Big Data, CEP and IoT : Redefining Healthcare Information Systems and AnalyticsTauseef Naquishbandi
Big Data is a term encompassing the use of techniques to capture, process, analyze and visualize potentially large datasets in a reasonable time frame not accessible to standard technologies.
It refers to the ability to crunch vast collections of information, analyze it instantly, and draw from it sometimes profoundly surprising conclusions
Big data solutions can help stakeholders personalize care, engage patients, reduce variability and costs, and improve quality of health delivery.
Big data analytics can also contribute to providing a rich context to shape many areas of health care like analysis of effects, side-effects of drugs, genome analysis etc.
Implementation of IoT in Healthcare DomainDiksha Prakash
This presentation talks about implementation of IoT in Healthcare domain. It contains introduction, analysis, future scope, challenges etc. on the same.
Big Data, CEP and IoT : Redefining Healthcare Information Systems and AnalyticsTauseef Naquishbandi
Big Data is a term encompassing the use of techniques to capture, process, analyze and visualize potentially large datasets in a reasonable time frame not accessible to standard technologies.
It refers to the ability to crunch vast collections of information, analyze it instantly, and draw from it sometimes profoundly surprising conclusions
Big data solutions can help stakeholders personalize care, engage patients, reduce variability and costs, and improve quality of health delivery.
Big data analytics can also contribute to providing a rich context to shape many areas of health care like analysis of effects, side-effects of drugs, genome analysis etc.
Implementation of IoT in Healthcare DomainDiksha Prakash
This presentation talks about implementation of IoT in Healthcare domain. It contains introduction, analysis, future scope, challenges etc. on the same.
Patents are a good information resource for obtaining IoT (Internet of Things) technology development status. Followings illustrate some examples of patents that provide current status of the IoT healthcare/medical devices technology development: smart health monitoring devices, smart haptic medical devices, patient movement monitoring devices, healthcare robots and medical kiosk.
Healthcare ecosystem is witnessing a huge transformation lately propelled by improved care and patient outcomes as the critical drivers, in addition mobile technology and IoT are leading the way for innovation in the healthcare industry, by integration sensor network such as Beacons, NFC, RFID etc.. that will play an important roles to improvise the quality of services in Intelligent Healthcare sectors .
The increased use of mobile technologies and smart devices in the area of health has caused great impact on the world. Health experts are increasingly taking advantage of the benefits these technologies bring, thus generating a significant improvement in health care in clinical settings and out of them. Likewise, countless ordinary users are being served from the advantages of the MHealth (Mobile Health) applications and E-Health (health care supported by ICT) to improve, help and assist their health.
Applications that have had a major refuge for these users, so intuitive environment. The Internet of things is increasingly
allowing to integrate devices capable of connecting to the Internet and provide information on the state of health of patients and provide information in real time to doctors who assist.
BigData in Health Care Systems with IOTFaimin Khan
Nowadays Big Data is playing very important role in Day-to-Day life from Social Network to Educaion,From Banking to Business then Why not in healthcare.
Mobile phones, sensors, patients, hospitals, researchers, providers and organizations are nowadays generating huge amounts of healthcare data. The real challenge in healthcare systems is how to find, collect, analyze and manage information to make people's lives healthier and easier
By contributing not only to understand new diseases and therapies but also to predict outcomes at earlier stages and make real-time decisions.
The next wave of the Internet will connect machines and devices together into functioning, intelligent systems. This "Internet of Things" (IoT) will change every industry, every job, and every home. How will it impact medicine? When?
This webinar will reveal how the Internet of Things is changing medicine today by examining real applications of advanced networking technology. The applications include from 911 dispatch, EMS transport, imaging, surgery, ICU interoperability, patient safety, hospital integration, and treatment. We will discuss critical needs: finding the right data, delivering high-fidelity waveforms, integrating large hospital systems, ensuring EMR accuracy, and guarding sensitive information.
The objective of project is to improve end-users’ Healthcare experience through its IoT-based Healthcare services and to support business incubation scheme with better
regulatory support
Global Internet of Things (IoT) Healthcare Market Forecast Report Charmi Dsouza
A latest addition to the DecisionDatabases.com repository is the addition of Global Internet of Things (IoT) Healthcare Market Outlook 2020. The report along with the industry analysis gives a detailed account of big manufacturers and producers of the industry.
