June 1, 2022

Data-driven Strategies for Digitally Transforming Healthcare

Healthcare is undergoing disruption as society moves towards digital channels for information, transactions, and interactions. In addition to high-quality care, patients expect it to be more efficient, accessible, and equitably priced. Health systems are therefore struggling to embrace data-driven digital technologies that have the potential to transform current care models, business processes, and member experiences.

By using data-driven insights, we can improve patient care, care management, cost optimization, and many other areas. As a result, healthcare organizations must consider data as a strategic asset for making informed decisions and generating actionable outcomes. Data-driven healthcare strategies can help enhance quality and safety, reduce costs, standardize care, and increase revenue.

A shift toward data-driven healthcare that only focuses on new technologies is inadequate. Indeed, the way data is gathered and stakeholders’ interests are managed can enable or hinder transformation.
As illustrated in this blog, we have identified the data-driven strategies for digitally transforming healthcare:

Value-based care:

There has been a paradigm shift in the healthcare industry, as volume-based care is being replaced with value-based care. As a result of value-based care structures, health care providers receive incentives to provide the best care at the lowest cost.

Consequently, patients receive more value for their money. Unlike fee-for-service healthcare, value-based care is based on the quality of services provided.

Big data & analytics:

Changing from a paper-based to a data-driven healthcare organization requires the right mix of people, processes, and technology. As a part of ensuring the correct implementation and utilization of the data initiatives, the healthcare sector must have the right set of tools and the right culture.

In addition, several compliance protocols need to be followed when using data, and data complexity and a lack of technical skills remain a challenge.

Change in Data Structure:

An existing data structure should be thoroughly analysed to determine if any improvements can be made before it is changed. A data structure manages large amounts of data efficiently, which is important for applications such as internet indexing and large databases.

Different data structures have different strengths and weaknesses. To determine whether a different solution would be better suited for the organization, assess the strengths and weaknesses of the structure.

Utilize a Centralized Software Solution:

To improve healthcare processes and better serve patients, centralized software systems are commonly used. However, not all software is the same.

Complexities within the software, such as time-consuming operations, frequent errors, and difficulty in use can have the opposite effect on the software’s intent and sluggish operations. A centralized software solution must offer the features and integrations that modern healthcare facilities will need to achieve success.

IoT-enabled Real-time Care:

Real-time information collected from Internet of Things (IoT) devices enables doctors and healthcare providers to monitor patients’ health before and after treatment.

Due to the fact that these wearables constantly collect data about key health parameters such as heart rate, blood pressure, and oxygen level, any discrepancies that indicate potential danger can be reported to both patients and relevant caregivers in real time.

Data Security:

Considering the massive amount of data and its value in the health sector, ensuring data security is of utmost importance.

Healthcare data security is a complex issue involving ensuring the secure exchange of patient information, securing the integrity of medical applications, and controlling access to healthcare applications and systems with personal data.

Eliminate Organizational Silos:

Medical practices and healthcare organizations tend to decentralize marketing functions across numerous departments and locations. Although these kinds of “silos” can easily be accepted as the status quo, they are a major hindrance to data sharing and overall growth. These include:

  • Incomplete, inefficient, or non-existent communication channels between various teams.
  • Inability to communicate and collaborate on ideas.
  • Lack of alignment within organizational strategies, including competing interests.
  • Spreading data across multiple locations can lead to inaccuracies, inconsistent data, and incomplete data.

Critical to predictive and precision medicine:

Traditionally, either there is a lack of data or the data available is suboptimal. Because of this, healthcare practitioners had no choice but to draw conclusions based on what was available to them. This method, however, led to a high failure rate and rework rate.

The availability of disparate data sources, such as telemedicine platforms, population health management platforms, and more, allows sufficient information to be gathered and analysed to provide insights.


Finding a Path Forward

With a view to the future, the power of data-driven insights and digital transformation will be crucial to better understanding healthcare and its wide-ranging effects on patients.

To continue adapting, it’s increasingly important to harness the power of data and embed technological advances into standard processes, enabling patients to manage their data themselves and use it to manage their health.

Streamline your healthcare organization’s data capabilities with ZoftSolutions, one of Canada’s leading digital transformation companies. In addition to improving productivity, reducing operational costs, and increasing revenue, becoming a data-driven healthcare organization can have countless benefits.

Tags big data data security digital transformation internet of things iot