/space-x-dragon-v2/
The Illicit World Of ‘Dark Wallet’
http://onpoint.wbur.org/2014/05/06/bitcoin-dark-money-dark-wallet
Asia-Pacific Security: A Changing Role for the United States
http://www.chathamhouse.org/publications/papers/view/199098
Home-Ownership And The Stalled Economy
http://onpoint.wbur.org/2014/04/28/home-sales-housing-market-real-estate
The Mega Costs Of Miracle Drugs
http://onpoint.wbur.org/2014/04/25/sovaldi-pharmaceutical-miracle-drugs
cms
http://cms.gov/eHealth/
The discovery that could rewrite physics
http://www.ted.com/talks/allan_adams_the_discovery_that_could_rewrite_physics?utm_source=newsletter_weekly_2014-04-05&utm_campaign=newsletter_weekly&utm_medium=email&utm_content=talk_of_the_week_image
R, Machine Learning
Peter Diamandis on Exponential Innovation
http://www.33rdsquare.com/2014/03/peter-diamandis-on-exponential.html
The new bionics that let us run, climb and dance
http://www.ted.com/talks/hugh_herr_the_new_bionics_that_let_us_run_climb_and_dance?utm_source=newsletter_weekly_2014-03-29&utm_campaign=newsletter_weekly&utm_medium=email&utm_content=talk_of_the_week_button
Complex Systems May be More Controllable Than They Appear
Read more: http://www.33rdsquare.com/2014/03/complex-systems-may-be-more.html#ixzz2x7FBedN7
An R “meta” book
http://blog.revolutionanalytics.com/2014/03/an-r-meta-book.html
7.31.13 Machine Learning: Hottest Tech Trend in the Next 3-5 eashttps://www.youtube.com/watch?v=b4zr9Zx5WiE
Geoff Hinton – Recent Developments in Deep Learning
https://www.youtube.com/watch?v=vShMxxqtDDs
Deploying Machine Learning and Data Science at Scale
http://www.infoq.com/presentations/data-science-scale
Julia is a high-level, high-performance dynamic programming language
http://julialang.org/
Medical Terms
Douglas Melton: Is Biomedical Research Really Close to Curing Anything?
http://www.youtube.com/attribution_link?a=hHf3hNqEBpS4dgmltaOIxQ&u=/watch?v%3DY95hT-koAC8%26feature%3Dshare%26list%3DPL5uULy4b0kV7TrpD6UU1t9dsxD_kHjkyV
BabyX at TEDxAuckland 2013
https://www.youtube.com/watch?feature=player_embedded&v=eXrRdX8kVWw
Singularity
Clarence Tan Talks About Singularity University
http://www.33rdsquare.com/2013/07/clarence-tan-talks-about-singularity.html#ixzz2aY5If4zn
Jonathan White The Future’s So Bright Gotta Wear Shades! Tech&
https://www.youtube.com/watch?feature=player_embedded&v=I5RrqgCdqf0
Free Classes
Introduction to Data Science
https://class.coursera.org/datasci-001/class/index
MIT OpenCourseWare, Massachusetts Institute of Technology
http://ocw.mit.edu/index.htm
Coursera
https://www.coursera.org/
Udacity Learn. Think. Do.
https://www.udacity.com/?gclid=CODj566s07gCFVCf4AodI3sAfw
Semantic Web
A Semantic Web for End Users
http://videolectures.net/eswc2013_karger_semantic/
NLP
Discourses in Language Processing
http://www.bengfort.com/presentations/discourses-in-language-processing/
Scrum, Patterns
Agile People – Interview with James Coplien.mp4
http://scrumology.wistia.com/medias/rvf5po3qfb
Scrum Guides
http://www.scrum.org/Scrum-Guides
James O. Coplien – Pattern Foundations
http://www.podcast-directory.co.uk/episodes/james-o-coplien-pattern-foundations-13992827.html
Clojure
Expert to Expert: Rich Hickey and Brian Beckman – Inside Clojure
http://www.youtube.com/watch?v=wASCH_gPnDw
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