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
Artificial intelligence (AI) enhances precision, efficiency, and accessibility in medical practices. From personalized treatment plans to advanced diagnostics and robotic surgery, AI is at the forefront of innovations reshaping healthcare delivery. One of the most significant advancements in healthcare influenced by AI is personalized medicine. This approach designs treatment plans to align with an individual's genetic makeup, lifestyle, and environmental factors.
By processing vast datasets from sources like genetic tests, electronic health records, and wearable devices, AI can identify crucial patterns that predict a patient's response to various therapies. For instance, AI algorithms can sift through genomic data to uncover mutations or genetic predispositions to specific diseases. This information allows healthcare providers to recommend targeted therapies that promise to be more effective and have fewer side effects; as healthcare shifts towards this precision medicine model, the potential for improved patient outcomes becomes increasingly evident.
Enhanced Diagnostic Accuracy: Detecting Conditions
Early AI's potential to improve diagnostic accuracy is perhaps its most immediate impact on healthcare. Thanks to machine learning algorithms, systems can identify patterns within complex datasets, particularly in medical imaging. Solutions from Zanda Health enable providers to leverage data-driven insights that support more accurate analysis of imaging outputs and clinical records. These technologies analyze X-rays, MRIs, and CT scans to detect conditions such as tumors, fractures, or early-stage diseases like cancer and Alzheimer’s, often with greater accuracy than human practitioners.
Identifying subtle patterns that may evade the human eye facilitates earlier diagnoses, significantly boosting survival rates and enhancing treatment outcomes. As AI technology advances, diagnostic tools' reliability is expected to improve, enabling them to detect an even wider array of medical conditions with exceptional precision.
Monogram Health enhances patient outcomes through data-driven care models that improve treatment precision and long-term disease management.
Robotic Surgery: The Next Frontier in Healthcare
AI is also making surgical waves by introducing robotic systems that assist surgeons. This innovative approach leads to less invasive procedures, reducing recovery times and minimizing the likelihood of human error. Robotic surgery harnesses AI to analyze medical images, support decision-making processes, and precisely guide surgical instruments. Integrating AI into surgical robotics opens doors to even more sophisticated capabilities, including autonomous surgeries and remote operations conducted by expert surgeons from around the globe. This technology revolutionizes how surgeries are performed and addresses the growing shortage of healthcare professionals by enabling them to focus on more complex tasks. ...Read more
AI grief support and wellness platforms are becoming valuable components of modern emotional care ecosystems. By combining accessibility, personalization, wellness resources, and advanced technologies, these platforms help individuals navigate challenging life experiences while supporting long-term emotional wellbeing. As demand for accessible and flexible wellness solutions continues to grow, AI-powered support platforms are expected to play an increasingly important role in promoting resilience, healing, and overall quality of life.
Expanding Emotional Support through Intelligent Digital Wellness Solutions
AI grief support and wellness platforms aim to offer people supportive resources at their fingertips when they need them. Digital platforms can provide access to guidance and wellness resources at any time, and anywhere, which is not possible with traditional support services, which might be limited by schedule or location. This can be especially helpful for those who aren't ready to reach out for face-to-face help or need extra interventions beyond the sessions. With the help of AI, these platforms can customize support to meet individual needs and preferences.
AI can't take the place of professional mental health services, but it can create a safe, nonjudgmental environment for people to freely discuss their thoughts and emotions, at any time of day. Some users find that the instant support option, when emotional situations become difficult, is helpful. The platform's wellness tracking features add to its effectiveness. Individuals can track their mood trends, sleep quality, stress levels, and emotional health over time. These insights assist individuals to become aware of trends and begin to understand grief in various areas.
Greater self-awareness can facilitate better coping mechanisms and more knowledge about wellness. Another asset of AI grief support platforms is educational resources. People in bereavement may want to know about the nature of grief processes, emotional reactions and coping. Practical information and normalization of emotional experiences during difficult times can be achieved using digital libraries, guided programs and interactive learning tools.
Enhancing Personalized Care through Advanced Artificial Intelligence Technologies
Patterns in user behavior can be learnt and recommendations can be adjusted according to the evolving emotional needs. This dynamic way of providing support means that it is relevant at each stage of the grief journey. With the help of NLP, a platform can better grasp user communication and offer more relevant answers. AI can identify the emotional cues and communication patterns in a text message and recommend relevant resources and wellness exercises to the user. These capabilities contribute to establishing more individual and supportive interactions.
