Welcome!

Silverlight Authors: Steven Mandel, Gerardo A Dada, Srinivasan Sundara Rajan, Yeshim Deniz, Greg O'Connor

Blog Feed Post

MaaS applied to Healthcare – Use Case Practice

MaaS (Model as a Service) might allow building and controlling shared healthcare Cloud-ready data, affording agile data design, economies of scale and maintaining a trusted environment and scaling security. With MaaS, models map infrastructure and allow controlling persistent storage and deployment audit in order to certify th at data are coherent and remain linked to specific storage. As a consequence, models allow to check where data is deployed and stored. MaaS can play a crucial role in supplying services in healthcare: the model containing infrastructure properties includes information to classify the on-premise data Cloud service in terms of data security, coherence, outage, availability, geo-location and to secure an assisted service deployment and virtualization.

Introduction
Municipalities are opening new exchange information with healthcare institutes. The objective is sharing medical research, hospital acceptance by pathology, assistance and hospitalization with doctors, hospitals, clinics and, of course, patients. This open data [6] should improve patient care, prevention, prophylaxis and appropriate medical booking and scheduling by making information sharing more timely and efficient. From the data management point of view it means the service should assure data elasticity, multi-tenancy, scalability, security together with physical and logical architectures that represent the guidelines to design healthcare services.

Accordingly, healthcare services in the Cloud must primarily secure the following data properties [2]:
-      data location;
-      data persistence;
-      data discovery and navigation;
-      data inference;
-      confidentiality;
-      availability;
-      on-demand data secure deleting/shredding [4] [5] [11] [12].

These properties should be defined during the service design and data models play the “on-premise” integral role in defining, managing and protecting healthcare data in the Cloud. When creating healthcare data models, the service is created as well and properties for confidentiality, availability, authenticity, authorization, authentication and integrity [12] have to be defined inside: here is how MaaS provides preconfigured service properties.

Applying MaaS to Healthcare – Getting Practice
Applying MaaS to design and deploy healthcare services means explaining how apply the DaaS (Database as a Service, see [2] and [4]) lifecycle to realize faster and positive impacts on the go-live preparation with Cloud services. The Use Case introduces the practices how could be defined the healthcare service and then to translate them into the appropriate guidelines. Therefore, the DaaS lifecycle service practices we are applying are [4]:

Take into account, healthcare is a dynamic complex environment with many actors: patients, physicians, IT professionals, chemists, lab technicians, researchers, health operators…. The Use Case we are introducing tries to consider the whole system. It provides the main tasks along the DaaS lifecycle and so how the medical information might be managed and securely exchanged [12] among stakeholders for multiple entities such as hospital, clinics, pharmacy, labs and insurance companies.

The Use Case
Here is how MaaS might cover the Use Case and DaaS lifecycle best practices integrate the above properties and directions:

Objective To facilitate services to healthcare users and to improve exchange information experience among stakeholders. The Use Case aims to reduce costs of services by rapid data designing, updating, deployment and to provide data audit and control. To improve user experience with healthcare knowledge.
Description Current costs of data design, update and deployment are expensive and healthcare information (clinical, pharmaceutical, prevention, prophylaxis…) is not delivered fast enough based upon user experience;
Costs for hospitalization and treatments information should be predictable based upon user experience and interaction.
Actors Clinical and Research Centres;
Laboratories;
Healthcare Institute/Public Body  (Access Administrators);
Healthcare Institute/Public Body (Credentials, Roles Providers);
Patients;
IT Operations (Cloud Providers, Storage Providers, Clinical Application Providers).
Requirements Reducing costs and rapidly delivering relevant data to users, stakeholders and healthcare institutes;
Enabling decision making information to actors who regularly need access [11] [12] to healthcare services but lack the scale to exchange (and require) more dedicated services and support;
Fast supporting and updating healthcare data to users due to large reference base with many locations and disparate applications;
Ensuring compliance and governance directions are currently applied, revised and supervised;
Data security, confidentiality, availability, authenticity, authorization, authentication and integrity to be defined “on-premise”.
Pre-processing and post-processing Implementing and sharing data models;
Designing data model properties according to private, public and/or hybrid Cloud requirements;
Designing “on-premise” of the data storage model;
Modeling data to calculate “a priori” physical resources allocation;
Modeling data to predict usage “early” and to optimize database handling;
Outage is covered by versions and changes archived based on model partitioning;
Content discovery assists in identifying and auditing data to restore the service to previous versions and to irrecoverably destroying the data, if necessary, is asked by the regulations.
Included and extended use case Deployment is guided from model properties and architecture definition;
Mapping of data is defined and updated, checking whether the infrastructure provider has persistence and finding out whether outages are related to on-line tasks;
Deploying and sharing are guided from model properties and architecture definition.


