Imagine this scenario…
A 72-year-old patient is admitted for an elective colectomy to treat colon cancer. The operation proceeds without complication, and the first two postoperative days are uneventful. On the morning of postoperative day three, however, subtle changes begin to emerge. The patient is increasingly tachycardic, blood pressure trends downward, urine output declines, and laboratory studies reveal a rising white blood cell count and elevated lactate. Although the surgical incision appears unremarkable, the bedside nurse recognizes that something is wrong.
Within minutes, the surgical team is notified. A Rapid Response Team is activated, broad-spectrum antibiotics are started, and the patient is transferred to the intensive care unit. Computed tomography (CT) confirms an anastomotic leak, and the patient is taken urgently back to the operating room for source control. Over the next several days, surgeons, intensivists, nurses, pharmacists, respiratory therapists, infectious disease specialists, and countless others work together to stabilize the patient.
Whether this patient ultimately survives is important, but today’s quality conversation extends beyond the outcome itself. Increasingly, healthcare leaders are asking a different question: How effectively did the hospital recognize deterioration, coordinate care, and attempt to rescue the patient once a serious complication developed?
That question lies at the heart of the Centers for Medicare & Medicaid Services’ (CMS) 30-Day Risk-Standardized Death Rate among Surgical Inpatients with Complications, more commonly known as Failure to Rescue (FTR). Adopted in the FY 2025 Inpatient Prospective Payment System (IPPS) Final Rule and implemented in the Hospital Inpatient Quality Reporting (IQR) Program for the FY 2027 payment determination, the measure replaces the Agency for Healthcare Research and Quality’s (AHRQ) Patient Safety Indicator (PSI)-04.
Rather than measuring how often postoperative complications occur, Failure to Rescue evaluates 30-day risk-standardized mortality following qualifying postoperative complications, recognizing that even the highest-performing hospitals care for medically complex patients who will inevitably experience serious adverse events and that quality is reflected not only by preventing complications, but by responding effectively when they occur. (1,2)
For clinical documentation integrity (CDI) professionals, coders, physician advisors, quality leaders, and surgeons, this represents far more than another CMS quality measure. It changes how we should think about documentation itself.
Historically, documentation improvement has often been associated with reimbursement, severity of illness, and risk adjustment. While those responsibilities remain essential, Failure to Rescue demonstrates that documentation has become equally important to quality measurement, public reporting, and organizational transparency. The medical record no longer serves only as the foundation for coding and payment; it has become the primary narrative through which hospitals explain the complexity of the patients they treat and the care they provide.
Perhaps most importantly, Failure to Rescue reminds us that documentation should never focus solely on the complication. The record must tell the complete clinical story—from the patient’s baseline health, through the onset of deterioration, to the multidisciplinary effort required to recognize, treat, and, whenever possible, rescue the patient.
From Preventing Complications to Measuring Rescue
The concept of Failure to Rescue is not new. More than 30 years ago, Dr. Jeffrey Silber introduced the term after observing that hospitals with similar postoperative complication rates often had markedly different mortality outcomes. His research challenged a long-held assumption in healthcare: that fewer complications automatically equated to better quality. Instead, Silber showed that what distinguished hospitals was what happened after complications occurred. Organizations that recognized deterioration early, coordinated care effectively, and intervened rapidly consistently achieved better survival, even when caring for patients with comparable levels of complexity. (3)
That principle remains just as relevant today.
Major surgery is inherently complex. Patients undergoing cardiovascular, neurosurgical, orthopedic, transplant, and major abdominal procedures frequently present with advanced age, multiple chronic diseases, frailty, and diminished physiologic reserve. Even when evidence-based surgical care is provided, complications such as sepsis, respiratory failure, postoperative hemorrhage, pulmonary embolism, or acute kidney injury may still develop. Measuring complication rates alone fails to distinguish hospitals caring for these medically complex populations from organizations treating lower-risk patients.
Recognizing these limitations, CMS adopted the redesigned 30-Day Risk-Standardized Death Rate among Surgical Inpatients with Complications into the Hospital Inpatient Quality Reporting Program, replacing the legacy AHRQ PSI-04 measure. The revised methodology incorporates contemporary surgical populations, enhanced risk adjustment, and improved statistical modeling to provide a more meaningful assessment of hospital performance. Rather than asking simply whether a complication occurred, CMS now evaluates mortality among patients who experienced qualifying postoperative complications. (1,2,4)
For hospitals, this represents an important philosophical shift. Complications are no longer viewed solely as indicators of poor quality. Instead, Failure to Rescue acknowledges that complications will occur, particularly among high-risk surgical patients. The measure focuses on how effectively hospitals recognize deterioration, mobilize multidisciplinary resources, escalate care, and manage those complications once they develop.
For documentation professionals, that distinction is equally significant.
