Health Technology, Digital Healthcare
Article | August 21, 2023
Embracing the AI Revolution: Transforming Digital Healthcare Software through AI-Enhanced UX Testing
The wave of demographic change sweeping the United States presents an urgent call to action for healthcare providers. According to the US Census Bureau, adults over 65 will account for a quarter of the US population by 2060, signaling a drastic shift in healthcare delivery needs. More than half a million of this demographic will be centenarians, accentuating the need for digital experiences tailored to seniors' unique needs.
Despite the rapid advancement of digital health technologies, research indicates that many senior citizens struggle to adapt. A recent study reported that 40% of adults over 65 believe their telemedicine visit was inferior to traditional in-person care, with a meager 5% finding it superior. The promise of convenience delivered by digital health is often overshadowed by the frustration associated with technical difficulties. An astounding 75% of senior citizens admit they need assistance when using new electronic devices.
Let's consider the patient portal app, a common touchpoint in the digital health journey. Despite its apparent simplicity, seniors find processes like logging in troublesome due to issues like forgotten passwords, technical bugs, or content readability. This scenario underlines the crucial need for comprehensive User Experience (UX) testing to eliminate these barriers and provide a seamless digital health experience.
The Complex Landscape of Healthcare UX Testing
The complexity of UX testing in healthcare has been exacerbated by the interplay of multiple modules, services, platforms, and vendors. Take Electronic Medical Record (EMR) systems, for instance, which undergo frequent updates, each one potentially impacting the system as a whole. Traditional manual testing methodologies are proving to be time-consuming and costly.
Though automation has revolutionized sectors from automotive to finance, the healthcare industry appears to be lagging. A study by the Health Information and Management Systems Society (HIMSS) reveals that a mere 15% of healthcare providers have adopted modern test automation platforms. Meanwhile, a significant 41% still rely on manual testing. As EMR systems grow increasingly complex and customized, this over-reliance on manual testing poses daunting challenges.
The gravity of this issue is amplified by a startling revelation from the HIMSS study - only 6% of healthcare executive leaders express confidence in their organizations' testing practices. In an increasingly digitized healthcare environment, such a low level of assurance raises substantial concerns about patient safety. Although 75% of the surveyed providers have invested in software testing to safeguard their bottom lines, nearly two-thirds confess feeling inadequately resourced in terms of time, money, and talent to meet future testing requirements. As the list of testing demands grows, QA teams are frequently stretched thin, leaving many potential user journey scenarios untested.
The Power of AI in UX Testing for Better Patient Outcomes
AI technologies hold the potential to revolutionize UX testing in healthcare.
The modern healthcare application is a labyrinth of potential user journeys - a typical mobile application model can yield over 9 billion separate scenarios. To effectively navigate this colossal testing landscape, test automation tools employing Machine Learning (ML) algorithms are critical.
By analyzing historical patterns, prioritized cases, and real-user insights, ML algorithms can auto-generate test cases and meticulously scrutinize each user interaction. This approach ensures an optimal digital experience and robust coverage of potential issues.
The HIMSS study also provides a glimmer of hope, revealing that nearly 80% of healthcare providers plan to adopt real-time testing analytics for quality assurance. AI's role becomes pivotal in augmenting the capacity of software testing teams in this scenario.
By leveraging historical patterns and prioritizing test cases, ML-powered testing tools can automate crucial tests across various platforms, devices, and operating systems. This symbiosis of human expertise and AI not only bolsters productivity but enables comprehensive testing coverage within tight time constraints.
The Future of Healthcare Software UX Testing
The path to perfecting a patient’s digital journey is fraught with challenges.
Healthcare organizations venturing into automated software testing or contemplating in-house tool replacement must stay abreast of evolving healthcare testing requirements. This understanding is key when evaluating automation vendors against the backdrop of regulatory standards. Opting for a technology-agnostic solution ensures extensive test coverage, boosts efficiency, and guarantees longevity as technologies advance. Introducing your software QA teams to user-friendly, low/no-code test automation tools can simplify the onboarding process and fosters better collaboration with Dev teams and business testers.
As we stand at the precipice of this transformative period in healthcare, it's clear that the AI revolution holds the key to unlocking the future of digital healthcare UX testing. By harnessing AI's potential, healthcare providers can ensure a user-friendly, seamless digital experience for the fastest-growing demographic, setting new industry standards in the process.
