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Cristina Rossi

About Cristina Rossi

Cristina is an Italian with a strong scientific background, holding a PhD in biophysics. She has worked as a data analyst in radiology at various prestigious European universities in Italy, Germany, and Switzerland. With a passion for hiking and shopping, Cristina is fluent in English, German, and Italian.

Practice acquisition in radiology: Stepping into self-employment successfully

For many radiologists, a practice acquisition is an attractive option for realizing the dream of self-employment. However, buying a medical practice also means becoming active as an entrepreneur - with all the obligations, opportunities and risks. Taking the step into self-employment should therefore be carefully planned and systematically implemented. This article provides initial guidance on what to consider when taking over a radiology practice.

By |2024-01-18T11:12:46+00:00Aug 22, 2023|Management|

5 strategies to combat the staff shortage in radiology

The staff shortage in healthcare is pushing many hospitals and medical practices to their limits. Radiology is also affected: In many places, staffing ranks stretch thin, and existing personnel are burned out. This poses a massive threat to patient safety and the quality of medical care. What are the reasons for this and what can HR managers do to close the staffing gaps?

By |2023-08-09T09:00:49+00:00Aug 09, 2023|Management|

Quality control in mammography: 6 practical tips

The aim of quality control in mammography is to maximize the benefits of exams while minimizing their potential risks. By law, mammogram screening programs must include quality control measures. In fact, ongoing internal quality controls provide a sound foundation for clinics to pass external reviews, such as audits and certifications, with flying colors. So, how can clinics maintain consistently high standards in mammography, and how can innovative technology such as artificial intelligence (AI) help? In this blog, we’ll provide a helpful overview with six practical tips on how to achieve this.

By |2023-07-25T09:00:59+00:00Jul 25, 2023|Breast cancer diagnostics|

Misdiagnosis – a liability risk: 5 strategies to minimize errors in radiology

Despite their best efforts and expert knowledge, it is impossible for radiologists to completely avoid misdiagnoses. However, as radiological findings often determine the course of subsequent treatment, incorrect or delayed diagnoses have the potential to cause great harm. In this article, we outline crucial liability issues and offer five strategies on how to keep the error rate in radiology as low as possible.

By |2023-07-11T09:00:38+00:00Jul 11, 2023|Management|

From black bile to precision oncology: Milestones in breast cancer research

In recent decades, breast cancer research has made groundbreaking progress: Breast cancer can now be detected ever earlier, and treated in a much more targeted way. As a result, this cancer has lost much of its former power to threaten – though it is still a serious opponent. Here is an overview of the fascinating history of breast cancer research, ranging from the ancient belief in the four humors, to a modern, tailored oncological approach.

By |2023-06-27T09:00:04+00:00Jun 27, 2023|Breast cancer diagnostics|

The most common factors to impact breast cancer risk

For women in the US and Europe, the absolute risk of developing breast cancer is about 13%. In fact, 1 in 8 women will receive a breast cancer diagnosis in their lifetime. Yet, the individual likelihood of developing breast cancer varies from woman to woman. Research has discovered numerous risk factors – some of which can be influenced, while others can’t. Here’s an overview of the current state of research – and the consequences for early breast cancer detection.

By |2023-05-30T09:00:29+00:00May 30, 2023|Breast cancer diagnostics|

Early detection of breast cancer: current research shows promising new possibilities

State-organized early detection of breast cancer is evidently a successful project: since the introduction of statutory screening programs, demonstrably fewer women have died of breast cancer. But there is still room for improvement, as standardized screenings are not optimal for every woman. Current studies show how breast cancer screening can be methodologically refined and personalized. More efficient workflows could also reduce the burden on radiology facilities.

By |2023-05-16T09:00:25+00:00May 16, 2023|Breast cancer diagnostics|

Dense breast tissue in breast cancer screening: challenges and potential solutions

It’s a well-known radiology dilemma: Dense breast tissue makes it difficult to detect tumors in X-rays of the female breast. Yet, the risk of carcinoma also rises with breast density. The challenge here is that mammograms become less accurate for women who are more likely to develop breast cancer. So, what are the options for women with dense breast tissue, when it comes to offering them tailored early breast cancer detection? And can these strategies also be implemented for routine screenings?

By |2023-05-04T09:00:42+00:00May 04, 2023|Breast cancer diagnostics|

Medical liability in radiology: who is liable when and why?

Wherever people work, there will be mistakes – even in the medical field. If patients are harmed in the process, medical liability applies under certain conditions. Radiology finds itself in a special position here: Although its field of activity is mostly limited to diagnostics, errors can nevertheless have serious medical and legal consequences – for example, if a medically necessary treatment is omitted or delayed due to a diagnostic error. This article clarifies where the main sources of errors in radiology lie, what exactly happens when allegations are made, and how radiology practices can protect themselves from claims for compensation.

