microsoft: a waking giant in healthcare analytics and big data
TRANSCRIPT
![Page 1: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/1.jpg)
© 2015 Health Catalystwww.healthcatalyst.com
April 2015Dale Sanders
Microsoft: A Waking Giant In Healthcare Analytics and Big Data
Creative Commons Copyright – Attribution Required
![Page 2: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/2.jpg)
2
“In today’s world, business moves at the speed of software.” -- Dale Sanders
Great people and great facilities are not enough anymore.
Software is the enabling or disabling factor to success in today’s business world.
Why should C-levels care about topics like this one?
![Page 3: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/3.jpg)
3
For ExampleThink about the impact that good and bad software is having on the speed of these critical business transformations in healthcare, alone
• Healthcare.gov
• Population Health Management
• Accountable Care & Value Based Reimbursement
• EHR interoperability
• Detailed cost accounting
• Patient engagement
• Analytics at the point of care that can help raise quality of care, lower cost of care, and speed translational research
![Page 4: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/4.jpg)
4
On a scale of 1-5, what is your overall perception of Microsoft as a company– its people, products, and culture? 307 respondents
1. Very negative – 3%
2. Negative – 10%
3. Neutral – 32%
4. Positive – 45%
5. Very positive – 11%
Poll Question
![Page 5: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/5.jpg)
Agenda• My up and down experiences with Microsoft
• Microsoft’s cultural and technological transformation
• Microsoft’s analytics options
• SQLServer, PDW, APS
• Microsoft Azure
• PowerX product line
• Data visualization and manipulation tools
5
![Page 6: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/6.jpg)
© 2015 Health Catalystwww.healthcatalyst.comProprietary and Confidential
My Life On Microsoft
6
![Page 7: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/7.jpg)
A few times, I wanted to poke my eye out
Thank you for the cartoon, Darren Merinuk
![Page 8: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/8.jpg)
© 2015 Health Catalystwww.healthcatalyst.comProprietary and Confidential
Analytic Roadmaps for Healthcare
![Page 9: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/9.jpg)
9*-- Sanders D, Protti, D, Electronic Healthcare, 11(2) 2012: e5-e6
![Page 10: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/10.jpg)
Poll QuestionAt what Level does your organization consistently and broadly operate in the Analytics Adoption Model? 248 respondents
0 – 14%
1-2 – 34%
3-4 – 33%
5-6 – 14%
7-8 – 5%
10
![Page 11: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/11.jpg)
“Closed Loop Analytics”“Presenting data in the workflow of decision making, such that the data optimizes the outcome of the decision.” (Sanders, HIMSS 2015 )
Physicians are 15x more likely to modify their decisions about patient orders and protocols if presented with data at the point of care, as opposed to presenting data in “offline” clinical quality improvement meetings. (Komomoto, BMJ, 2007)
11
![Page 12: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/12.jpg)
Embedded best practices, decision support & care team coordination that support the Triple Aim
EHR embedded popula-tion analytics tailored for personalized medicine at the point of care
EHRClinical Decision Support
EDWClinical Quality Analytics
Define clinical best practices & requirements for embed-ded decision support & care team coordination
Use aggregate views of clinical data for case mix & protocol optimization
Derive population-based health system models for predicting demand
5
8
11
6
9
12
i ii
Executive & Clinical Leadership
Create a cultural expectation for evidence based medicine and use of clinical pathways & standard protocols
10
Enterprise Clinical Teams
Act on process & outcome data using protocol-based practice standards Identify new cohorts & gauge practice variations
Clinical, EHR & Analytical Teams
Generate comparative & outcomes data, implement order sets, protocols and decision support rules. Develop & validate clinical models 4
7
Start Here
‘Closing the Loops’ on Clinical Outcomes to Optimize QualityUsing an Electronic Health Record, Enterprise Data Warehouse & Clinical Analytics to Generate Local Evidence
Information SystemsSupporting DataDecisions & Actions
© 2015 Contributing authors, listed alphabetically: Eggert C, Moselle K, Protti D, Sanders D.
