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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 clinical data management system


Providing CFOs Unprecedented Views of Hospital-Wide Data-Converged Financial, Clinical, and Operational Information
Chief financial officers (CFOs) at large hospitals must process large amounts of information to make strategic decisions. Solutions that intelligently aggregate

clinical data management system  intelligently aggregate and summarize clinical, operational, and financial data give hospital CFOs the ability to quickly identify key indicators and root causes of issues. This paper explores the decision-making challenges faced by CFOs and examines the many benefits of such solutions.

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

HCIMS - Clinical Information System RFI/RFP Template

ADT (admission, discharge, and transfer), Global Requirements, Patient Information, Orders, Plan of Care, Work Plan, Kardex and Summary, Flow Sheets and Vitals, MAR and Medications, Critical Care, L&D Fetal Monitoring, Clinical Record, Reference and Reports, HIPAA (Health Insurance Portability and Accountability Act), Interfaces, Ease of Use, Technical and Support, and Product Technology  

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Documents related to » clinical data management system

How 5 Companies Increased Revenue and Profitability with Leadership and Customer Relationship Management Software


Small to medium businesses (SMB) want to stay competitive, increase revenue, and remain profitable at the same time. This can be a challenge. Whether companies find this challenging because of a slow economy, market saturation, or other reasons, many companies are re-evaluating business strategies and internal processes to overcome these obstacles. For many successful companies, creating a customer-focused business strategy was the first step. Learn how leadership and customer relationship management software can help breed corporate success.

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Attaining Real Time, On-demand Information Data: Contemporary Business Intelligence Tools


Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools and suites. Portlet standardization, enterprise information integration, and corporate performance management are among the proposed solutions, but do they really deliver real time information?

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Insights to Accelerate Services Growth: Account Management, Service Metrics, and Customer Dashboards


A service business should be managed and measured based on the maturity of the business and the specific requirements of its customers. To take this approach, you need a framework for understanding how a services company and its customer engagement should be measured. Learn about the various ways to support strategic account management at each stage of your company’s evolution, which metrics are most relevant, and more.

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Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

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New Realities of Retail Workforce Management: Myths versus Facts


With an economic recovery underway, retailers are leveraging workforce management (WFM) tools to help them address their most pressing needs—cost reduction, return on investment (ROI), and measurably improved performance—while instilling practices that will serve them tomorrow and beyond. Find out how market leaders are leveraging the considerable benefits of WFM systems to gain a significant competitive advantage.

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More Than "Talent": Exploring Talent Management and Workforce Management as a Continuum


“Talent” traditionally refers to key people—executives, experts, rock stars, etc.—that a company does not want to lose, while the majority of the company’s workforce are people who are considered more easily replaceable. But the general workforce can serve as a pool for future talent. This thought leadership explores some of the principles that are driving talent management and workforce management technologies—so you can help each and every one of your employees reach their potential and make the most of your entire workforce.

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Smartree Talent Management Suite


Smartree Talent Management Suite manage complex and resource-consuming processes like personnel administration, time registration, organisational charting, performance evaluation, training administration, recruitment and others, transforming them into effective and enjoyable activities, for which the administrative and bureaucratic aspects are fully carried out by computers, in a timely and accurate manner.

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Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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