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Microsoft Amalga

Combine information from many systems, explore data on demand and build out applications as needed to help drive improvements.

Microsoft Amalga Microsoft Amalga helps healthcare organisations connect information across different parts of the healthcare system to impact patient outcomes.Visit the website

The NHS is embarking on the most significant and complex change programme in its history. It is required to make billions of pounds in savings and drive up standards of quality and performance. In this environment, the workforce is also facing deep uncertainties over roles and job security. Undoubtedly, the structure of the NHS will change radically over the next few years.  

“Our challenge was to answer the questions of tomorrow – Amalga is an incredibly robust platform – it’s been tailored and tested to ensure it integrates seamlessly with existing systems and workflows. This also means we are getting exactly what we need to ensure Milton Keynes maintains its excellent record in healthcare, now and in the future.”

Duncan Smith, Director of Finance, Milton Keynes NHS Trust

Driving sustainable and effective healthcare with flexible technology

Throughout this period of transition, quality and performance must be maintained or improved, sizeable cost and efficiency savings must be achieved, and knowledge and skills must be retained and transferred.

As trusts and hospitals make this transition, the creation, collation and retrieval of operational, financial and patient data will be critical to success. Trusts and hospitals will need to:

• Understand – in near real-time – their organisation’s performance, activities and financials
• Become more responsive to commissioners, more transparent on activities, operations, procurement and pricing
• Be more aligned on what is happening with, and across, other healthcare organisations to generate a single view of the patient
• Be more responsive, identify issues faster, empower patients and provide more effective care

How Amalga can help

Microsoft Amalga, an enterprise health intelligence platform, has been designed to offer the foundation for a proven data strategy – giving healthcare organisations a single repository of data from existing systems, while enabling solutions to meet the everyday challenges of the NHS. This approach brings historically disparate data together and makes it easy to identify and act on insights into clinical, financial or operational performance. It centralises all digital information – from patient records to notes to images – into a single, continuously updated repository that is available for analysis and data sharing.  

Amalga enables flexible insights into clinical and healthcare operations, supporting continuous process improvement efforts and helping to promote better healthcare and improved compliance. Combined with familiar, powerful software such as Microsoft SharePoint, Amalga provides the ideal solution for collaboration and information management.

Fundamental to the aggregation strategy is the adoption of open technologies within Amalga, which allow healthcare organisations to build specific solutions flexibly on top of a central repository of data, using third party technologies. These technologies may be developed by Microsoft, its partners or other vendors.

Through a set of defined user experiences, and with support from Microsoft’s ecosystem of customers and partners, trusts and hospitals can integrate a series of purpose-built, but customisable, solutions. These include:

• Discharge Planning and Management
• Commissioning for Quality and Innovation (CQUIN) Management including Venous thromboembolism (VTE), glucose tracking and stroke indicators
• Clinical portals
• Readmissions management
• Prevention of unnecessary medical tests
• Chronic care
• Image consolidation, distribution and departmental analytics

Microsoft Amalga can also be combined with powerful collaborative technologies, such as Microsoft Office and SharePoint, to help healthcare organisations deliver tangible benefits in three core areas:

Manage and understand critical information:

• Gain a consolidated view of a patient or cohorts of patients
• Provide clear and accessible, near real-time clinical and operational dashboards
• Understand care in context:
  - Effectiveness
  - Cost
  - Patient experience
  - Efficiency

Make better decisions:

• Data and information to help do the best for patients
• Co-ordinate care in a shorter time
• Operational insight to mitigate risk, improve service, reduce costs and meet targets

Create sustainable success:

• Work in partnership with individual care givers, teams and organisations to deliver long-term value
• Engender better performance, now and in the future - clinically, operationally, financially
• Build a platform to capitalise on new opportunities and meet future challenges

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The R Project for Statistical Computing

The R Project for Statistical Computing

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.

One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control.

R is available as Free Software under the terms of the Free Software Foundation's GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS.

The R environment

R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes

• an effective data handling and storage facility,
• a suite of operators for calculations on arrays, in particular matrices,
• a large, coherent, integrated collection of intermediate tools for data analysis,
• graphical facilities for data analysis and display either on-screen or on hardcopy, and
• a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.

The term "environment" is intended to characterize it as a fully planned and coherent system, rather than an incremental accretion of very specific and inflexible tools, as is frequently the case with other data analysis software.

R, like S, is designed around a true computer language, and it allows users to add additional functionality by defining new functions. Much of the system is itself written in the R dialect of S, which makes it easy for users to follow the algorithmic choices made. For computationally-intensive tasks, C, C++ and Fortran code can be linked and called at run time. Advanced users can write C code to manipulate R objects directly.

Many users think of R as a statistics system. We prefer to think of it of an environment within which statistical techniques are implemented. R can be extended (easily) viapackages. There are about eight packages supplied with the R distribution and many more are available through the CRAN family of Internet sites covering a very wide range of modern statistics.

R has its own LaTeX-like documentation format, which is used to supply comprehensive documentation, both on-line in a number of formats and in hardcopy. Learn more about (R)...