ACHDM

American College of Health Data Management

American College of Health Data Management

How healthcare informatics will shape the future of healthcare delivery

As care becomes more interdisciplinary, advanced tech approaches can enable personalized medicine and support new forms of care delivery.



This article is Part 1 in a 3 part series. Read Part 2: How data interoperability can transform patient care.

In the rapidly evolving landscape of present-day healthcare, the role of healthcare informatics is increasingly becoming more critical. 

This interdisciplinary initiative weaves together facts generation, laptop technology and healthcare. Informatics is revolutionizing how we approach affected person care, operational performance and standard healthcare shipping. 

By harnessing the electricity of statistics, advanced analytics and modern-day technology, healthcare informatics is ushering in a new generation of precision medicinal drugs, improved patient consequences and streamlined healthcare operations. 

Foundations of healthcare informatics 

At the core of healthcare informatics lies a robust technological infrastructure that enables the collection, storage, analysis and sharing of health-related data. This foundation is built upon several key components. 

Electronic health records (EHRs). Records systems have transformed the way in which patient information is managed and accessed. These virtual variations of patients' paper charts offer actual-time, patient-centered data that make facts available right away and securely to legal users. According to the Office of the National Coordinator for Health Information Technology, the adoption of EHRs by hospitals in the U.S. expanded dramatically from 9 percent in 2008 to more than 96 percent in 2019. This extensive adoption has led to advanced care coordination, reductions in medical mistakes and stronger clinical selection-making. 

Telemedicine and remote patient monitoring. Telemedicine, powered via informatics, has improved access to healthcare services, mainly for sufferers in rural or underserved regions. A study posted in the Journal of the American Medical Association observed that telemedicine visits rose by 766 percent in the early months of the COVID-19 pandemic. This surge verified the ability of telemedicine to offer continuous care even in difficult situations. 

Remote affected person monitoring (RPM) technology enable healthcare carriers to gather patients' critical signs and different fitness records outside of conventional healthcare settings. A systematic assessment published in the Journal of Medical Internet Research showed that RPM interventions for sufferers with chronic illnesses resulted in overall improvements in healthcare and better quality of life. 

Mobile health applications. Mobile fitness (mHealth) programs have empowered patients to take an active role in dealing with their health. These apps have an extensive range of functionalities, from providing medicine reminders to enabling symptom trackers for chronic conditions. A report from the IQVIA Institute for Human Data Science discovered that there are more than 318,000 fitness-associated apps available for download, with more than 200 new apps being created every day. 

Emerging technologies 

The field of healthcare informatics is continuously evolving, with new technologies pushing the boundaries of what's possible in healthcare delivery and management. 

Artificial intelligence (AI) and machine learning (ML). AI and ML are revolutionizing healthcare informatics by enhancing predictive analytics, improving diagnostic accuracy and personalizing treatment plans. Research posted in Nature Medicine found that an AI version may be able to detect breast cancer in mammograms with more accuracy than human radiologists, reducing both false positives and false negatives. 

Regarding predictive analytics, a study in The Lancet Digital Health showcased how studying certain factors can identify medical institution readmission risks with more accuracy than conventional strategies, doubtlessly leading to more targeted interventions and reduced healthcare charges. 

Precision medicine. The integration of genomic statistics with EHRs is paving the way for precision medicine, where treatments are tailored to individuals based on their genetic makeup, lifestyle and environment. The All of Us Research Program, created with support from the National Institutes of Health, aims to gather data from 1 million or more human beings in the United States to accelerate research and improve fitness consequences via precision medication. 

Blockchain in healthcare. Blockchain technology is emerging as a potential solution for secure and efficient health data exchange. A study published in the Journal of Medical Internet Research highlighted how blockchain could enhance the security and interoperability of health records while giving patients greater control over their data. 

The impact of healthcare informatics 

The application of healthcare informatics is yielding tangible benefits across various aspects of healthcare. 

Chronic disease management. Informatics-driven approaches are changing how chronic illnesses are being managed. For example, the Apple Heart Study, which used records from Apple Watch to identify irregular coronary heart rhythms, enrolled more than 400 contributors and established the ability of wearable technology to support the early detection of atrial traumatic inflammation. 

Population health management. Healthcare informatics enables improved population health control by reading massive datasets to identify tendencies and hazards. A study published in the the American Journal of Public Health showed how statistical analytics will be used to predict and prevent opioid abuse at a population level. 

Clinical decision support systems. Clinical decision support systems (CDSS) leverage informatics to provide healthcare companies with affected person-specific guidelines. A systematic review posted inside the Journal of the American Medical Informatics Association determined that CDSS stepped forward practitioner overall performance in sixty four percent of the studies analyzed. 

Challenges and future directions 

Despite its massive potential, healthcare informatics faces several challenges to address before achieving its full potential. 

Data privacy and security. As fitness information becomes more and more digitized, it will be crucial to ensure patient privacy is protected. 

Interoperability. The loss of standardization across specific health IT systems can prevent the seamless exchange of fitness information. 

Digital divide. There's a chance that the advantages of healthcare informatics may not be attainable for all populations, which could exacerbate health disparities. 

Ethical considerations. The use of AI in healthcare raises ethical questions about choice-making, accountability and ability biases in algorithms. 

Looking ahead, the future of healthcare informatics is promising. Emerging technology like quantum computing should revolutionize drug discovery and personalized medicine. The integration of social determinants of health factors with scientific records research may better provide holistic view of patient fitness. Moreover, advancements in natural language processing ought to improve the usability of EHRs, reducing clinician burnout and enhancing care. 

Healthcare informatics stands at the forefront of the virtual transformation in healthcare. By leveraging facts, superior analytics and emerging technology, it's reshaping how we approach health and wellbeing. 

In many ways, healthcare informatics is expected to have far-reaching and profound impacts on care delivery. As we navigate the complexities of current healthcare, the position of informatics is expected to effectively achieve advancements, developing innovations that promise a future of unique and effective person-focused care. 

Herat Joshi, Ph.D, BE, PMP, FACHDM, leads the data science team at Great River Health Systems. Md. Mehedi Hassan is chairman and CEO of The Virtual BD IT Company.


This article is Part 1 in a 3 part series. Read Part 2: How data interoperability can transform patient care.

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