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Kfar Saba, Israel
1-10 Employees
2022
SP Clinical Studies & Healthcare Data (SPCS) was established to provide medical device start-up companies and other healthcare innovative enterprises with the experienced support they need for all their clinical and scientific research activities required for product development. Shiri is a biomedical engineer with more than 15 years of experience in the medical device industry, leading global, complex clinical studies both for PMA and 510K medical devices, at all stages of the product development process. A veteran in the demanding start-up environment, Shiri offers clients vast experience in the diverse aspects of the medical device development and healthcare data worlds, including the challenges, pitfalls and requirements needed to be successful. SP Clinical Studies & Healthcare Data (SPCS) was established by Shiri Pendler to provide health tech start-up companies and innovative corporations with the professional expertise needed to navigate the entire process of clinical research for medical device development – from conceptualization to commercialization. Shiri is a biomedical engineer with more than 15 years of experience in the medical device industry.
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SP Clinical Studies and Healthcare Data
... SPCS (SP Clinical Studies & Healthcare Data) specializes in managing and implementing research strategy, including planning, designing and executing all types of clinical studies throughout the product lifecycle - from conceptualization and feasibility, through product development, to ...
Malvern, United States
1-10 Employees
2013
Our innovative and experienced staff have helped us earn a large market share in what was an established industry. We have what is necessary to deliver accurate results on time and within budget. Charter Oak Field Services delivered results on time and within budget in a tough market segment….we could not be more pleased. From the design stage through data delivery, Charter Oak Field Services excels at online quantitative market research and data collection. We can program, host and recruit for your online research or we can simply provide you with sample from our panel of Physicians, Pharmacists, Nurse Practitioners, Physician Assistants, Lab Directors, Hospital Executives and many other titles. From recruiting to analysis – Charter Oak can provide a full range of qualitative services. Our large panel provides a broad selection pool which allows us to screen many respondents very quickly. Allow our many years of experience to serve you in obtaining key findings to support your client recommendations.
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Healthcare Data Collection Experts – Healthcare Data Collection Experts
... Healthcare Data Collection ...
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Platform — PhD — Precision Healthcare Data
... Platform — PhD — Precision Healthcare Data ...
Bangkok, Thailand
101-250 Employees
2017
We are open sourcing our data ecosystem for global adoptions and trust establishment in protocols. Ever Medical Technologies was founded in Bangkok, Thailand built on the simple notion that for far too long, the world’s medical landscape has been held back by data siloed and legacy technologies that prevent data-driven innovation. Ever’s team of pioneers are committed to endlessly pushing the boundaries of modern healthcare, bringing cutting-edge technologies and state-of-the-art solutions to the medical world. Jiang has had an extended career in the field of technology, leading companies around the world to critical acclaim and success. Niels has pushed the boundaries of leading by example as Vice President and Managing director of Lyondell Basell, President and CEO of HMC Polymers Co., Ltd, and currently leads Moneta Equity Partners as its co-founder and Managing Partner. David is the co-founder and Vice Chairman of Amity - a multinational enterprise SaaS company headquartered in London. Over 10million users have used products built by him, including systems that are capable of handling millions of messages per second. Kanokvalee has over 30 years of experience in consulting, investment, and financial advisory.
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Bridging All Dimensions towards Empowering Healthcare Data.
... Bridging All Dimensions towards Empowering Healthcare Data. ...
Red Bank, United States
1-10 Employees
2020
We provide proprietary healthcare technology systems to guide front-line clinicians and first responders through medical protocols and procedures for greater quality of care. Our goal is to link patient data in the field with the health systems for greater medical outcomes. We are experienced digital transformation technology innovators who also have over 40 years of emergency medical services experience. We're experienced emergency medical clinicians and data experts committed to improve the healthcare system with the most innovative technology while keeping patient care at the center.
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Connecting front-line healthcare real-time data
... Medical interactions in the field communicate real-time data to healthcare systems. ...
South Cambridgeshire, United Kingdom
1-10 Employees
With innovative solutions PurpleXtra make accessing the right healthcare market information simple and straightforward. PurpleXtra gives your team the data-driven insights they need to make informed decisions and drive your business forward.By combining data from multiple sources and applying advanced analytics, you gain a clear picture of your market and understand the forces that are shaping it. PurpleXtra helps you direct marketing efforts that are targeted, accurate and efficient. The PurpleXtra dashboard allows you to extract the data you need in seconds. Based on your requirements, PurpleXtra consultants will produce a detailed. PurpleXtra can provide all or part of our databases for use in your own applications. Our platform and processes are designed from the ground up to provide reliable and accurate information that is always up-to-date. That's why our team have built a reputation for providing reliable, high impact solutions to help companies take advantage.
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Healthcare data to drive decisions
... PurpleXtra | Hospital Healthcare Data ...
