Data Security for Healthcare: Top Methods, Challenges and Benefits of Implementation

Isn’t it strange that despite all the talk about data security in healthcare, often there’s little action taken? Imagine finding out about a data breach only after losing valuable information! This was the reality for Professional Finance Company, a healthcare debt collector in Colorado. They experienced a cyberattack that affected nearly 2 million people. Although no misuse of private information was found, the final outcome remains uncertain.

But the risk doesn’t stop at late detection. Data breaches can be expensive, sometimes even forcing businesses to shut down or pay massive fines. If you’re in the medical field dealing with patient information, securing that data isn’t just important—it’s absolutely vital. However, the complexity of data security can lead teams to take shortcuts. In this article, we’re going to discuss how to overcome the challenges of keeping health data safe.

Data Security: What Does It Mean in Healthcare?

Healthcare data security means protecting patient information. This could be personal details, medical history, or financial facts. The aim is to prevent unauthorized access, modification, or destruction of this data.

Let’s illustrate this with a scenario: a patient is moving to a new city and needs to transfer their medical records to a new doctor. In this situation, data security becomes vital. It ensures that the patient’s information remains safe during the transfer.

But how does this information move around in a healthcare ecosystem? Let’s break it down into steps:

  • Both doctors must use secure ways to send the patient’s records. It stops others from peeking in.
  • The new specialist must check who’s sending the records. This ensures it’s coming from the right place.
  • Only people allowed to see the records should have access. You can do this  by setting clear rules on who can see what.
  • The patient’s details must stay the same during the move. Checks are used to make sure nothing’s been changed.
  • Once the new doctor gets the records, they must store them safely. This keeps the data risk-proof both while it’s being sent and when it’s arrived.

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Securing Patient Records: Why You Should Care 

We’ll kick off with a few statistics to appreciate the value of data-proof strategies in healthcare.

How Often Does Data Get Stolen? 

Reports say the number of information thefts each year has tripled. It went from nearly 200 in 2010 to over 700 in 2022. In 2022 alone, more than 52 million people had their health information stolen in these breaches.

What’s the Cost? 

According to a 2022 survey, the average cost of a healthcare data breach has hit double digits for the first time. It’s jumped to a record high of $10.1 million. That’s 9.4% more than in 2021 and 41.6% more than in 2020.

While these figures may seem overwhelming, they also highlight the urgent need for improved safety. Recognizing the benefits of data protection can inspire proactive steps towards enhancement. Here’s what a secure strategy can offer you:

Trust is key between patients and doctors. Good data security means patients feel safe sharing their information. This leads to better care.

Secure and up-to-date patient data helps doctors make better decisions. It lets them give personalized care and reduces mistakes.

Medical organizations have to follow data protection rules. For example, Americans have HIPAA, and Europe, the GDPR. These rules need strict data security to keep patient info safe. By keeping data safe, your company can meet the demands and avoid legal problems.

The healthcare sector is a common target for cyberattacks. Good data security helps protect patient info from theft and fraud.

Data breaches can cost a lot of money and harm an organization’s reputation. Prioritizing data security can help protect against these losses.

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The Three Pillars of Data Security to Address

Data security has three main principles: Confidentiality, Integrity, and Availability. They are known as the CIA triad. We’ll explore each one.

Confidentiality keeps information private. To do this, we use:

  • Access Controls: Limiting who can see data based on roles or permissions.
  • Encryption: Scrambling data so only authorized users can understand it.
  • Authentication and Authorization: Checking user identities and permissions.

Integrity means keeping data accurate and consistent. In practice, this means:

  • Hashing and Digital Signatures: Using math (cryptographic algorithms) to make sure data hasn’t changed.
  • Change Control and Auditing: Tracking changes and looking for unauthorized edits.
  • Data Validation and Input Sanitization: Checking and cleaning data to prevent issues.

Availability means making sure data is accessible when needed. It entails:

  • Redundancy and Fault Tolerance: Using backup systems to prevent disruptions.
  • Disaster Recovery and Business Continuity Planning: Making plans for dealing with outages.
  • Security Measures to Prevent Downtime: Protecting against threats that could cause downtime.

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Techniques for Ensuring Healthcare Data Protection

You might be wondering about the best practices to protect information. Here’s what you should do: 

One key aspect is robust access keys. They allow employees to see only the data they need for their job, which helps reduce unauthorized access. Unique passwords that change frequently, combined with multi-factor authentication, also offer additional layers of security.

