The healthcare industry in the United States is always trying to improve how care is given and how patients feel about their treatment. One way to do this is by using patient-reported outcomes (PROs). These are reports directly from patients about their health without a doctor changing what they say. PROs give important information about how a patient functions physically, their symptoms, feelings, and quality of life. Even though PROs are helpful, many medical offices in the U.S. still do not use them fully. This is because it can be hard to collect, combine, and show this data quickly and clearly. But, new technology in health information can help make PROs easier to use for doctors and their staff.
This article talks about how health technology helps collect and show PROs in clinics. It also explains why this is important to clinic managers, owners, and IT workers. It looks at programs like the Patient-Reported Outcomes Measurement Information System (PROMIS) and shows how artificial intelligence (AI) and automation can improve how PRO data is handled in U.S. healthcare.
Patient-reported outcomes are important pieces of information that tell about a patient’s experience with their illness, treatment side effects, and overall health. When doctors get these reports directly from patients, they can check how well treatment is working and adjust care better. PROs are known to help improve healthcare and patient experience.
However, PROs are not used much in clinics across the U.S. One big reason is that many clinics do not see a clear reason to add PRO collection into their work. Primary care doctors, who treat many different kinds of patients, often find it hard to pick the right PRO tools for all their patients. Also, training on how to use and understand PRO data is often not enough.
Still, as healthcare changes to focus more on patients and value-based payments, more clinics want to start using PROs. Those that can collect, combine, and show PRO data well may improve doctor decisions, patient happiness, and health results.
The Patient-Reported Outcomes Measurement Information System (PROMIS) is a program funded by the National Institutes of Health (NIH) that helps solve problems with PROs. PROMIS made a system that is standard, tested, and reliable to collect and measure PROs in many areas such as pain, tiredness, physical ability, emotional stress, and social activities.
PROMIS uses new technology called computerized adaptive testing (CAT), based on item response theory (IRT). This means the test changes as a patient answers, making data collection more exact and faster. PROMIS tools cover many long-term illnesses like cancer, heart failure, depression, arthritis, and more. The system is flexible and works with paper forms, websites, mobile apps, and health record systems.
PROMIS measures more than 70 areas and has been translated into over 40 languages. It has helped create over 400 research papers and over 100 NIH grants. PROMIS tools help compare PRO data across different studies and clinics by using the same measurement system.
For clinic managers and IT staff, PROMIS gives useful tools that fit into current work processes. It can connect with electronic health records (EHRs), so PRO data is stored with other patient information. This makes it easier for doctors to see and use the data. This connection also cuts down on repeating work and keeps patient records consistent.
Even though PROMIS and similar systems help with PROs, there are still problems with using them widely in outpatient clinics in the U.S.
Health IT helps fix many of the problems with using PROs in clinical care. Digital tools can improve how PRO data is collected, combined, and shown.
Electronic Data Collection: Digital platforms like patient portals, mobile apps, and tablets in clinics let patients enter their data easily before or during visits. This data is then sent automatically to electronic health records or databases, cutting down on manual entry.
Integration with EHRs: Health IT lets PRO data be shown right inside electronic health records. Doctors can see patient reports alongside lab results and notes. This makes it easier to get complete patient information.
Data Visualization Tools: Showing PRO data in graphs or charts helps both doctors and patients understand it better. These tools can show trends, compare results to norms, or highlight issues.
Standardization via PROMIS: Many health IT systems include PROMIS tools. This keeps PRO data consistent across different clinics and helps with research and clinical decisions.
Artificial intelligence (AI) can help medical offices handle PROs more smoothly. AI can automate tasks like data collection, processing, and analysis, reducing work for staff and making data more useful.
AI-Based Patient Interaction: AI-powered phone systems and chatbots can guide patients through PRO questions by phone or online. These systems can collect data without needing extra staff time.
Data Quality Improvement: AI tools can find errors or missing answers in PRO data and ask for follow-up automatically to make sure the data is accurate before doctors see it.
Clinical Decision Support: AI can analyze PRO data in electronic health records and send alerts or suggestions to doctors. For example, if a patient reports worse fatigue or depression, the system might advise further checks or treatment changes.
Workflow Automation: Routine tasks like scheduling reminders, documentation, billing, and reporting related to PRO collection can be automated. This saves time and helps clinics stick to data collection rules, making PRO use easier to keep up.
For IT managers and clinic leaders, AI automation tools can lower costs connected to PRO programs and encourage more use by causing fewer problems with daily work.
The U.S. healthcare system is moving toward using more patient-reported outcomes to improve care and patient satisfaction. By using available health IT tools, including PROMIS and AI automation, clinics can solve many current problems. This helps gather, show, and use PRO data better, making care in outpatient settings more effective across the country.
The effective use of PROs is crucial for improving healthcare delivery and enhancing patient experiences with care.
Many practices lack a business case to collect PROs, and primary care providers face challenges in selecting appropriate measures due to patient population variability.
Primary care physicians encounter difficulties in choosing appropriate PRO measures and require training to effectively use PRO data for decision-making.
Identified opportunities include addressing challenges in data collection, integration, and visualization using health IT to enhance PRO utilization.
Health IT can facilitate efficient data collection, integration, and visualization, making PRO data more accessible and understandable for patients and providers.
Potential research areas include harmonization of measures, implementation processes, electronic data collection, and user-friendly data displays.
Findings showed varying degrees of PRO usage in ambulatory care and highlighted the need for training and business cases to implement PRO collection.
Training providers to utilize PRO data can significantly enhance shared decision-making between patients and physicians.
Effective PRO data utilization necessitates proper integration into clinical workflows and training healthcare providers to make informed decisions based on this data.
The advancement of electronic PROs could streamline data collection and improve how healthcare professionals assess patient outcomes during encounters.
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