Following, we apply MaaS’ properties (a subset) to the above healthcare Use Case. Per contra, Data Model properties (a subset) are applied along the DaaS lifecycle states:


MaaS Properties

DaaS Lifecycle States

Healthcare Data Model Properties
Data Location Create Data Model
Model Archive and Change
Deploy and Share
Data models contain partitioning properties and can include data location constraints. User tagging of data (a common Web 2.0 practice, through the use of clinic user-defined properties) should be managed. Support to compliant storage for preventative care data records should be provided
Data persistence Create Data Model
Model Archive & Change
Secure delete
For any partition, sub-model, or version of models, data model has to label and trace data location. Model defines a map specifying where data is stored (ambulatory care, clinical files have different storages). Providers persistence can be registered. Data discovery can update partition properties to identify where data is located
Data inference Create Data Model Data model has to support inference and special data aggregation: ambulatory might inference patient’s insurance file. All inferences and aggregations are defined, updated and tested into the model
Confidentiality Create Data Model
Populate, Use and Test
Data model guides rights assignment, access controls, rights management, and application data security starting from data model. As different tenants (hospitals, clinics, insurance companies and pharmacies) access the data, users and tenants should be defined inside the model. Logical and physical controls have to be set
High availability Deploy and Share
Model Archive and Change
Data model and partitioning configuration together with model changes and versions permits mastering of a recovery scheme and restoration when needed. Data inventory (classified by Surgery, Radiology, Cardiology, for example) vs discovery have to be traced and set.
Fast updates at low cost Create Data Model
Generate Schema/Update Data Model
Data reverse and forward engineering permits change management and version optimization in real-time directly on data deployed properties
Multi-database partitioning Create Data Model
Deploy and Share
Bi-directional partitioning in terms of deployment, storage, and evolution through model versioning has to be set. Multi-DBMS version management helps in sharing multi-partitioning deployments: for example, Insurance and Surgery by Patient, normally are partitioned and belong to different tenants vs different databases
Near-zero configuration and administration Create Data Model
Generate Schema/Update Data Model
Data models cover and contain all data properties including scripts, stored procedures, queries, partitions, changes and all configuration and administration properties. This means administrative actions decrease to leave more time for data design and update (and deployment). Regulation compliance can be a frequent administration task: models ensure that healthcare compliance and governance is currently aligned



The Outcome
MaaS defines service properties through which the DaaS process can be implemented and maintained. As a consequence, applying the Use Case through the introduced directions, the following results should be outlined.

Qualitative Outcomes:
1)    Healthcare actors share information on the basis of defined “on-premise” data models: models can be implemented and deployed using a model-driven paradigm;
2)    Data Models are standardized in terms of naming convention and conceptual templates (Pharma, Insurance, Municipality… and so on): in fact, models can be modified and updated with respect the knowledge they were initially designed;
3)    Storage and partitioning in the Cloud can be defined “a priori” and periodic audits can be set to certify that data are coherent and remain linked to specific sites;
4)    The users consult the information and perform 2 tasks:
4.1) try the (best) search and navigate the knowledge for personal and work activities;
4.2) give back information about user experience and practice/procedures that should be updated, rearranged, downsized or extended depending upon community needs, types of interaction, events or public specific situations.
5)    Models are “on-premise” policy-driven tools. Regulation compliance rules can be included in the data model. Changes on current compliance constraints means changes on the data model before it is deployed with the new version.

Quantitative Outcomes:
1)    Measurable and traceable costs reduction (to be calculated as a function of annual Cloud Fee, Resources tuning and TCO);
2)    Time reduction in terms of knowledge fast design, update, deployment, portability, reuse (to be calculated as a function of SLA, data and application management effort and ROI);
3)    Risk reduction accordingly to “on-premise” Cloud service design and control (to be calculated as a function of recovery time, chargeback on cost of applied countermeasures compared with periodical audit based upon model information).