Encryption plays a role in protecting data, both when it’s stored and during transfer. Using encryption protocols like AES or RSA makes stored data unreadable to unauthorized users. To protect data from being intercepted while being sent, secure communication protocols like HTTPS or SSL/TLS come in handy.

Update Systems and Apply Patches Regularly

Systems upgrades and applying can help fix known security issues and make systems safer. A vulnerability management program can help find and fix security risks.

How frequently do you check your network to identify weaknesses and gaps? Creating action plans allows addressing risks and enhancing data security. A backup and disaster recovery plan safeguards information from loss during system failures or attacks. With regular backups and a well-designed disaster recovery plan, we can restore systems and details quickly after problems occur.

Another key step is setting up intrusion detection systems. Recent stats are concerning. The U.S. Department of Health and Human Services reports 80% of healthcare breaches come from hacking. Unauthorized access makes up another 15%. You can find and stop unauthorized access attempts timely. Meanwhile, auditing access logs helps spot and investigate suspicious activities.

Negligent employees are a big problem. They cause 61% of healthcare data breach threats. Luckily, healthcare groups are improving. They’re getting better at spotting insider breaches. They’re also better at reporting these to the Office for Civil Rights. What kinds of incidents are we talking about? Employee errors, carelessness, spying on medical records, and even data theft by bad insiders. You can provide all-inclusive training about HIPAA and security standards. Technologies that monitor access to medical records also reduce these breaches.

Healthcare Data Security: Obstacles and Mitigation Tips

A report by Singapore-based Cyber Risk Management (CyRiM) highlights healthcare as a sector greatly affected by cybercrimes. Hackers usually target healthcare and finance industries, with 15% and 10% of attacks respectively. In the last two years, the healthcare sector lost $25 billion.

It’s obvious that medical firms face critical data security challenges. Below are a few of them and how to curb them. 

Interconnected systems, such as Electronic Health Records (EHRs) and Electronic Medical Records (EMRs), often interface with third-party applications. While this integration enhances functionality, it can also inadvertently create vulnerabilities and expose sensitive information.

Solution: Maintain an inventory of connected devices, conduct vulnerability assessments, and implement network segmentation.

Even in the best of workplaces, disgruntled employees are a reality. This can potentially lead to insider threats, endangering the company’s security and potentially compromising sensitive details.

Solution: Remove previous staff from all your networks and educate current ones about the costly implications of leaking data.

Establishing a robust defense system can be a costly endeavor, often beyond the financial reach of smaller hospitals. Consequently, these institutions may find themselves lacking the necessary resources and expertise to ensure adequate IT security.

Solution: Use managed security services or collaborate with cybersecurity partners. Prioritize security investments based on risk assessments.

With the advancement of technology, cyber attacks are also evolving. Actors continually adopt new strategies to compromise healthcare information, making the digital landscape an ever-changing battlefield.

Solution: Create a proactive cybersecurity program with threat intelligence, penetration testing, and incident response planning. Stay informed about emerging threats and best practices.

Conclusion

The root of the problem lies in the foundation. If you’re developing medical software and don’t prioritize IT security, you could run into major issues. The choice of the vendor matters! How well do they understand healthcare systems? Do they comply with HIPAA rules? These aren’t questions to take lightly. At The APP Solutions, security is our top priority. We leverage AI and machine learning to create the safest networks possible.

Are you tired of unpredictable security? Do you want to nip potential threats in the bud? If so, get in touch with us.

Let's discuss how we can bolster your security

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PODCAST #22. EMR Interoperability and Data Standardization Issues Amid AI Adoption in Healthcare

Welcome to another CareMinds podcast episode featuring Sameer Desai, Senior Director of Engineering and Product Management at Verona Health. In this two-part episode, Sameer Desai shares his invaluable insights into the limitations of Electronic Medical Records (EMR) in addressing interoperability challenges comprehensively.

Sameer Desai’s expertise allows us to delve into the specific hurdles smaller and niche healthcare practices face in achieving interoperability. With over 12 years of experience in software development and HL7 C certification, Sameer Desai has extensive knowledge of EHR systems and their intricacies. 

Throughout the episode, he sheds light on slower adoption of the FHIR standard and the cumbersome process of custom integrations they must endure to overcome interoperability challenges.

Let’s dive right in!

