THANK YOU FOR SUBSCRIBING
Weekly Brief
Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Healthcare Tech Outlook
Top 6 Trends to Cure Healthcare Startup Problems in 2019
FREMONT, CA: With the gradual addition of AI, Chatbots, and Robotics in various process of healthcare sector last year, the need for the update has set ablaze innovations. The availability of state-of-art technologies is overriding the risk factors that the legacy institutions are advertising for. The wave of change has hit the industry with latest technologies like health informatics, AI-powered surgery robots, telemedicine, and 3D printed medicines; the healthcare providers have decided to dive deep into sophisticated technologies that make a difference. The top 5 trends recognized to hit the healthcare markets are:
1. IoT Big Data Analytics:
The Internet of Medical Things (IoMT) plays a pivotal role in laying the groundwork for health telematics in the processes such as diagnostics and condition monitoring. The IoMT and Big data Analytics (BDA) have imprinted its marks in the acquisition, storage, retrieval, and health informatics in the industry. With the IoMT BDA paradigm, the current effort to cut down the cost of healthcare services is encouraged, along with increased efficiency in healthcare. There are three critical drivers of IoMT BDA convergence identified as promises of development in the near future. The implementation of technology primarily reduces data congestion and inefficiencies of emergency systems. Second, is the storage solutions of IoMT BDA are handled, as an entire stockpile of IoMT devices produces vast quantities of data are classified into critical and non-critical data, sending the former to fog computing and the latter to centralized cloud systems. The crucial third driver is data abstraction; this feature has assisted development in the emergence of many startups in health applications and systems
Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.
2. Grey Model Approach for Performance Evaluation:
E-Health records and claims systems have simplified the collection of data creating efficient systems in the healthcare industry. The congregation of field level primary data is made, and the accumulated secondary data generates insights on the performance of the healthcare industry. The improved grey model approach analyzes the KPIs of a hospital based on secondary data insights, even though the data is unstructured. The grey model is enhanced to execute processing and predict estimates relative to the quantitative indicators.
These KPIs such as bed turnover rate, bed occupancy rate, the average length of stay, and hospital death rate are observed to qualitatively evaluate the hospital’s performance and enhance patients’ satisfaction and improved profit margin. The grey model approach provides the healthcare managers an empirical basis upon which strategies and analysis can be carried out to reach the goals set and attain a predicted value.
3. Blockchain to Solve Patient-Driven Data Management:
Blockchain technology enacts the role of a platform in the exchange of digital information without a traditional intermediary. The sharing of data requires several points of collaboration among entities. Since inter-working of transactions becomes largely patient-centric, the blockchain technology facilitates the exchange and avails greater control of data to patients.
• Digital access rules: Access to data are controlled, and patients can choose the level of access to provide and the recipients of the data.
• Data immutability: A patient can log in into multiple institutional interfaces and offer the same key and the permission to transfer data securely and privately by pre-determining the accessibility levels of various other parties
• Data liquidity: Highly sensitive clinical data like advanced care planning—code status—can be published into a public blockchain, guaranteeing quick and access to the liquid information.
• Patient identity: Patients can have the freedom to manage their public keys with a wallet or a mobile device by utilizing the public key infrastructure to confirm their identity while retrieval of clinical data from the blockchain.
4. 3D printing for Personalized Medicine:
3D printing has grown substantially since the successful printing of dental implants and prosthetics and has transformed to make personalized medication dosing possible. By adopting this technology of 3D printing fulfills the basic needs of personalization of dosage in medicine at different stages.
3D Printing fulfills the possibility of using various drug layers to obtain a personalized pill for different stages and treats all the conditions of the patient specifically. The effectiveness of 3D printing the medicines has been analyzed to be positive, posing both advantages and risks, later being minimal and can be managed with precautionary measures. A 3D printing powered technology to compound a pharmacy is an innovation that has been envisioned in 2019, It has proven to be economical, and the ambitious goal in the technology is to gain the capability to print living tissues and organs in another decade or two.
