Data Ethics and Responsibility Build Trust, Efficiency, and Competitive Advantage

By |2023-11-27T14:39:22-05:00November 21st, 2023|Data Compliance, Information Governance and Management, Privacy|

Data ethics and responsibility refer to the practice of using data in a fair, transparent, accountable, and trustworthy manner. Treating data responsibly extends far beyond simply achieving regulatory compliance. It involves carefully considering the impact of data on individuals and society. While it brings important business benefits, it requires strategy. For example, a university conducting social research on issues surrounding indigenous peoples has a responsibility to respect the cultural values of the indigenous community. This will involve first obtaining informed consent from the community and individuals involved. It also requires taking steps to ensure fairness and cultural accuracy in data

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Data Quality and Security in Manufacturing Essential to Unlocking Industry 4.0 Benefits

By |2023-10-26T10:17:33-04:00October 18th, 2023|Cyber-Security, Information Governance and Management|

Industry 4.0 has transformed manufacturing, reshaping the competitive landscape and powering innovation. By leveraging disruptive technologies such as AI and 3D printing, factories increase productivity while quickly adapting to customer demands. At the same time, the changing landscape underscores the importance of data quality and security in manufacturing. For example, a smart factory might use 3D printing to create complex customized products on demand. Additionally, smart sensors constantly monitor for minute changes in machine health, optimizing maintenance and minimizing downtime. These improved tools and processes both require and generate huge amounts of data that must be carefully managed and protected.

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Best Practices for SDOH Data Collection and Use Improve Health Outcomes

By |2023-10-06T10:02:43-04:00October 4th, 2023|Data Compliance, Information Governance and Management, Trending|

The World Health Organization estimates that social and economic factors determine from 30 to 55 percent of health outcomes. Known as social determinants of health (SDOH), these factors include elements like education, safe housing, social support, and food security. Effective collection and use of SDOH data proves critical to health equity. The medical community recognizes the importance of SDOH. In fact, a recent study showed that 80 percent of organizations collect data about the conditions in which people live, work, learn, worship and play. However, lack of standardization and other challenges make it difficult for these organizations to leverage this

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Patient Identification Crucial to Patient Safety and Quality Healthcare

By |2023-10-06T10:37:24-04:00September 27th, 2023|Information Governance and Management, Trending|

Patient identification and patient matching directly affect the quality, safety, and efficiency of healthcare delivery. However, in a digital era of electronic health records (EHRs) and patient portals, patient identification proves increasingly complex. Effective information governance can improve accuracy while addressing common risks and challenges. Patient identification involves verifying the identity of persons seeking healthcare and matching them with the correct patient records. A rushed registration process or incorrect modifications can generate either duplicate patient records or single EHRs associated with multiple patients. Either problem can result in faulty care decisions and inhibit care coordination. For example, when registering a

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Prevent Information Blocking and Ensure Cures Act Compliance

By |2023-10-06T10:08:32-04:00September 20th, 2023|Information Governance and Management, Trending|

The Cures Act took effect in April 2021. However, many organizations have yet to fully understand and comply with the law’s provisions. The information blocking rule in this legislation has far-reaching implications regarding healthcare data sharing. By taking proactive steps, including information governance, organizations can simplify regulatory compliance. The Cures Act affects virtually every organization with access to electronic health information (EHI). A key purpose of the act involves facilitating the access and exchange of EHI among authorized parties. These parties include entities such as healthcare providers, patients, and health IT developers. Many of these entities already fall under HIPAA

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Support Diversity, Equity, and Inclusion with Proactive Information Governance

By |2023-10-06T10:11:15-04:00September 13th, 2023|Data Compliance, Information Governance and Management|

Diversity, equity, and inclusion (DEI) have become hot topics, particularly in the wake of civil unrest in the United States in 2020. Investors increasingly demand that businesses disclose data demonstrating DEI. And the federal government and nearly every state have passed anti-discrimination laws. Information governance helps organizations put good intentions into action. Diversity in this context refers to differences such as gender, age, race, sexual orientation, religion, and socioeconomic status. It also refers to physical disabilities and neurodiversity. Inclusion, on the other hand, involves the practice of embracing diversity. And equity refers to removing barriers to ensure that historically marginalized

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4 Key Information Governance Topics to Inform Business Leaders

By |2023-10-06T10:20:47-04:00August 30th, 2023|Cyber-Security, Information Governance and Management, Safety and Cyber Security|

Information governance (IG) encompasses the policies, processes, and technologies that enable organizations to manage information effectively. Compliance and risk management aside, IG works best when maximizing the value and usability of information for business purposes. Below, we explore four key information governance topics and why business leaders should take note. Data Governance vs. Information Governance One of the common questions in IG is how it relates to data governance (DG). DG is the discipline of ensuring the quality, availability, integrity, and security of data within an organization. DG focuses on the technical aspects of data management, such as data models,

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Knowledge Management vs Information Governance to Unlock Information Value

By |2023-10-06T10:33:43-04:00August 2nd, 2023|Cyber-Security, Information Governance and Management|

Business leaders know that information holds incredible value for the organization. Data-driven decision-making drives innovation. On the other hand, when knowledge remains stuck in silos and unavailable, efficiency suffers. Understanding the differences and similarities between knowledge management vs information governance will help unlock information value. The first step to understanding knowledge management vs information governance involves defining data, information, and knowledge. The term “data” refers to facts and figures, while “information” describes data that has been organized and put into context. “Knowledge” involves understanding, gained by combining information with experience or education. For example, business data might include a list

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Legal Information Governance Best Practices to Overcome Data Challenges

By |2023-07-28T08:08:28-04:00July 18th, 2023|Information Governance and Management, Safety and Cyber Security|

The most valuable asset for a legal team lies in the vast quantity of sensitive data held regarding clients and case matters. Poorly managed, however, that data can create a major liability. Effective legal information governance drives productivity, improves case outcomes and strengthens both regulatory compliance and client relations. Law firms deal with several challenges unique to the legal profession. In the first place, they work with significant amounts of highly sensitive information from a broad range of clients and cases. Managing the storage, distribution and destruction of that data requires close attention to numerous regulations. In addition to laws

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AI-Driven Retail Information Governance Tackles Data Challenges in the Omnichannel World

By |2023-07-28T08:04:11-04:00July 12th, 2023|Cyber-Security, Information Governance and Management|

Today’s retailers depend on data to improve decision making, increase efficiency and drive customer engagement. However, as omnichannel marketing increasingly dominates the retail space, businesses need to adjust their data strategies accordingly. AI-enhanced tools allow retailers to strengthen retail information governance and optimize data value. For example, IBM offers AI governance solutions to help retailers ensure their AI models are transparent, compliant, and trustworthy. And Vue.ai, a retail automation platform, uses AI to optimize demand forecasting and supply chain management by processing large volumes of data. Information governance involves managing the quality, security, privacy, and accessibility of retail data. Properly

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