Healthcare 3.0: The Doctor Is Always In

From patient wearables to online medical records to unique applications, digital technology is creating pathways for continuous communication and data exchange as never before. Giving rise to the term “connected health,” devices, services, and interventions centered around the patient’s needs are changing every patient’s healthcare journey, supported by the shared information gathered by those same providers and devices.

While the promise of a fully connected healthcare experience is bright and attainable, challenges need to be acknowledged, and potential pitfalls addressed.

Connecting Patients and Providers

For patients, access to care, information, and self-empowerment is made possible through digital technology. With such devices as biosensing wearables, patients can measure glucose, heart rate, and blood pressure, while insoles measure weight, balance, and temperature. New gadgets and applications let patients track levels or adjust programs to meet their needs and goals. This digital transformation in healthcare improves access to medical records, labs, and doctors.

Healthcare 3.0: Transforming care with Al and ML

Artificial Intelligence (AI)

Machine Learning (ML)

Diagnosis

The future of the holistic healthcare ecosystem lies in the seamless integration and leveraging of these connected devices and systems, with patients digitally engaged, and caregivers, providers, and practitioners willingly sharing data.

To reach this level of engagement and sharing, each facet of the system requires the right digital foundation. To increase patient engagement, systems need to be simple, unifying, and efficient. To adequately support providers and practitioners, systems must offer accessibility to resources, scalability of services, and optimization of gathered intelligence.

Yet the shift toward a transformative healthcare ecosystem comes with challenges. Most digital solutions have been developed individually, creating issues such as integration and interoperability for consumers, payers, and providers. For instance, AI in healthcare improves interoperability by analyzing vast amounts of data and providing actionable insights to patients and providers. Even if successfully integrated, technical barriers arise — one study found that consumers may spend up to two and a half hours addressing a technical problem. As user bases grow and demands on applications and services increase, many face scalability, ease-of-use, efficiency, and user optimization challenges.

Despite growing pains, the healthcare ecosystem is transforming experiences as it develops. From scheduling a visit to the actual consultation, to treatment and beyond, participants are adapting. Similarly, healthcare providers are learning as they go and becoming more digital.

Let’s look at a few examples.

Patient Portal

Healthcare today means multiple hospitals, inpatient and outpatient sites, pharmacies, insurance agencies — and millions of customers. To deliver services, many are upgrading patient portals to deliver services efficiently. By combining disparate websites, apps, and communications into a single portal, patients (and providers!) get the information they need quickly and easily.

AWS is a leading cloud service known for its autoscaling capabilities and comprehensive solutions to help rebuild the web portal. The AWS platform delivers the HIPAA-compliant infrastructure required for storing and retrieving data for search functions, doctors, and the collection and tracking of portal metrics. Even a single portal can mean drastic cost reduction, increased speed and page views, and greater patient satisfaction while supporting a patient-centered healthcare approach.

Learn more about SoftServe’s healthcare and life sciences offerings

Remedy 2: Cloud-Based Database

For healthcare businesses, relaying patient data in a secure and compliant manner is paramount. A cloud-based database provides an easy way for different players in the healthcare ecosystem to connect directly in healthcare delivery. For cloud-based databases, AWS offers support for critical offerings and improves functionality through faster, better services, facilitated searches, and complimentary content. Solutions like these improve healthcare data analytics, enabling providers to make data-driven decisions with an emphasis on efficiency and accuracy. The result? HIPAA-eligible database services that improve performance and lower costs to the organization.

Remedy 3: Cloud-Enabled Patient Convenience

Many patients are familiar with the difficulties of finding and scheduling a doctor’s appointment. The cloud lets patients schedule appointments on digital platforms, decreasing the time it takes to see a doctor and time wasted on the part of physicians. The remote patient monitoring functionality also boosts efficiency, allowing patient health data to be tracked and analyzed continuously from home. This reduces the frequency of unnecessary checkups while enabling timely intervention.

Moving Toward Connected Care

Delivering connected healthcare is a complex task. AWS offers secure, scalable cloud solutions that improve care delivery, analytics, and operational efficiency. SoftServe, as a certified AWS Partner, ensures seamless integration and optimizes infrastructure management using AWS tools. With expertise in DevOps and big data, SoftServe tailors solutions to meet goals for cost, performance, and security.

Together, AWS and SoftServe empower healthcare providers to enhance care quality, streamline processes, and reduce costs.

Reach out to us and explore digital solutions for your healthcare and life science practices.