For purposes of quality reporting, the Failure to Rescue measure is calculated from administrative claims data rather than medical record abstraction. Consequently, the diagnoses, procedures, and Present on Admission indicators submitted on the final claim determine how CMS identifies qualifying patients, applies risk adjustment, and calculates the measure. Accurate provider documentation remains the foundation for those coded data. (1,2)
Consequently, documentation has become far more than a reimbursement tool. It establishes the patient’s baseline clinical complexity, communicates the severity of postoperative complications, supports accurate coding, and provides the information necessary for meaningful risk adjustment. Without complete and clinically accurate documentation, administrative data may not fully represent the complexity of the patient or the care delivered.
This does not mean documentation should be influenced by the quality measure. The purpose of documentation remains unchanged: to accurately reflect the patient’s clinical condition. When providers clearly document clinically supported diagnoses, evolving complications, and the patient’s response to treatment, quality measures become more representative of the care delivered rather than simply the limitations of incomplete documentation.
This perspective also changes how hospitals should think about documentation improvement. Documentation is no longer confined to the revenue cycle. It has become an essential component of quality reporting, public transparency, physician engagement, and organizational learning. In many ways, documentation integrity has evolved into quality integrity, serving as the foundation upon which hospitals demonstrate the complexity of the patients they treat and the outcomes they achieve.
The Documentation Journey: From the Preoperative Evaluation to Rescue
Failure to Rescue reinforces an important principle: the patient’s clinical story does not begin with a postoperative complication. It begins long before the patient enters the operating room.
Because Failure to Rescue is a risk-standardized mortality measure, CMS recognizes that patients undergoing surgery present with vastly different levels of physiologic reserve and baseline risk. Expected mortality is adjusted using patient characteristics, qualifying surgical procedures, and documented comorbidities. Consequently, documentation of the patient’s condition before surgery provides the clinical context against which postoperative outcomes are evaluated. (2)
This places renewed emphasis on documenting clinically supported chronic conditions that accurately describe the patient’s baseline severity of illness. Conditions such as chronic heart failure, stage-specific chronic kidney disease, chronic respiratory disease, diabetes with associated complications, cirrhosis, protein-calorie malnutrition, and frailty are more than secondary diagnoses. They help explain why one patient recovers uneventfully while another experiences life-threatening complications despite receiving similar surgical care.
Equally important is documenting the reason for surgery, the urgency of the procedure, and significant preoperative clinical findings. A patient undergoing an emergent operation for perforated diverticulitis presents a very different risk profile than a patient undergoing an elective colectomy for localized colon cancer. Likewise, a frail patient with multiple chronic illnesses cannot be compared directly with an otherwise healthy individual simply because they underwent the same procedure. Complete documentation ensures that administrative data more accurately reflects these important clinical differences.
The documentation story continues as the patient’s hospitalization unfolds. When postoperative complications develop, providers should move beyond simply naming the diagnosis. Documentation should explain the patient’s evolving clinical condition by describing the objective findings supporting the diagnosis, the timing of onset, the severity of illness, and the interventions initiated. The medical record should clearly communicate the clinician’s assessment of why the patient deteriorated and how treatment decisions evolved as new clinical information became available.
Present on Admission (POA) documentation deserves particular attention. Failure to Rescue includes qualifying postoperative complications that develop during the hospitalization. Clear documentation regarding when clinical findings first became evident allows coding professionals to accurately assign POA indicators and ensures administrative data appropriately distinguish pre-existing conditions from complications arising after admission. Ambiguity in provider documentation can make this determination unnecessarily difficult and may ultimately affect the accuracy of coded data. (2,7)
Perhaps the most significant opportunity for documentation improvement lies in capturing the rescue itself.
Hospitals devote extraordinary resources to recognizing deterioration and preventing avoidable mortality. Bedside nurses identify subtle physiologic changes. Rapid Response Teams evaluate patients whose conditions are worsening. Surgeons reassess operative complications. Intensivists manage evolving organ dysfunction. Pharmacists optimize antimicrobial therapy and vasoactive medications. Respiratory therapists provide escalating ventilatory support. Consultants from multiple specialties contribute expertise throughout the hospitalization.
Yet when the medical record is reviewed retrospectively, these efforts are often fragmented across dozens of individual progress notes.
Failure to Rescue reminds us that documentation should tell a connected clinical story. The record should explain how deterioration was recognized, why escalation of care occurred, what interventions were performed, how the patient responded, and how the multidisciplinary team continually reassessed the patient’s condition. This narrative not only supports accurate coding but also provides the foundation for meaningful mortality review, physician education, patient safety initiatives, and organizational learning.
For Clinical Documentation Integrity professionals, this reinforces the value of concurrent reviews. Clarifying documentation while the patient remains hospitalized allows providers to describe the clinical picture more completely, reduces ambiguity before coding is finalized, and supports a more accurate representation of the patient’s hospitalization. The goal is never to document for a quality measure. Rather, it is to ensure the medical record faithfully reflects the complexity of the patient, the clinical decision-making, and the care that was delivered.
Failure to Rescue ultimately reminds us that the quality of a hospital’s documentation is inseparable from the quality of the story it tells. When that story is complete, administrative data becomes more accurate, mortality reviews become more meaningful, and quality measures more faithfully represent the work performed by the entire healthcare team.
