The Future of EMR Software

As technology has penetrated the core of the healthcare industry, it has moved from paper-based recordkeeping to digital recordkeeping. And as the winds of AI dominate the world, it is slowly transitioning to intelligent systems with analytics and other AI-powered features.

At the helm of this healthcare software systems’ transition is EMR, since it has found itself at the epicenter of healthcare practices. When talking about the future of healthcare, we have to mention something about the future of EMR software. And for good reasons, you see, the usage of AI and other systems has become massive in healthcare lately.

For instance, 2 in 3 physicians are using predictive AI in their healthcare systems. Statistics show a significant increase, with 71% of non-federal hospitals adopting these systems, according to the American Medical Association.

Furthermore, technology is incomplete without mobile, and the impact of mobile technology on EMR has also been phenomenal. It has, in short, given new direction to not only care access but also care delivery. According to SAGE Journals, more than 90% of physicians own and use smartphones in clinical settings, improving access to healthcare tools and data.

The same is seen across the industry as the use of AI tools in healthcare has reportedly seen a jump from 66% to 78% as US physicians continue to use AI for documentation, billing codes, and clinical support.

But in this smoother transition, the transition from static systems to adaptive and intelligent healthcare platforms, the traditional EHRs do not have the capacity to adapt effectively. That is why many healthcare institutions have EMR development.

On that note, let’s see the future trends in EMR software and how it will impact the future of healthcare. So, without further ado, let’s get started!

EMR Software Trends Driving the Rise of ClinicalIntelligence

The future trends in EMR software will define how EMR software will evolve, and it will depend on the needs and requirements of healthcare practices and providers. Some of the current trends that are dominating the development are:

• Interoperability-First & Cloud-Native Architecture:

The rising dependency of data for care delivery and administration is increasing among patients. Due to this, your systems are becoming more dependent on other healthcare software systems. To improve connectivity with these systems, providers are demanding interoperability-first and cloud-native architecture. This will improve accessibility to the information in real-time, which could be accessed anytime and anywhere.

• API-Driven Ecosystems:

APIs have become easy to fetch information, which is why many development ventures are demanding API-driven ecosystems to improve connectivity. For instance, with open APIs, healthcare apps can plug into each other’s systems to exchange data in real-time. Some of the systems that you can connect with labs, pharmacies, RPM tools, and telehealth. Due to this, a single longitudinal patient record can be created, eliminating data silos, and faster care coordination can be achieved.

For modern EHR systems, it is important to have a scalable and future-ready system because, with time, the practice is bound to grow in patient flow. And for your system to be able to adapt to these growing needs, a scalable architecture forms the base, with cloud-native architecture defining the future EMR software trends.

The Role of AI in Custom EMR Development & Automation

AI in custom EMR development is the demand that is dictating the development trends in healthcare lately. This has been one of the major demands of healthcare providers as they are trying to make their EMR systems into intelligent clinical assistants that will help in care delivery as well as administration.

Some of the main features that are enabling this transition are automation, predictive analysis, generative AIs, etc. These features ensure accuracy in documentation processes and reduce manual data entry processes. Furthermore, automation and analytics features have had a significant impact on reducing clinicians’ burnout, and some studies even show a reduction in pajama times or after-hours for providers. For instance, according to ScienceDirect, ambient clinical intelligence decreased by almost 2.5 hours per week of off-hours documentation.

A core feature that is a constant demand of AI in custom EMR development is AI-powered clinical decision support systems (CDSS). Since they act as an assistant for healthcare providers, they help in medication prescriptions, diagnosis processes, care planning, etc., and other healthcare delivery procedures.

With this feature, providers can not only provide better care, but also adopt a holistic approach with access to a complete overview, where your AI-powered EMR system can itself analyze complete patient data and suggest appropriate care measures to derive the best possible patient outcomes.

Impact of Mobile Technology on EMR Accessibility & Care Delivery

Next-generation EMR systems are already here, and they have come as mobile-first EMR solutions. You see, almost everyone owns a mobile phone of some kind. A survey of the Pew Research Center showed that almost 91% of the adults in the US own a smartphone.

This stat might give you an idea about the use of mobile phones in the day-to-day lives of individuals. So, it makes perfect sense to allow providers to deliver care through smartphones and for patients to access care.

If implemented correctly, it can break free from desk-bound clinical workflows and enable the delivery of care with convenience. Also, with real-time access to patient data during hospital rounds, accessing it on mobile devices could enable timely care. Furthermore, a more personalized care delivery approach can be adopted, with easy access allowing providers to stay connected with the patients all the time. This proves to be a turning point in making care delivery better with proper preventive care measures.

