Building a Successful Hospitalist Research Program After HM17

A productive hospitalist research programme needs more than a list of interesting clinical questions. It requires a reliable way to identify problems, protect time for investigation, involve patients and staff, and turn findings into changes at the bedside. Lessons discussed around Hospital Medicine 2017, held from 1–4 May 2017 at Mandalay Bay in Las Vegas, remain useful because they connect research with everyday hospital operations.

For Australian hospitalists, the model needs local adaptation. A project may span a metropolitan tertiary hospital in Sydney, a regional service in Geelong, or a rural network supported by telehealth. It must fit state and territory governance, the National Safety and Quality Health Service Standards, privacy requirements, and the practical realities of public hospital funding. The HM17 conference archive provides a useful starting point for revisiting the meeting’s education, quality-improvement ideas and professional networks.

Start With A Clinical Problem Worth Solving

The strongest hospitalist studies usually begin with a recurring operational problem rather than an abstract research interest. Delayed discharge, medication discrepancies, deteriorating patients, avoidable readmissions and inconsistent escalation decisions all produce questions that matter to clinicians and patients. A team should first describe the problem in measurable terms: how often does it occur, who is affected, and what part of the workflow appears to drive it?

A practical research question might ask whether a structured weekend discharge process reduces length of stay without increasing readmissions. Another could examine whether pharmacist review within 24 hours of admission prevents medication errors for older adults taking multiple medicines. These questions are narrow enough to study and important enough to attract support from hospital executives, nursing leaders and allied health departments.

HM17’s emphasis on education, innovation and patient care suggests a useful balance between discovery and implementation. A hospitalist programme can combine prospective clinical research with quality improvement, provided the team clearly distinguishes the two. Research aims to create generalisable knowledge, while quality improvement tests whether a process works in a particular setting. That distinction affects ethics review, consent, data collection and publication plans.

Build A Team Around The Workflow

A hospitalist investigator rarely succeeds alone. The core group should include a physician with clinical credibility, a project coordinator, a data or biostatistical adviser, and representatives from nursing, pharmacy, allied health and health information services. Patients and carers can contribute valuable insight into outcomes that routine hospital metrics miss, such as confusion about medicines or the burden of repeated appointments after discharge.

Team membership should reflect the whole patient journey. If a study examines emergency admissions, include emergency clinicians and ambulance staff. If it concerns discharge, involve ward nurses, pharmacists, social workers, general practitioners and community services. In Australia, this may require cooperation between a public hospital, a local health district or health service, and primary care providers who work under different systems and time pressures.

A written charter prevents enthusiasm from becoming confusion. It should define the research question, roles, decision rights, meeting schedule, data ownership, authorship principles and escalation pathway. A monthly research meeting can review recruitment, data quality, adverse events and barriers. Short weekly huddles are useful during implementation, particularly when a project affects handover, observation or after-hours coverage.

Protect Time And Create A Data Foundation

Research activity needs protected time, even if that time begins with one half-day each fortnight. Without it, clinical demand will consistently displace data cleaning, ethics submissions and manuscript preparation. Medical leaders can support the programme by including research objectives in job plans, recognising supervision and offering development pathways for registrars and early-career consultants.

A small programme should establish a dependable data dictionary before collecting large amounts of information. Define each variable, its source, acceptable values, missing-data rules and collection date. Hospital systems may contain information in electronic medical records, pathology platforms, medication systems, incident reports and administrative datasets. Linking these sources can be powerful, but it also raises governance and privacy questions.

Australian teams must account for the Privacy Act 1988, relevant state or territory health-record legislation and local Human Research Ethics Committee requirements. Research involving Aboriginal and Torres Strait Islander communities should follow appropriate Indigenous governance principles and engage community-controlled organisations where relevant. A project in Perth or Darwin may need a different partnership approach from one in Melbourne, particularly when participants are drawn from remote communities.

Researchers should select outcomes that are meaningful and feasible. Length of stay, unplanned readmission, rapid-response activation, hospital-acquired complications and mortality are familiar measures, but process and patient-reported outcomes can reveal why an intervention succeeds or fails. Data security should include role-based access, audit trails, secure storage and a clear retention schedule.

Choose Interventions That Staff Can Use

A technically elegant intervention will fail if it adds steps to an already crowded shift. Before launching a new protocol, map the current workflow with the people who use it. Observe admission, ward-round, escalation and discharge processes at different times, including weekends and public holidays. This can uncover practical barriers such as missing equipment, unclear accountability or a template that duplicates existing documentation.

Communication and de-escalation are particularly suitable areas for hospitalist research because they affect patient safety, staff wellbeing and flow. A project might test a standardised approach to recognising agitation, reducing environmental triggers, involving family and documenting restrictive practices. HM17’s discussion of safe de-escalation skills offers a useful example of translating education into a measurable clinical intervention.

Interventions should be designed for adaptation rather than rigid replication. A regional Queensland hospital may need a telehealth-supported escalation pathway, while a large Brisbane or Adelaide service may focus on electronic prompts and multidisciplinary rapid review. Pilot the process with one ward, gather feedback, measure unintended effects and revise before expanding. Run charts or statistical process-control methods can show whether change is sustained rather than simply associated with a short-term burst of attention.

Turn Findings Into Routine Practice

A research programme gains credibility when it communicates results clearly and returns findings to the people who generated the data. Share early results through short clinical briefings, ward dashboards, grand rounds and plain-language summaries for patients. Publication remains valuable, but it should be one part of a broader dissemination plan that includes local policy and education.

Implementation planning should begin before the final analysis. Identify the person who will own the intervention, the resources needed to maintain it, the training required for new staff and the measures that will trigger review. For example, a discharge intervention may need an updated electronic template, a pharmacy workflow, general-practice communication and a process for monitoring readmissions over six or twelve months.

A discharge summary project illustrates this principle. The new discharge templates discussed at the conference can prompt an Australian team to measure whether medication changes, pending tests, follow-up appointments and responsible clinicians are consistently documented. The project could compare documentation quality before and after implementation, then audit whether general practitioners receive the summary promptly.

The programme should maintain a visible pipeline: ideas in assessment, protocols under review, studies recruiting, analyses underway and findings being implemented. This helps hospital executives see return on investment and allows clinicians to join projects that match their interests. It also protects the programme from relying on one enthusiastic individual who may rotate to another service or leave the hospital.

A successful hospitalist research programme is therefore a managed clinical capability, not a collection of occasional projects. The essential habits are clear questions, multidisciplinary ownership, protected time, trustworthy data, careful governance and deliberate implementation. The central lesson from HM17 is that research has its greatest value when it improves the next admission, handover, escalation or discharge for real patients in the health service where the work is done.