The Role of AI in Healthcare and Addressing Data Standardization Challenges

“I think we have heard about everybody transitioning to FHIR. Now, especially in the space I work in, we are going across 50 different EHRs. When you look at the FHIR standard, the maturity of FHIR APIs across EHRs varies a lot.”

Sameer Desai – Senior Director of Engineering & Product Management at Verana Health

According to Mr. Sameer Desai, the problem of lack of standardization has persisted over time. While there are standards in place, most healthcare providers consider them guidelines rather than strict requirements, leading to issues.

He mentions the transition to the FHIR (Fast Healthcare Interoperability Resources) standard, which many in the industry adopt. However, the maturity of FHIR varies significantly across different EHR systems. For example, one EHR may populate all the required fields correctly, while another may not adhere to the same structure or location for data population.

Mr. Sameer Desai also highlights the challenges faced in specialty areas like ophthalmology, where specific EHR systems may lack the resources or capabilities to implement the FHIR standard. Thus, some EHR systems can communicate effectively using standard formats, while others lack the capabilities or resources to do so. This presents a dilemma for building an inclusive AI program that accommodates all EHR systems, regardless of their size or resources.

He emphasizes the importance of enabling participation in AI advancements for all healthcare providers, not just those who can afford or have implemented systems like Epic. However, the customization of workflows within EHR implementations adds another layer of complexity to the FHIR framework. This is because even two Epic implementations may differ in appearance and data organization. Critical information may be stored in notes rather than standardized fields in certain fields like neurology, further complicating data extraction for algorithm development.

Mr. Sameer Desai acknowledges that such diverse data formats pose a challenge, despite recognizing that healthcare data is valuable, akin to oil. Still, it is not uniformly accessible or structured across all EHR systems. He underscores the need to address these issues and achieve standardized data formats to facilitate the development of accurate algorithms, predictions, and improvements in care quality and drug development.

Exploring the Relationship Between the Adoption of FHIR Standard and EMR/EHR Efficiency”

Mr. Sameer Desai expresses his perspective on adopting the FHIR standard and its limitations. He mentions that FHIR is still in its early stages of development and does not address all types of problems in healthcare data interoperability.

He provides an example of their current focus on helping providers submit MIPS reports, which involves administrative aspects of data. Specifically, he mentions the challenge of reconciling medications when patients visit healthcare providers. This type of specific information may not have an exact place within the FHIR standards, as FHIR is primarily evaluated as a clinical data standard. However, he notes that FHIR is also evolving to encompass financial and initiative spaces.

“So I think in the newer world, we expect, like now, we’re going to do something with images; we’re also going to do something with genomic data, which will always result in different formats.” 

Sameer Desai – Senior Director of Engineering & Product Management at Verana Health

Mr. Sameer Desai emphasizes that healthcare data goes beyond just clinical information. The data requirements become more extensive as the industry shifts from transactional to value-based healthcare. They must consider factors beyond diagnosis and disease treatment, such as socioeconomic factors. The scope of data expands to include non-healthcare-related information. Progress must be made toward achieving standard formats.

Looking ahead, Mr. Sameer Desai mentions integrating images and genomic data, which will introduce further variations in data formats. However, he highlights that the challenges extend to the core clinical data, which is not yet standardized. He believes that the pace of FHIR standard adoption will help address these issues, noting that larger DH organizations have already taken the leap, and he expects others to follow suit.

Challenges in Data Plumbing: Addressing Development Obstacles for Integrating Diverse EHR Systems

“So at some point, you have to take a hit to convert that to a common model where you can apply these algorithms at scale and move forward.”

Sameer Desai – Senior Director of Engineering & Product Management at Verana Health

Mr. Sameer Desai expresses his opinion on the challenges and significance of working on healthcare data interoperability. He believes that although this job may not appear shiny or exciting to most engineers, it is crucial for the healthcare industry. Waiting for everyone to adopt the same standards is not feasible; therefore, immediate action is necessary to solve the problems at hand and make progress. He emphasized the need to address the challenges faced in the healthcare space today.

According to Mr. Sameer Desai, the challenges in this field start with technical problems such as establishing connections and sharing data, which can be solved through APIs or direct database connections. However, the real challenge arises once the data is in the environment and needs to be understood. This requires collaboration with EHR vendor partners, who may have different priorities and may be hesitant to cooperate, especially when dealing with startups that lack the leverage of larger organizations. Convincing EHR vendors to work together and establish a common data model becomes crucial, particularly when working across multiple entities.

