Embracing Artificial Intelligence for New Oncology Treatment Strategies

Software-based resources continue to have a transformative impact on today’s healthcare. The sustained success of telehealth was predicated on the work of skilled software designers that enabled healthcare providers to monitor patients remotely and close the gap the industry’s provision of treatment access while working to create individualized treatment plans with reduced expenses. Precedence Research has reported telehealth’s sustained success. With an estimated global revenue of $102.7 billion forecasted to exceed $893 billion by 2032, this impressive revenue stream is directly attributed to the collaboration of dedicated software developers with healthcare officials.

The U.S. healthcare industry has implemented an outcome-based model to determine the efficiency and patient satisfaction of care delivery. Shifting from value-based models, outcome-based metrics focus on positive patient care outcomes post-treatment and the closer examination of a patient’s future health. The metrics monitor a healthcare provider’s long-term success with patient care plans.

Dedicated software engineers play a crucial role in outcome-based healthcare because providers are reliant on innovations such as Software as Medical Device (SaMD) to remotely monitor patients by compiling data in real-time, facilitating streamlined documentation and personalized care plans. Telehealth is still widely embraced, and with the Food and Drug Administration recently approving over 500 new medical devices utilizing AI and machine learning (ML), we see telehealth as a sustainable new platform to further modernize medicine.

AI’s Advent Ushers New Era

The healthcare industry continues citing the treatment of chronic diseases and cancer as the top expense for medical institutions. Oncology demands strict attention to detail, as no two cancer patients are the same due to the disease impacting health and vital organs in contrasting ways. One metric of successful cancer treatment is early detection. Artificial intelligence leveraged by proficient software developers provides oncologists with a cutting-edge resource to not only reevaluate cancer treatments but also optimize their delivery and efficiency.

As patient calls for personalized treatment plans grow, AI’s powerful capabilities have enabled more reasonable diagnoses, and coupled with predictive analysis, AI offers healthcare providers a unique insight not just limited to a patient’s present condition but the unprecedented ability to make data-driven decisions forecasting future outcomes.

Providers utilizing predictive analytics augmented by dedicated industry technology experts also learn possible outcomes of how patients may react to different medications and treatment plans. Predictive analytics work to forecast and compile scenarios in real time, enabling data-driven decisions and facilitating best practices for elevated cancer care. This invaluable resource is predicated on technology reminiscent of AlphaGo’s ability to convert data to possible outcomes.

With these additional resources enhanced by expert-level software developers, AI is ushering in a new era for oncologists seeking to mitigate the pain of patients and proactively strategize how to effectively confront a disease that continues claiming lives despite extensive financial resources dedicated to its eradication.

Modernizing Medical Procedures and Reducing Expenses

The U.S. Institute of Medicine reported unnecessary testing and duplication of services resulted in up to $200 billion in extra healthcare expenses. The Institute of Medicine also attributed 30,000 annual deaths in the U.S. to incorrect medical procedures. These chilling statistics can be reduced by utilizing new resources to mitigate expenses and facilitate proper medical care. Experienced software developers continue innovating AI and ML, and when deployed within healthcare, there remains a measurable success.

The continued rise of robotic surgery seeks to utilize ML to provide data-driven strategies to pre-map each surgical procedure step in real time. This provides surgeons with new avenues for success while reducing the duration of procedures, ultimately reducing expenses and providing patients with clearer action plans that reduce anxiety and miscommunication. AI’s unique ability to record, monitor, and process large volumes of data can be incorporated into surgical education protocols that can serve as in-depth training and improve methodologies to reduce errors and equipment waste and decrease overall surgery durations.

The shift to outcome-based healthcare metrics requires software-based resources to better assist today’s healthcare industry in building upon telehealth’s success and continued calls for individualized treatment plans. Within the oncology sector, providers are afforded cutting-edge resources augmented by adept software developers to strategize creating customized cancer treatment plans, proactively evaluate which patients are most at-risk, and deliver care utilizing modern methodologies.

Deployment of AI within surgery procedures enables professionals to seek new avenues when strategizing for medical procedures while reducing human error and surgical times and working to mitigate patient anxiety while reducing duplication of services and even elimination of unnecessary surgical procedures that have significantly taxed the healthcare industry. As the healthcare industry continues its transformation and adoption of outcome-based business models, software developers play a critical role in optimizing these protocols to not only assist with modernizing medicine and elevating patient care, but to achieve capturing market share.