Read More
Health Technology, AI
Article | July 18, 2023
Explore the evolution of healthcare by diving deep into these EHR trends, as they pave the way for the future of EHR. Embrace cutting-edge solutions to enhance patient care and optimize operations.
1. Introduction
2. Significance of EHR Trends
3. Top 10 EHR Trends Shaping the Healthcare Industry
3.1 EHR Interoperability
3.2 Patient-reported Outcome
3.3 Patient Portals
3.4 Generative AI
3.5 Cloud-based EHR
3.6 Voice-enabled EHRs
3.7 Predictive Analytics
3.8 Robotic Process Automation
3.9 Telehealth-EHR Integration
3.10 Blockchain for EHR Data Integrity
4. Future Scope
1. Introduction
Electronic health records (EHRs) have transformed the medical industry by revolutionizing how medical information is recorded, accessed, and utilized. This article focuses on the EHR trends and innovations that have reshaped the healthcare field, paving the way for a more efficient and patient-centric future.From enhanced interoperability to cutting-edge technologies, professionals can unravel the key trends propelling future of EHR toward a new era of healthcare delivery.
2. Significance of EHR Trends
The importance of EHR software technology trends is highlighted by their transformative influence on the healthcare sector. This transformation was further expedited by the impact of the COVID-19 pandemic, which played a critical role in the increased adoption of telehealth services. As the pandemic necessitated alternatives to in-person visits, the demand for efficient and remote medical services surged, propelling telehealth to the forefront. Yet, looking beyond pandemic responses, the ongoing adoption of EHR trends in healthcare can significantly reshape how healthcare functions. Embracing these EHR trends enhances efficiency, facilitates personalized care, improves data exchange, drives data-driven insights, and empowers patient engagement. Irrespective of global events, it remains essential for healthcare facilities to stay abreast of these trends to remain adaptable and deliver optimized care, ultimately benefiting both providers and patients.
3. Top 10 EHR Trends Shaping the Healthcare Industry
Recognizing significant industry trends becomes crucial in a field that is constantly subject to technological advancement and global change. From adopting advanced technologies to prioritizing sustainability and customer-centric approaches, these EHR trends hold the power to bring about significant transformations across the healthcare sector.
3.1 EHR Interoperability
EMRs face a notable limitation in their ability to integrate with other systems, whereas EHRs offer robust interoperability, enabling seamless data exchange among healthcare facilities. As the demand for interoperability grows, the distinction between EMRs and EHRs becomes increasingly blurred, with vendors referring to products as EMRs that closely resemble what was initially known as EHRs. In response to this trend, developers and IT specialists continually update EHR systems to comply with interoperability policies, making EHRs more appealing for organizations seeking comprehensive and connected healthcare records.
3.2 Patient-reported Outcome
Patient-reported outcome or PRO EHR integration involves incorporating patient-reported outcome measures into electronic health record systems. PROs gather information directly from patient records about their health status, symptoms, and quality of life. These insights provide valuable subjective data for healthcare providers. For orthopedic patients at the clinic, completing surveys on their smartphones via a mobile link is easy. Clinicians can access patient responses during or after appointments to offer tailored care recommendations based on survey readings. Access to patient-reported outcome data empowers clinicians to deliver patient-centered care, fostering greater patient involvement in their treatment journey.
3.3 Patient Portals
Patient portals in EHRs are pivotal in modern healthcare practices as the industry embraces digital transformation. Patient portals within EHR systems are crucial to empowering individuals and facilitating communication between patients and healthcare professionals. These portals enable patients to access their personal health information securely. Patients can schedule appointments, ask questions, and even have virtual consultations, making healthcare more accessible and patient-centered. With improved communication and engagement, patient portals bridge the gap between individuals and healthcare professionals.
3.4 Generative AI
Integrating generative AI tools with Electronic Health Record systems holds immense promise for advancing healthcare industry. Generative AI can significantly enhance EHR software precision and overall technology, resulting in streamlined daily workflows and enabling healthcare providers to prioritize patient care. By utilizing patterns and structures from existing data to create new content resembling the training data, generative AI brings valuable improvements to EHR systems. These benefits include efficiently filling in missing data, enhancing clinical decision support, automating documentation and coding processes, and ensuring billing accuracy, thereby alleviating the burden on healthcare providers.
