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AI & Healthcare Apps: Machine Intelligence for Hospitals

In today’s fast-changing business and technology landscape, healthcare teams are relying on innovative tools like artificial intelligence (AI) and machine learning to accommodate patient needs, enhance quality of care and maximize facility efficiency. But what makes AI such a powerful solution for healthcare—and how can medical organizations deploy this technology efficiently and ethically?

At SafeNet Consulting, we help a variety of businesses solve complex problems through custom technology solutions. We’re proud to partner with game-changers in the field of healthcare, developing data and artificial intelligence tools to ensure their patients and businesses thrive. This time, we’d like to dive into the subject of AI apps for hospitals and healthcare, including their advantages and key use cases.

The Ethics of AI in Healthcare

One of the most useful aspects of AI is that it can learn from massive sets of healthcare data—at a capacity that’s unheard of for humans. This feature allows AI to support a wide range of hospital operations, including supporting clinical decision-making, administrative tasks, and even patient engagement. However, despite its impressive (and largely untapped) potential, AI also brings unique ethical complexities to the healthcare field.

If you’re bringing AI into a healthcare scenario, and making decisions based on personal data, it’s important to define what those decisions are—and what personal data should be allowed to create those models. For example, you can’t have an AI that’s exclusively trained on a single age or ethnicity and then apply it to every patient. That solution won’t be functional, and in fact, could be a major detriment to a clinician’s decision-making process.

When you’re leveraging AI and healthcare data, the model has to accurately reflect the population that you’re serving. This is just one of the many ethical conversations around AI apps for healthcare—and we’re sure to see ethical policies and guidelines evolve alongside this technology as adoption increases.

How Artificial Intelligence Supports Hospitals

Now that we’ve covered the ethicality of AI in healthcare, let’s break into some of their leading use cases in hospital environments:

Census Count Forecasts

Did you know that AI tools can help accurately forecast census counts across hospital departments? These solutions enable hospital staff to proactively plan around patient flow issues—supporting more intelligent resource planning and allocation. Here’s how it works:

AI models can analyze huge sets of data to identify valuable patterns. By integrating AI with a health system’s data and external information, hospital staff can predict patient census count with remarkable accuracy and speed. That census information helps inform decision-making around distributing hospital resources, discharging patients and preventing potential bottlenecks.

Medical Scheduling

Artificial intelligence is very good at analyzing many potential combinations to find the optimal solution. You can actually apply that capability to scheduling, using AI to ensure clinicians are available at the right times to meet the needs of their patients.

Artificial intelligence can quickly create suggested schedules for physicians using data on frequency and types of medical appointments. As the system gathers more scheduling data, it learns and adapts—actively aligning clinician availability with patient demand. Unlike humans, AI can collect patient data, identify trends and propose the best scheduling solution in seconds, supporting facility efficiency, reduced wait times and more reliable patient care.

Patient Support & Engagement

Another useful application of AI apps for healthcare is supporting patients with chatbots. These AI-based applications can be used to give hospital patients fast, personalized answers to common questions, including additional information on their condition and symptoms. Healthcare chatbots can also be used to assist patients with locating hospitals and scheduling appointments.

AI has major potential to help personalize and contextualize care for patients. Indeed, some healthcare organizations are even using AI-based apps to deliver alerts and targeted content to encourage additional action in patients, such as scheduling follow-up appointments or filling prescriptions.

Put AI to Work for Your Enterprise

At SafeNet Consulting, we develop authentic connections with our partners so that we can create the strongest solutions together. Our team has extensive experience with data and artificial intelligence for a variety of healthcare applications. We’re here to help you make sense of your data—and transform it into a strategic asset that supports your business goals.

Whether you’re ready to leverage predictive analytics, machine learning, data intelligence or a completely customized application, SafeNet Consulting is here to help. We’ll collaborate with you to understand your unique challenges and build a tailored solution to meet them.

For more information on our team and complete capabilities, be sure to contact us today. Also, be sure to reach out for more insight on AI apps for healthcare—and how you can deploy these tools to support your patients and objectives.

Measuring Cloud Maturity: Is Your Business Ready?