Conclusion
MaaS might provide the real opportunity to offer a unique utility-style model life cycle to accelerate cloud data optimization and performance in the healthcare network. MaaS applied to healthcare services might be the right way to transform the medical service delivery in the Cloud. MaaS defines “on-premise” data security, coherence, outage, availability, geo-location and an assisted service deployment. Models are adaptable to various departmental needs and organizational sizes, simplify and align healthcare domain-specific knowledge combining the data model approach and the on-demand nature of cloud computing. MaaS agility is the key requirements of data services design, incremental data deployment and progressive data structure provisioning. Finally, the model approach allows the validation of service evolution. The models’ versions and configurations are a catalogue to manage both data regulation compliance [12] and data contract’s clauses in the Cloud among IT, Providers and Healthcare actors [9].

References
[1] N. Piscopo - ERwin® in the Cloud: How Data Modeling Supports Database as a Service (DaaS) Implementations
[2] N. Piscopo - CA ERwin® Data Modeler’s Role in the Relational Cloud
[3] D. Burbank, S. Hoberman - Data Modeling Made Simple with CA ERwin® Data Modeler r8
[4] N. Piscopo – Best Practices for Moving to the Cloud using Data Models in the DaaS Life Cycle
[5] N. Piscopo – Using CA ERwin® Data Modeler and Microsoft SQL Azure to Move Data to the Cloud within the DaaS Life Cycle
[6] N. Piscopo – MaaS (Model as a Service) is the emerging solution to design, map, integrate and publish Open Data http://cloudbestpractices.net/2012/10/21/maas/
[7] N. Piscopo - MaaS Workshop, Awareness, Courses Syllabus
[8] N. Piscopo - DaaS Workshop, Awareness, Courses Syllabus
[9] N. Piscopo – Applying MaaS to DaaS (Database as a Service ) Contracts. An intorduction to the Practice http://cloudbestpractices.net/2012/11/04/applying-maas-to-daas/
[10] N. M. Josuttis – SOA in Practice
[11] H. A. J. Narayanan, M. H. GüneşEnsuring Access Control in Cloud Provisioned Healthcare Systems
[12] Kantara Initiatives -http://kantarainitiative.org/confluence/display/uma/UMA+Scenarios+and+Use+Cases

Disclamer
This document is provided AS-IS for your informational purposes only. In no event the contains of “How MaaS might be applied to Healthcare – A Use Case” will be liable to any party for direct, indirect, special, incidental, economical (including lost business profits, business interruption, loss or damage of data, and the like) or consequential damages, without limitations, arising out of the use or inability to use this documentation or the products, regardless of the form of action, whether in contract, tort (including negligence), breach of warranty, or otherwise, even if an advise of the possibility of such damages there exists. Specifically, it is disclaimed any warranties, including, but not limited to, the express or implied warranties of merchantability, fitness for a particular purpose and non-infringement, regarding this document or the products’ use or performance. All trademarks, trade names, service marks and logos referenced herein belong to their respective companies/offices.


Read the original blog entry...

More Stories By Cloud Best Practices Network

The Cloud Best Practices Network is an expert community of leading Cloud pioneers. Follow our best practice blogs at http://CloudBestPractices.net