3.5 Cloud-based EHR
Cloud computing is gaining traction as medical organizations explore the benefits of outsourcing administrative and clinical services, including medical billing, reporting, lab integration, and more. With the increasing adoption of EHR systems, the advantages of easy access to patient data have become crucial. As the patient population continues to grow, the complexity of data rises, demanding solutions that ensure secure storage and accessibility. Embracing cloud-based infrastructure becomes imperative in this scenario, granting healthcare professionals the flexibility to access data using tablets or smartphones safely. This integration empowers clinicians to enhance their productivity in the clinical environment, laying the groundwork for long-term success by offering mobility solutions that cater to evolving healthcare demands.
3.6 Voice-enabled EHRs
Integrating voice recognition technology with EHR systems is a significant advancement for clinicians. By allowing hands-free input of information and patient data, voice recognition technology reduces inaccuracies and speeds up information recording. Additionally, with the support of AI, EHRs equipped with voice recognition can assist doctors in recognizing historical patient trends and making accurate diagnoses. As companies strive to incorporate AI into EHRs through voice-enabled technology, physicians can effortlessly access patient data and inquire about specific health parameters, such as the last recorded iron levels from a blood test. This streamlined approach improves efficiency and enhances the overall healthcare experience and decision-making process.
3.7 Predictive Analytics
Predictive analytics applications have become a significant driving force within the healthcare industry, yielding profound impacts on diverse areas, including cancer treatments and emergency staffing optimization. As the field continues to evolve, the adoption of predictive analytics technology is expected to expand further. Specialized healthcare app development services utilize AI-powered analytic methods, such as statistics, data mining, and modeling, in conjunction with AI capabilities to offer clinical outcome predictions based on real-time device data and electronic health records. This integration aims to elevate the patient experience and improve care delivery, equipping healthcare professionals with valuable insights to make more informed and proactive care decisions.
3.8 Robotic Process Automation
Robotic Process Automation (RPA) is driving the expansion of the automated data capture market for electronic health records worldwide, owing to its ability to enhance workflows and ensure increased accuracy. By automating data capture through robot-based processes, RPA eliminates the need for manual data entry, leading to improved precision. In the healthcare industry, RPA serves as an effective technique to address EHR flaws without requiring a complete system redesign, permitting the utilization of digital labor to preserve efficient processes while resolving underlying issues. By employing system algorithms and programs, RPAs efficiently automate tasks typically carried out by human resources, accelerating the digitization of medical facilities and promptly addressing imperfections.
3.9 Telehealth-EHR Integration
Integrating EHR systems with telehealth platforms revolutionizes healthcare by facilitating remote care and streamlining clinical workflows. This alliance will enable medical organizations to deliver high-quality patient care from a distance while ensuring the swift and secure transfer of patient information between systems and interfaces. The combined power of telehealth and EMR systems enhances virtual care activities, automates data entries, and synchronizes insurance information in a single window, thus optimizing efficiency and productivity for healthcare providers and their staff. Moreover, this integration strengthens patient-physician engagement and fosters seamless collaboration among healthcare teams.
3.10 Blockchain for EHR Data Integrity
While blockchain technology gained prominence through its association with cryptocurrency, its application in healthcare is steadily gaining momentum. By utilizing cryptography, blockchain ensures the utmost security and integrity of EHR data, limiting access to authorized individuals only. In healthcare, blockchain brings value, from validating clinical trials and verifying claim results to monitoring medicine distribution, authenticating prescriptions, and combating insurance fraud. Additionally, smart contracts leverage blockchain to automate actions based on predetermined outcomes, reducing the need for extensive human involvement. Although the adoption of blockchain in healthcare technology is still in its early stages, several EHR systems have already incorporated it to enhance security, scalability, and confidentiality measures.
4. Future Scope
The convergence of IoT devices and big data technology is set to revolutionize the healthcare experience, offering unprecedented digitization and patient engagement. The disruptions brought on by the COVID-19 pandemic have underscored the need for healthcare institutions to adapt and embrace technological advancements. Careful selection of the right EHR system is crucial for healthcare organizations, and a structured approach that involves key stakeholders, requirements definition, vendor evaluation, and implementation planning is essential for successful EHR implementations. The ultimate goal remains to enhance patient care, streamline workflows, and achieve operational efficiencies. While EHRs have already made significant strides in the industry, the future of electronic health records holds even more excellent benefits and technological impact, with healthcare mobile app developers playing a vital role in the value-based healthcare model and preparing for EHR optimization.