Aging applications and infrastructure put your business at a disadvantage in an era of constant disruption. That’s why savvy companies are investing resources into cloud development and migration. But is this growing technology the right choice for your enterprise? And if so, how should your team plan to adopt it?

At SafeNet Consulting, we craft custom technology solutions to meet your emerging business needs. We view your challenges as an opportunity to form a partnership—and work alongside you to find the best solutions for your goals. Today, we’re exploring the topic of cloud maturity to help your business prepare for a successful migration.

Strategic Planning for Cloud Adoption

Migrating to the cloud is an overwhelming challenge for most small- to mid-sized businesses. That’s because it takes precise planning around very specific project goals. So before you dive into moving or scaling applications, it’s important to take a step back and define your business transformation objectives.

Whenever we start a cloud migration project, we ask this question: “What’s your motivation for moving in the first place?” Maybe it’s speed to market, cost reductions, scalability, or even to take advantage of a new technical solution like cognitive services. Understanding that driving need is one of the most important pieces of the project. Here are a few common reasons to consider for your business:

1. Scalability
Cloud technology gives your enterprise the flexibility to scale according to its storage or operational needs. As demand or bandwidth increases, your organization can pivot accordingly.

2. Security
Storing your business data in the cloud helps secure it in a safe location—and recover it quickly in the event of a crisis or unplanned disaster.

3. Efficiency
Cloud computing gives your business access to new tools and technical solutions to automate tasks, increase employee efficiency and support productivity.

Cloud solutions can help your organization drive product development, create new services and capitalize on business opportunities before the competition.

Once you’ve identified the core motivation behind your move, it’s time to take stock of which applications need to be migrated to the cloud—or transformed to suit your business as it evolves.

Application Rationalization

One of the most important concepts we stress in cloud migration projects is Application Rationalization. Think about your own business for a moment; there are dozens of applications you use day to day across different operations. But what are your short- and long-term plans for these tools? Do you intend to phase any out over the next six months—or perhaps merge several apps into a single solution?

Application Rationalization gives you a better understanding of your portfolio of apps, and makes sure you know exactly how long they’re going to be used for. That way, you can be more strategic about which apps you move to the cloud—and lay the groundwork for transforming or merging these solutions to meet upcoming needs.

Organization Alignment

Organization Alignment (or lack thereof) is one of the fastest ways to derail a cloud project. For example, an overzealous team may start experimenting with the cloud independently, taking the initiative to build new applications—and leaving huge security gaps in the process. In other cases, IT employees more familiar with legacy-type servers will feel threatened by the migration and resist it.

In our experience, deploying a top-down approach is essential for successful Organization Alignment. The goal here is to make sure that everyone in the organization has the same understanding, utilization and goals for the cloud project. The problems we’ve outlined above can be avoided entirely through clear communication—and familiarization with the cloud technology itself.

SafeNet Consulting has helped companies of almost every size and specialty successfully navigate their journey to the cloud. We view Organization Alignment as a way to empower your team with the knowledge, skills and competencies to operate on the cloud effectively. As your cloud consulting partner, we can provide any guidance or support your organization needs to prepare for the cloud, from strategy and planning to training.

Governance for Cloud Projects

Now that you’ve thought through the initial motivation and strategy for cloud migration, and laid the foundation for Organization Alignment, let’s tackle governance. Our objective here is to put some guardrails in place for teams that will be working in the cloud—making sure they aren’t spending too much money, accidentally deploying assets in the wrong places, or creating security vulnerabilities.

There’s a wide range of governance features and services your company can use to maintain control and compliance when working in the cloud. For example, you might consider leveraging dashboards to assess cloud spend and usage across your teams—or creating a resource graph for inventory management. By working with a cloud consulting partner like SafeNet Consulting, your company can build and optimize its governance strategy to minimize risk and maximize productivity.

Navigate the Cloud With Confidence

This introduction to cloud maturity should give your team a better understanding of the planning required for a successful move—and whether adopting this technology is the right approach for your business today.

At SafeNet Consulting, we’ve been helping our clients solve complex problems using technology for over 25 years. We can deliver a cloud adoption strategy tailored to your company’s unique transformation needs, driving growth and future innovation in the process. So if you’re ready to drive your business forward with cloud technology, then contact us today!