Align practice informed by analytics
Tailor protocols using better data
Man
age
Serv
ices
Opti
mize
Cap
acity
Deliv
er C
are
Loop A: Patients
Loop B: Protocols
External Evidence Literature, Research
Other Data SourcesExternal, Financial
iv
Internal Evidence
Internal Evidence
EHR: Electronic Health RecordEDW: Enterprise Data WarehouseMTTI: Mean time to improvementSOPA: Span of providers affected
COptimize system on quality & cost
Loop C: Populations
Internal Evidence
iii
Confidential DraftMar 21, 2015
Previous Box 6: Assess data quality, cohorts & interventions linked to outcomes
Include socio-economic determinants of health in clinical care management best practices
CLINICAL QUALITY GOVERNANCESet improvement priorities 1
![Page 13: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/13.jpg)
“Closed Loop Analytics”Mean Time To Improvement and Span of Population Affected
Loop C: Populations● MTTI: Years, decades● SPA: Millions, several hundred thousand
● Analytic consumers: Board of Directors, executive leadership team, Strategic plans and policy
Loop B: Protocols● MTTI: Weeks, months● SPA: Subsets of patients– hundreds, thousands● Analytic consumers: Care improvement teams, clinical service lines
Loop A: Patients● MTTI: Minutes, hours● SPA: Individual patients● Analytic consumers: Physicians and patients at the point of care
13
![Page 14: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/14.jpg)
14
Big vs. Small DataThe ROI of data to Population Health
![Page 15: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/15.jpg)
15
Volume, Ability, ActThe volume of data far outpaces our ability to analyze and act on data… but we think otherwise
![Page 16: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/16.jpg)
16
Finding optimal data volume
![Page 17: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/17.jpg)
© 2015 Health Catalystwww.healthcatalyst.comProprietary and Confidential
Microsoft’s Cultural and Technological Transformation
17
![Page 18: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/18.jpg)
18
![Page 19: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/19.jpg)
The Innovator’s DilemmaMicrosoft has shown the repeated ability to overcome this…
![Page 20: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/20.jpg)
Sacrificing the Sacred Cows
![Page 21: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/21.jpg)
21
Microsoft Openness
• Over the last three years, the single largest contributor of code to Open Source• 20% of Azure infrastructure runs on Linux• .Net is now in the Open Source community• Tight integration with Hadoop through Hortonworks• Support for Dockers containers• Microsoft owns 310 Android patents• Supports Facebook’s Open Compute data center project• Third largest contributor to the Linux kernel
Steve Ballmer, 2001: “Linux is a cancer”
Satya Nadella, 2014: “Microsoft loves Linux”
![Page 22: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/22.jpg)
22
![Page 23: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/23.jpg)
© 2015 Health Catalystwww.healthcatalyst.comProprietary and Confidential
Microsoft’s Analytics Options In The New World
23
![Page 24: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/24.jpg)
The Transition Period• Too early to go all-in on Hadoop & NoSQL• Too late to go all-in on relational databases• You have to straddle both and this is where Microsoft’s products and
strategy excel
24
![Page 25: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/25.jpg)
Microsoft’s Analytics Product LinesLots of good, familiar patterns and integration across these products
PowerBIExcelPowerViewPowerMPowerQ&APowerQueryPowerPivot
The Future of Computing: Azure
Hybrid Architecture: Analytics Platform Services (APS)
Old Reliable on Steroids: Parallel Data Warehouse (PDW)
Old Reliable: SQLServer
25
![Page 26: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/26.jpg)
Price-Performance Numbers*• EMC Greenplum
• IBM PureData
• Microsoft PDW
• Oracle Exadata
• Teradata Data Warehouse Appliance
26
* -- Thank you, Value Prism Consulting, Oct 2013
![Page 27: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/27.jpg)
27
![Page 28: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/28.jpg)
28
![Page 29: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/29.jpg)
© 2015 Health Catalystwww.healthcatalyst.comProprietary and Confidential
Hybrid Architecture:Analytics Platform System (APS)
29
![Page 30: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/30.jpg)
Microsoft APS (Analytics Platform System)A brilliant hybrid architecture
![Page 31: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/31.jpg)
Polybase Bridges The Skills Gap
Thank you John Kreisa, Hortonworks
![Page 32: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/32.jpg)
HDInsight = Hortonworks in Microsoft APS
Thank you, James Serra
![Page 33: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/33.jpg)
Interactive Analytics Delivered To Any Device
• Native apps for iPad, iPhone, and Windows devices
• Receive alerts to important changesin your data
• Share and collaborate with colleagues and take immediate action
![Page 34: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/34.jpg)
© 2015 Health Catalystwww.healthcatalyst.comProprietary and Confidential
Azure: The Future of Computing
![Page 35: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/35.jpg)
What is Azure?