@ThingsExpo Stories
SoftLayer operates a global cloud infrastructure platform built for Internet scale. With a global footprint of data centers and network points of presence, SoftLayer provides infrastructure as a service to leading-edge customers ranging from Web startups to global enterprises. SoftLayer's modular architecture, full-featured API, and sophisticated automation provide unparalleled performance and control. Its flexible unified platform seamlessly spans physical and virtual devices linked via a world...
SYS-CON Events announced today that EastBanc Technologies will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. EastBanc Technologies has been working at the frontier of technology since 1999. Today, the firm provides full-lifecycle software development delivering flexible technology solutions that seamlessly integrate with existing systems – whether on premise or cloud. EastBanc Technologies partners with p...
SYS-CON Events announced today Object Management Group® has been named “Media Sponsor” of SYS-CON's 18th International Cloud Expo, which will take place on June 7–9, 2016, at the Javits Center in New York City, NY, and the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today that Commvault, a global leader in enterprise data protection and information management, has been named “Bronze Sponsor” of SYS-CON's 18th International Cloud Expo, which will take place on June 7–9, 2016, at the Javits Center in New York City, NY, and the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Commvault is a leading provider of data protection and information management...
In his session at 18th Cloud Expo, Bruce Swann, Senior Product Marketing Manager at Adobe, will discuss how the Adobe Marketing Cloud can help marketers embrace opportunities for personalized, relevant and real-time customer engagement across offline (direct mail, point of sale, call center) and digital (email, website, SMS, mobile apps, social networks, connected objects). Bruce Swann has more than 15 years of experience working with digital marketing disciplines like web analytics, social med...
SYS-CON Events announced today that Tintri Inc., a leading producer of VM-aware storage (VAS) for virtualization and cloud environments, will exhibit at the 18th International CloudExpo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, New York, and the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today that ContentMX, the marketing technology and services company with a singular mission to increase engagement and drive more conversations for enterprise, channel and SMB technology marketers, has been named “Sponsor & Exhibitor Lounge Sponsor” of SYS-CON's 18th Cloud Expo, which will take place on June 7-9, 2016, at the Javits Center in New York City, New York. “CloudExpo is a great opportunity to start a conversation with new prospects, but what happens after the...
Companies can harness IoT and predictive analytics to sustain business continuity; predict and manage site performance during emergencies; minimize expensive reactive maintenance; and forecast equipment and maintenance budgets and expenditures. Providing cost-effective, uninterrupted service is challenging, particularly for organizations with geographically dispersed operations.
The IoTs will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform. In his session at @ThingsExpo, Craig Sproule, CEO of Metavine, will demonstrate how to move beyond today's coding paradigm and share the must-have mindsets for removing complexity from the development proc...
What a difference a year makes. Organizations aren’t just talking about IoT possibilities, it is now baked into their core business strategy. With IoT, billions of devices generating data from different companies on different networks around the globe need to interact. From efficiency to better customer insights to completely new business models, IoT will turn traditional business models upside down. In the new customer-centric age, the key to success is delivering critical services and apps wit...
Join us at Cloud Expo | @ThingsExpo 2016 – June 7-9 at the Javits Center in New York City and November 1-3 at the Santa Clara Convention Center in Santa Clara, CA – and deliver your unique message in a way that is striking and unforgettable by taking advantage of SYS-CON's unmatched high-impact, result-driven event / media packages.
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, will provide an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life ...
As cloud and storage projections continue to rise, the number of organizations moving to the cloud is escalating and it is clear cloud storage is here to stay. However, is it secure? Data is the lifeblood for government entities, countries, cloud service providers and enterprises alike and losing or exposing that data can have disastrous results. There are new concepts for data storage on the horizon that will deliver secure solutions for storing and moving sensitive data around the world. ...
SYS-CON Events announced today that BMC Software has been named "Siver Sponsor" of SYS-CON's 18th Cloud Expo, which will take place on June 7-9, 2015 at the Javits Center in New York, New York. BMC is a global leader in innovative software solutions that help businesses transform into digital enterprises for the ultimate competitive advantage. BMC Digital Enterprise Management is a set of innovative IT solutions designed to make digital business fast, seamless, and optimized from mainframe to mo...
SYS-CON Events announced today that MobiDev will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. MobiDev is a software company that develops and delivers turn-key mobile apps, websites, web services, and complex software systems for startups and enterprises. Since 2009 it has grown from a small group of passionate engineers and business managers to a full-scale mobile software company with over 200 develope...
WebRTC is bringing significant change to the communications landscape that will bridge the worlds of web and telephony, making the Internet the new standard for communications. Cloud9 took the road less traveled and used WebRTC to create a downloadable enterprise-grade communications platform that is changing the communication dynamic in the financial sector. In his session at @ThingsExpo, Leo Papadopoulos, CTO of Cloud9, will discuss the importance of WebRTC and how it enables companies to fo...
SYS-CON Events announced today that MangoApps will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. MangoApps provides modern company intranets and team collaboration software, allowing workers to stay connected and productive from anywhere in the world and from any device. For more information, please visit https://www.mangoapps.com/.
SYS-CON Events announced today TechTarget has been named “Media Sponsor” of SYS-CON's 18th International Cloud Expo, which will take place on June 7–9, 2016, at the Javits Center in New York City, NY, and the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. TechTarget is the Web’s leading destination for serious technology buyers researching and making enterprise technology decisions. Its extensive global networ...
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, wh...
SYS-CON Events announced today that Alert Logic, Inc., the leading provider of Security-as-a-Service solutions for the cloud, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. Alert Logic, Inc., provides Security-as-a-Service for on-premises, cloud, and hybrid infrastructures, delivering deep security insight and continuous protection for customers at a lower cost than traditional security solutions. Ful...