Another obstacle is the operational aspect, where people become more dependent due to the complexity involved. Working with multiple EHR systems (30 to 50 in this case) requires finding a common data model to apply machine learning and analytical algorithms at scale. Operational challenges also arise from capturing data within EHRs, as different systems may have varied data entry and organization approaches.

He provided an example of the complexity involved in medication reconciliation, where different EHRs use diverse methods such as procedure codes, flags, reverse flags, or note templates. Human involvement becomes essential in resolving such discrepancies, leading to a greater need for larger teams to handle multiple EHR systems effectively.

“It’s also about figuring out these operational things – where does it make sense to invest in automating, and where does it make sense to actually just have people do it?”

Sameer Desai – Senior Director of Engineering & Product Management at Verana Health

Additionally, Mr. Sameer Desai mentioned the complexity at the practice level, where non-standard EHRs allow unstructured notes, and each provider or nurse practitioner may have a way of documenting information. These technological and operational challenges require balancing automation and human intervention, depending on the specific situation and the value derived from solving the problem.

He concludes by emphasizing that all startups encounter these challenges, and the key lies in finding a happy balance or a happy medium. This balance involves determining the value of solving problems and deciding whether automation or human effort is the most suitable approach. Mr. Sameer Desai considers achieving this balance to be an art or science in itself.

Unveiling Verana Health’s Strategies for Tackling Standardization Challenges in Healthcare”

Mr. Sameer Desai shares his perspective on Verana Health’s unique position and approach to solving healthcare data challenges. He believes that Verana Health has a distinct advantage in working with societies and specialties, enabling them to leverage their influence with HR vendors. By collaborating with these societies, Verana Health can request additional support in terms of data mapping and establishing connections with HR vendors.

Mr. Sameer Desai emphasizes that Verana Health’s primary focus is to provide the best customer satisfaction for its registry members. To achieve this, they meet their customers where they are. For practices using Epic, Verana Health has an FHIR injection API that allows them to easily ingest the data. This minimizes the burden on hospitals or practices. However, for practices using smaller, specialized HR systems that may not have similar integration capabilities, Verana Health is responsible for directly obtaining data from their databases.

They then work closely with the HR vendors to understand data mappings and ensure compatibility. Alternatively, if the HR systems have standardized data extracts, Verana Health works with those extracts and maps them to their common data model. This approach provides multiple options to customers, allowing them to participate in the registry and benefit from insights into the quality of care while receiving suggestions for improvement.

Additionally, Mr. Sameer Desai highlights that Verana Health considers patients’ well-being. They offer practice opportunities to participate in clinical trials, ultimately benefiting patients. While certain regions may have limited access to breakthrough treatments and trial participation, Verana Health strives to solve data-related problems for them. They facilitate connectivity to platforms and ensure that these regions are included, enabling them to be part of the larger healthcare ecosystem.

Furthermore, Verana Health leverages artificial intelligence (AI) to go beyond structured data. They analyze unstructured data such as notes and employ AI models to identify additional information. Verana Health excels not only in identification but also in converting this unstructured data into a structured format. By doing so, they can provide valuable structured data to research organizations and clinical trials, aiding in research advancements.

Achieving Effective Problem Solving and Execution in Product Development: Verana Health’s Collaborative Model and Success Stories

“I build the platform, I get the data, and then my outbound product managers are building experiences based on which customer they are serving.” 

Sameer Desai – Senior Director of Engineering & Product Management at Verana Health

Mr. Sameer Desai discusses the collaborative structure and roles within Verana Health’s product management team. He explains that the structure resembles a common model seen in Silicon Valley, known as inbound or outbound product managers or technical product managers versus traditional product managers. Regardless of the terminology, Mr. Sameer Desai’s focus at Verana Health is on building the platform.

“So I am more technically oriented in terms of setting up the platform and looking at how we can scale this.” 

Sameer Desai – Senior Director of Engineering & Product Management at Verana Health

As a technical product manager, Mr. Sameer Desai is primarily responsible for platform development and scalability. He considers the developers and individuals who will create additional applications on top of the platform as his customers. He focuses on the technical aspects of platform setup and operational scalability rather than direct customer interaction.

On the other hand, the outbound product managers work with the data and insights generated by the platform. They use this information to create tailored experiences for different customer segments. Verana Health serves various customer bases, including societies, doctors/providers, and clinical trial sponsors. Each customer base has specific needs, and the outbound product managers build experiences and applications to address those needs.