5. Telematics and Smart Wearables:
Wireless Sensors, Telematics, and smart wearables are among the few areas that are currently being processed for application in the healthcare industry. The telematics in health informatics has produced implantable body area network systems are that are continually improving the communication systems among healthcare professionals as they are utilized to collect real-time data while monitoring the patient’s stats. The applications of the technologies can be verified in cases of collection of patient information, database generation, connecting to payment gateways for insurance providers, management of cadaver systems, compliance with the legal formalities all form a single platform. The advanced technology is unobtrusive, energy efficient, with a scalable system that provides a comprehensive analysis of the patient.
The smart wearable and implantable wireless body sensors transfer information from the body part to the central station through a wireless sensor. The main station integrates the data which is received and transmits it to a major system or an internet-based application via the same wireless sensor network maintained by a software-defined network (SDN) technology. Here the data is controlled through a software-based application of networking.
6. Telemedicine and AI:
A vast majority of working individuals are expected to have access to telemedicine in 2019. Telemedicine is a contrast to conventional consulting of medical professionals for chronic, preventive, and acute care to improve clinical outcomes. With telemedicine, healthcare access that was previously available only in hospital or clinics will move to the vicinity of the house in the industrialized world. In the developing world with limited infrastructure and facilities, telemedicine will optimize connections among providers, hospitals, and tertiary centers. The advancement of this technology is mainly dependent on three key drivers— human factors, economics, and technology. Healthcare organizations have incorporated the technology by encouraging the synergies between AI and telemedicine. For example, machine learning algorithms are used by doctors to tenuously diagnose, treat, and prescribe medicines for diabetic retinopathy.
With the enhancement of AI and telemedicine, there are more advantages than the conventional use of AI that has been followed in the healthcare industry. The AI-powered telemedicine will provide quicker answers, recommendations of a better quality of diagnosis and medicine for minor cases. Older people and the disabled also benefit from telemedicine, as it offers improved logistics. AI-based telemedicine will also assist doctors and give them a breather to avoid burnouts among professionals.
Check This Out: Top Healthcare Startups
Top MedTech Startups Companies
More in News
A wireless nurse call system connects patients to healthcare personnel swiftly and efficiently, without the need for substantial wiring. It enables patients to request assistance from anywhere in a facility using buttons, wearable devices, or bedside units, while alerting nurses or caregivers immediately on their consoles or mobile devices.
These systems streamline patient care by enabling faster response times, improving staff coordination, and reducing delays in attending to medical or personal needs. Their wireless design makes installation simpler, more flexible, and easier to expand, making them ideal for hospitals, clinics, and eldercare facilities. By combining convenience, speed, and reliability, wireless nurse call systems enhance both patient safety and overall healthcare efficiency.
What Are the Key Benefits of Wireless Nurse Call Systems?
Wireless nurse call systems offer numerous advantages that enhance both patient care and hospital efficiency. Their mobility and flexibility enable staff to receive alerts and respond from anywhere within the facility, making it easier to attend to patient needs quickly. This prompt response, combined with seamless communication, leads to higher patient satisfaction as requests for assistance are addressed without unnecessary delays.
These systems also support better data collection by recording response times, call patterns, and staff activity, providing valuable insights for improving operations and resource management. Cost-effectiveness is another benefit, as wireless setups reduce installation expenses and can be expanded easily without major construction. With improved reliability and faster response times, these systems help increase patient safety, ensuring that medical or personal needs are met promptly and efficiently. Overall, wireless nurse call systems combine convenience, accountability, and protection, making them an essential part of modern healthcare facilities.
What Are the Key Features of Wireless Nurse Call Systems?
Wireless nurse call systems come equipped with features that make patient care more efficient and responsive. One of the notable features is real-time alerts, which instantly notify staff when a patient needs assistance, helping reduce response times and improve overall safety. Various systems include portable or wearable devices for patients, enabling them to request help from any location within the facility, adding flexibility and convenience for both patients and caregivers.
