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Leveraging big data in healthcare: How custom software can drive insights
Big data is a high-volume, high-velocity, high-variety, and high-veracity data set created by health care providers, payers, and consumers.
Healthcare providers increasingly depend on custom software to
handle specialized needs and improve patient outcomes. Be it
clinical applications that improve patient data management, billing
process automation, custom e-forms, or advanced analytics, custom
healthcare software is now an invaluable asset because it is often
better attuned to healthcare organizations' specific workflows and
regulatory requirements.
However, getting a new custom software to work with existing
healthcare systems is complex. Some of those systems may be legacy
systems – a kind of hardware with outmoded functions still in
widespread use – and they were not built to interface easily with
new types of software. In addition, information has to flow securely
between systems, and many organizations need to comply with
regulatory standards such as HIPAA, which severely limit the number
of people who can access separated but linked data. All this is not
easy.
This blog is focused on the challenges of adding custom software to
healthcare organizations. These can be regulatory compliance,
infrastructure, compatibility with existing systems, user adoption,
or data migration. We will address each common theme while providing
solutions to the pain points caused by implementing custom software
for your existing systems. This way, healthcare providers can
integrate custom software while avoiding disruptions to existing
workflows.
Healthcare organizations have unique and specialized needs that
change rapidly and often unpredictably as medicine advances and the
needs of patients and staff change. Any software solution must keep
pace with the latest technologies and trends and be customizable to
meet the increasingly demanding operational and compliance
requirements of the modern healthcare environment.
custom software development for healthcare
allow for the development of systems optimized for the unique needs
of its users, whether for document management, medical practice
management, or patient monitoring.
Improved data management, streamlined operations, and better
coordination among different parts of the healthcare operation all
result in better patient care, much of which comes about through
custom software integration into the healthcare arena. For
organizations with custom software designed for their use, many
processes are streamlined by eliminating redundancies. Practically
speaking, automation often results in simplified workflows and
processes. These aspects substantially reduce the burdens of
digitization for the organization by eliminating time-consuming or
meaningless procedures typically based on inherent redundancies.
Another benefit is that automation minimizes the administrative work
that healthcare professionals must perform, thus giving them more
time for patient care. Moreover, custom software maximizes
data-management capabilities, allowing for better use of health
information as the foundation for making decisions, performing
research, and monitoring patients.
No matter the custom software development project, integration in
the healthcare field is becoming increasingly important as more
digital solutions are relied upon. As organizations are adopting
electronic health records (EHRs), telehealth platforms, or remote
patient monitoring systems, it is desirable that these healthcare
system components ‘talk’ to each other to guarantee the smooth
function of the whole system. Data silos, inefficiencies, or even
worse, interruption of patient treatment surely is not a desired
outcome for the organizations. Furthermore, integration of custom
software in the form of
healthcare software product development
or product development in healthcare platforms is also a strategic
necessity as more and more solutions become available, and
organizations would need these services to create a truly connected,
holistic, and streamlined healthcare.
One of the biggest challenges with integrating custom software into
healthcare systems is how information can be shared and communicated
between tools and stakeholders. Healthcare organizations often
operate with a mishmash of legacy systems and third-party
applications that vary in the format of their data elements, as well
as their protocols and interfaces. For a piece of custom software to
be introduced, the new system should be able to seamlessly
communicate and exchange data between it and the surrounding
healthcare ecosystem. This may sound like a complex task because the
custom system would need to make sense of the different variables
and vocabulary present in data from other sources so that
information can still be meaningfully shared.
It’s critical to ensure these systems can work together by following
some best practice standards for healthcare data, such as HL7
(Health Level Seven) and FHIR (Fast Healthcare Interoperability
Resources). These standards offer guidelines for how healthcare
information should be structured, how it can be transferred, and how
different receiving systems should respond. If these standards are
followed, it will allow for easier integration of custom-built
software and more reliable interoperability, avoiding common
mistakes that lead to data errors and ensuring that the systems can
communicate seamlessly.
Ensuring that data is safe while integrating custom software into
healthcare systems and following rigid compliance standards (such as
HIPAA) are among the most critical challenges in integrating custom
healthcare software into the healthcare enterprise. Health care
shares personally identifiable patient information, which, if
compromised, can imperil patient privacy and corporate viability.