Mr. Sameer Desai emphasizes that the platform he develops remains agnostic to the specific customer bases. He acts as a layer between the data insights and the engineers, ensuring they clearly understand how the data is used without burdening them with customer-specific details. This structure allows for effective collaboration and streamlines the product development process.

Verana Health’s Resourceful Approach to Ensuring Smooth and Efficient Scaling

According to Mr. Sameer Desai, operational scaling at Verana Health involves several key aspects. Firstly, connecting with different electronic health record (EHR) systems is challenging, some of which are cloud-hosted while others are on-premises. With over 1,500 connections to individual practices, the goal is to make the setup process as easy as possible, particularly for small practices with limited IT resources. Verana Health focuses on building user-friendly and remotely manageable solutions to alleviate the burden on these practices. 

In addition to the operational challenges, there is a focus on reducing data latency. In contrast to the traditional approach of working with claims data that may have a lag of 90 days, their goal is to shorten the lag to weeks. Maintaining connections and ensuring stability is crucial in achieving this objective. The company takes responsibility for ensuring the smooth running and uptime of these connections, focusing on maintaining low latency for data refreshes.

Another aspect of scaling involves the staggered implementation of different EHRs. Each EHR system may be adopted by practices at different times, which requires careful planning and program management. Resources on their side and the EHR partners’ side are limited, so efficient planning is necessary to make the implementation process feasible. Verana Health has dedicated mapping and clinical data transformation resources available for this purpose.

Once the data is received, another scaling layer comes into play, addressing data curation and organization for specific disease areas. Verana Health focuses on understanding market needs and the requirements of research organizations to effectively curate and transform the data for analysis and research purposes.

While these aspects are important, Mr. Sameer Desai emphasizes that the first two aspects, which are external-facing and involve operational scaling, hold greater significance. Meeting their partners’ needs is a priority, and achieving it requires a combination of art and induction in the planning process. It is not solely a scientific endeavor but also involves carefully considering various factors to ensure successful scaling and operational efficiency.

The Future of Interoperability: Navigating Integrations and Data Streams for Smaller Startups and Niche Practices

“We are moving towards data set marketplaces, where startups can leverage pre-cleaned data sets and build experiences that other competitors are not focused on.” 

Sameer Desai – Senior Director of Engineering & Product Management at Verana Health

According to Mr. Sameer Desai, the healthcare industry lags behind other sectors in effectively leveraging data. He acknowledges that there are reasons for this discrepancy, noting that healthcare cannot acquire data in the same way as consumer industries.

However, Mr. Sameer Desai points out an emerging trend in the overall data landscape: the rise of data set marketplaces. He cites AWS as an example of a company that has recently introduced its marketplace, and he believes that other vendors are pursuing similar initiatives. This development will make the data space more interesting as organizations undertake the initial groundwork. They’ll be responsible for the data cleaning and preparation processes, making curated data sets available in these marketplaces.

Mr. Sameer Desai highlights the potential benefits for startups in this evolving landscape. By leveraging these curated data sets, startups can explore developing new AI models to address challenges that other industries and competitors may not be focusing on. Alternatively, they can utilize the data to build unique experiences that competitors have not yet explored or may not be interested in pursuing.

He emphasizes exhaustively exploring these options before resorting to expensive data acquisition methods. Mr. Sameer Desai acknowledges that establishing numerous connections and acquiring data through traditional means can be a capital-intensive process.

Let’s Sum it Up

Here are five key takeaways from our discussion with Mr. Sameer Desai:

  • Data standardization challenges persist in healthcare, hindering interoperability and AI’s full potential.
  • Although still in its early stages, adopting the FHIR standard is essential for achieving data interoperability in healthcare. 
  • Technical and operational obstacles must be addressed, including reconciling different data entry methods and addressing variations in data organization across different systems.
  • Verana Health employs unique strategies to tackle data standardization challenges. They also offer multiple options for practices of different sizes and capabilities to participate and benefit from insights into care quality.
  • Operational scaling, reducing data latency, and effective data curation are crucial for successful healthcare data management.

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The APP Solutions launched a podcast, CareMinds, where you can hear from respected experts in healthcare and Health Tech.

Who is a successful product manager in the healthcare domain? Which skills and qualities are crucial? How important is this role in moving a successful business to new achievements? Responsibilities and KPIs?

Please find out about all this and more in our podcast. Stay tuned for updates and subscribe to channels.

Listen to our podcast to get some useful tips on your next startup.

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