These systems often provide detailed tracking and reporting capabilities, recording response times, call histories, and staff activity to support better management and operational decisions. Integration with other hospital systems, such as mobile devices, intercoms, or monitoring platforms, further enhances communication and coordination. Reliability, ease of installation, and scalability are also important features, allowing healthcare facilities to expand or adjust the system as needs change. Together, these features ensure that wireless nurse call systems deliver timely, efficient, and patient-centered care. ...Read more
Marketing is vital in connecting healthcare providers with patients and enhancing access to essential services. Effective healthcare marketing is crucial in a competitive landscape where numerous hospitals, clinics, and private practices compete for patients' attention. With the emergence of specialized healthcare services and alternative treatment options, patients now have a wider range of choices. By employing marketing strategies such as digital advertising, content marketing, and social media engagement, healthcare organizations can boost brand awareness and ensure that their services are visible to prospective patients.
With an effective marketing strategy, even highly skilled providers may be able to attract patients and build a loyal client base. A local hospital may use targeted digital marketing campaigns to reach patients searching for orthopedic surgery, emphasizing its state-of-the-art facilities and experienced surgeons to stand out from nearby competitors. The most crucial role of healthcare marketing is educating patients about their health and the services available to them. Marketing allows providers to offer accurate, up-to-date information through blogs, videos, newsletters, and social media.
Providing clear and accessible information about conditions, treatments, and preventive care empowers patients to take charge of their health. Healthcare marketing helps bridge the gap between complex medical terminology and patient understanding, making healthcare more approachable and less intimidating. A clinic specializing in diabetes care may run educational webinars or publish blogs that explain the importance of blood sugar monitoring, dietary changes, and medication management, helping patients understand their condition and make better lifestyle choices. Healthcare marketing allows organizations to shape their image and communicate their commitment to patient care.
They foster a sense of reliability and trustworthiness. Consistent engagement with patients through email newsletters, personalized communication, and follow-up reminders can help build long-term loyalty and encourage patients to return for future care. BobiHealth uses technology, data-driven insights, and patient-centered design to support more personalized engagement and information sharing during pregnancy and postpartum care. A pediatric clinic might share testimonials from parents whose children received exceptional care, reinforcing its reputation for compassionate, child-friendly services and encouraging other parents to trust them. With a growing shortage of healthcare workers in many regions, marketing also helps hospitals and clinics communicate their culture and workplace values to potential employees.
iFIT Prosthetics, LLC develops adjustable lower limb prosthetic sockets that support comfort, fit, and clinical care.
Healthcare organizations can attract top talent, from doctors and nurses to administrative staff. Marketing is critical in helping organizations adopt and communicate new technologies. Healthcare marketing helps patients understand and navigate these digital services, ensuring they can access care more efficiently. Marketing facilitates smoother transitions to digital healthcare solutions, making healthcare more accessible and convenient. A medical group offering telehealth services might create an instructional video showing patients how to book virtual consultations and use the video platform, easing any concerns and encouraging the use of telemedicine. ...Read more
Medical billing is rapidly evolving due to technological innovations and a growing focus on the patient experience. Current trends in the field show a shift towards greater efficiency, accuracy, and transparency. Automation and artificial intelligence (AI) are transforming administrative tasks, while patient-centered approaches make billing more understandable and accessible. These advancements streamline healthcare operations and build trust, enabling providers to manage their financial processes more effectively while offering patients more accurate and personalized billing experiences.
Adoption of Automation and Artificial Intelligence
Medical billing is experiencing a substantial transformation due to the increasing use of automation and artificial intelligence. These technologies are streamlining processes that were once time-consuming and prone to human error. Automation allows routine tasks such as claims generation, coding, eligibility checks, and payment posting to be performed more efficiently, reducing administrative overhead and increasing the speed of reimbursement. This shift is helping healthcare providers focus more on patient care while enhancing cash flow and billing accuracy.
AI tools enhance decision-making by analyzing large volumes of billing data to identify patterns, detect anomalies, and predict claim outcomes. These insights help billing teams catch coding errors, avoid denials, and optimize revenue cycle management. Machine learning models, for example, can flag incomplete or incorrect claims before submission, reducing the chances of rejection and accelerating payment. AI also assists in identifying billing trends and compliance issues, making it easier to adapt to evolving regulations and payer requirements.