Atlanta, United States
11-50 Employees
2017
Mitivate was founded in 2018 – driven by a passion for more accessible, high-quality healthcare. Mitivate gives healthcare and healthcare plan providers access to real-time, clinically-generated data. Mitivate evaluates patient, claims, and other clinically-generated data so providers can identify crucial variations, resolve financial inefficiencies, and offer higher quality service. Mitivate leverages real-time data and value-based methodologies alongside high-quality healthcare data analysis in order to create the best possible outcome for both parties. Our SaaS platform makes healthcare data management easy, improving how providers evaluate patient claims and other data and save on payment costs by streamlining healthcare payment models. By leveraging value-based payment methodologies, we help providers develop and/or maintain new, value-based payment models, incorporate best practices, and provide underrepresented individuals with access to high-quality, affordable medical care. A product for the exchange of data sources for clinical and financial efficiencies. An offering to facilitate value-based care reimbursement methodologies.
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Mitivate is your end-to-end healthcare data management solution
... Mitivate is your end-to-end healthcare data management ...
Fremont, United States
11-50 Employees
2018
We are on a mission to help the healthcare industry provide better care through better insights & interoperability. The CYBX Platform allows healthcare companies gain a single view of the truth, and a single point from which to manage security and governance protocols, while leaving all of the source data in its original location. Even when the source data is moved, the CYBX data virtualization layer manages such complexities on behalf of the user and any consuming applications, providing real-time access to integrated data, regardless of its location. Over the past 20 years our team members have worked with multiple healthcare and life sciences organizations on three continents on projects ranging from strategy consulting to technology selection and solution implementation.
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Healthcare data interoperability made for the future.
... Healthcare data interoperability made for the future. ...
1-10 Employees
Firstlook offers a suite of tools across revenue cycle management and value based care operations that seamlessly integrate into provider and payor workflows. Firstlook is built on the foundation that partnerships are based on trust, reliability and value. Expectations are continually exceeded and we are looking forward to doing more great things together." - Patrick Kelly, CTO, MPOWERHealth. The Readmissions Reduction AI App identifies which patients will likely readmit and provide interventions to prevent COPD, CHF and AKI readmissions. Our committment to our partners is delivering to exceed expectations.
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Put your healthcare data to work
... Put your healthcare data to ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Healthcare Data
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 668 |
| Amount of suitable service providers | 583 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2013 |
| Youngest suiting company | 2022 |
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Healthcare data encompasses a broad spectrum of information relevant to patient care and the operations of healthcare systems, collected from various sources including electronic health records (EHRs), medical imaging, genomic sequences, prescriptions, laboratory test results, and insurance claims. It extends to encompass demographic information, lifestyle factors, social determinants of health, and patient-reported outcomes, all of which contribute to a comprehensive understanding of patient health and the effectiveness of healthcare services. This data can be structured, residing in fixed fields within a database, or unstructured, such as free-text clinical notes or imaging reports. The role and impact of healthcare data within its field are profound and multifaceted. It serves as the foundation for evidence-based clinical decisions, enabling healthcare providers to tailor treatments to individual patient needs, thus improving patient outcomes. Furthermore, by analyzing aggregated healthcare data, researchers can identify trends, evaluate the effectiveness of interventions, and drive innovations in medical treatments and healthcare delivery. Healthcare data also supports operational decisions within healthcare facilities, including resource allocation, policy development, and performance evaluation, leading to enhanced efficiency and patient care quality. In the realm of public health, healthcare data is instrumental in tracking disease outbreaks, informing preventive strategies, and guiding public health policy. Overall, the strategic use of healthcare data holds the potential to revolutionize healthcare systems, making them more patient-centered, efficient, and effective.
1. Enhanced Patient Care:
Healthcare data allows for a comprehensive view of a patient's medical history, enabling physicians to provide targeted and effective treatment. This personalized approach improves patient outcomes and satisfaction by ensuring that healthcare decisions are informed and precise.
2. Improved Public Health:
By analyzing large datasets, healthcare professionals can identify trends, outbreaks, and health care needs more accurately. This information is crucial for developing public health strategies, preventive measures, and managing health crises, leading to healthier communities.
3. Cost Reduction:
Through the predictive analysis of healthcare data, providers can foresee potential health issues and address them proactively, reducing the need for expensive emergency care and hospital readmissions. This not only saves significant costs but also improves the efficiency of healthcare delivery.
4. Enhanced Research and Development:
Healthcare data is invaluable for medical research, offering insights that drive innovation in treatment methods, pharmaceuticals, and medical technologies. This ongoing improvement in the medical field can lead to breakthroughs in curing diseases and enhancing quality of life.
5. Personalized Medicine:
With the advent of genomics and healthcare data analytics, personalized medicine has become a reality. By understanding a patient's genetic makeup, healthcare providers can tailor treatments that are more effective and have fewer side effects, revolutionizing healthcare delivery and patient care.
While evaluating the different suppliers make sure to check the following criteria:
1. Data Privacy and Compliance
Ensure the supplier adheres strictly to healthcare regulations like HIPAA in the US, GDPR in Europe, and other relevant data protection laws. Their compliance demonstrates a commitment to safeguarding patient information.
2. Data Quality and Accuracy
The data provided must be of high quality, accurate, and up-to-date. Verify their sources and methods for collecting and updating data.
3. Interoperability
Assess the supplier's capability to integrate their data with your existing systems. Seamless interoperability is crucial for maximizing the utility of the healthcare data.