Read More
Digital Healthcare
Article | November 29, 2023
Do you know a friend or loved one who suffers from fear, anxiety, and depression and do not know what to do to help them?
It can be frustrating to watch someone you know struggle with their mental health and not be able to do anything to relieve their suffering.
With this in mind, here are seven ways to help the person cope in these kinds of situations.
1. Learn as much as you can in managing anxiety and depression: There are many books and information that will educate you on how to successfully overcome fear and anxiety. Share this information with the individual who is struggling with their fears. The key is to get your friend to understand how important it is to seek some guidance when it comes to their mental health.
2. Be understanding and patient with the person struggling with their fears: Maintaining depression and anxiety can be difficult for the individual so do not add more problems than what is already there. Do not get into arguments with your friend who may be having a difficult time with their anxieties. Make an effort to listen to the person rather than making judgements.
3. Talk to the person instead of talking at them: It is important not to lecture the individual who’s having a hard time with anxiety and depression. Talk to the person about their issues without being rude. Most people will listen if you approach them in a proper manner. Remember to treat others the way you would want to be treated if you were the one who was struggling.
4. Ask for some ideas: Seek advice from a professional who can assist the person you know with their mental health issues. A counsellor can give you some ideas on how to overcome anxiety, fear, and depression. Getting help from a therapist is the number one priority in getting the individual to do something about their problems.
5. Find out why the person won’t get assistance: Address the issues on why he or she will not seek treatment. Many people who are struggling are fearful and frustrated. Try to find out the reasons why your friend won’t get the help they need and then try to find the ways that will overcome their resistance of seeking some guidance.
6. Remind the person on the consequences of not getting help: Another way to convince the individual who is struggling with fear and depression is to tell them what may happen if they don’t get some counselling. Anxiety and depression can make things worse and usually won’t go away by themselves.
7. You can’t manage your mental health all by yourself: A person’s fears and anxieties can be difficult to manage and more than likely he or she will need some help. Many people think that they can overcome their mental health problems on their own. This is a mistake. The individual should admit they have a problem and then seek treatment to get their life back on track.
Read More
Digital Healthcare
Article | November 29, 2023
The healthcare industry has become a prime target for cybercriminals in recent times.
According to The State of Ransomware in Healthcare 2023 report from Sophos, six in 10 healthcare organizations have been hit by ransomware in the last 12 months, up from 34% in 2021.
Among this uptick have been several headline-grabbing attacks. For example, Shields Health Care Group became the subject of the single-largest breach affecting any organization globally in April 2023, when 2.3 million patients of the Massachusetts-based medical services provider had their personal data stolen after a cybercriminal gained unauthorized access to the organization’s systems.
Meanwhile, in the UK, a ransomware attack on the University of Manchester occurred in June, affecting an NHS patient data set holding information on 1.1 million patients across 200 hospitals.
Critically, the wealth of data housed in healthcare networks, and the potential impact of data unavailability in healthcare, make the industry both attractive and lucrative to threat actors.
It’s no coincidence that the Sophos report shows the rate of encryption in the healthcare sector is at its highest level in recent years. Of those healthcare organizations which suffered a ransomware attack in 2023, 73% had their data encrypted – up from 61% in 2022. When cybercriminals can successfully take down hospital systems and/or encrypt patient data so it can’t be used, they can blackmail health service providers, demanding significant sums before reinstating systems and/or data availability.
Considering healthcare's critical role as the highest-stake industry in our society, where people's lives depend on its success, the likelihood of attackers achieving their goals is greater than in other sectors, as confirmed by the Sophos report. Indeed, of the 73% of healthcare organizations that had their data encrypted, 42% reported that they paid the requested ransom to recover data.
DSPT and the compliance burden
Without question, the security-related challenges in healthcare are mounting. Right now, industry organizations are operating against a backdrop of unprecedented operational and workforce pressures, spiralling demand for care and industrial action.
Moreover, there is a growing regulatory burden, with organizations continually asked to comply with evolving cybersecurity rules, battling with multiple compliance mandates at any given time.
Take the NHS as an example. According to the 2023 NHS Providers’ Regulation Survey, just over half (52%) of respondents said the regulatory burden on their trust had increased. And this is expected to ramp up further in the future, with the UK government setting out a new 2030 strategy aimed at bolstering cyber resilience in healthcare.
