Healthcare
Increase in Healthcare AI Will Help Mitigate Risks and Achieve Better Patient Outcomes
Intelligent algorithms are enabling clinicians to make faster, more accurate decisions that reduce diagnostic errors and improve care quality across healthcare
Key takeaways
Intelligent algorithms are enabling clinicians to make faster, more accurate decisions that reduce diagnostic errors and improve care quality across healthcare
With the world of healthcare seeing rapid evolution and where every decision counts, the integration of AI and machine learning models into clinical practice is heralding a new era of precision and efficiency. These innovative tools hold the promise of revolutionizing patient care by seamlessly integrating into EMRs bridging crucial gaps in diagnosis and treatment. Through providing decision-making support to healthcare providers in real-time, they hold the potential to mitigate the risks of incorrect diagnoses, treatment delays, and ensuring timely interventions for patients in need. Additionally, by aiding in the selection of appropriate diagnostic tests and facilitating the escalation of care when necessary, these technologies can significantly enhance patient outcomes.
These innovative tools hold the promise of revolutionizing patient care by seamlessly integrating into EMRs bridging crucial gaps in diagnosis and treatment.
The data generated by these AI tools lays the foundation for the development of predictive models, enabling healthcare professionals to anticipate patient outcomes and healthcare costs with greater accuracy. As these models continue to evolve and utilize information from expansive datasets, they become adept at predicting better patient outcomes and the probability of malpractice.
Dr. Arpita Hazra, the Clinical Patient Safety Data Specialist for Healthcare Risk Advisors, stated how this relationship between technology and healthcare will help improve clinical decision-making and expand patient safety to reduce the burden on healthcare providers. She offered some insights into the potential of AI and machine learning to reshape the future of healthcare.
Dr. Hazra's Thoughts on Patient Outcomes
"Artificial intelligence and machine-learning models can be used to create clinical decision-making support tools that can integrate into the EMR, which can help fill care gaps in busy healthcare settings. This will reduce the incidence of incorrect diagnosis, reduce the delay in diagnosis and delay in treatment for patients, help the providers in ordering the correct diagnostic tests, and help escalate the patient’s care when needed.”
Artificial intelligence and machine-learning models can be used to create clinical decision-making support tools that can integrate into the EMR, which can help fill care gaps in busy healthcare settings.
— Dr. Arpita Hazra, Clinical Patient Safety Data Specialist at Healthcare Risk Advisors
“The data collected from these kind of tools can be used to create machine learning-based predictive models. The more and more data that gets collected in these tools will make this tool more efficient and also help predict the patient’s outcome, the healthcare costs, the probability of malpractice claims."
About the author
Arpita Hazra, a dedicated physician, combines her medical expertise with a passion for building AI and machine learning models aimed at enhancing patient outcomes. Her boundless energy and unwavering motivation are evident in her multifaceted career. With a profound understanding of clinical data management, health education, public health, and program planning, Arpita has excelled in various domains including project management, patient safety, and risk analysis. Her versatility extends to healthcare consulting and clinical risk consulting, where she brings a wealth of qualitative and quantitative research experience to the table. Arpita is a force in healthcare business development, equipped with technical skills in Power BI, Azure Databricks, SQL, and SAS programming. Her expertise also encompasses healthcare data model architecture development and user acceptance testing (UAT), as well as medical writing. In essence, Arpita Hazra is a well-rounded professional with a mission to bridge medicine and technology for the betterment of patient care and outcomes.
