Medicai’s US Trip: A Leap Forward in Revolutionizing Healthcare Imaging

Miruna Macsim 06/09/2023 | 16:37

In June, a part of the Medicai team has embarked on a learning journey, to attend the prestigious The Society for Imaging Informatics in Medicine (SIIM) Conference, and foster strategic partnerships with clinics across the United States.

 

 

Medicai team has been visiting and held discussions with various clinics renowned for their commitment to innovation and patient-centric care.

Mircea Popa and Alexandru Artimon presented clinics with the possibility to access Medicai’s suite of tools that can streamline their workflow, facilitate shorter turnaround times and enable a more integrated and personalized treatment planning for their patients.

New York

The journey started with The Bold Air Summit, held at the NYU Langone Health, and organized by NYU Health Department of Radiology and Stanford University Department of Radiology.

The event brought together ethicists, legal experts, data scientists, and radiologists for interdisciplinary discussions and patient-centered dialogue about some of the most pressing questions related to the development, implementation and use of AI in medical imaging.

We were happy to be a part and connect with an outstanding crowd seeking clarity on the ethics and legal issues that surround data handling for AI in Radiology.” – declared Mircea Popa.

Medicai met with current customers and collaborators: Professor Emeritus of Radiology and Biomedical Imaging Irena Tocino, MD, FACR, the Vice Chair for Imaging Informatics charged with the implementation of PACS solutions, Clinical Decision Support, Process reengineering and Patient friendly portals for retrieval of reports and radiology information. Medicai worked with Prof. Irena Tocino during the Tumor Board meetings facilitated by Medicai for Ukrainian patients:

We had international Tumor Boards meetings via Medicai with experts from Romania, Moldova, the US and Canada , reviewing images, discussing and planning best care. The platform has been a user-friendly, reliable and efficient tool enabling the international oncology team to care for these tragically displaced patients fighting for their cancer, fighting for their country.” – stated Prof. Tocino.

Medicai team also met Prof. Dr. Doru Paul, from New York-Presbyterian/Weill Cornell Medical Center. Prof. Dr. Doru Paul is using Medicai both for the counseling of patients and their treating physicians during telemedicine consults, and for organizing multidisciplinary tumor boards.

The medical imaging platform set the foundations of a new partnership with a customer in New York City: Japanese Medical Care, an integrated medical facility established to bring both preventive and diagnostic medicine so that all Japanese living abroad realize healthy and comfortable lives through comprehensive and meticulous services.

Texas

Medicai team attended the SIIM (Society for Imaging Informatics in Medicine) conference, where they met with Radical Imaging, Medicai’s partner and a pioneer in medical imaging informatics, interoperability, and integrations. The partnership will enable customers to easily opt-in to use FlexView as their viewer in the platform and FlexView’s customers to have Medicai’s ready-made solution when it is required that they use a central repository for medical images and associated patient data from multiple healthcare systems in conjunction with the viewer. FlexView is a professionally supported, SaaS cloud medical imaging viewer created by Radical Imaging that is based on the Open Health Imaging Foundation (OHIF) framework.

Los Angeles

Medicai met there with their partners from 1st Choice IT and started 2 pilot projects: one withThe Cardiovascular Institute of Greater Los Angeles, an interventional Cardiology and electrophysiology practice, founded on the belief that every individual is unique and deserving of personalized care, and the second one with Glenoaks Obstetrics & Gynecology.

Here are a few insights from Medicai following their 3-weeks research journey:

1. Smaller clinics (<50 doctors) face challenges in managing imaging data

Some of the common challenges faced by small clinics in managing imaging data include:

Cost: Advanced imaging data storage solutions can be expensive to implement and maintain, especially for smaller healthcare facilities with limited financial resources.
Technical expertise: Managing complex imaging data systems requires specialized technical knowledge, which may not be readily available in small clinics.
Interoperability: Ensuring that imaging data can be seamlessly exchanged and integrated with other healthcare systems, such as electronic health records (EHRs), can be challenging for smaller clinics.
Security and compliance: Storing sensitive patient information, such as medical images, requires strict adherence to privacy and security regulations (e.g., HIPAA). Smaller clinics may find it challenging to meet these compliance requirements.
Storage capacity: Imaging data can consume a significant amount of storage space, and small clinics may struggle to keep up with the growing volume of data.

To address these challenges, small clinics should consider the Medicai solution:

Cloud-based solution: Our cloud-based platform offers scalability and cost-effectiveness, allowing clinics to pay for the storage they use, as well as robust security measures to protect patient data.
Vendor-neutral archive (VNA): Implementing a VNA system helps clinics consolidate and manage imaging data from various sources, regardless of the vendor or format.
2. Although clinical data exchange has become ubiquitous, images are still been left behind

Along the continuum of care, the need of sharing all types of information has long been acknowledged. IHE (Integrating the Healthcare Enterprise), the Sequoia Project, and other national efforts and organizations have been established to support and encourage information sharing endeavors. There are numerous Health Information Exchanges (HIE) in existence.

However, only a few of these HIEs support images.  Access to images from other institutions, not just reports, is necessary for comprehensive health information exchange. For many sub-specialists, such as pulmonologists, neurologists, and orthopedic surgeons, the capacity to view images is essential.

3. To realize the promise of AI in medical imaging, we need to overcome a few barriers: acces to data and standardization

Medical imaging data lacks standardized acquisition techniques and is stored in disparate organizations’ silos. This results in large, fragmented, and disorganized data that is challenging to access and use. We need to address the interoperability and standards of this data in order to solve this issue.

As Medicai continues to foster partnerships, the future undoubtedly holds the promise of more efficient clinical workflows, faster turnaround times, ultimately leading to improved patient outcomes and a more connected healthcare system as a whole.

 

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