Tech Custom Software
Custom software development and data management for Healthcare Tech companies, Hospitals, and Medical Practices.
Simplifying Software Development for the Healthcare Industry
Sparkfish provides the expertise and human capital necessary to tackle complex software and data management challenges. Our goal is to find the best path to solving complex problems.
How We Can Help
Our Client, a startup who provides SaaS based EHR software to ambulatory care specialty clinics came to us to help reduce their cost of development and create a more scalable business model.
Through a combination of our Development and Management Consulting Teams we were able to reduce their development costs by approximately 50%.
Solving Complex Software & Data Challenges
EHR / EMR Development
Healthcare Data Analytics
Healthcare UX Design
What Others Have To Say
Healthcare Technology Services
EHR and EMR are two commonly used terms in the healthcare industry that refer to electronic health records and electronic medical records, respectively.
Electronic medical records (EMR) are digital versions of the paper charts in a medical practice. They contain patient medical history, diagnoses, medications, treatment plans, and other information related to a patient’s healthcare. EMRs are typically used within a single healthcare organization or practice and are designed to serve the needs of healthcare providers involved in the patient’s care.
Electronic health records (EHR) are similar to EMRs but are designed to be more comprehensive and interoperable across multiple healthcare organizations. EHRs include all of the information contained in EMRs but also include data from other sources, such as laboratories, pharmacies, and insurance companies. EHRs are designed to share patient information securely and seamlessly between different healthcare providers and organizations, allowing for better coordination of care and improved patient outcomes.
An Electronic Medical Record (EMR) or Electronic Health Record (EHR) can provide several benefits to your medical practice. Here are some ways an EMR or EHR can help:
- Efficient record-keeping: With EMRs or EHRs, you can easily store and access patient records, including medical history, treatment plans, lab results, and imaging reports. This helps you save time and effort by eliminating the need for manual record-keeping.
- Improved patient care: EMRs or EHRs allow you to easily view a patient’s medical history, including medications, allergies, and past treatments, which can help you provide better, more informed care.
- Better communication: EMRs or EHRs can help improve communication between healthcare providers within a practice and with other healthcare providers outside of the practice, including hospitals and laboratories. This can help improve patient care and reduce the risk of errors.
- Increased accuracy: EMRs or EHRs can help reduce errors in patient records, including errors in medication dosages, allergies, and medical history.
- Increased efficiency: EMRs or EHRs can help reduce the time and resources needed to manage patient records, including reducing the need for paper records and reducing administrative tasks.
- Regulatory compliance: EMRs or EHRs can help ensure that your practice is compliant with regulatory requirements, such as HIPAA regulations and Meaningful Use requirements.
Overall, an EMR or EHR can help improve the quality of care you provide, increase efficiency, reduce errors, and ensure regulatory compliance.
Healthcare interoperability refers to the ability of different healthcare information systems and applications to exchange and use patient data seamlessly and efficiently. It involves the exchange of health information among healthcare providers, patients, and other stakeholders, regardless of the software or system used.
Interoperability allows healthcare providers to access the right information at the right time to make informed clinical decisions, improve patient outcomes, and reduce costs. It can also enhance the patient experience by allowing them to share their health information with providers and caregivers.
Healthcare interoperability can be achieved through the use of standard formats for exchanging health information, such as HL7 (Health Level Seven) or FHIR (Fast Healthcare Interoperability Resources), and by ensuring that different systems can communicate with each other using these standards. Additionally, interoperability requires data security, privacy, and consent management to protect patients’ health information.
Healthcare UX (User Experience) design is a discipline that focuses on designing digital experiences and interfaces in the healthcare industry that are user-friendly, intuitive, and effective. The goal of healthcare UX design is to enhance the experience of patients, healthcare professionals, and other stakeholders by making healthcare technology easier to use and more accessible.
Healthcare UX designers use a variety of tools and techniques to create interfaces that are easy to navigate, visually appealing, and informative. They conduct research to understand user needs, pain points, and behaviors, and use this information to develop user personas and user journeys that guide the design process.
Data management refers to the process of collecting, storing, organizing, and maintaining data, while data analytics involves the extraction of useful insights and knowledge from that data. Together, data management and analytics enable organizations to make informed decisions, solve complex problems, and optimize their operations.
Data management involves a range of activities such as data entry, quality control, data warehousing, and data governance. The goal is to ensure that data is accurate, complete, secure, and accessible. This includes developing and maintaining databases, data warehouses, and data lakes that can store large amounts of data in a structured and efficient manner.
Data analytics, on the other hand, involves using various techniques to analyze data and extract insights that can be used to improve business processes, products, and services. This includes statistical analysis, machine learning, data mining, and data visualization. By analyzing data, organizations can identify patterns, trends, and correlations that can help them make better decisions and gain a competitive advantage.
Overall, data management and analytics are critical components of any organization’s data strategy. By effectively managing and analyzing data, organizations can unlock valuable insights, improve operational efficiency, and drive innovation.