179:
22:
364:
is the choice of medications for psychiatric conditions. In the United
Kingdom, guidelines or algorithms for this have been produced by most of the circa 500 primary care trusts, substantially all of the circa 100 secondary care psychiatric units and many of the circa 10 000 general practices. In the US, there is a national (federal) initiative to provide them for all states, and by 2005 six states were adapting the approach of the
122:
288:, which are also computer applications used in the medical decision-making field, algorithms are less complex in architecture, data structure and user interface. Medical algorithms are not necessarily implemented using digital computers. In fact, many of them can be represented on paper, in the form of diagrams, nomographs, etc.
363:
A common class of algorithms are embedded in guidelines on the choice of treatments produced by many national, state, financial and local healthcare organisations and provided as knowledge resources for day to day use and for induction of new physicians. A field which has gained particular attention
416:
and it is a key task in training to ensure people step outside the protocol when necessary. In our present state of knowledge, generating hints and producing guidelines may be less satisfying to the authors, but more appropriate.
62:, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Knowledge (XXG).
34:
473:
412:
Medical algorithms based on best practice can assist everyone involved in delivery of standardized treatment via a wide range of clinical care providers. Many are presented as
425:
In common with most science and medicine, algorithms whose contents are not wholly available for scrutiny and open to improvement should be regarded with suspicion.
65:
Do not translate text that appears unreliable or low-quality. If possible, verify the text with references provided in the foreign-language article.
73:
444:
178:
379:. An approach such as this should allow exchange of MLMs between doctors and establishments, and enrichment of the common stock of tools.
365:
523:
165:
132:
285:
467:
Johnson, Kathy A.; Svirbely, John R.; Sriram, M.G.; Smith, Jack W.; Kantor, Gareth; Rodriguez, Jorge Raul (November 2002).
86:
Content in this edit is translated from the existing
Russian Knowledge (XXG) article at ]; see its history for attribution.
237:
A, B, and C are evident, then use treatment X) and also less clear-cut tools aimed at reducing or defining uncertainty. A
296:
A wealth of medical information exists in the form of published medical algorithms. These algorithms range from simple
513:
147:
143:
281:
81:
402:
Computerized health diagnostics algorithms can provide timely clinical decision support, improve adherence to
102:
391:. Medical algorithms assist in standardizing selection and application of treatment regimens, with algorithm
413:
403:
387:
The intended purpose of medical algorithms is to improve and standardize decisions made in the delivery of
95:
395:
intended to reduce potential introduction of errors. Some attempt to predict the outcome, for example
376:
238:
518:
406:
396:
250:
431:
obtained from medical algorithms should be compared with, and tempered by, clinical knowledge and
257:. Medical decisions occur in several areas of medical activity including medical test selection,
207:
449:
270:
266:
77:
490:
482:
319:
254:
454:
495:
468:
249:
Medical algorithms are part of a broader field which is usually fit under the aims of
507:
346:
333:
230:
215:
388:
372:
428:
350:
315:
297:
199:
392:
359:, e.g. a moving circular slide to calculate body surface area or drug dosages.
341:
325:
301:
219:
183:
432:
305:
262:
258:
226:
356:
337:
211:
486:
234:
223:
203:
187:
84:
to the source of your translation. A model attribution edit summary is
329:
150:. Statements consisting only of original research should be removed.
277:
59:
115:
15:
469:"Automated Medical Algorithms: Issues for Medical Errors"
474:
Journal of the
American Medical Informatics Association
139:
182:
A medical algorithm for assessment and treatment of
55:
409:, and be a resource for education and research.
318:, e.g. an on-line or stand-alone calculator for
375:βexists for describing algorithms in terms of
80:accompanying your translation by providing an
46:Click for important translation instructions.
33:expand this article with text translated from
322:(BMI) when stature and body weight are given;
233:approaches to healthcare treatment (e.g., if
8:
368:or otherwise working on their production.
494:
166:Learn how and when to remove this message
177:
353:and nutritional contents of foodstuffs
92:{{Translated|ru|ΠΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΠΉ Π°Π»Π³ΠΎΡΠΈΡΠΌ}}
445:Artificial intelligence in healthcare
241:is also a type of medical algorithm.
7:
311:Examples of medical algorithms are:
308:use only a small subset routinely.
