Healthcare Data Analytics Curriculum
120 total credits required
The career-focused curriculum in the Bachelor of Science in Healthcare Data Analytics program provides a firm knowledge base in clinical healthcare analytics coupled with the management and communication skills needed to succeed in a rapidly changing healthcare information landscape. We offer up to 90 transfer credits, meaning you could graduate with marketable, impactful skills after taking as few as 30 credits with Carlow.
Carlow’s healthcare data analytics curriculum immerses you in clinical coursework, such as anatomy and physiology, along with healthcare data analytics courses, including health data and information governance, healthcare project management and more.
You’ll begin taking some of your 19 major-related courses in your first semester. The degree program shares a common core curriculum with the Bachelor of Science in Healthcare Management program, allowing you to choose which program best suits your goals and interests while working towards graduation. This flexibility of the program also gives you the opportunity to double major or choose a minor that complements the healthcare data analytics degree.
This course introduces the health information management profession, the role of health informatics, and the role of technology in today’s healthcare environment. Students will learn about the structure of the U.S. Healthcare system, key legal and ethical issues in health informatics and information management, cultural competence and diversity and forces impacting the state of the U.S. healthcare system.
This course provides students with a working knowledge of medical terminology by exploring the root words, suffixes, and prefixes of the vocabulary used in healthcare settings. Students review the nervous, skeletal, cardiovascular, muscle, and other major systems of the human body, and they discuss terms related to physiology, anatomy, and pathological conditions.
This course reviews the many issues and challenges related to the current EHR landscape. Content includes current and planned activities an evidence based in quality, information technology design, and development opportunities, clinical terminologies, EHR and analytics platforms and security concerns. There is also a focus on the use of information assets and best practices related to data analytics as it relates to health services and health and wellness.
This is the first of two courses that focus on clinical terminologies, standards, and documentation as it relates to both clinical care and administrative viability of the health system. This course introduces students to clinical classification systems, standard terminologies and standards for health documentation compliance. Students are also introduced to health data analytics and the use of viable data sets.
This is the second of two courses that focus on clinical terminologies, standards, and documentation as it relates to both clinical care and administrative viability of the health system. This course focuses on the clinical, financial, and population health/research implications of medical coding as well as the policy and leadership implications of clinical documentation improvement initiatives.
This course provides a foundation for the understanding of the reimbursement system in hospitals and other facilities. This course expands upon the prerequisite HIM 203 and 204 Clinical Classification courses, focusing on the critical role of coding in the billing process. The course reviews strategies to minimize and identify health care fraud, as well as payment cycle management, value-based purchasing, compliance, and payment methodologies.
This course explore laws, regulations, and policies that govern the management of electronic health record platforms and data. Principles such as security, privacy, and confidentiality are discussed in the context of the increasingly wide use of electronic records in health economy. Education of stakeholders and ethical implications of handling health information are reviewed.
This course is a strategic overview of how informatics systems and data are utilized in healthcare and health services. Topics such as information governance, information access, and how organizations secure data are addressed. Leadership topics such as how organizations leverage informatics solutions to improve outcomes are also discussed.
This course reviews the health information management quantitative concepts related to calculations that are commonly used in hospital, physician, and community settings. Statistical concepts related to both descriptive and inferential statistics are also addressed. Learners also work with detailed health information analytics concepts sch as data dictionary development and the relationship between data management and determinants of health quality including financial and clinical aspects of health outcomes.
This course will review fundamental issues surrounding information management in the ever-changing health care environment, and the regulatory requirements guiding decision makers. The concepts relative to health care informatics and information systems – as well as their application to support clinical and administrative decision-making – will be examined.
This course facilitates the students’ understanding and use of health information, along with leadership strategies, in the management of hospital systems. Change management, focusing on outcomes and project goals/deliverables, is a focus of the course. Health industry case studies will be used to highlight issues, as well as explain lessons learned.
This course focusses on the application of data management, measurement, and statistical analysis principles to address patient safety and quality improvements. Principles and use of software assurance tools, code analysis, as well as using secure web services will be reviewed.
This course reviews the necessary project management skills needed to lead health information and data analytics efforts. Students will learn how to create productive and effective management teams in the health care environment, while paying special attention to data security, patient safety, and outcomes.
As an ever-changing field of study, clinical research and population health relies on evidence based data to improve patient outcomes. This course will review current topics in health care related to clinical research and population health to present the student with a broad overview of current activities and issues in the field of study.
Personalized medicine is a process where, through data analysis and other means, patients receive better diagnoses, earlier interventions, more effective and efficient therapies, and a more customized treatment plan. Through predictive modeling and analytics – facilitated through various health information software programs – precision medicine can help determine each person’s unique disease susceptibility, identify preventive measures and enable target therapies to facilitate wellness. Personalized medicine, through health information management and analytics, is the future of medicine.
The professional practice experience (PPE) provides students with an internship experience, with the goal being that the student can partner with clinical, educational, technical, or other facilitators to gain knowledge and experience in the health information management and analytics field of their choosing. The ultimate goal is a final placement in the industry and position of their choosing, one that matches the students’ interests with the industry’s needs.
A first course in information systems that introduces students to the fundamental concepts related to the use of IT in organizations from a managerial perspective. Students will learn to recognize the strategic value of IT and will become familiar with the different ways in which IT is used in organizations (e.g. enterprise systems, business intelligence). Students will also learn IT skills to improve their personal productivity. The course has been designed to also include hands-on activities, mainly in the areas of databases, Web design, and e-commerce. Students will prepare a business case to propose and justify an IT initiative in a real organization. This course has been designed as a stand-alone portal course in IT for majors in all disciplines.
An overview of information security topics from a managerial perspective. Topics include hacker techniques, legal issues of information security including Pennsylvania’s data breach security act, typical corporate security and privacy policies, firewalls, virtual private networks, encryption, identity theft, intrusion protection, desktop protection, windows security, e-commerce, and wireless security. The concepts within this course are beneficial to all students who intend to work with technology or manage technology within an organization.
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