From Documentation to Organizational Strategy
Failure to Rescue is often introduced as another CMS quality measure, but viewing it through that narrow lens understates its significance. It is better understood as an organizational measure because no single department determines its outcome. Surgeons perform the operation, nurses recognize subtle changes in a patient’s condition, intensivists manage organ dysfunction, pharmacists optimize therapy, CDI specialists improve documentation clarity, coding professionals translate the record into standardized data, physician advisors provide clinical oversight, and quality and patient safety teams evaluate opportunities for improvement. Each discipline contributes to the patient’s story, and each contributes to how that story is ultimately reflected in publicly reported quality data.
This multidisciplinary perspective also changes the role of Clinical Documentation Integrity. Historically, CDI programs have focused on reimbursement, severity of illness, risk of mortality, and accurate code assignment. Those responsibilities remain essential, but Failure to Rescue expands the conversation. Concurrent review now supports accurate capture of baseline patient complexity, clarification of postoperative complications, appropriate Present on Admission documentation, and a more complete description of the patient’s response to treatment. Rather than asking whether documentation supports a diagnosis alone, CDI professionals increasingly ask whether the record accurately tells the patient’s clinical story.
The role of the Physician Advisor continues to evolve as well. Beyond medical necessity and clinical validation, Physician Advisors are uniquely positioned to educate providers regarding documentation of postoperative complications, clarify cause-and-effect relationships when clinically appropriate, participate in multidisciplinary mortality review, and ensure the medical record accurately reflects the complexity of the care delivered. Their involvement helps bridge the gap between bedside care, documentation integrity, and organizational quality improvement.
Failure to Rescue also aligns naturally with patient safety and mortality review initiatives. Organizations have long reviewed deaths to determine whether opportunities existed to improve care. This measure broadens that discussion by encouraging hospitals to examine whether deterioration was recognized promptly, whether escalation of care occurred in a timely manner, and whether documentation accurately described the patient’s progression and the interventions performed. Those discussions should never focus on changing documentation to influence a quality measure. Instead, they should identify opportunities to strengthen clinical care, improve communication, and ensure the medical record faithfully reflects what occurred.
Preparing for Failure to Rescue therefore begins with strengthening existing clinical and documentation processes rather than creating an entirely new program. Hospitals should educate surgeons and medical staff on documentation expectations, expand concurrent CDI review of high-risk surgical patients, integrate physician advisors into perioperative documentation and mortality review, and bring CDI, coding, quality, patient safety, and physician leadership together through a coordinated governance process. These activities not only improve documentation but also enhance interdisciplinary collaboration and support continuous quality improvement.
Failure to Rescue also offers a glimpse into the future of healthcare quality measurement. CMS continues moving toward value-based care, digital quality measures, and greater reliance on electronic clinical data. As predictive analytics and artificial intelligence become more integrated into clinical practice, hospitals will have new opportunities to identify patients at risk for deterioration earlier in their hospital course. Technology may help recognize patterns of sepsis, respiratory failure, or hemodynamic instability sooner, but it cannot replace thoughtful clinical documentation. The medical record will remain the authoritative account of the patient’s condition, the clinical decisions made, and the care provided.
Ultimately, Failure to Rescue is not about documenting for a quality measure. It is about accurately documenting the patient’s journey—from baseline health through surgery, postoperative complications, rescue efforts, and outcome. When documentation faithfully tells that story, coding becomes more accurate, risk adjustment more representative, mortality review more meaningful, and quality measures more closely reflect the care patients actually receive.
For CDI professionals, the message is clear. Documentation integrity has evolved beyond the revenue cycle and become an essential component of quality integrity. As healthcare continues its transition toward outcome-based reimbursement and public accountability, few measures illustrate the strategic importance of complete, accurate, and clinically supported documentation more clearly than Failure to Rescue.
References
- Centers for Medicare & Medicaid Services (CMS). FY 2025 Hospital Inpatient Prospective Payment System (IPPS) and Long-Term Care Hospital Prospective Payment System Final Rule (CMS-1808-F).
https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/fy-2025-ipps-final-rule-home-page - Centers for Medicare & Medicaid Services (CMS). FY 2025 Hospital Inpatient Prospective Payment System (IPPS) Final Rule Fact Sheet.
https://www.cms.gov/newsroom/fact-sheets/fy-2025-hospital-inpatient-prospective-payment-system-ipps-long-term-care-hospital-prospective-0 - Tokareva I, Romano PS. Failure to Rescue. Agency for Healthcare Research and Quality (AHRQ) Patient Safety Network (PSNet). Updated January 29, 2025.
https://psnet.ahrq.gov/primer/failure-rescue - Silber JH, Williams SV, Krakauer H, Schwartz JS. Hospital and Patient Characteristics Associated with Death After Surgery: A Study of Adverse Occurrence and Failure to Rescue. Medical Care. 1992;30(7):615-629.
- Partnership for Quality Measurement (PQM). Measure #4125: Thirty-Day Risk-Standardized Death Rate among Surgical Inpatients with Complications (Failure to Rescue).
https://p4qm.org/ - ICD-10-CM Official Guidelines for Coding and Reporting, FY 2026.
https://www.cms.gov/medicare/coding-billing/icd-10-codes
