Who Should Attend the 2018 Healthcare Analytics Summit?

Who is likely to benefit a great deal by attending the 2018 Healthcare Analytics Summit, commonly called HAS 18? Leaders in various positions are especially encouraged to attend. They will gain a wealth of information about electronic health records, as well as digital innovation and machine learning as it relates to healthcare. Details on the conference can be reviewed at https://hasummit.com/why-attend/.

Physician Leaders

Medical and osteopathic doctors who act in a leadership role in their workplace may discover fascinating and relevant information at this conference. Doctors who are in charge of a department or an entire medical facility are examples. The doctor in charge of pediatrics at a hospital is one example, and so is the physician who is the head of orthopedic surgery. A doctor running a private practice also can benefit from attending.

Nurse Leaders

A broad range of nursing positions demand leadership activity. At a minimum, these workers have a bachelor of nursing degree, and many have master’s degrees. They may be in supervisory or managerial positions.

Nurses with master’s degrees may become nurse practitioners, allowing them to assume roles that include providing certain services normally offered by doctors. For instance, they can diagnose illness and injury, and write prescriptions for medication.

Patient Advocates

Many medical facilities employ workers known as patient advocates or patient representatives. They step in when patients or their families feel frustrated or are concerned about any aspect of the person’s care. These employees may be nurses, social workers or others with relevant experience before beginning in the position of patient advocate. They help with navigating through bureaucracy, which can be especially welcome when patients are receiving treatment at a very large hospital or medical complex.

Analytics Leaders

In the healthcare setting, these individuals might be working in information technology or research. An enormous variety of data analysis is relevant to healthcare, and today’s computer technology allows for wider, more precise and more in-depth analysis than ever before. Data groups might focus on high-risk populations, predictions, and cost cutting while not diminishing the high quality of patient care. Often, the goal is to improve health and medical treatments while keeping costs affordable for patients.