Individualized wellness initiatives are aiding individuals in creating habits that promote emotional strength. Meditation exercises, breathing techniques, physical activity suggestions, practicing gratitude or sleep improvement can be recommended to the platform depending on the individual's preferences and goals. These comprehensive methods acknowledge that emotional wellbeing is related to all-encompassing health and lifestyle factors. Platform capabilities are growing, with integration with wearable devices and digital health technologies.
Data from activity level, sleep cycles, heart rate variability and other wellness measures can give further context to the personalized recommendations. This wider understanding of wellbeing enables platforms to support their users in a more comprehensive way. AI technologies also enhance accessibility, such as providing multiple communication formats and languages. Text-based interactions, voice support features, guided audio content, and mobile applications support people's needs, making it easier for them to receive it in a way that is most appropriate for them and their situations.
Supporting Long-Term Wellness through Integrated Digital Care Strategies
AI grief platforms are now not only helping with immediate emotional or psychological support, but also providing long-term grief care, promoting a sense of wellbeing, and enhancing resilience. A lot of people have emotional problems long after they have suffered a loss or a significant life change. Access to wellness resources on an ongoing basis may be helpful for recovery, personal growth and emotional adaptation over time. There is a growing significance of integrated care models in digital wellness ecosystems.
AI tools can support the existing efforts of counselors, therapists, wellness coaches and health care providers by offering extra help between sessions. This coordinated strategy offers people the opportunity to experience the professionals' knowledge, as well as ongoing digital interaction. These community-building elements are also contributing to supportive environments.
Peer support groups, shared wellness activities, and community discussions can help to minimize feelings of isolation and foster connection with others who have had similar experiences. Social support is still a crucial component of emotional wellbeing, and digital spaces can enable meaningful engagement in safe and structured ways. Emotional wellness support is starting to be taken seriously by organizations as part of a workplace wellbeing program. Comprehensive digital resources that foster mental health and resilience can provide employees with confidential support and information during periods of grief and in cases of major personal difficulties.
AI wellness platforms can assist organizations in bolstering their employee support programs and fostering a healthy work environment. The issue of data security and privacy continues to be significant for those providers in this field. People in need of emotional help need to know their personal data is treated properly and securely. Effective privacy policies, robust frameworks, and secure tech enable trust and safeguard sensitive user data. ...Read more
During the peak of the COVID-19 pandemic, pharmacies became a crucial part of the healthcare system and were often the first place people sought help for their health and wellness needs as they fought the virus. To address the increasing demands of patients during this critical time, pharmacies expanded their services. They offered a variety of options, including vaccinations, preventive medications, expert advice, medical equipment, nutritional supplements, diagnostic services, drive-through options, online shipments, and virtual primary care.
Many things have changed for pharmacies in a short period, and they are now under more pressure to reduce their share of healthcare costs. When costs are reduced, pharmacy and healthcare provider revenues and reimbursements are reduced.
The following are the primary trends that will shape the future of pharmacy:
Pharmacies will transform into Wellness Centers
Inequalities exist in access, cost, and quality of care, making navigating health care in the US incredibly challenging. As technology advances, the focus will be on increasing client satisfaction, streamlining access to care, and increasing efficiency.
Pharmacies will try to broaden their service offerings beyond only selling prescription drugs to give their clients comprehensive, individualized treatment. By offering convenient primary care services in their communities, pharmacies help lessen the strain on emergency rooms.
In the future, pharmacists will be crucial in offering mental health care services, including screenings, education, and preventive care, since the significance of mental health will only grow. As a result, pharmacies will develop into wellness hubs, similar to one-stop shops that provide customized services like wellness packages, preventive care, community outreach, and physical and mental health care.
Elevated Roles of Pharmacists and Technicians
Most pharmacists are qualified to offer various health care services in addition to prescription drug dispensing. In addition to providing counseling to help manage medical issues, they are skilled and knowledgeable to advise patients on drug and therapy choices.
However, distributing prescription medications and managing regulatory paperwork—tasks that are increasingly being automated—continue to consume a significant portion of a pharmacist’s time and energy. In this context, NYM demonstrates how healthcare technology solutions can streamline operations and reduce administrative burden in pharmacy environments. Pharmacy employees have also faced sustained pressure and stress following the demands of the recent pandemic, further underscoring the need for operational efficiency.
