AI HEALTHCARE SECTORS
AI for Medical and Clinical Research Organizations
Artificial intelligence automates complex information processing to help empower deeper insight into the ever-enlarging data sets emerging in healthcare to empower better clinical and medical research. AritficialIntelligence.health is a leader among companies working on AI to provide custom and affordable artificial medical intelligence solutions that are targeted to the specific needs of its clients, helping to widen accessibility to this exciting new technology. From CRO companies and clinical research organizations, to medical research institutes and future workers in healthcare, medical AI will offer a wide range of possibilities to empower people by expanding analytics, improving knowledge, and deepening insight. Some examples of AI in healthcare and medicine are below.
Artificial Intelligence for Medical Research Institutes and Organizations
Artificial intelligence will be used in medical research institutes and organizations to better leverage available data with deeper analytical insight than would be possible through the exclusive use of human medical researchers. As the use of electronic health and medical records (EHR and EMR) expands, and automated tools for collecting real-world medical information increase in use, medical researchers have more information to leverage than ever before. But detection of patterns between demographics, previous health histories and treatments, current health statuses, and outcomes involves the recognition of complex correlations across many variables, a challenging and time-consuming process.
EHR analytics software systems can be programmed with AI machine learning to recognize these patterns and identify those which may prove valuable for further medical research. Such pattern detection can be refined over time based upon user assessment to ensure that the AI pattern recognition continues to improve. In this way, medical researchers will be able to use AI to more quickly digest the complexity of medical data available to them to understand what is the most important information upon which to focus to advance understanding in medicine.
Artificial Intelligence for Clinical/Contract Research Organizations
Clinical/contract research organizations may stand to benefit through the use of AI in many ways. One area of particular concern is clinical trial recruitment. Doctors are not always aware of all the clinical trials that may be relevant to specific patients, leaving patients to rely on searching for matching trials themselves through ClinicalTrials.gov. This can be discouraging. AI machine learning can be programmed to recognize qualified candidates from electronic health records and prompt physicians to inform patients of trials that could benefit them. The inclusion/exclusion language used to qualify clinical trial candidates can be intimidating to typical patients. Here, natural language processing can help translate complex medical jargon into more easily understood communications as the patient moves forward in interest of a particular trial by reviewing it in more detail.
With the use of artificial intelligence solutions in pharmaceutical marketing data analytics, pharmaceutical companies can find the best opportunities for new drug research and apply their resources to the most productive aims. AI pharma data analytics may even be used to identify opportunities that may not be profitable in current markets, but could become so given certain structural changes, allowing companies to consider how they may use their influence to shape market forces to their advantage. By leveraging the automated research made possible by medical AI, pharmaceutical marketing data analytics will be more capable to identify important opportunities for advancement in the development of pharmaceuticals that will ensure the best use of time and resources to address unmet needs.
After the initial hurdles of finding a relevant clinical trial and seeing that the patient is qualified by the inclusion/exclusion language, additional challenges remain. Medical AI can help by extracting the pertinent information needed in the final eligibility screening from all available electronic health records (EHR). As electronic health records still lack a standardized format, AI machine learning can help translate information across disparate sources to match the database structures used for specific patient eligibility review. Finally, artificial intelligence solutions can be used with IoMT (internet of medical things) to extract pertinent information like vital signs, exercise, sleep, and more. Even medication adherence can be monitored by recording video of patients taking medication, with AI facial recognition and medication sensing features confirming the visual record for reporting.
AI in Clinical Research Coordinator and Clinical Trial Manager Training and Certification
Clinical/contract research organizations ultimately are as successful as the productivity of their workers allow. AI can help improve training and certification of clinical research coordinators and clinical trial managers alike. Artificial intelligence can be applied to eLearning platforms to make curricula personalized and more directly engaging to each user. This can allow for subtle to dramatic course content changes depending on the specific area of medicine, the educational background of the trainee, or more.
AI tutor chatbots can help field any specific questions training clinical research coordinators and clinical trial managers may have. Quizzes and tests may also be customized with questions that are tailored to target the specific learning areas that are the greatest challenges for that individual trainee based upon their performance on the platform and their interaction with the AI tutor. The personalized approach of AI in clinical research coordinator and clinical trial manager training and certification is sure to standardize the onboarding process and deepen learning for workers that add greater value to the clinical trial process in the long term.
ArtificialIntelligence.health is a medical AI software development company committed to developing custom artificial intelligence systems that target individual client needs while remaining affordable and accessible to a wider audience of medical and clinical/contract research organizations. Founded as a division of DDA, ArtificialIntelligence.health draws from a 25-year history of serving medical organizations of all kinds. Learn more about how AI will positively impact the healthcare sector by exploring the site further, or if you have a particular need you would like to discuss, contact ArtificialIntelligence.health today.
- Uses of Artificial Intelligence
- Medical Device Manufacturing Companies
- Pharmaceutical Research and Development Companies
- Medical & Clinical Research Organizations
- Hospitals & Medical Practices
- Healthcare Professional Organizations
- Medical Schools
- Health Insurance Providers
- Psychiatry and Psychology Practices