A modern healthcare IoT platform with an intelligent medicine box along with sensors for health monitoring and diagnosis is proposed here. Health care services based on Internet of Things have great potential in medical field. In this paper, an intelligent home-based medicine box with wireless connectivity along with an android application (Health-IoT) that helps patients and doctors to be in a more close communication. The proposed platform has an intelligent medicine box that gives alerts for patients to take their medication at the right time. The box is wirelessly connected to internet to make timely updates about medicines which will be notified in the android application with in patient’s smartphone. The system automatically gives alarm so that the patient takes the right medicine at the right time. And if there are any vital signs noticed SMS alerts are given to the predefined guardian.
Trends in Sensors, Wearable Devices and IoTWalt Maclay
Today, it is all about being connected and staying connected. Low-cost sensors are revolutionizing medical, home health and wearable devices, as well as other internet of things gadgets. Walt Maclay explains how these smart devices are benefiting from the ongoing development of low-cost high-volume sensors. Whether it is temperature, pressure, vibration, acceleration, flow, sound or vision, it is all about sensors. They are critical to many advances and to the rapid innovation we are seeing today. In this video, Walt Maclay presents the latest trends and challenges he sees for sensors, wearable devices and IoT.
Patents are a good information resource for obtaining IoT (Internet of Things) technology development status. Followings illustrate some examples of patents that provide current status of the IoT healthcare/medical devices technology development: smart health monitoring devices, smart haptic medical devices, patient movement monitoring devices, healthcare robots and medical kiosk.
Healthcare ecosystem is witnessing a huge transformation lately propelled by improved care and patient outcomes as the critical drivers, in addition mobile technology and IoT are leading the way for innovation in the healthcare industry, by integration sensor network such as Beacons, NFC, RFID etc.. that will play an important roles to improvise the quality of services in Intelligent Healthcare sectors .
The increased use of mobile technologies and smart devices in the area of health has caused great impact on the world. Health experts are increasingly taking advantage of the benefits these technologies bring, thus generating a significant improvement in health care in clinical settings and out of them. Likewise, countless ordinary users are being served from the advantages of the MHealth (Mobile Health) applications and E-Health (health care supported by ICT) to improve, help and assist their health.
Applications that have had a major refuge for these users, so intuitive environment. The Internet of things is increasingly
allowing to integrate devices capable of connecting to the Internet and provide information on the state of health of patients and provide information in real time to doctors who assist.
BigData in Health Care Systems with IOTFaimin Khan
Nowadays Big Data is playing very important role in Day-to-Day life from Social Network to Educaion,From Banking to Business then Why not in healthcare.
Mobile phones, sensors, patients, hospitals, researchers, providers and organizations are nowadays generating huge amounts of healthcare data. The real challenge in healthcare systems is how to find, collect, analyze and manage information to make people's lives healthier and easier
By contributing not only to understand new diseases and therapies but also to predict outcomes at earlier stages and make real-time decisions.
The next wave of the Internet will connect machines and devices together into functioning, intelligent systems. This "Internet of Things" (IoT) will change every industry, every job, and every home. How will it impact medicine? When?
This webinar will reveal how the Internet of Things is changing medicine today by examining real applications of advanced networking technology. The applications include from 911 dispatch, EMS transport, imaging, surgery, ICU interoperability, patient safety, hospital integration, and treatment. We will discuss critical needs: finding the right data, delivering high-fidelity waveforms, integrating large hospital systems, ensuring EMR accuracy, and guarding sensitive information.
The objective of project is to improve end-users’ Healthcare experience through its IoT-based Healthcare services and to support business incubation scheme with better
regulatory support
Global Internet of Things (IoT) Healthcare Market Forecast Report Charmi Dsouza
A latest addition to the DecisionDatabases.com repository is the addition of Global Internet of Things (IoT) Healthcare Market Outlook 2020. The report along with the industry analysis gives a detailed account of big manufacturers and producers of the industry.
A modern healthcare IoT platform with an intelligent medicine box along with sensors for health monitoring and diagnosis is proposed here. Health care services based on Internet of Things have great potential in medical field. In this paper, an intelligent home-based medicine box with wireless connectivity along with an android application (Health-IoT) that helps patients and doctors to be in a more close communication. The proposed platform has an intelligent medicine box that gives alerts for patients to take their medication at the right time. The box is wirelessly connected to internet to make timely updates about medicines which will be notified in the android application with in patient’s smartphone. The system automatically gives alarm so that the patient takes the right medicine at the right time. And if there are any vital signs noticed SMS alerts are given to the predefined guardian.