4. Scalability
Choose a supplier that can scale their services to match your growing data needs without compromising on performance or quality.
5. Support and Maintenance
Evaluate the supplier's support system. Effective technical support and maintenance services are essential for resolving potential issues swiftly.
6. Cost-Effectiveness
While cost should not be the primary factor, it's important to consider the financial viability of the supplier's services. Ensure their pricing aligns with your budget and the value they provide.
7. Security Measures
Investigate the security protocols the supplier has in place to protect data against breaches and cyber-attacks. Strong security measures are non-negotiable in healthcare data handling.
Healthcare data finds extensive application in the pharmaceutical industry, primarily for drug development and market analysis. Companies utilize patient health records, clinical trial data, and other medical information to identify potential drug demand, enhance drug formulations, and streamline clinical trials. This data-driven approach significantly reduces the time and costs associated with bringing new medications to market, while ensuring they meet the specific needs of the patient population. In the health insurance sector, healthcare data is pivotal for risk assessment and policy customization. Insurers analyze health records, hospitalization rates, and treatment outcomes to accurately price insurance premiums and design policies that cater to the specific health profiles of their clientele. This not only helps in optimizing policy offerings but also in fraud detection and preventive health management, ensuring a more efficient and cost-effective insurance model. Healthcare technology companies leverage healthcare data to develop and refine health IT solutions, such as electronic health records (EHR) systems, telehealth platforms, and patient management software. By analyzing vast amounts of healthcare data, these companies can identify gaps in the healthcare delivery system, predict user needs, and create more intuitive, user-friendly technologies that improve the quality of care and operational efficiencies for healthcare providers. Lastly, healthcare data plays a crucial role in public health and research, where it is used by organizations and governmental agencies to track disease outbreaks, understand health trends, and inform public health policies. Through the aggregation and analysis of healthcare data, researchers can identify risk factors for diseases, evaluate the effectiveness of interventions, and ultimately, contribute to the development of more effective public health strategies and policies.
As of the latest assessment, the Technology Readiness Level (TRL) of healthcare data broadly spans from TRL 4 (technology validated in lab) to TRL 9 (actual system proven in operational environment), depending on the specific application and technology used for data management and analysis. This wide range is due to the diverse nature of healthcare data technologies, which include electronic health records (EHRs), wearable health monitors, telemedicine platforms, and advanced data analytics for predictive modeling. The lower end of the spectrum (TRL 4) often encompasses emerging technologies such as artificial intelligence (AI) and machine learning (ML) algorithms that are still being validated in controlled environments for tasks like predicting patient outcomes or personalizing treatment plans. These are technically sophisticated but require further validation in real-world healthcare settings. On the higher end (TRL 9), technologies like EHRs have become fully integrated into operational healthcare environments, demonstrating their reliability, efficiency, and compliance with regulatory standards. The progression across TRLs in healthcare data is primarily driven by technical challenges related to data privacy, interoperability, and the robustness of AI/ML algorithms. Ensuring the security of sensitive patient information while enabling seamless data exchange between disparate healthcare systems remains a significant hurdle. Additionally, the technical accuracy and generalizability of AI/ML predictions in healthcare are critical factors that influence the transition from lab-based validation to widespread clinical adoption.
In the short-term, healthcare data technology is poised to experience significant advancements in interoperability and data-sharing frameworks. Initiatives like FHIR (Fast Healthcare Interoperability Resources) are set to become more widespread, facilitating easier exchange of healthcare information across systems. Enhanced data privacy and security measures, powered by blockchain and advanced encryption methods, will also be a focus, ensuring patient data is protected yet accessible when needed. Moving into the mid-term, artificial intelligence (AI) and machine learning (ML) will take center stage, revolutionizing how healthcare data is analyzed and utilized. Predictive analytics will enable healthcare providers to offer personalized treatment plans by effectively analyzing patient data in real-time. This period will also witness the integration of IoT (Internet of Things) devices in patient monitoring, generating vast amounts of real-time health data. This data will be crucial in developing more responsive and adaptive healthcare services. In the long-term, the emergence of quantum computing promises to redefine data processing capabilities in healthcare. Quantum computing will enable the analysis of vast datasets far more efficiently than current technologies, unlocking new possibilities in genetic research and complex disease pattern recognition. Alongside, we can anticipate a surge in the development of digital twins – virtual representations of individual health profiles – allowing for highly accurate simulations and treatment outcome predictions. This era will mark a shift towards fully personalized medicine, based on a comprehensive, data-driven understanding of individual health dynamics.
Some interesting questions that has been asked about the results you have just received for Healthcare Data
What are related technologies to Healthcare Data?
Based on our calculations related technologies to Healthcare Data are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Healthcare Data?
Start-Ups who are working in Healthcare Data are SP Clinical Studies and Healthcare Data
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Cultivate Health Systems Inc.,
DyadWhich industries are mostly working on Healthcare Data?
The most represented industries which are working in Healthcare Data are Information Technology, Health Care, Software, Data and Analytics, Professional Services
How does ensun find these Healthcare Data Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
