Seeking an Application Systems Analyst who will use knowledge of healthcare, information systems, databases, and information technology security to gather, store, and interpret data generated when care is provided to patients and pass the data through to a clinical registry.
In day-to-day operations, the analyst must ensure that patient health information, such as medical history, treatments, and test results, are integrated, accessible, accurate, and secure.
The analyst will meet and work closely with other healthcare professionals, such as RNs, physicians, respiratory therapists, and physical therapists. They also interact with IT professionals to improve the way data is generated, analyzed, and presented. The overall objective is to utilize data more effectively to improve the delivery of healthcare.
- Analyzing clinical data to help facilitate decisions and actions
- Developing data-driven solutions to improve patient outcomes
- Collaborating with other engineers and analysts on the project in strategic data analysis
- Create ad-hoc queries to support data scientists in the collection of data for analytics platforms
- Define requirements and implement tools to measure data, patient care effectiveness, and processes
- Facilitate communication and translation of registry requirements between project teams
- Looking for someone focused on data.
- You will be an intermediary between operations and the vendors who they are hiring to do the data science biotech piece.
- Will be a masters level statistician/clinical informatics type person.
- Must know medical nomenclature and database structures.
- You will be responsible for keeping file structure organized.
- Focused on meaningful data.
- Must have a thorough understanding of data flows
- This role might be compelling to someone as it has more data handling pieces as opposed to data programming.
- Candidates must be well-versed in the language of anatomy, procedures, tests, and evaluation, and medical coding.
- Will work on some surgeon projects etc.
- This person exists:
- …in the academic medical world in a bio stats group and not IT department.
- ….in pharma life sciences as maybe a healthcare outcome researcher… working with real-world evidence.