This can only be achieved with mobile-first EMR solutions, as it is completely based on cloud and wireless technologies, enabling responsible care, further bridging the gap between care providers and patients.

Mobile-First EMR Solutions & Modern EMR Application Development

If you’re still wondering how EMR software will evolve in the near future, then you need to closely observe the impact of mobile technology on EMR application development. So, if you want to stay ahead of the curve, building a mobile-first EMR solution is a must. In this regard, here are some things that you need to know:

Most of you might confuse mobile-first EMR solutions with mobile-friendly EMR solutions. You see, mobile-friendly solutions are typically built on the desktop, but can be accessed on mobile devices. However, with a mobile-first EMR solution, you build the EMR software for the mobile ecosystem, but it can also be accessed over a desktop.

Now, though this might sound the same, with a mobile-first design approach, navigation, accessibility to features, and other aspects are designed with mobile phones as the primary device. Due to this, you have to prioritize handheld workflows over desktop-centric systems. The major difference comes in the screen size and how it operates, given different usability.

Having said that, one of the major advantages of mobile-first EMR solutions comes in the form of offline accessibility. Desktop systems work on the internet; however, with mobile phones, you can use the EMR system over your phones and do necessary tasks even without an internet connection. However, this does not completely eliminate the need for the internet; you will still need to rely on internet connections for synchronizing the data across the ecosystem.

Still, the convenience and performance optimization prospects with mobile-first EMR solutions can be huge and play a critical role in care delivery. However, to achieve this convenience, a clinician-focused UX must be adopted so that the usability of the software is easy, and even someone new to the software can use and navigate it smoothly.

Cybersecurity as a Core Requirement in Next-Generation EMR Systems

Future EMR technology is expected to make this healthcare IT ecosystem more connected and synchronized, where data sharing is much easier, accurate, and in real-time. Now, this increases the chance of data theft or cyberthreats, given the type of data you store and share from your system.

This is crucial data of your patients, which needs to be protected as part of their fundamental rights. And in connected environments, it is even more important as it is not just important to make your system secure, but also ensure that the bridge between your system and other systems is also secure.

One of the best practices of secure EMR software development is the implementation of zero-trust architecture. It is a cybersecurity framework that asks the user to verify themselves before allowing access to the features and data of the software. It minimizes the attack surface and prevents lateral movements by using micro-segmentation and least-privileged access to protect data, applications, and services.

You can also leverage blockchain technology to ensure data integrity inside your system. As blockchain technology keeps a record of every transaction, which can be traced and not erased, you can easily identify and address the security threats.

Also, while you’re riding the wave of AI in custom EMR development, you can even implement AI to detect threats. For instance, with AI embedded into your workflows, it can easily identify abnormal access patterns and prevent breaches by informing the admin or blocking the access of such users.

Key Characteristics of Next-Generation EMR Systems

If you’ve made it this far into the article, then you now know some of the major trends dictating the future of EMR software. Furthermore, these next-generation EMR systems have some of the key characteristics that you need to know if you’re planning for custom EMR system development as well. On that note, here are some of the key characteristics:

• AI-Driven Insights Embedded into Clinical Workflows: As discussed earlier, AI-driven insights embedded into clinical workflows are one of the core characteristics of future EMR technology. The reason why this makes your EMR system a next-generation EMR system is that it bridges the gap between accessibility, and rather than being layered, it acts as a part of the system, making your system much more intelligent.

• Mobile-First & Device-Agnostic Access Across Care Settings: Another core characteristic of next-generation EMR systems is their ability to work seamlessly on smartphones, tablets, laptops, and desktops without compromising their functionality and security. This way, workflows stay more consistent across devices and reduce dependency on traditional devices. The advantage you get with this is that it improves responsiveness, efficiency, and continuity of care.

• Interoperable, API-First System Architecture: Data accessibility and sharing across systems will be another key characteristic of next-generation EMR systems. For this, the systems will be interoperable with API-first connectivity, ensuring seamless data sharing in real-time.

• High Performance, Security & Compliance Readiness: Given that the development will be new age technologies, the custom EMR systems are bound to be high performing, with enhanced security. Furthermore, given the ever-changing landscape of regulatory requirements and compliance, the next generation of EMR systems will be more flexible.

Despite these characteristics of next-generation EMR systems, the system will truly be futuristic when it continuously adapts to newer technologies. Since the technological and healthcare landscape is constantly evolving, it will prove to be one of the core characteristics of EMR systems.

Frequently Asked Questions