A Measure of Malpractice tells the story and presents the results of the Harvard Medical Practice Study, the largest and most comprehensive investigation ever undertaken of the performance of the medical malpractice system. The Harvard study was commissioned by the government of New York in 1986, in the midst of a malpractice crisis that had driven insurance premiums for surgeons and obstetricians in New York City to nearly $200,000 a year. The Harvard-based team of doctors, lawyers, economists, and statisticians set out to investigate what was actually happening to patients in hospitals and to doctors in courtrooms, launching a far more informed debate about the future of medical liability in the 1990s. Careful analysis of the medical records of 30,000 patients hospitalized in 1984 showed that approximately one in twenty-five patients suffered a disabling medical injury, one quarter of these as a result of the negligence of a doctor or other provider. After assembling all the malpractice claims filed in New York State since 1975, the authors found that just one in eight patients who had been victims of negligence actually filed a malpractice claim, and more than two-thirds of these claims were filed by the wrong patients. The study team then interviewed injured patients in the sample to discover the actual financial loss they had experienced: the key finding was that for roughly the same dollar amount now being spent on a tort system that compensates only a handful of victims, it would be possible to fund comprehensive disability insurance for all patients significantly disabled by a medical accident. The authors, who came to the project from very different perspectives about the present malpractice system, are now in agreement about the value of a new model of medical liability. Rather than merely tinker with the current system which fixes primary legal responsibility on individual doctors who can be proved medically negligent, legislatures should encourage health care organizations to take responsibility for the financial losses of all patients injured in their care.

Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care, a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001), finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€"has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety.

v. 1. Research findings -- v. 2. Concepts and methodology -- v. 3. Implementation issues -- v. 4. Programs, tools and products.