When custom software needs to integrate into healthcare systems, it
can interface with large volumes of patient information, adding
unnecessary challenges to ensure that the software and systems it
connects with are resilient to security attacks. The challenge lies
in enforcing stringent data security protocols such as encryption
during transmission, access controls, and a commitment to regular
security audits to ensure best-of-breed data privacy and
confidentiality as information moves from system to system within
the healthcare enterprise.
Compliance with regulations that apply to HIPAA data, such as the
restrictions on how PHI should be treated, adds another chapter to
the story of integration in
custom healthcare software solutions. Besides ensuring that custom software will perform its business
tasks flawlessly within the historical environment of healthcare IT
systems, the software will be subject to stringent security
mechanisms to eliminate the possibility of unauthorized access. It
should trace all data exchanges per the legal requirements for such
data. Violating HIPAA rules could result in hefty fines and other
legal sanctions, with almost no healthcare organization in the US
being able to afford to be complacent.
The reality is that legacy systems present substantial barriers
whenever custom software needs to be developed for integration into
healthcare environments. Most of the systems many healthcare
institutions run are legacy systems designed decades ago for legacy
hardware and other software solutions built with older technology in
mind using a closed architecture that was typically not intended to
be interoperable with other systems. While the overriding intent in
healthcare is to have a patient’s record as accessible as possible,
the legacy systems might not be designed to speak the same language
as new solutions being written today. Certain requirements, such as
how data is exchanged or how data (in real-time or otherwise) needs
to flow seamlessly across multiple interfaces and platforms to
integrate custom software, might not have been incorporated
initially. These incompatibilities could lead to integration delays
and additional costs, with the potential for healthcare
interruptions.
What further complicates this issue is that legacy systems are
usually riddled with undocumentation, have old, obsolete code and
language, and many vendors no longer support older technology,
forcing healthcare providers to run the risk of replacing or
overhauling everything at once – which is not only expensive but
also resource-draining and time-consuming. To achieve compatibility,
customization, middleware solutions, or even partial system
replacements are often needed to link the old to the new. This
integration process takes planning, time, and expertise, and the
custom, built-for-you software must make the healthcare system
better and not harder.
Cost and resources are two primary challenges to
healthcare custom software development, especially in smaller healthcare organizations. The integration
process often means investing a lot of money in purchasing custom
software and upgrading the system’s infrastructure, training users,
and recurrent support. For smaller healthcare organizations with
small budgets, this can be a major impediment. Even if the long-term
intangible benefits of custom software are apparent, the upfront
costs can be hard to justify. The hidden costs of integration
include possible downtime during the transition and staff training.
The latter requires specialized IT staff not commonly found in
smaller healthcare facilities or organizations.
Independently of any financial implications, it is difficult for
smaller healthcare organizations to endure technical resource
constraints such as – to give just one example – the absence of
in-house technical talent to cater to the complexity of software
integration. Some of them hardly have the personnel to ensure the
day-to-day management of the integration process, from the planning
phases (roadmap, milestones) to the testing and deployment of the
product, along with the necessary maintenance in the aftermath of
implementation. This would certainly lead to delays, increasing the
possibility of errors and benefiting from the expertise of external
vendors or consultants – elements that will further accelerate the
cost curve. The dilemma between needing the most cutting-edge,
bespoke software and the actual budget constraints and the technical
and clinical resource limit represents a frequent scenario that
needs to be balanced and strategically planned to ensure the
successful integration of value-creating applications without
putting the organization at a loss.
User adoption and training are the other significant hurdles to
custom healthcare software development services. Among the most advanced and future-oriented industries,
healthcare can still be burdened by workflows and tools that some
have grown dangerously dependent on. Introducing a new system would
necessarily shift the behavior of healthcare staff. And who wants to
upset this apple cart and adjust to something new? Management teams
might become invested in their current processes, which can make
introducing a new IT system optional at best. Worse, this kind of
resistance can lead to under-implementation, rendering the benefits
of integration virtually null as employees fail to follow processes
or prey on existing gaps in automation for their own shortcuts or
would-be hacks.
