You would be amazed to know that the Healthcare IT industry is growing day by day. It is focusing on the latest trends and how it could help the patients in easy ways. Healthcare data management has been facing challenges for years.
However, there are a lot of things to do to manage healthcare data now. It is an easy and fluent process.
Digitization is indeed shaping the future of the healthcare industry in several ways. Digital versions of electronic health records (EHR), health information exchange (HIEs), patient databases, and other tools have been used by the healthcare industry to manage the data effectively.
Let us understand healthcare data management and its tools in a better way.
What Do You Understand by Healthcare Data Management?
It is a method of managing and analyzing data from various sources. Managing health care data means to allow the system to create a proper frame of patients, treatments, and to enhance health results. Healthcare Data Management makes high-impact business decisions based on data entered.
On the one hand, when tools like EHR and EMR are helping the clinicians in managing the data efficiently, on the other hand, the data is growing exponentially and has increased the demand for analytical tools to convert data into meaningful information.
The Significance and Benefits of Healthcare Data Management
Healthcare data management could offer several benefits to medical staff, clinics, and patients. It is taking over all kinds of organizations. Big data means a huge amount of data that is stored, analyzed, and has to be smartly managed at a fast pace.
Today, data is spread across several providers, and none of them is connected. They use different systems. But when healthcare data management takes on big data, it could create millions annually.
Here are a few benefits and reasons why healthcare data management tools have become important to the healthcare industry.
1. Create Patient Groups and Households
It creates a 360-degree view of patients and households. It integrates the data from the sources available.
2. Improves Health Outcomes
Healthcare data management tracks health records in different areas. It predicts the health conditions in specific areas and then predicts the new ones. The new trend suggests measures to keep an eye on rising health issues.
3. Helps in Making Better Decisions
It suggests what type of equipment to use, what professionals to recruit, and which patients should be taken care of. It helps in making better data-driven results based on data insights.
4. Keeps a Track on Physician Activities
What’s amazing is you could also track the physician’s success rates, his/her medical decision, time spent on different treatments, and more.
Challenges Faced in Healthcare Data Management
While healthcare data management offers several benefits, it has certain challenges too. Every organization tries to protect its customer’s information, but managing the data doesn’t come with challenges.
Here are a few challenges that healthcare professionals are facing today with healthcare data management tools.
1. Scattered Data
Medical data is usually spread or structured in digital documents, images, spreadsheets, and specialized formats. There might be chances that data is collected repeatedly and is stored in different formats by pharmacies, public health organizations, and other healthcare providers.
Healthcare professionals have to start from scratch before using the software. It is to be ensured that there is the right process for finding the data. It might happen that you don’t have one source of correct information about the patient.
2. Data Constantly Changes
When it comes to the hospital, the data constantly changes according to the profession, the patient’s condition, and locations. Patients undergo several tests at different locations. He/she is treated with different medications over time. Different types of treatment create new types of data.
3. It Focuses on Quality Data
In Healthcare Data management, having lots of data is not important. What matters is data quality and how accurate it is. The challenge is to convert several medical records into accurate data.
Also, medical data adhere to government regulations. Poor data quality makes it more challenging to meet the required guidelines and thus limits the benefits that could be offered to the patients.
Managing healthcare data management is not that simple, but if the focus is on what patients need the most, it is good to go.
Tools That You Could Use for Healthcare Data Management
Here are a few tools that you could use to manage healthcare data smoothly.
1. SnapLogic
It is the first data and integration platform as a service. It provides tools for connecting SaaS applications and cloud data sources. SnapLogic’s Elastic Integration Platform consists of pre-built connectors and integration cloud. Its cloud architecture is powered by over 200+ snaps.
Furthermore, its platform enables the organization to gain a return on their application and investments. The components of Snaps are built for a particular application and are available for online storage, identity management, and technologies such as REST, SOAP, XML, and more.
It could perform simple tasks like reading information from a file and complex processes like providing full access to custom objects. It includes the SnapLogic Designer, an HTML 5 based product that allows the snaps to get connected with a visual-drag-and-drop interface without coding.
2. Jitterbit
It is an integration platform and is one of the best tools to add to your organization management. It provides a single-secure platform to know clinical and workflow data. With this tool, you could understand requirements, streamline operations in a better way.
It employs high-performance parallel processing algorithms and allows it to transform data smoothly. It also provides Smart Reconstruction and Data Cleansing tools to minimize the hassle in transforming data between systems.
It also has a system of dashboards so that you could monitor the problems and identify them before turning into a big error. In case if an error is identified, then the person/group of developers are notified instantly.
It has the functionality to improve APIs to suit different cases. It could process any EDI document and transform messages from any combination of databases.
Jitterbit is a reliable platform and has outscored several other popular brands. It has an easy-to-use interface and is a great fit for several companies.
3. Informatica
Informatica provides several Data Management tools for the healthcare industry. It offers cloud connectivity and allows administrators to integrate data with applications. It is a portfolio focused on load, transform, cloud computing integration, ultra messaging, business-to-business data exchange & ultra messaging.
The tools in Informatica offer intuitive products and stay engaged across patients. Over 900 companies are connected with Informatica. It could be used by the organization that is migrating from the existing system to a new database system.
The migration of data into a system could be done with Informatica. It could also be used as a data cleansing tool and to integrate from multiple databases and file-based systems. Informatica could modify the data and clean up the data. It offers several features, like the integration of data from multiple structured and unstructured systems.
4. Information Builders
It provides services in the field of Data Quality solutions and Data integration. Information builders ensure that the data is available across the environment when it is needed. Information Builders offer the organization to leverage the data volumes that they collect from the patient’s lifecycle.
5. Attunity
To lead within the industry: it is required that every business has access to the latest and accurate data. Its solutions enable any organization to deliver data effectively with the appropriate time. It supports a set of sources and delivers a great performance.
It is recognized as the simplest data integration platform to manage complex data. It could aggregate data and files, including the HL7 messaging standard, Hadoop, and other platforms.
Attunity Replicate provides high-performance data replication with an intuitive user interface. It loads the time in no time and efficiently. With Replicate, you could deliver timely information. It eliminates the need for CDC ETL coding.
Attunity Compose allows you to build a data warehouse and to migrate the existing data to another platform. It automates the implementation, design, and minimizes error-prone data warehouse by ETL generation, and workflow. It optimizes process and speed-up analytics projects.
It spins up and iterates the data warehouse. Attunity also adjusts data sources and models. The benefit of using Attunity is it improves the business impact of analytics and ensures consistency.
Final Words
If you are into the hospital industry, then know the terms
HIS and HMIS in detail to progress better. The way data is managed and analyzed in healthcare data management helps any organization to run smoothly.
Furthermore, it improves the outcomes for patients, hospitals, and doctors in the system. If you are in the healthcare industry, then take a look at the
healthcare tech trends in 2020 to become successful.
