Driving Knowledge Management

The healthcare industry is a knowledge-driven industry and depends heavily on the availability of updated training, health services, innovative and clinical knowledge to solve problems and provide the best possible healthcare, innovate, and achieve excellence in the field. A well-defined Knowledge Management (KM) framework is critical for healthcare organizations to achieve this goal. Knowledge Management is all about connecting people to people and knowledge enabling them to achieve strategic objectives such as innovation, competitive edge, continuous learning, and improvement. Let’s see below why the KM framework is vital for healthcare organizations. Empower decision making capabilities:  In the digital age, everyone is constantly bombarded with new information. Healthcare professionals need to make informed choices all the time to make critical decisions that might be lifesaving. However, they might feel handicapped if the information is not streamlined and accessible on the g...

When an employee exits an organization, he or she takes along wealth of experience, insights, learnings, and knowledge. If this knowledge is not captured and passed forward to other peers before the employees exit, it implies a huge loss for the organization – not only from the perspective of loss of employee but also the wealth of knowledge the employee carried with the job experience. Traditionally exit interview was considered a discussion between HR and the employee leaving to understand their reasons for quitting. However, now they have evolved and considered as a critical learning process to capture the knowledge and insights from the outgoing employee and making the learning curve short for the successor.  The exit process should make sure that the wealth of experience and competencies employee has should be accessible to the organization even after the employee is gone. This experience comes both as tacit knowledge in the form of best practices, insights, tips and tricks...

  Collaboration is the buzzword and rightly so. Collaboration helps organizations break down silos and enable multiple skills from global teams to come together, empowering them to innovate. The end result for organizations is better sales and delivery, increased margins, increased client satisfaction, greater client loyalty,  and competitive edge.  

  The KM framework is constantly evolving in the past decades. The importance of managing and leveraging organization’s intellectual knowledge capital to gain competitive advantage has been stressed enough. With the ever-changing business goals, KM is now seen more and more as an integrated mechanism to bring together functional silos rather than an independent operation to manage intellectual knowledge.   Even though the KM framework varies from organization to organization based on the business structure, goals and operations, the evolution of communities, personalization approach with stress on collaborative culture, informal meet ups are some of the trends seen across organizations with end goal to create an environment that is cohesive to knowledge sharing and capturing. However, for KM to succeed and to grow and align with the changing organizational trends and business needs, comes the need to evaluate its performance and measure its success against the defined goals....

Innovation is at the heart of any organization. All organizations strive towards: creating products and services for improved customer experiences. overcoming complex business problems using innovative processes and business models for increased impact and revenue. In this era of digital disruptions and uncertainties, innovation is the key to create a competitive advantage and “design-thinking” is one of the most innovative tools to achieve Innovation and streamline organization knowledge. So how does design thinking aligns with knowledge management (KM)? Knowledge Management help organizations retain their experiences and knowledge to innovate, improve efficiency and productivity. However, many a times true KM transformation remains a struggle for many organizations when it is not seamlessly integrated with employees needs and challenges.   KM framework cannot be a success if it is too technology driven, people find it as an extra task, and they do not want to change esp...

  In the global marketplace, digital technology trends are changing the way we work. Disruptive technologies like the Internet of Things (IoT), Artificial Intelligence (AI) and Virtual Reality (VR) are changing the way businesses operate. Businesses need to be agile today to keep up with the rapidly changing industry trends, or they risk being left behind. Cloud services power the new pattern of Digital Transformation. Cloud services enable companies to continuously transform not only technologically but also culturally. From lead tracing to home delivery, no industry has been left behind by cloud services. The last decade has seen a rapid shift from traditional infrastructure to cloud infrastructure and services. Netflix is one example of a company that has moved to the cloud, redefining the way people consume TV. With the cloud ecosystem, companies can become more agile and innovative, resulting in compelling customer experiences. To remain competitive, organizations taking the j...

One of the biggest challenges faced by most organizations is organizing, finding, and marking information in the knowledge repository in such a way that it is easily accessible as and when needed by the employees. The classical approach used widely is indexing documents to help users in deciding documents relevancy and retrieval.  Classical methods comprise classification systems (taxonomies), thesaurus, and controlled keywords (nomenclatures) [Aitchison et al. 2004; Cleveland and Cleveland 2001; Lancaster 2003; Stock and Stock 2008]. Folksonomy is a most recent knowledge management (km) tool of web 2.0 for searching, accessing, and labelling information by the content creator and the user in a way that makes sense to them. Folksonomies include novel social dimensions of tagging [Mathes 2004; Smith 2004]. It is a new model for content indexing based on collaborative tagging with user generated keywords that broaden the spectrum of knowledge interpretation methods. Folksonomy is a...