Developing algorithms for the improve- ment of diagnostic care leverages tech- nologies and techniques developed across industries that are exponentially being improved, developed, and tested. Machine learning means extracting patterns not only from patient level obser- vations or a radiologist's primary diag- nosis, but from secondary diagnoses, incidental findings, claims data and similarities with other patients for predictive benefit. The business model for radiology will be based on deeply knowing and leveraging existing data and generating data on patients that can be reused and made easily accessible for-future algo- rithms and changes in healthcare policy and reimbursement.

A set of performance indicators and metrics related to patient safety that classifies and measures mistakes can prevent errors in medical imaging. The potential of harm in this department is high since it is a complicated environ- ment in terms of diversity of services, patient mix, personnel, equipment, tech- nology, and information. In such an environment, it is necessary to define aframeworkto identify safety inci- dents, analyze them, provide solutions for preventing them, and give feedback on the results. Using medical imaging informatics can be effective in monitor- ing these indicators. Benefits such as reducing radiation expo- sure and reducing medication errors and adverse effects can be achieved. It can also promote knowledge through acces- sibility of resources and useful informa- tion in order to optimize decision making.

This is the first time in history to have four generations in the workforce at the same time. As the generations transi- tion and turnover, it is important to determine what makes the most recent generation "tick" Generation Y is new, innovative, and likes to be social. That is a change from what has been tradition- ally taught in leadership courses. Mentorship has become a key factor in gaining trust and engagement from generation Y employees. While there are intrinsic and extrinsic factors that motivate all employees, generation Y has shown to be more intrinsically moti- vated than extrinsically. They value achievement and socializa- tion more than prior generations, and since trust is not automatic, a good mentoring program can bridge that gap. The literature review shows that strong, meaningful mentorship pro- grams are a great way to lead and moti- vate generation Y into the future as cur- rent employees and future leaders.

MaKing and justitying capital expenditures can be a difficult part of a supervi- sory or managerial position. Understanding more advanced accounting tools for justifying these expenditures, like Internal Rate of Return (IRR) and Net Present Value (NPV), can improve the chances of receiving necessary funding. NPV avoids the weaknesses of the IRR method by allowing decision makers to specify when cash flows will occur instead of assuming that net cash flows will be equal each year ofa project. Taking the time to learn basic account- ing definitions and tools can improve your ability to manage and provide greater opportunities to help patients, staff, and the community.

Lue to the importance ot controlling healthcare costs and appropriate utiliza- tion of imaging, this study evaluates CT scan utilization based on the ACR appropriateness criteria in patients at Kashan University of Medical Sciences Tertiary Care University Hospital (KAUMS-TCUH) in Kashan, Iran. Of CT scans performed, imaging proce- dures were rated as inappropriate (9.1%), may be appropriate (11.9%), and appropriate (78.9%). Findings revealed that the highest rates for appropriate and inappropriate requests pertained to trauma (101, 87.8%) and ataxia (8, 34.8%) patients. Findings demonstrated that CT scan utilization is not appropriate in Kashan. Of the total rates of CT scans, almost one tenth are in the inappropriate and may be appropriate groups. This suggests immediate actions to reduce the rates. For effective intervention based on the problematic area, a utilization commit- tee for resources should be established to regularly direct the CT scan utilization.

In the current business environment for contract radiology services, a more stra- tegic approach to marketing can strengthen the ability of an organization to retain existing contracts and win new ones. Although over 70% of surveyed AHRA members believe that marketing is valued within their organizations, only a quarter rated their current marketing programs as highly effective. Survey responses indicate recognition of an unmet need for-marketing programs that are data driven and designed to be evaluated based on meas6rable outcomes. Starting with an understanding of a few key essentials of marketing data and basic categories of marketing metrics can form the foundation of a demonstra- bly effective marketing program for a contract-based radiology organization.

The purpose of this work was a cost analysis for the acquisition of two new MRI devices in a university hospital. The costs of a classical exchange (new purchase) were compared to those of a system upgrade. Taking the local circumstances into account, up to $121,000 could be saved with. the system upgrade for one MRI system compared to a classic exchange. Upgrades of the 1.5 and 3 Tesla systems were performed within 15 working days without any problems or restrictions. The number of examinations per day could be increased from 13.4 to 16.2 using the 1.5T system and from 14.1 to 15.9 using the 3T. The upgrade possibility of an old MRI device represents an economically attractive approach, which allows access to the latest state-of-the-art MRI technology while respecting the limited economic resources of the department.

Understanding the principles behind the time value of money can help individuals succeed in both business and personal long-term planning. The Internal Rate of Return (IRR) method provides a straightforward way to analyze long-term financial decisions. The result, the project's IRR, is a simple percentage that is easy to explain and compare with the results from other projects. When considering multiple investments, it is relatively simple to rank them by their IRRs, make minor adjustments to the list for qualitative issues, and invest down the list until the funds for the year have been spent.

*Machines that dream, the restless impulse for technical change that has marked radiology from its beginning and forays into deep neural networks, will no doubt unsettle long-held institu- tional practices in radiology. *A willingness to collaborate and puzzle through machine intelligence has come from those who have not accepted the status quo. A certain form of scientific curiosity has been a guiding principle in their work. *In radiology, machine intelligence has been extremely useful and built into just about every major technical innovation. But it has only been the last several years that a subfield of Al, machine learning, has begun to show remarkably fast development due to faster comput- er processing capabilities and advanced modeling and results emerging from the application of deep learning.

It would be easy to think that there is no way that there could be more coding changes, but alas, that is not the case. A new year is upon us and so are new coding changes. This year there are more changes for interventional services than regular diagnostic services but the new changes will impact every radiology organization. As of the writing of this article all of the supporting guidance that we look to for additional information is not yet available so more guidance will be needed to ensure proper code assignment. The following information will allow you to start on the update journey within your organization.

*Ferromagnetic detectors capable of alerting MRI operators to potentially lethal projectile risks have been proven to increase patient safety. What is less well known is how such benefits may change over time. *The staff was involved in the whole study as they were trained on the use of the system, asked to record events that alerted the detector, and participated in follow up conversations about the impact of the systems and concerns or questions. *While a metal detection system is capable of reducing the number of incidents in which metal objects are brought into the MRI suite, technologists do become fatigued with the alarms in an MRI system and do not always consciously hear it.

* This article demonstrates that using several protocol change scenarios to illustrate how combining the expertise of a radiologist, CT technologist, a medical physicist, schedulers, and IT personnel would result in a better outcome for protocol optimization, management, and review. * While a team can develop a protocol change, it is not a given that they would then be capable of disseminating that change in a well-documented manner to all scanners within the CT fleet of their enterprise. Several scenarios are used to demonstrate these complexities and interrelationships. * Costs associated with protocol management are discussed. While teamwork and FTEs are quantifiable, the cost of failing to carry out these tasks is harder to quantify.

Making and justifying capital expenditures can be a difficult part of a supervisory or managerial position. Understanding some basic tools for making estimates and calculating values can help simplify this process. Breaking down some of the most common accounting methods into a six-step, intuitive process allows everyone, even those with little or no accounting background, to use and understand the results of these tools. Accounting tools can seem complex when they are first used, but after walking through them step-by-step and practicing them, they can become an essential tool in working with executives and other administrators.