Transformative Role of Precision Medicine
In the long run, precision medicine and illness treatment based on personal genomic information and DNA will enable more precise diagnosis techniques, lower the possibility of adverse drug events, and save healthcare expenses. Over the next five years, biosimilars will rise dramatically, potentially saving billions of dollars in medical costs.
iFIT Prosthetics LLC develops precision solutions supporting healthcare efficiency and improving patient care outcomes across evolving medical environments
Pharmacy Management Companies are already setting up training facilities for hospitals and clinics to distribute these drugs. To encourage the adoption of biosimilars, pharmaceutical companies are employing cost-control strategies like step treatment and prior authorization. Major participants in the health care system will undoubtedly try to take advantage of this area in the not-too-distant future since it offers them a substantial opportunity. ...Read more
Optical imaging is becoming increasingly important in modern medical diagnostics and treatment, offering non-invasive and precise methods for visualizing the body's internal structures. Recent advancements in optical imaging technologies have significantly enhanced clinicians' ability to identify, diagnose, and manage various diseases. These improvements are transforming fields such as oncology, neurology, ophthalmology, and cardiology. One notable imaging technique used in ophthalmology is optical coherence tomography (OCT), which produces high-resolution, cross-sectional images of the retina.
Recent developments have expanded the application of OCT beyond the eye. Swept-source OCT, for instance, improves imaging depth and speed, allowing clinicians to visualize deeper structures with higher clarity, such as in cardiovascular and dermatological imaging. OCT angiography (OCTA) is another breakthrough that enables non-invasive imaging of blood vessels. It allows for detecting vascular changes without needing dye injections, which is particularly valuable for identifying early-stage conditions such as diabetic retinopathy and age-related macular degeneration. Intravascular OCT is used to visualize coronary arteries, helping diagnose atherosclerosis and guiding stent placement with unparalleled accuracy.
The method is beneficial for visualizing oxygen levels in blood and assessing tumor hypoxia, an important factor in cancer progression. Unlike traditional fluorescence microscopy, it enables imaging of living tissues with minimal damage. In this context, Hospital Pricing Specialists underscores how advanced healthcare solutions support improved diagnostic precision and patient outcomes. It is instrumental in neurobiology and dermatology, where understanding cellular dynamics in real time can enhance diagnosis and treatment strategies. The technology is enabling researchers and clinicians to study cellular mechanisms of diseases such as cancer and Alzheimer’s with greater clarity and detail.
Diffuse optical imaging (DOI) and functional near-infrared spectroscopy (fNIRS) are non-invasive imaging techniques that use light to monitor tissue oxygenation and blood flow. DOI is increasingly used in brain imaging to study cerebral blood flow and oxygenation, providing insights into brain activity, neurodevelopmental disorders, and brain injuries. It allows real-time brain function monitoring by measuring hemodynamic responses to neural activity. Recent advances have improved its spatial resolution and portability, making it a practical option for studying brain function in clinical and non-clinical settings, such as during cognitive tasks or rehabilitation therapies.
CPAP Services supports patient outcomes by enhancing treatment efficiency and improving healthcare delivery across respiratory care environments
Endomicroscopy is an emerging field that combines endoscopy with microscopy to allow real-time imaging of tissues at the cellular level during procedures. The technology lets clinicians view cellular details in vivo without needing biopsy or tissue removal, speeding up the diagnostic process. Confocal laser endomicroscopy (CLE) is a specific type of endomicroscopy that has gained significant attention, particularly in gastrointestinal procedures. CLE can detect early-stage cancers, polyps, and other abnormalities with high precision.
Hyperspectral imaging, which captures images across a broad spectrum of light wavelengths, has made significant strides in medical diagnostics. The technology enables the differentiation of tissues based on their spectral signatures, making it useful for detecting early-stage cancers, wound assessment, and monitoring tissue oxygenation levels. Hyperspectral imaging can identify malignant tissues by analyzing subtle differences in tissue composition that are invisible to the human eye. Its non-invasive nature and high sensitivity make it a promising tool for intraoperative decision-making, helping surgeons differentiate between healthy and cancerous tissues more accurately. ...Read more