Trends in Sensors, Wearable Devices and IoTWalt Maclay
Today, it is all about being connected and staying connected. Low-cost sensors are revolutionizing medical, home health and wearable devices, as well as other internet of things gadgets. Walt Maclay explains how these smart devices are benefiting from the ongoing development of low-cost high-volume sensors. Whether it is temperature, pressure, vibration, acceleration, flow, sound or vision, it is all about sensors. They are critical to many advances and to the rapid innovation we are seeing today. In this video, Walt Maclay presents the latest trends and challenges he sees for sensors, wearable devices and IoT.
Improving Efficiency and Outcomes in Healthcare using Internet of ThingsCitiusTech
With the adoption of cloud and big data technologies, healthcare organizations are in a position to begin experimenting with IoT. Ranging from home care to smart facilities, there are many ways in which provider organizations can benefit by using IoT in their patient care workflows. E.g., a mobile app with patient geo-fencing capabilities can help optimize physician rounds by dynamically routing the physician to the nearest patient
Payers can leverage insights generated by IoT infrastructure to improve population health, increase patient awareness and reduce healthcare costs. Payers can also design more effective reward and retention programs using IoT generated data.
As IoT is evolving, adoption is slow but steady, and investments are being made by both startups and industry leaders. Healthcare is among the top 5 industries investing in IoT.
This document discusses how IoT can be leveraged to drive efficiency in healthcare workflows and enhance clinical outcomes.
Patientory Blockchain Architecture Is Everything IntelligentPatientory
Patientory.com. Know how the Patientory Blockchain architecture provides the best solutions to healthcare risks.
Your Health, at your fingertips. Visit Now Patientory.com.
The term Internet of Things (Often abbreviated IOT) was coined more than ten years ago by industry researchers but has emerged into mainstream public view only more recently. Some claim the Internet of Things will completely transform how computer networks are used for the next 10 or 100 years, while others believe Internet Of Things is hype that won't much impact the daily lives of most people.
The need for interoperability in blockchain-based initiatives to facilitate c...Massimiliano Masi
Slides for the IEEE Blockchain Symposium in Glasgow, https://blockchain.ieee.org/standards/clinicaltrialseurope18, https://blockchain.ieee.org/standards/clinicaltrialseurope18/speakers
What the IoT should learn from the life sciencesBoris Adryan
What the Internet of Things should learn from the life sciences. About the utility of open data, ontologies and public repositories as routinely used in the academic life science, but rarely in the IoT.
This deck will provide an overview of the value of APIs in the health and wellness industry, exploring how the growth in health and wellness related apps (specifically wearables) is driving innovation in this industry and how APIs are further enabling market growth - within the Vitality program and in the industry overall. Access to data, interoperability, and security are key requirements and the discussion will look at how these factors are enabling and impacting the adoption of APIs in the wellness industry.
Watch the session on-demand here: https://wso2.com/library/summit-2020/emea/healthy-apis/
BlueButton and MyHealth at Connected Health 2015 in San DiegoMark Scrimshire
A presentation about MHealth, My Health and BlueButton and BlueButton on FHIR developments at CMS.
Presentation given on June 18th at Connected Health 2015 in San Diego.
We are publishing a draft of the technical standards of the Personal Health Records (PHR) component of the National Health Stack (NHS)!
As a refresher, these standards govern the consented sharing of health information between Health Information Providers (HIPs) - like hospitals, pathology labs, and clinics - and Health Information Users (HIUs) like pharmacies, medical consultants, doctors, and so on. The user’s consent to share their health data is issued via a new entity called a Health Data Consent Manager (HDCM).
The problem today is that the electronic health records listed in one app or ecosystem are not easily portable to other systems. There is no common standard that can be used to discover, share, and authenticate data between different networks or ecosystems. This means that the electronic medical records generated by users end up being confined to many different isolated silos, which can result in frustrating and complex experiences for patients wishing to manage data lying across different providers.
With the PHR system, a user is able to generate a longitudinal view of their health data across providers. The interoperability and security of the PHR architecture allows users to securely discover, share, and manage their health data in a safe, convenient, and universally acceptable manner. For instance, a user could use a HDCM to discover their account at one hospital or diagnostic lab, and then select certain electronic reports to share with a doctor from another hospital or clinic. The flow of data would be safe, and the user would have granular control over who can access their data and for how long. Here is a small demo of the PHR system in action.
The standards in the draft released today offers a high-level description of the architecture and flows that make this possible.