366:Texas Medication Algorithm Project
14:
286:clinical decision support systems
120:
20:
90:You may also add the template
1:
397:critical care scoring systems
146:the claims made and adding
103:Knowledge (XXG):Translation
540:
54:Machine translation, like
336:for deciding what is the
282:artificial neural network
35:the corresponding article
524:Knowledge representation
101:For more guidance, see
481:(6 Suppl 1): s56βs57.
349:, e.g. for looking up
191:
377:medical logic modules
181:
74:copyright attribution
239:medical prescription
487:10.1197/jamia.M1228
300:to complex outcome
251:medical informatics
514:Health informatics
208:statistical survey
192:
131:possibly contains
82:interlanguage link
450:Medical guideline
271:medical equipment
267:automatic control
196:medical algorithm
176:
175:
168:
133:original research
114:
113:
47:
43:
531:
500:
498:
332:, e.g. a binary
171:
164:
160:
157:
151:
148:inline citations
124:
123:
116:
93:
87:
60:Google Translate
45:
42:(September 2015)
41:
24:
23:
16:
539:
538:
534:
533:
532:
530:
529:
528:
504:
503:
466:
463:
461:Further reading
441:
423:
385:
320:body mass index
294:
276:In relation to
255:decision-making
247:
172:
161:
155:
152:
137:
125:
121:
110:
109:
108:
91:
85:
48:
25:
21:
12:
11:
5:
537:
535:
527:
526:
521:
516:
506:
505:
502:
501:
462:
459:
458:
457:
455:Odds algorithm
452:
447:
440:
437:
422:
419:
404:evidence-based
384:
381:
371:A grammarβthe
361:
360:
354:
347:Look-up tables
344:
323:
293:
290:
261:, therapy and
246:
243:
174:
173:
128:
126:
119:
112:
111:
107:
106:
99:
88:
66:
63:
52:
49:
30:
29:
28:
26:
19:
13:
10:
9:
6:
4:
3:
2:
536:
525:
522:
520:
517:
515:
512:
511:
509:
497:
492:
488:
484:
480:
476:
475:
470:
465:
464:
460:
456:
453:
451:
448:
446:
443:
442:
438:
436:
434:
430:
426:
420:
418:
415:
410:
408:
405:
400:
398:
394:
390:
382:
380:
378:
374:
369:
367:
358:
355:
352:
348:
345:
343:
339:
335:
334:decision tree
331:
330:drakon-charts
327:
324:
321:
317:
314:
313:
312:
309:
307:
303:
299:
291:
289:
287:
283:
279:
274:
272:
268:
264:
260:
256:
252:
244:
242:
240:
236:
232:
231:decision tree
228:
225:
221:
217:
216:look-up table
213:
209:
205:
201:
197:
189:
185:
180:
170:
167:
159:
149:
145:
141:
135:
134:
129:This article
127:
118:
117:
104:
100:
97:
89:
83:
79:
75:
71:
67:
64:
61:
57:
53:
51:
50:
44:
38:
36:
31:You can help
27:
18:
17:
478:
472:
429:Computations
427:
424:
411:
401:
389:medical care
386:
373:Arden syntax
370:
362:
310:
298:calculations
295:
275:
253:and medical
248:
218:, useful in
195:
193:
162:
156:October 2007
153:
130:
78:edit summary
69:
40:
32:
351:food energy
316:Calculators
302:predictions
280:-based and
200:computation
519:Algorithms
508:Categories
435:judgment.
407:guidelines
393:automation
342:chest pain
326:Flowcharts
306:clinicians
227:algorithms
220:healthcare
184:overweight
140:improve it
37:in Russian
433:physician
414:protocols
357:Nomograms
263:prognosis
259:diagnosis
144:verifying
96:talk page
439:See also
421:Cautions
338:etiology
304:. Most
292:Examples
235:symptoms
229:include
212:nomogram
72:provide
383:Purpose
284:-based
224:Medical
204:formula
198:is any
188:obesity
138:Please
94:to the
76:in the
39:.
496:419420
493:
265:, and
278:logic
245:Scope
214:, or
56:DeepL
328:and
186:and
70:must
68:You
491:PMC
483:doi
340:of
269:of
222:.
142:by
58:or
510::
489:.
477:.
471:.
399:.
273:.
210:,
206:,
202:,
194:A
499:.
485::
479:9
190:.
169:)
163:(
158:)
154:(
136:.
105:.
98:.
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
