May 28 - August 10, 2020
During the time slots below (time zone GMT-5), an expert is waiting for you to talk about our focus week topic “Therapy Decision”.
Diagnosing and treating cancer is a complex process. Daily you face multiple challenges:
- accessing patient information1
- ordering the right diagnostic tests2
- keeping up with the latest evidence-based guidelines3
- administering treatment personalized to your patient4
- maintaining patient engagement5
We help you address these challenges by providing you with a comprehensive and unique set of solutions that helps you provide the best possible care for your patients - from AI-powered digital solutions to innovative technologies in interventional oncology.
Pioneering technology that enables you to deliver personalized cancer care and helps you achieve your goals for better patient outcomes is at the cornerstone of what we do.
Wide-scale transformation is clearly underway
Today, every health system struggles with rising costs and varying quality. Diagnoses and treatments are designed for typical patients. Delivery of care is fragmented and focused on volume. The patient experience journey is in its infancy. And healthcare doesn’t leverage the full potential of data. How can we change that?
At Siemens Healthineers, our insights make it possible to turn challenges into opportunities. Our purpose is to enable healthcare providers to increase value by expanding precision medicine, transforming care delivery, improving patient experience, and digitalizing healthcare.
Challenges in cancer care
Challenges of informed decision-making along oncology pathways
50% of patients report that information necessary to their care was not available when needed.6
In cancer care, you rely on the patient’s comprehensive health history to enable diagnosis, perform staging, and personalize the treatment decision. But, often, compiling the patient’s history becomes a time-consuming process of mining information from multiple locations and disparate technologies potentially compromising the thoroughness of the information.
eHealth Solutions makes relevant health information available exactly where and when it is needed, which is key for efficient care management. We offer specific networking services and applications to enable effective communication and collaboration – independent of time and place.7,8
This is exceptionally important for cross-institutional treatment involving several stakeholders.
- Collaborate more efficiently
- Save resources
- Deliver high-quality patient care
- Enable patients to engage in their own health
AI-Pathway Companion applications enable personalized and standardized patient management and offer process improvement insights through analysis of key performance indicators. AI-Pathway Companion Prostate Cancer displays the patient’s current clinical situation and offers guideline-based recommendations for further steps to provide treatment in accordance with the medical evidence. The digital companion can thus help multidisciplinary teams at tumor boards, for example, to make optimized decisions throughout the treatment process.9
Cognitive factors contribute to the diagnostic error in 74% of the cases.10
With ever-increasing workloads and cases to manage, the automation of simple or repetitive tasks may assist you in ensuring the right test is being ordered the first time and increasing diagnostic precision for interpreting medical images. We believe that reducing the burden on your daily workflow by supporting your diagnostic decision-making allows you to focus on what’s most important – your patients.
Medicalis Clinical Decision Support (CDS) mechanism encourages clinically appropriate use of advanced imaging in accordance with local standards of care. Our solution drives the “right order, first time” while reducing wasteful utilization. It is a qualified solution to meet the upcoming Protecting Access to Medicare Act (PAMA) mandate for the US.11
The AI-Rad Companion, our family of AI-powered, cloud-based augmented workflow solutions, helps you to reduce the burden of basic repetitive tasks and may increase your diagnostic precision when interpreting medical images.
We developed the AI-Rad Companion to help you cope with a growing workload. With its deep learning algorithms, AI-Rad Companion automatically highlights abnormalities, segments anatomies, and compares results to reference values.
Advances in endobronchial interventions
Endobronchial interventions are an important diagnostic step, however today they suffer from low diagnostic yield or high technical complexity. Siemens Healthineers believes that cutting-edge mobile 3D imaging can help overcome both hurdles.
38.2% state that most common cited reason for overtreatment was difficulty in accessing medical records12
Making the right treatment decisions in cancer care is essential to achieving better patient outcomes. However, the decision process can be complicated due to difficulty accessing prior medical records, complex guidelines and borderline indications, and limited time to spend with multi-disciplinary tumor boards and patients.1
Leveraging data integration and augmented intelligence technologies, the AI-Pathway Companion aims to support your multidisciplinary experts’ team and facilitate diagnostic and therapeutic decisions along disease-specific care pathways.9
At the therapy decision phase of cancer care, the AI-Pathway Companion helps you to provide personalized and standardized patient management by
- enabling automatic patient-specific mapping along the clinical pathway using evidence-based guidelines13,14,15,16
- facilitating objective decision-making by multi-disciplinary experts on correlated patient data and preferences13,15
The AI-Pathway Companion
Optimize care pathways with an intelligent decision support system aimed at facilitating diagnosis and therapeutic decisions along disease-specific pathways.
