Evidence-based Learning is crucial in the healthcare industry and it is applied n a plethora of ways and in various aspects of healthcare. One of the areas of healthcare that Evidence-based Learning is applied to is in healthcare analytics and this application is usually done by a healthcare analytics team. A healthcare analytics team is in charge of handling all analytics issues in a healthcare organization and making sure the data is available for use and used in the right way or ways and Evidence-based Learning helps them do this effectively. The Healthcare analytics team comprises the following

 

The Future of Evidence-based
Learning and Data Analytics

 

With so much unused data in healthcare and with this data (big data) growing every day, healthcare organizations have to find new, improved and ingenious ways to used this data through evidence-based learning and data analytics to help the industry move forward and stay current. If there is one industry that is in constant need of innovation and groundbreaking achievements, it’s the healthcare industry. The future looks bright for healthcare as technology continues to play a big role leading to constant innovation, more use of new age technology like artificial intelligence, Machine Learning, Natural Language Processing etc. There is already a huge presence that emerged in the last decade such as increased use of Internet of Things technology and the increased availability of patient-reported data. One can only hope that this innovative pace will grow exponentially thus taking mankind to an age of groundbreaking and highly innovative healthcare.

 

Important Members of a Healthcare Analytics Team

 

How The Chief Analytics Officer Uses Evidence-based Learning

Evidence-based Learning

This is the leader of the analytics team and is usually a senior manager in the healthcare organization. They are usually has a vast knowledge of the workings of analytics and have a solid background in applied mathematics, engineering, science, physics, and any other related field. They usually have years of experience in data applications, data analysis, programming, and data simulation. They are also very versed in programming languages such as Python, R, and  Matlab and can use data visualization tools such as Excel perfectly.

The chief analytics officer position is a very important position because, besides their role of understanding the data and how to use it, they are also responsible for leading the data analytics team and helping the team members make sense of the data for the benefit of the whole healthcare organization. With big data comes big data problems and as such the chief analyst officer must guide the team during data crisis or issues so the problems can be solved in a timely and proper fashion.

The position of Chief analyst officer should not be mistaken for the Chief Information Officer (CIO). Chief analyst officer is tasks specifically with leading a team and making sure all the data needs are met. The Chief Information officer is in charge of a broader set of tasks that are relevant to all information and technology needs for the healthcare organization. The role if the chief analyst officer has gotten more and more important in recent times. As healthcare organizations begin to rely more on big data and on technology, healthcare analytics will play a substantial role in clinical patient management, identification and support for best practices in guidelines, and supporting the end-user (doctors, nurses, clinicians etc) in making better decisions.


The Data Scientist

Evidence-based Learning

The data scientist is also an important member of the analytics team in any organization. They are responsible for collecting data and making the data useful for various purposes within the organization. A data scientist must have good problem-solving skills because they will be the first point of contact with most if not all data problems. The data scientist has expertise in data visualization tools, programming languages and other types of analytics. They also need to be able to work in a  team and communicate effectively. Effective communication means being able to break down the data in a way that other members of the organization will understand and find useful. A Data scientist usually has several degrees (including advanced degrees) in computer science, computer programing, coding languages, mathematics, engineering, and statistics.

The Business Intelligence Manager

Evidence-based Learning

The business intelligence manager is responsible for conceptualizing design and insights using evidence based learning and other tools. The business intelligence manager is expected to collaborate with other members of the team to answer data questions and solve data analytics problems. They usually have an education anda degree in Computer science, computer information system, computer engineering, health information management and/or Mathematics. In the evidence-based learning team, the business intelligence manager is usually looked up to to create scenarios using data from different sources and use these scenarios to predict outcomes that can be used for complex business strategies and even process formation and process improvements within the healthcare organization. The business intelligence officer is also expected to have knowledge and skill in marketing and communication.

Nurse Analyst

Nurses play a huge and very important role in the healthcare industry and this role does not only include the traditional nursing roles. A nurse analyst is responsible for overseeing data integration and data sharing within a healthcare organization that would help with decision making and strategy formation. A nurse analyst can also be called a nursing informatics specialist. One top advantage of a nurse analyst is that they provide a commentary on everyday data dealings but from a nurse's perspective. The analyze and interpret patient generated health data from a nurse's perspective which gives a new and addedan angle to the healthcare organization strategy formulation process. A nurse analyst usually has, in addition to a nursing degree, a degree or masters in health informatics, quality management and/or healthcare management.