Among the compliance burdens that the NHS faces is the challenge of meeting the requirements of the newly updated Data Security and Protection Toolkit (DSPT).
Mandated to minimize cyber risks and enable healthcare providers to maintain a robust information security posture, the DSPT is not a simple checklist of security controls, but a comprehensive toolkit to evaluate current security maturity and establish a risk management programme.
Indeed, in more recent times, DSPT has moved away from being a guide for achieving certain levels of assurance, and toward a mandatory evidence-based system which demands NHS organizations align with 10 precise National Data Guardian (NDG) standards: 1. The organization assures good management and maintenance of identity and access control for its networks and information systems. 2. The organization closely manages privileged user access to networks and information systems supporting essential services. 3. The organization ensures passwords are suitable for the information being protected. 4. Process reviews are held at least once a year where data security is put at risk and following security incidents. 5. Action is taken to address problems as a result of feedback at meetings. 6. All user devices are subject to anti-virus protections, while email services benefit from spam filtering and protection deployed at the corporate gateway. 7. Action is taken on known vulnerabilities based on advice from NHS Digital, and lessons are learned from previous incidents and near misses. 8. The organization has a defined, planned and communicated response to data security incidents impacting sensitive information or key operational services. 9. The organization has demonstrable confidence in the effectiveness of the security of technology, people, and processes relevant to essential services. 10. The organization securely configures the network and information systems that support the delivery of essential services.
Reducing Compliance Challenges with the Right Solutions
Taken individually, these standards may not seem too strenuous to adhere to. However, to be compliant with DSPT, all 10 items need to be completed and deemed ‘satisfactory’.
To tick all 10 key boxes in the most effective and efficient manner simultaneously, organizations should consider their strategy carefully. This could involve embracing supportive tools to accelerate and enhance their compliance journey.
Boiled down, DSPT demands several key things, including unincumbered visibility of the entire ecosystem, as well as the ability to demonstrate secure access, logs and storage, and essential auditing processes to maintain data security.
Achieving these things might appear complicated, even daunting. However, there are solutions known as Security Information and Event Management (SIEM) systems on the market that can make achieving these capabilities, and in turn DSPT compliance, easy.
Here, we outline some of the key features to look out for to meet compliance: • Log retention: A modern SIEM should be able to provide a centralized log storage and big data platform that scales to any organization’s size. Platforms should be able to provide role-based access to log data, including ‘data privacy’ functionality that can mask sensitive data until approved. Log data should not be modified or removed by users once ingested into the platform, while all data held should also be indexed and fully searchable. • Identifying and disabling unnecessary accounts: A good SIEM will also provide account auditing facilities for Active Directory that allow administrators to quickly identify dormant accounts. They should also be able to remove privileged user access when no longer required or appropriate. More sophisticated platforms will be able to do this in an automated manner. • Easy identification of issues: Clear and easily readable dashboards, alerts and reports for user logging activity should be provided, including failed login, apparent brute-force attempts, and bad password management practices. Further, those using machine learning will be able to identify unusual behavior patterns based on a baseline of activities of users and their peer group. • Integrate with third-party threat feeds: It will also be able to integrate with a wide variety of third-party threat feeds that provide information about specific known threat payloads/hashes and destination domains/addresses.
Meeting the mandate
Of course, having the right features in place is only part of the puzzle. For organizations to be truly successful in embracing tools that enable them to meet DSPT compliance more effectively, they should work to ensure that solutions providers offer them ongoing support – both in terms of ease of deployment and to ensure that they are using key systems in an optimal manner.
Scalability is another important aspect to consider.
Systems should be able to scale and continue to support the organization as data volumes increase and become more complex over time.
In respect of scalability, organizations should take time to think about pricing models, ensuring that these are based on the number of devices (nodes). In doing so, it will become easier to accurately budget future costs, as well as provide greater budgeting certainty over the short, medium and longer term.
A converged SIEM allows organizations to prioritize the big picture over individual tools, enabling them to develop a seamless and easy to use security operations setup. Not only does this approach boost cost transparency and eliminate potential complexities with managing a variety of siloed products – equally, it reduces the burdens on security teams, eliminating complexities over system integration and enhancing performance.
A converged SIEM combines key technologies easily to offer improved security outcomes. In doing so, organizations can easily home in on specific standards and adopt security best practices while reducing the burden on security teams tasked with meeting DSPT compliance.
Read More