By John P. Enterline, Raymond E.Jr. Lenhard, Bruce I. Blum
A medical details procedure for Oncology describes a scientific details method designed and carried out in a melanoma middle yet with vast applicability to scientific perform past the melanoma middle surroundings in either inpatient and outpatient settings. considered as ahead taking a look in 1978, the procedure has the excellence of nonetheless being in creation. certainly, its performance has persevered to develop and its technical implementation to adapt with the altering expertise over the past decade. The authors aspect the services supported by means of this precise procedure, illustrate the way it assists within the care technique, overview its improvement heritage, and evaluation its effect at the supply of care by way of fee, consumer pride, and efficacy. not like a lot info know-how, the approach is an energetic player in scientific choice making: it comprises entire instruments for coping with and showing scientific information; immediately produces care plans from protocols; and lines precise instruments which aid the powerful use of blood items. execs in clinical informatics, health facility directors, and physicians will locate this ebook a beneficial addition to their specialist library.
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Extra resources for A Clinical Information System for Oncology
This implies that the system must be integrated into the care process so that it can respond appropriately. Thus, it must know something about the patient's status to produce the most effective reports. In summary, then, we see that the OCIS was designed to store and organize all patient data in an integrated fashion. It"also manages well-understood knowledge to assist a broad range of medical providers in the various aspects of patient care. To be effective, it is necessary that the OCIS be integrated into the care process.
Data Management in Clinical Decision Making 23 The next philosophic issue to be resolved involves the kinds of knowledge to be used by the system. In an artificial intelligence paradigm, the goal is to have the necessary knowledge stored in the computer to guide the diagnostic or patient management decision making. Heuristics provide satisfactory (as opposed to optimal) advice, and much of the effort in developing a knowledge-based system goes into the process of collecting and formalizing that knowledge base (an activity called knowledge engineering).
In the episodic care of nonreturning patients, there is no loss of information when each treatment sequence is independent. However, for long-term follow-up and continuing care, as one typically finds in a cancer center setting, any distinction between events and data resulting from admissions and outpatient encounters is artificial. Therefore, the OCIS was designed to manage the information about a patient in an integrated unit so that it could report on findings and therapy regardless of episode, location, or source of care.
A Clinical Information System for Oncology by John P. Enterline, Raymond E.Jr. Lenhard, Bruce I. Blum