One of the key missing concepts in this definition is that Azure is a hybrid cloud, meaning you can bridge data and applications between on-premise and the Azure cloud.
As of April 11, 2015, there are 3,019 applications in the Azure Marketplace. These are overwhelmingly business-level apps, not consumer apps as we are accustomed to in the Apple and Google app stores.
![Page 36: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/36.jpg)
![Page 37: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/37.jpg)
Azure is Big and Mature
![Page 38: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/38.jpg)
Huge Azure Infrastructure
100+ datacentersOne of the top 3 networks in the world (coverage, speed, connections) 2x AWS and 6x Google number of offered regions
Operational Announced
Central USIowa
West USCalifornia
North EuropeIreland
East USVirginia
East US 2Virginia
US GovVirginia
North Central US
Illinois
US GovIowa
South Central US
Texas
Brazil South
Sao Paulo
West EuropeNetherlands
China NorthBeijing
China SouthShanghai
Japan East
Saitama
Japan WestOsaka
India West
India East
East AsiaHong Kong
SE AsiaSingapore
Australia West
Melbourne
Australia East
Sydney
38
![Page 39: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/39.jpg)
![Page 40: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/40.jpg)
![Page 41: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/41.jpg)
![Page 42: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/42.jpg)
![Page 43: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/43.jpg)
![Page 44: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/44.jpg)
44
![Page 45: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/45.jpg)
Azure Security, Privacy, Compliance
45
• ISO 27001/27002 Audit and Certification
• SOC 1/SSAE 16/ISAE 3402 and SOC 2 Attestations
• Cloud Security Alliance (CSA) Cloud Controls Matrix (CCM)
• Federal Risk and Authorization Management Program (FedRAMP)
• Federal Information Security Management Act (FISMA)
• Federal Bureau of Investigation (FBI) Criminal Justice Information Services (CJIS)
• Payment Card Industry (PCI) Data Security Standards (DSS) Level 1
• United Kingdom G-Cloud OFFICIAL Accreditation
• Australian Government Information Security Registered Assessors Program (IRAP)
• Multi-Tier Cloud Security Standard for Singapore (MTCS SS 584:2013)
• HIPAA Business Associate Agreement (BAA)
• EU Model Clauses
• Food and Drug Administration 21 CFR Part 11
• Family Educational Rights and Privacy Act (FERPA)
• Federal Information Processing Standard (FIPS)
• Trusted Cloud Service Certification developed by China Cloud Computing Promotion and Policy Forum (CCCPPF)
• Multi-Level Protection Scheme (MLPS)
![Page 46: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/46.jpg)
46
The Visualization and Analysis LayerPart desktop, part cloud, part mobile
![Page 47: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/47.jpg)
Natural Language Queries
![Page 48: Microsoft: A Waking Giant In Healthcare Analytics and Big Data](https://reader036.vdocument.in/reader036/viewer/2022062901/58f9b2e6760da3da068bd089/html5/thumbnails/48.jpg)
Closing Thoughts• Business moves at the speed of software
• Older C-levels don’t generally grasp this… I’m old so I can say that
• I don’t impress easily when it comes to IT vendors, especially Microsoft
• History will show that the new Microsoft is one of the biggest cultural and technological re-toolings of all time
• Their hybrid “data lake” analytics and big data vision and execution are unmatched
• Azure is the future of computing• It’s going to completely disrupt organizational IT strategies and
the role of the CIO, in a good way