Plenty of physicians in private practice like the idea of running clinical trials. Patients may gain access to promising investigational therapies, the practice can contribute to medical advances, and the investigator gets work that brings a different kind of challenge to the clinic day. What’s harder to picture is the administration that comes with it. Without enough support, that work can overwhelm a small team and leave a physician reluctant to take on another study.
The numbers on that are blunt. In a 2017 survey of 201 principal investigators published in Contemporary Clinical Trials Communications, 54.2% had led exactly one FDA-regulated drug trial and stopped there. They ranked operational barriers highest: 63.8% struggled with workload balance, 63.4% with the time trials demanded of them and their staff, and 56.5% with data and safety reporting. If you're planning a research program, those three problems are the ones to design around before your first patient signs a consent form.
A busy outpatient practice already runs on systems built for billing, scheduling, and charting. A trial adds a second, parallel operation with its own rules: a protocol that dictates what gets measured and when, a sponsor that expects clean data on a deadline, and monitors who'll compare every entry against source documents. It also adds people, usually at least one clinical research coordinator, whose hiring, pay, and training now land on the same small office. Sponsors and CROs take on much of the study design and oversight, so it's worth understanding how full-service CROs divide study work before you assume anything is covered. Your site handles day-to-day data recording and supports the team that records it.
Those two jobs, capturing study data and supporting study staff, are where the one-and-done barriers show up in real life. Data and safety reporting maps directly onto how your site collects and corrects study data. The survey’s findings are easier to recognize when you look at a typical workweek. Reporting problems show up as missing information, corrections, and unresolved data queries, while workload problems show up as a coordinator trying to manage study visits alongside payroll questions and paperwork. Planning for both gives your team more time to carry out the protocol and care for participants.
Paper case report forms and spreadsheets feel manageable for one small study, and they're where most first-time sites start. The trouble shows up later, when a monitor finds a blood pressure transcribed incorrectly, a missing visit date, or a correction with no record of who made it. Each of those becomes a query, and every query pulls your coordinator away from patients and back into binders. Multiply that across dozens of participants and several visits each, and reporting becomes exactly the grind the surveyed investigators described.
That's the problem electronic data capture for clinical trials was built to solve. An EDC system replaces paper forms with protocol-configured electronic case report forms, so site staff enter each value once, at or near the visit. Built-in edit checks flag missing fields and out-of-range values as soon as they're entered, while the patient's chart is still open in front of the coordinator. Every change also gets a timestamped audit trail showing who altered what and why, which is exactly what an inspector needs to reconstruct the study.
The FDA’s 2024 guidance on electronic records explains how electronic systems, records, and signatures can meet expectations for trustworthy, reliable clinical research records. Meeting those expectations depends on controls such as appropriate system validation, restricted access, and traceable changes. An EDC platform can support those requirements, but the site still needs clear procedures and trained staff who use it consistently. For a new practice entering research, evaluating those controls belongs alongside questions about cost and ease of use.
Many industry sponsors will hand you their own EDC, which settles the platform question for that study. Investigator-initiated studies, registries, and grant-funded projects often leave the choice to you, and that's where practices get tempted to improvise. Ask whether your staff can build and amend forms without paying the vendor for every change, whether the system works on a tablet in an exam room, and whether it exports clean data for analysis. Those three answers will tell you more about your future workload than any feature list.
The second system gets less attention, but it quietly eats the investigator's evenings. Adding a coordinator means new-hire paperwork, tax forms, direct deposit, benefits enrollment, time tracking, and a steady stream of small requests about pay stubs and leave balances. In a small practice, those requests often end up with the physician-owner or an office manager who's already stretched by clinic operations. That's the workload-balance problem from the survey, showing up in a form nobody budgeted for.
Turnover makes it worse. The Society for Clinical Research Sites reported in its 2022 Site Landscape Survey that turnover among patient-facing site staff roughly doubled, from a typical 10% to 37% a year and from 35% to 61%, with 85% of departing staff moving to sponsors and CROs. The same report put the cost of recruiting and training a replacement at about six months' pay and estimated it takes six to 12 months for a study to get back on track after a coordinator leaves. Those losses are hard for a practice running two studies to absorb.
Research on coordinators also points to what helps them stay. A study of 85 coordinators published in Mayo Clinic Proceedings: Innovations, Quality & Outcomes found that adequate salary and an engaged, respectful principal investigator were significantly associated with retention. A smoother administrative process can support both by helping the practice deliver accurate pay and giving the PI more time to answer study questions, provide guidance, and address concerns. Coordinators still need fair compensation and manageable workloads, along with everyday systems that respect their time.
An employee self-service payroll and HR portal takes most of that load off the office. New hires can sign and upload tax forms and enter their banking details before day one, and current staff can pull their own pay stubs, check PTO balances, request time off, submit hours, and manage benefits without routing anything through the practice owner. Because employees enter and maintain their own information, payroll records pick up fewer transcription errors, the same logic that makes point-of-entry validation work in an EDC. For a coordinator juggling visit windows and sponsor deadlines, settling a tax form question from a phone in two minutes is a small but real quality-of-life improvement.
Timing matters because startup is already the most crowded stretch of any trial. Contract and budget negotiation, IRB submission, staff training, and the site initiation visit all compete for the same few weeks. Choosing a data approach and setting up staff administration amid all that is how sites end up with stopgap spreadsheets they never replace. Settling both while you're still evaluating your first protocol keeps them off the critical path.
It also helps to think about quality from the start. Risk-based quality management in study operations asks teams to identify the processes most likely to affect participant safety or the study’s primary endpoints and focus oversight there. For a small site, reliable data collection and staffing continuity deserve attention because so much day-to-day knowledge may sit with a single coordinator. Clear procedures, trained backup staff, and dependable administrative systems help protect that work when someone is absent or leaves.
Physicians' reasons for pursuing research deserve room in the workday: time to discuss a study with a patient, think through a clinical question, and guide a coordinator through an unfamiliar situation. That time gets harder to protect when the team chases missing data, corrects payroll records, or rebuilds processes after someone leaves. Before accepting a first study, make sure the practice has a workable plan for recording data, supporting staff, and covering responsibilities when the usual person is unavailable.
These preparations give your team a steadier foundation for a trial's demands. They also help you judge whether a protocol fits the time and resources your practice can realistically provide. The goal is to finish that first study with patients well supported, records you can stand behind, and a team that has the capacity to do it again.
MBTpg/APC
