Best Healthcare Software for PostgreSQL

Find and compare the best Healthcare software for PostgreSQL in 2024

Use the comparison tool below to compare the top Healthcare software for PostgreSQL on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Jotform Reviews
    Top Pick

    Jotform

    Jotform

    $34 per month
    6,036 Ratings
    See Software
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    Jotform has been trusted by more than 18,000,000 users around the world. It is an all-in one platform that provides powerful tools for data collection and management. You can create digital forms and surveys for any business without any programming. You can create your own form or use one of the 10,000+ pre-made templates. Advanced features such as conditional logic, autoresponder email, and 100+ integrations to popular apps allow you to go beyond the basics. You can make the most of your data with Jotform PDF editor, Jotform Report Builder, and Jotform Approvals. Turn your responses into PDFs or visual reports. Jotform allows you to collect the data you need in order to grow your business. Create an online store with Jotform Store Builder — no coding required. Sell products, services, and subscriptions; collect donations; and receive payments through one of our 30+ supported payment gateways.
  • 2
    ViolaCare Reviews
    We don't release average software. Please let us know if you think our competitors are doing something better. We will make our product better. Switch to electronic charts. Many home care agencies are already using tablets with electronic medical records (EMR) to save money and time. We are focused on making the software as intuitive and easy to use as possible. Once you start using the system, the majority of its features and capabilities should be apparent.
  • 3
    Chemaxon Design Hub Reviews
    A platform that connects scientific reasoning, compound design, computational resources, and other relevant information. The Design Hub by Chemaxon for medicinal chemistry, from analysis to prioritization. One platform to design compounds and manage ideas. One platform that links scientific rationale, compound design, computational resources, and other information. You can switch from PowerPoint files to graphical or chemically searchable hypotheses, which are integral parts of compound design. You can easily work in a rich visual environment with your trusted physchem properties, computational models or novelty issues. This secure online service allows you to involve your CROs in compound progression. Analyze the evidence from biological assays and experimental structural information to extract SAR and create new hypotheses for each optimization iteration. Your scientific hypotheses can be stored in a "designer’s ELN" (chemically-aware drawing canvases).
  • 4
    Scispot Reviews
    Scispot stands as the premier technology platform for the biotech sector, offering an unparalleled toolkit designed for customization without the need for coding. Imagine a powerful blend of Electronic Lab Notebook (ELN), Laboratory Information Management System (LIMS), integrations, and analytics. This platform allows for easy setup, either through a graphical user interface (GUI) or command line interface (CLI), aimed at transforming your digital biotech ambitions into reality. With Scispot, you can craft your data infrastructure, streamline your workflows and integrations, and prepare your data for advanced applications like machine learning and artificial intelligence, all from a single platform. It also offers ready-to-use templates for key experiments, facilitating collaboration and efficient data management.
  • 5
    CHILI Reviews

    CHILI

    NEXUS / CHILI GmbH

    Software components for radiology, and other medical fields that involve image processing. CHILI systems are modular and can be adapted to meet changing requirements. All DICOM modalities data, non-DICOM data (photos and videos) as well as biosignals (e.g. ECG Redundancy is a feature of business-critical systems. This applies not only to radiological images but also to all multimedial data in a medical institution. From radiological images to digital films, biosignals, and documents in various formats. All images can be accessed at any location via the web-based image distribution. Centralization of core functions and inter-site access to all data. All data from multi-site institutions in one central multi-tenancy archive. This includes radiological images as well as multimedial data from a medical institution.
  • 6
    ScienceDesk Reviews
    ScienceDesk data automation simplifies the use of artificial intelligence (AI) in materials sciences. Your team can easily add and apply the latest AI algorithms every day with this practical tool. You can customize properties, universal identifiers and QR-codes. There is also a textual-numeric search engine that links experimental and sample data. ScienceDesk allows scientists and engineers to collaborate and gain insights into their experimental data through an innovative platform. This asset's potential is not fully tapped due to the complexity of data formats and dependence on experts to extract specific information. ScienceDesk's research data management system, ScienceDesk, solves this problem by combining data analysis and documentation in a well-designed data structure. Our algorithms give scientists and researchers the ability to have complete control over their data. They can share data and analysis knowledge.
  • 7
    Evidex Reviews

    Evidex

    Advera Health Analytics

    Automated surveillance of any source of data, fully integrated with a GVP IX-compliant signal management platform. GVP-IX compliant signal-management platform integrated into Evidex and ready-to-use off-the-shelf. Modernize and audit-proof all your management processes without the need to switch between platforms or services. Your safety data is worth more than you think. Automating signal detection and management allows you to focus on your organization's value, not just regulatory requirements. Safety signals can be identified from traditional sources such as ICSR databases, FDA Adverse Events Reporting System (FAERS), VigiBase, and clinical trial data. Incorporate new data sources like claims, EHR, or other unstructured data. These data sources can be combined seamlessly to improve signaling algorithms, increase validations and assessment efficiency, and provide faster answers for drug safety questions.
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