By |2023-04-11T09:00:26+00:00Apr 11, 2023|Management|

Early breast cancer detection: 8 steps to the perfect diagnostic mammogram

Mammograms are a core part of detecting breast cancer early, which can significantly improve a patient’s prognosis. But radiology centers that offer state-organized screening programs often face major challenges: correctly performing a diagnostic mammogram and generating a valid report requires profound specialty knowledge. At the same time, patients feel nervous and unsettled during breast exams, requiring a sensitive and empathetic bedside manner. The key here is to optimize and standardize workflows to ensure the highest quality medical care, and to provide women with a comfortable experience.

By |2023-03-22T12:10:49+00:00Mar 21, 2023|Breast cancer diagnostics|

7 myths about AI in medicine

Artificial intelligence (AI) in medicine: a subject that’s polarized the public and raises alarm as well as high expectations. However, our lives have already undergone unseen digital transformations in a host of different ways – not just through AI, but also Big Data. We speak to smart speakers and to our smartphones or receive personalized training tips from our fitness trackers. There’s barely a field that has a higher complexity and data-use than medicine – and that makes it a prime area for applying artificial intelligence. There are many myths circulating about the opportunities and risks of using AI in medicine – but these don’t always stand up to a reality check.

By |2023-03-22T12:10:26+00:00Mar 07, 2023|Artificial intelligence (AI)|

ISO 9001 in Radiology: Proven quality of processes

ISO 9001 is the best known and most widely used international quality management standard. Originating in the industrial sector, it is increasingly gaining importance in the healthcare sector as well. But does certification according to ISO 9001 have any advantages for radiology practices? What are the requirements and how does the certification process work in practice? This article provides answers to these and other questions.

By |2024-01-18T21:56:01+00:00Feb 23, 2023|Management|

Breast cancer diagnosis: Serious mistakes to avoid

After confirming a breast cancer diagnosis, doctors face more major challenges: It’s an emotionally stressful situation, and patients need to be treated with sensitivity while being fully informed of what’s to come. As a team, doctors must develop a treatment plan according to medical guidelines. Any mistakes in the diagnosis and treatment of breast cancer can have grave medical – and legal – consequences.

By |2023-02-24T14:13:21+00:00Feb 14, 2023|Breast cancer diagnostics|

Digitalization and data protection: How secure is my patient data in the USA and the EU?

Whether psychiatric diagnoses or lifestyle (drinking and smoking behavior), patient data contains highly sensitive information and is therefore subject to special legal protection. This data is increasingly available in electronic form due to digitalization in the health sector. This has the potential to improve medical care on an individual and societal level, as networked data allows for more efficient therapies and is also a valuable "raw material" for research. At the same time, however, the requirements for data protection and data security are increasing continually to prevent misusage. An overview of what medical practices and clinics should consider when dealing with patient data.

By |2023-02-24T15:08:59+00:00Feb 07, 2023|Management|

Mammography screening: Why better patient information is needed

Only about 65 percent of U.S. women over the age of 40 report having participated in mammography screenings in the past two years. Throughout the EU, 49.2 percent of all women between the ages of 50 and 69 participated in mammography screenings in 2016. However, very large country-specific differences can be observed. The highest participation rates of more than 80 percent are found in Denmark, Finland and Slovenia.

By |2023-01-10T09:00:49+00:00Jan 10, 2023|Breast cancer diagnostics|

How the healthcare workforce shortage is jeopardizing the quality of breast cancer screening

The general shortage of healthcare professionals has also brought breast cancer screening to its limits: there are fewer and fewer radiologists and radiology technicians (‘MTRAs’), and increasing patient numbers to work through in less time. This has a negative impact on both the working environment and job satisfaction, but above all, it affects the quality of preventive health services for millions of women. Demographic change will only exacerbate the situation in the future. How can we avoid an impending collapse of the healthcare system?

By |2022-12-20T09:00:29+00:00Dec 20, 2022|Management|

Artificial Intelligence (AI) in the future of medicine: Science fiction just yesterday, today a beacon of hope

Our healthcare system is creaking under the pressure of multiple strains: lack of personnel, cost pressures, and the aftereffects of a global pandemic. Artificial intelligence (AI) could make the future of medicine more efficient, precise and safe – and at the same time drive the systemic changes that are so urgently needed. What tasks are self-learning systems taking on now, and what could they potentially do in the future? We give an overview of the situation.

By |2022-12-13T09:00:58+00:00Dec 13, 2022|Artificial intelligence (AI)|
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