26% of oncology treatment plans are inappropriate4
We believe that - for cancer and other diseases - medical imaging is one enabler of optimized, individualized and advanced treatments. Precise imaging enables more targeted and individualized treatments.
For many treatments intra-procedural image guidance is an enabler of better outcomes and therefore an amplifying factor for the adoption of advanced minimally invasive techniques.
Finally enabling intraprocedural quality control via imaging can help to avoid complications, readmissions and additional cost. It can thereby contribute to better patient satisfaction, less waste of resources and additional cost – not covered by reimbursement.
Lung cancer is the second most common cancer in the world. In the U.S. alone, more than 200,000 patients are diagnosed with this asymptomatic disease every year – and often far too late, leading to relatively low chances of survival.17
The advent of minimally invasive approaches has changed treatment approaches for liver cancer significantly. The ongoing search for new organ-sparing treatments has produced approaches that combine interventional techniques with open surgery, endoscopy, and procedures requiring robotic assistance.
77% recommended app or program to their patients.18
Enabling patients to manage their health during follow-up is essential in achieving improved outcomes. Patients need to be able to easily track their health data on their own devices, then access and share this information with the care providers via an easy-to-use and secure platform.
The eHealth Solutions’ Patient Portal empowers your patients and strengthens patient-physician relationships with the eHealth Patient Portal. Our Patient Portal lets your patients access their health data and records. It also allows them to upload their health information and decide upon authorization rights. This promotes their active participation in a care process that is increasingly paperless without the need for portable storage devices.7,8
As a clinician, the health data your patients provide during follow-up can offer insights into the effectiveness of diagnosis, therapy decision and treatment. The AI-Pathway Companion applications offer process improvement insights through analysis of key performance indicators.9
- AI-Pathway Companion offers transparent insights into time to diagnosis and treatment19
- AI-Pathway Companion provides process improvement insights through cohort analysis of performance indicators19
Our solutions by modality
Digital Health Solutions
Molecular Imaging and Nuclear Medicine Systems
Biograph mCT Sim PET/CT
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1Overtreatment in the United States, 2017 lyu et al.
2https://innovation.cms.gov/Files/reports/MedicareImagingDemoEvalRTC.pdf, page 51.
4DOI: 10.1200/jco.2013.31.15_suppl.6515 Journal
of Clinical Oncology 31, no. 15_suppl (May 20, 2013) 6515-6515
5How Mayo Clinic Is Combating Information Overload, Vitaly Herasevich,
Brian Pickering, Ognjen Gajic, 2018
6Best care at lower cost: the path to continuously learning healthcare in America, Institute of medicine
7eHealth Solutions consists of several products of ITH icoserve technology for healthcare GmbH, Innsbruck, Austria. eHealth Solution products are not medical devices and therefore not to be used for diagnostic purposes. The products/features/services offering are not commercially available in all countries and their future availability cannot be guaranteed due to regulatory reasons or otherwise. Please contact your local Siemens Healthineers organization for further information.
8Please consider that eHealth Patient Portal requires an internet connection
9AI-Pathway Companion applications are not commercially available in all countries. Their future availability cannot be guaranteed. AI-Pathway Companion Prostate Cancer is CE-compliant in accordance with Directive 93/42/EEC. AI-Pathway Companion Analytics and AI-Pathway Companion Connector are not intended for use in the diagnosis of disease or other conditions, or in the cure, mitigation, treatment, or prevention of disease.
10https://innovation.cms.gov/Files/reports/ MedicareImagingDemoEvalRTC.pdf, page 51. Cognitive and System Factors Contributing to Diagnostic Errors in Radiology American Journal of Roentgenology, 201
11Medicalis Clinical Decision Support (CDS) is not commercially available in all countries. Due to regulatory reasons the future availability cannot be guaranteed. Please contact your local Siemens Healthineers organization for further details
12Best care at lower cost: the path to continuously learning healthcare in America, Institute of medicine
13This function is supported by AI-Pathway Companion Prostate Cancer.
14Prerequisite: “All data is available as required per guideline.”; Feature dependent on quality of input data.
15AI-Pathway Companion Prostate Cancer VA10A supports prostate cancer adenocarcinoma cases only.
16AI-Pathway Companion Prostate Cancer VA10A supports NCCN guidelines. EAU guideline support under development.
17American Cancer Society, “Key Statistics for Lung Cancer” 2018, last revised January 8, 2019, https://www.cancer.org/cancer/non-small-cell-lung-cancer/about/key-statistics.html.
19Please consider that eHealth Patient Portal requires an internet connection