Integrating AI and automation can improve communication between healthcare providers and insurance companies. Real-time claim status updates, automated reminders and faster appeals can improve the billing experience for both parties. R1 connects patient access, claim preparation, payer interactions and account resolution through shared data and AI-driven decision-making, helping healthcare organizations identify issues and coordinate revenue cycle workflows. These technologies are increasingly integrated with electronic health record systems, supporting the exchange of clinical and billing information. Better-connected systems can help improve submission accuracy and timeliness, potentially reducing reimbursement delays.
Focus on Patient-Centered Billing Practices
A noticeable trend in medical billing is the shift toward patient-centered practices, aimed at improving transparency and reducing confusion. Patients are taking a more active role in their healthcare decisions, including understanding what they owe and why. In response, healthcare providers are adopting tools and strategies that offer clearer, more accessible billing information. Simplified invoices, cost estimators, and online payment portals are becoming standard features to help patients manage their medical expenses.
APCLINIM coordinates medical equipment training, maintains project records, and reviews reports to support communication, documentation, and timely implementation.
Clear communication and upfront cost estimates are helping reduce patient frustration and improve satisfaction. Detailed explanations of charges, insurance coverage, and out-of-pocket costs build trust and encourage timely payments. Flexible payment plans and digital billing options cater to varying financial situations and preferences, making it easier for patients to satisfy their financial obligations.
Medical billing systems are also designed to support multilingual interfaces and accommodate patients with different literacy levels. These inclusive features aim to remove barriers to understanding and ensure patients from all backgrounds can navigate the billing process confidently. ...Read more
Artificial intelligence transforms healthcare by improving diagnostic accuracy, customizing treatment plans, and enhancing operational efficiency. By utilizing predictive analytics and virtual assistance, AI is advancing patient care and optimizing processes within healthcare systems, ultimately leading to better outcomes.
One of the most influential ways AI benefits healthcare is its role in diagnostics. AI algorithms, particularly those that utilize machine learning, can analyze vast datasets and identify patterns that might go unnoticed. In medical fields such as pathology, radiology, and dermatology, AI is improving the accuracy and speed of diagnoses. For instance, AI can analyze medical images with high precision, such as X-rays, MRIs, and CT scans.
AI is also crucial in developing personalized treatment plans. By analyzing extensive patient data, including medical history, genetic information, and lifestyle factors, AI can help healthcare providers craft treatment plans tailored to individual needs.
In oncology, AI tools analyze genetic mutations in cancer cells, helping physicians identify suitable chemotherapy or immunotherapy options based on individual patient profiles. ImagineSoftware provides AI-driven healthcare automation and revenue cycle management solutions that support efficient clinical operations and data-informed workflows. This personalized approach enables more targeted treatment decisions, improves care coordination, and helps reduce potential adverse effects while supporting better patient outcomes.
Predictive analytics powered by AI are aiding healthcare professionals in anticipating potential health problems before they develop into more serious conditions. By examining data from electronic health records, wearables, and genetic information, AI can detect patients at high risk for chronic illnesses such as heart disease, diabetes, and stroke.
Orthoscan develops orthopedic imaging devices that support real-time procedures, surgical precision, and improved clinical decie patient outcomes.
These predictive tools enable early interventions, often preventing the onset of conditions or reducing their severity. Timely detection and proactive management are essential for enhancing long-term health outcomes and decreasing the impact of chronic diseases.
AI-powered virtual health assistants and chatbots are becoming more common in healthcare, providing patients with a more convenient and accessible way to engage with healthcare systems. These AI-driven tools can assist with scheduling appointments, answering health-related questions, and sending medication reminders, improving the patient experience.
In addition, chatbots can serve as initial triage systems, helping to assess symptoms and direct patients to the appropriate care. This reduces the strain on healthcare providers and enables patients to receive timely care.
Creating new medications is lengthy and costly, but AI significantly accelerates this timeline. By analyzing large datasets of biological and chemical information, AI can predict which compounds are most likely effective against a specific disease, speeding up the discovery phase. ...Read more