The Internet of Healthy Things (IoHT) for Healthcare Organizations WebinarTodd Winey
The Internet of Things will impact many industries and healthcare can benefit by the potential of IoT to deliver real time information to providers. However, IoT technologies applied to healthcare data require a thoughtful approach to managing data that is not present in other IoT applications. Nearly all IoT data in healthcare can be associated with a patient, and healthcare organizations looking to leverage the potential of IoT data should establish thoughtful data plans. This webinar provides an introduction to the state of IoT technologies in healthcare and provides an outline of things healthcare organizations must consider as they plan to integrate IoT technologies into their care processes. From patient generated data to remote medical device management IoT can extend the visibility of organizations far beyond the institutional walls to improve provider understanding of patient status, but managing IoT data will require many of the same expectations we have today for any PHI.
Despite what the news may make us believe, blockchain has a vast range of applications beyond cryptocurrencies. The technology is set to radically transform a large number of industries, from healthcare to law, to real estate, to banking.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
JMeter webinar - integration with InfluxDB and Grafana
Concept: Consumer Centric IoT Healthcare Exchange
1. 1
Consumer IoT Health Exchange
Aggregation & Access of Consumer IoT Data
Integration of Personal Bio Metrics into the Healthcare and Research Ecosystem
Jason de la Fuente & Jeff Korte
May 2015
2. 2
Current State Examples
• Actual Doctor Visit
– Shows Nurse a months worth of personal
health stats through mobile app connected
to smart scale…WHAT??
• Prescription Regime
– Treatment changes based on subjective,
infrequent and error prone feedback
• R&D
– Pockets of data that are difficult to access
– Donating personal data to science
• Imagine a world…
3. 3
The Objective
• Consumer IoT Health Exchange
– Aggregator of consumer healthcare IoT metrics
– Individual maintains control to “opt in” or “enable” access
– Subscriber accesses IoT Health Exchange for back end
integration/correlation
• Primary Care, EMR vendors (Epic/Cerner/McKesson), PBM, Insurance,
Jenny Craig, Universities, R&D, etc.
• Conceptually think of the real estate Multiple Listing
Service (MLS) system
– accumulates and disseminates information…and is a facility for the orderly correlation
and dissemination of listing information to better serve broker's clients, customers
and the public.
4. 4
The Value
• Individuals take control of their consumer IoT healthcare
metrics and history, enabling their data to be an active part of
their personal healthcare experience.
• Commercial Subscribers have access to larger data sets to
make more informed decisions
– Primary Care, EMR vendors (Epic/Cerner/McKesson), PBMs, Insurance Providers, Jenny
Craig, etc..
• R&D Subscribers able to gain new analytical insights through
massive population data sets and decentralized scale
5. 5
PoC Approach
• Leverage the simplicity of existing APIs, Languages and
Formats
• Create IoT Health Exchange back-end data store
• Extract FitBit data via API to populate IoT Health
Exchange
• Query IoT Health Exchange data store to mimic
Subscriber access
• Publish IoT Health Exchange data to Blockchain.info
• Query Blockchain.info to mimic R&D access
6. 6
Potential Technology by Function
API Language/Libraries
• Python
• Ruby
• PHP
• .Net
Authentication Layer
• Oauth
Data Inter-Change Format
• JSON
Primary IoT-HE Data Store
• MongoDB
Secondary IoT-HE Data Store
• Blockchain.info
Web/REST
• NGINX
• APIs
Apigee
• API Management Framework
7. 7
Conceptual Data Flow
IoT Health
Exchange
Primary Care,
EMR, PBM,
Insurance, R&D
IoT Data
Silo
End User
Device
IoT-HE GET
Upload
Subscriber GET
IoT
Decentralized
Data Store
IoT-HE POST
Device POST OR
Subscriber GET
Subscriber normalization
based on use case
8. 8
IoT Health Exchange
MongoDB
Conceptual Tech
Primary Care,
EMR, PBM,
Insurance, R&D
IoT Data
Silo
End User
Device
IoT-HE GET
Upload
Subscriber
GET
Blockchain.info
IoT-HE POST
Device POST OR
API
Ingest/Sub NGINX
Nodes
API
API
Subscriber normalization
based on use case
Subscriber
GET
API
9. 9
Preliminary Concept Validation
• Created consumer IoT device account
• Downloaded Ruby
• Installed consumer IoT device and Oauth gems
• Leveraged Apigee to model auth and GET data extract from
consumer IoT data silo
• Sent Blockchain transaction with bio metric content embedded
in Blockchain.info public notes feature
• Installed Blockchain.info gem and cacert.pem for SSL error
• Queried Blockchain transaction via Blockchain.info API