Overcoming these challenges requires good training and experience,
but that takes time, and healthcare staff, from physicians to
clerks, often have very little time to spare. Indeed, these staff
are often the most difficult users to train because they sometimes
come from domains where the learning curve is easily flattened by
experience. For example, electronic health record (EHR) system
practice-altering changes take learning time. As one nurse working
on the front lines within the hospital system notes, Physicians and
the IT guys need to talk to each other to find the best applications
for them. It takes longer to learn about the EHR system than it does
with paper, and some clinicians never get to a point of comfort with
it.
A key to avoiding incompatibility problems in integrating health software is ensuring that there are interoperability standards in place. One can use many web standards and other standards to make custom software interoperable with software and hardware already in use, especially within the context of hospitals and the rest of the health infrastructure. For example, HL7, FHIR, and DICOM are web standards for integrating health information. Many other standards related to health information interoperability exist. Complying with these sets a data-exchange architecture for existing incompatible systems, allowing the custom software to recognize and communicate with the existing infrastructure and follow the process of data exchange for which the standards are in place. Adhering to these standards allows health organizations to facilitate easier integration with the legacy systems that are used already to run hospitals and other health facilities, lowering the risk of encountering data silos and helping to ensure a greater level of interoperability between systems. These standards simplify integration and promote more consistency and fewer errors in the data being passed from one system to another, improving patient outcomes by creating clear records for healthcare providers and improving efficiency in carrying out medical treatment and healthcare operations overall.
Custom code integration needs robust security considerations as well. While deciding on custom healthcare software development, healthcare companies must adopt rarefied encryption methods, access controls, and continuous security audits to make it as difficult for hackers to break into their data. Compliance comes into play here, too; HIPAA requires a steady stream of updates to prevent new vulnerabilities regarding data protection. By covering all bases and enforcing safe practices from the get-go, healthcare organizations will be helping manage the risk that comes with custom software integration. Patient data will be better secured at the integration stage and will continue to be secured in the long run.
Complementing data cleansing with upgrades of legacy systems marks another powerful response to integration challenges. Replacing legacy systems with a modern structure can ultimately improve their readiness to share data with new software solutions. Incremental upgrades and workarounds are also viable options for organizations that can’t proceed with a full replacement upfront. Installing a middleware solution can bridge and promote data exchange and communication between old and new systems. This can make all the difference. Healthcare organizations can then be given room to smoothly transition from old technology to new without major disruptions in operations – and improved quality of care for patients.
Good project management increases success chances. A structured approach with set milestones, detailed outreach activities to stakeholders, and risk management enables the integration process to be on track and delivered promptly and cost-effectively. A dedicated project team with clearly defined objectives, roles, and responsibilities can help coordinate the initiative across departments, anticipate the risk areas, and ensure rapid decision-making. Regular updates and an open door approach with all the stakeholders play a key role in addressing stakeholders’ needs and questions and ensure overall confidence in the integration process.
Although the custom solution is technically sound, it may become cumbersome and iffy without appropriate training for all its users. They may not like the new software and their work. As a result, more time may be spent on fixing errors and dealing with disappointed staff and patients. Providing customized training sessions for different groups of users can address the problem. For example, training for medical staff should differ from that provided to administrative workers. Using custom healthcare software development company, like other software development services, should be made as easy as possible by providing hands-on practice, user manuals, and continued support so that staff understand how to use it to the fullest extent to reduce the number of errors. This will, in turn, improve work efficiency and patient care. Through intensive training for software users, healthcare organizations can get the maximum benefit of their custom communications software and make the uptake process smooth.
Modernizing healthcare operations in response to new challenges requires seamless custom software integration with legacy healthcare systems. While this multi-layered, cross-functional problem consists of multiple subproblems – from technical data interoperability to security threats, compatibility with legacy systems to cost constraints, and usability concerns to user adoption – these problems do not represent critical barriers to success. When addressed in terms of compliance with industry standards for data interoperability, replacement of legacy systems, advanced computer security, proper project management, and extensive training of users, the implementation and exploitation of customized software solutions in healthcare can bring healthcare organizations to the brink of delivering more efficient, safe and patient-centered care.
Big data is a high-volume, high-velocity, high-variety, and high-veracity data set created by health care providers, payers, and consumers.