Data Management in Healthcare And Medicine: 4 Best Practices

data-management-in-healthcare-and-medicine

Written By Andrew Makar

Professional Cat Herder and an Agile Enthusiast with a keen interest in putting PM theory into actual practice.

Data management is often cited as one of the most critical factors in the success of medical research, care delivery, and public health programs. But healthcare providers are facing the challenge of managing their data—and potentially millions of patients’ records—while providing care based on this information. They need to take steps so that when demand increases further down the line, they’re ready to handle it. 

Notably, one critical part of data management is data mapping. What is data mapping in healthcare? Data mapping is the process of making sense of all collected data from both patients and their environments. The goal is to make sense of the data so that healthcare providers can better understand how to treat patients.

In essence, managing large amounts of data across multiple platforms is increasingly important as organizations move toward real-time decision-making models that rely on data analysis for their success.

That said, read on to learn some data management best practices for healthcare and medicine.

  1. Invest In Integrated Informatics Infrastructure

Data management practices in healthcare and medicine have changed rapidly over the last few years. One of the most significant shifts is the move away from siloed data, where each department or specialty has its data system. 

To be successful in this new environment, organizations must invest in an integrated informatics infrastructure that collects, organizes, and stores data across all departments and specialties. By doing so, they can provide better care while also improving efficiency.

That said, the best way to start this process is by collecting and analyzing real-time data from multiple sources. Once you have collected this information, think about how you can best use it to enhance patient care and improve organizational functions. 

One way to make relevant information more accessible is to create dashboards for each department or specialty. This method will help communicate important information quickly across departments and allow people within those departments to access that data when needed.

Another option is to create automated processes that use analytics tools. That way, the data is automatically updated, and relevant information is sent to the right people at the right time.

  1. Plan For Failover And Disaster Recovery

In the healthcare industry, it’s essential to have a plan for disaster recovery. That means it’s critical to be prepared or have a backup plan in case a problem occurs with the system or network. It ensures that companies can continue to provide services to their patients even if there’s a problem with equipment or software.

That said, the first thing to do when planning for disaster recovery is to understand how your organization maintains its data. You need to know if your data is backed up, how often, and where it’s stored. You also need to understand what happens when there’s a problem with a system or network. 

The second step is understanding what to do if the worst happens. You need to know your options and how to recover from a failure. In addition, make sure to have a plan in place for testing your organization’s disaster recovery plans before implementing them.

  1. Standardize Processes And Practices

Standardizing processes and practices in healthcare and medicine is essential for ensuring that the data collected is as accurate, reliable, and consistent as possible. It’s crucial with regard to patient care management systems (PCMS) and medical records management systems (MRMS).

A standardized data collection process requires that every step of the process be done in precisely the same way across all staff members and facilities. Establishing clear standards for data collection is crucial to ensuring that the process runs smoothly.

The most common standardization practice involves using checklists when collecting information from patients or clients so that everyone can be sure they’ve included everything necessary for accurate reporting. For instance, if healthcare providers ask patients what medications they’re currently taking during their visit, providers should include this information on their following report and any other relevant details.

  1. Implement Strong Access Control

The healthcare and medical industries are heavily dependent on access to patient data. Organizations must tightly control this access to meet the needs of patients and healthcare professionals.

To ensure strong access control, healthcare companies must have a robust system that accurately tracks all requests for access to patient information. Without proper monitoring, it’ll be impossible for the organization to comply with HIPAA regulations or other laws requiring patient data management.

Healthcare companies must also implement strong cybersecurity measures to protect the confidential nature of their patient’s information and prevent unauthorized individuals from accessing it.

One way to implement strong access control is by having a secure network with restricted logins and passwords. Another method is data encryption, which can prevent hackers from accessing data stored on a device or server.

data-management-in-health-and-medicine

Conclusion

With many different types of data collected in healthcare and medicine, it can take time to keep track of everything. However, adopting best practices to collect and store data, such as the steps above, will help researchers learn more about the illnesses they’re trying to address. 

Recommended Articles

A Guide to Strengthening your IT Infrastructure In a Hybrid Workplace

A Guide to Strengthening your IT Infrastructure In a Hybrid Workplace

In a hybrid workplace, information technology (IT) infrastructure is not only used for the traditional purpose of providing access to services like email, document collaboration, and cloud-based applications. It is also used for more advanced IT functions, such as virtualization and machine learning. However, to effectively manage this type of environment, you must be able to integrate your existing systems with new technologies that can help improve productivity.  

Why Finance Is Essential In Project Management

Why Finance Is Essential In Project Management

Business projects require a dedicated team, a dedicated manager, and a specific budget. Without any of these components, a project could fall flat even before starting. Furthermore, it may cause companies to suffer substantial financial losses if there is no proper control of their projects.

Share This